IT Systems Monitoring Jobs in Bengaluru

Solution Engineer Experience: 3 5 Years Location: Mumbai About VuNet VuNet is a trailblazer in Business Journey Observability, leveraging Big Data and Machine Learning to transform digital experiences in the financial services sector. Our platform provides end-to-end visibility into customer journeys, driving proactive issue resolution, operational resilience, and enhanced user satisfaction. With over 28 billion digital transactions monitored monthly, we re already empowering leading banks and financial institutions to improve their digital operations, touching over 300 million users globally. VuNet is Series B funded, part of NASSCOM DeepTech Club, and recognized in Forbes DGEMS 200 and by global analysts such as Gartner and Omdia. Your Role: Solution Engineer We are looking for a Solution Engineer who will serve as a trusted advisor for our customers, understanding their business needs and translating them into actionable solutions using our VuSmartMaps platform. You will collaborate closely with customers to optimize their business processes, IT landscape, and overall customer experience by leveraging advanced observability and analytics capabilities. As a Solution Engineer, you ll work across a diverse range of technologies, from applications and networks to databases and business domains. You ll be instrumental in ensuring that our solutions deliver measurable value, maximize ROI, and help customers gain deeper insights into their infrastructure and application performance. Roles & Responsibilities End-to-End Solution Design: Work across a broad range of infrastructure domains network, compute, storage, databases, applications, transactions, and business domains to design integrated observability solutions tailored to customer needs. Leverage Big Data & AI: Use the Big Data and AI-driven features of VuSmartMaps to provide insights into application performance, enhancing business outcomes and end-user experiences. Customer Collaboration: Engage with customer teams and stakeholders to understand their pain points, gather requirements, and design custom solutions and integrations. Solution Architecture & Validation: Develop detailed design documents for solutions and collaborate with internal engineering teams to validate and refine designs. Identify Critical Metrics: Analyze customer application architectures and transaction workflows to identify key touchpoints, critical metrics, and monitoring requirements. Business Insights & Recommendations: Use analytics to provide actionable insights and business recommendations, helping customers improve system performance and optimize workflows. Platform Implementation: Oversee the planning and execution of platform implementation at customer sites, ensuring smooth and successful deployment. Product Development Feedback: Work with the product team to develop new features, identify bugs, and address solution gaps based on customer feedback and your findings. Continuous Learning: Keep up to date with emerging technologies such as Big Data, NoSQL databases, Elastic Search, MongoDB, and DevOps practices, and apply these learnings to enhance our offerings. What You Bring Experience: At least 3+ years of experience in IT infrastructure, observability, or APM (Application Performance Monitoring). Infrastructure Expertise: Hands-on experience working with large-scale IT infrastructures, including applications, databases, networks, and transactions. Monitoring & Automation Tools: Experience with monitoring tools, automation platforms, and an understanding of observability principles. Scripting Skills: Proficiency in scripting (Python, Bash, or similar languages). Technology Familiarity: Knowledge or experience in technologies like Elastic Search, MongoDB, Big Data, SQL databases, ELK stack, REST APIs, JMX, and related observability tools. Good to Have Certification: CKA (Certified Kubernetes Administrator) certification is a plus. Life at VuNet: At VuNet, we re building a world-class observability platform proudly Made in India. As part of our team, you ll tackle some of the most exciting and complex challenges in the tech world, all while staying ahead of the curve with emerging technologies like Gen AI. Collaboration & Innovation: We re a team of passionate problem-solvers who thrive on collaboration, learning, and innovation. We embrace a high-trust, transparent workplace culture where you can take ownership, grow, and make a meaningful impact. Growth & Development: If you re excited to work with cutting-edge technology, drive real-world impact, and grow in your career, VuNet is the place for you. Benefits for You Comprehensive health insurance coverage for you, your parents, and dependents. Mental wellness and 1:1 counseling support. A learning culture that promotes growth, innovation, and ownership. Transparent and inclusive workplace culture that values high trust. Access to Gen AI and integrated technology workspaces. Career development programs to enhance your skills through continuous training and support.

Position: DevOps Engineering Manager Location: Bangalore Experience: 5 10 years Education: BE/BTech/MCA/MTech/MSc Role Overview: We re looking for an experienced DevOps Engineering Manager to lead our cloud infrastructure, automation, and DevOps initiatives. This is a hands-on leadership role focused on driving efficiency, security, and scalability across our IT operations and development pipelines. Key Responsibilities: Cloud & Infrastructure Management: Administer and manage Google Workspace, including user accounts, security policies, and compliance settings. Oversee and optimize AWS resources (EC2, IAM, S3, VPC), ensuring cost-effective and secure cloud operations. Configure and manage A10 vThunder for load balancing and network performance optimization. Serve as Active Directory Administrator, maintaining AD, DNS, and Group Policy Objects (GPOs). Deploy, maintain, and troubleshoot VMware environments to support virtual infrastructure. Security & Compliance: Manage domain and SSL certificates including installation, renewal, and issue resolution. Handle ADFS token certificate renewals to support uninterrupted authentication services. Enforce security best practices across cloud and on-prem environments. Automation & Scripting: Create and maintain automation scripts using Bash, PowerShell, or Python to streamline workflows. Reduce manual intervention and boost system efficiency through smart scripting and task automation. Monitoring & Troubleshooting: Proactively monitor system logs, performance metrics, and security alerts to prevent downtime. Investigate and resolve issues related to network, infrastructure, and cloud environments promptly. Required Skills & Experience: Proven experience with infrastructure automation tools such as Terraform or CloudFormation. Strong understanding of DevOps practices and implementing CI/CD pipelines for cloud deployments. Solid scripting skills in Bash, PowerShell, or Python. Expertise in managing both cloud-based and on-premise infrastructure. Strong troubleshooting capabilities and a proactive approach to system monitoring. Qualification : BE/BTech/MCA/MTech/MSc

Position: Workato Developer Location: Remote/Hybrid | Bengaluru, IND We're seeking a highly skilled Workato Developer to join our team. If you have deep expertise in automation, APIs, and data integration, you'll be responsible for designing, developing, and maintaining robust integration and automation solutions using the Workato platform. Your work will be crucial in streamlining business processes and enhancing system interoperability. What You'll Do: Integration Development: Design, develop, and implement seamless integrations between various systems using the Workato platform, ensuring data consistency and accuracy across all platforms. Automation: Create and manage powerful automation workflows to optimize business processes, significantly reduce manual tasks, and improve overall operational efficiency. API Management: Work with RESTful and SOAP APIs to build integrations that connect both cloud and on-premises applications, enabling smooth and efficient data exchange. Workflow Orchestration: Design and implement end-to-end workflows that span multiple systems, ensuring smooth data flow and comprehensive process automation. Data Transformation: Develop and manage complex data transformations, mappings, and logic to ensure accurate data migration and synchronization across diverse systems. Monitoring & Troubleshooting: Proactively monitor the performance of integrations and automations, identifying and resolving issues quickly to ensure continuous reliability and optimal performance. Collaboration: Work closely with business analysts, IT teams, and other stakeholders to thoroughly understand integration requirements and translate them into effective technical solutions. Documentation: Create and maintain comprehensive technical documentation for integration designs, workflows, data mappings, and any custom scripts or configurations. Continuous Improvement: Stay updated with the latest Workato features, integration patterns, and best practices. Provide valuable recommendations to enhance existing integrations and workflows. What You'll Bring: Experience: 3+ years in integration development, with at least 1-2 years of hands-on experience specifically with Workato. Workato Expertise: Strong understanding of Workato platform capabilities, including connectors, recipes, triggers, and actions. API Proficiency: Proven experience with RESTful and SOAP APIs, including API design, development, and management. Data Integration: Solid knowledge of data integration best practices, ETL processes, and data synchronization techniques. Cloud & SaaS: Familiarity with major cloud platforms (e.g., AWS, Azure, Google Cloud) and common SaaS applications (e.g., Salesforce, NetSuite, ServiceNow). Problem-Solving: Strong problem-solving skills with the ability to troubleshoot complex integration issues. Scripting: Proficiency in scripting languages (e.g., JavaScript, Python) used in automation and integration contexts. Integration Concepts: Excellent understanding of system integration concepts, including data formats (JSON, XML), messaging patterns, and error handling. Collaboration & Communication: Ability to work effectively both independently and within a collaborative team environment. Strong communication skills to translate business requirements into technical solutions. Attention to Detail: Meticulous attention to detail and a strong commitment to delivering high-quality, reliable integrations. Education: Bachelor s degree in Computer Science, Information Technology, or a related field, or equivalent practical experience. Preferred Qualifications: Certifications: Workato Automation Pro or equivalent certification. Other Platforms: Experience with other integration platforms like MuleSoft, Zapier, or Dell Boomi. Databases: Knowledge of database systems (e.g., SQL, NoSQL) and data modeling concepts. Agile Development: Familiarity with Agile development practices and tools like Jira or Confluence. Enterprise Systems: Experience in developing integrations for ERP, CRM, and other enterprise systems.

Position: IT Automation Engineer Location: Bengaluru, India (Hybrid 3 days onsite) Company: Samsara Technologies India Pvt. Ltd. About Samsara Samsara (NYSE: IOT) is a global leader in the Connected Operations Cloud, empowering organizations in physical operations such as transportation, logistics, construction, and manufacturing to unlock actionable insights from IoT data. With products that improve safety, efficiency, and sustainability, Samsara is at the forefront of digital transformation for industries that power the world. Role Overview As an IT Automation Engineer within Samsara s Business Technology Core IT team, you'll play a key role in streamlining internal IT systems and processes through automation, infrastructure-as-code, and modern DevOps practices. This position emphasizes cloud infrastructure, scripting, CI/CD, and SaaS system integration to support high-growth scalability and efficiency across Samsara's enterprise environment. This hybrid role requires 3 days per week in the Bengaluru office and 2 days remote, operating in India Standard Time (IST). Key Responsibilities Automation & Development Design and build automation scripts and services using Python, Bash, or JavaScript (Node.js). Automate repetitive IT operations across internal platforms, SaaS tools, and cloud infrastructure. Develop and deploy Infrastructure-as-Code (IaC) using Terraform or CloudFormation for AWS environments. Cloud & DevOps Engineering Manage and provision AWS services such as Lambda, EC2, S3, RDS, ECS, API Gateway, etc. Build and maintain CI/CD pipelines and implement containerized solutions using Docker. Implement observability and monitoring solutions using tools like CloudWatch and Splunk. Collaboration & Strategy Partner cross-functionally with IT, security, and business systems teams. Lead strategic automation initiatives to improve IT efficiency at scale. Write and maintain clear documentation for automated workflows and tooling. Minimum Qualifications Bachelor's degree in Computer Science, IT, or a related field. 5+ years in IT automation, DevOps, or software development roles. Strong scripting skills in Python, JavaScript (Node.js), or Go. Hands-on experience with AWS services and IaC tools (Terraform preferred). Experience with SaaS ecosystems like Google Workspace, Okta, Slack, Zoom, GitHub, Zendesk. Proficient in version control using Git/GitHub and building CI/CD pipelines. Strong communication and cross-functional collaboration skills. Preferred Qualifications Familiarity with Atlassian tools (Jira, Confluence), OpsGenie, StatusPage. Experience with Splunk and monitoring large-scale cloud systems. Exposure to Google Cloud Platform (GCP). Experience leading end-to-end internal application development projects. Qualification : Bachelor's degree in Computer Science, IT, or a related field

Job Title: Associate IT Engineer Location: Bangalore North, Karnataka, India Job Type: Full-Time Experience Required: 2 3 Years Industry: Entertainment / Mobile Gaming About Us: We are one of India s most dynamic and fast-growing mobile gaming companies. Since our founding in 2014, we ve been building chart-topping games for a global audience in partnership with Modern Times Group (MTG). Our mission is to create simple, impactful casual gaming experiences at massive scale. Our portfolio includes globally popular titles such as Daily Themed Crossword, WordTrip, WordJam, WordWars, WordTrek, TileMatch, and Jigsaw. Position Summary: We re looking for a motivated Associate IT Engineer to support our growing technology infrastructure. In this role, you ll take ownership of IT operations, endpoint and access management, IT security, cloud platform administration, and day-to-day support tasks ensuring our teams have seamless and secure access to the tools they need. Key Responsibilities: System & Endpoint Management Manage MDM solutions (e.g., Intune, Jamf, JumpCloud, ManageEngine). Automate device provisioning and security configuration processes. Oversee IT asset lifecycle (endpoints, peripherals, and licenses). Identity & Access Management Manage IAM for SaaS tools (e.g., GitHub, Slack, AWS/GCP, Zoom, Apple Store Connect, Google Play). Implement and maintain SSO/SAML integrations for internal tools and dashboards. Security & Compliance Monitor and enhance endpoint and network security (e.g., antivirus, encryption, OS patching). Implement cybersecurity best practices and incident response playbooks. Liaise with internal/external auditors and lead audit compliance processes. IT Support & Operations Provide L1/L2 support for internal IT issues. Monitor infrastructure health and performance via appropriate tools. Maintain technical documentation on Confluence. Support software license deployment and version upgrades with cost optimization. Skills & Requirements: 2 3 years of hands-on IT experience in a similar role. Strong working knowledge of MDM platforms and endpoint security tools. Familiarity with access control and SSO tools. Proficient in managing SaaS environments and troubleshooting desktop hardware/software. Strong grasp of networking fundamentals and cybersecurity principles. Excellent problem-solving skills and stakeholder communication. Experience with infrastructure monitoring tools is a plus. Exposure to cloud platforms (AWS/GCP) preferred. What We Offer: A high-energy, collaborative work culture. Opportunity to work in a fast-scaling, tech-first gaming company. Access to the latest technologies and tools in IT & infrastructure. A chance to shape secure systems used by a globally recognized mobile gaming company.

Senior Information Security Analyst Data Governance Location: Bangalore, India About the Team The Information Security (InfoSec) team at Rubrik strengthens company-wide security through initiatives, tools, and processes that protect data and systems. They also oversee security monitoring, incident response, and educate employees on best practices to secure Rubrik s information assets. Role Overview This role focuses on data governance and security review throughout the Software Development Lifecycle (SDLC) to ensure sensitive data is properly protected. You will collaborate cross-functionally with Legal, Engineering, Product, and IT teams, while also supporting the Security Operations Center (SOC) with expert guidance on data governance during incident response. Key Responsibilities Perform data governance and security reviews during SDLC for new products and features. Manage and document metadata, including data lineage, ownership, and definitions. Conduct audits and assessments to ensure compliance with data governance standards. Maintain strong relationships and communication with internal stakeholders to facilitate governance adherence. Act as a subject matter expert for SOC, supporting incident response from a data security perspective. Support training and awareness programs on data governance policies and best practices. Develop and maintain governance documentation, policies, and procedures. Identify and escalate data governance risks with actionable recommendations. Experience & Qualifications Required: Bachelor s or Master s degree in Information Security, Data Analytics, or related field. 3 5 years in information security, data security, or data governance roles. Strong understanding of data security principles and frameworks (e.g., NIST). Excellent communication, presentation, and documentation skills. Project management skills to lead governance projects. Ability to adapt quickly and maintain professionalism in dynamic environments. Preferred: Certifications: CISSP, CISM, CDPSE, Security+ (or similar). Experience with data governance tools and metadata management. Knowledge of data privacy regulations: GDPR, CCPA, HIPAA. Experience supporting or collaborating with SOC/incident response teams. Strong analytical and problem-solving skills, especially with complex data. Familiarity with cloud-based data security solutions. Rubrik leads in Zero Trust Data Security , providing cutting-edge data protection across enterprise, cloud, and SaaS environments. This role offers an impactful chance to enhance data governance and security in a mission-critical, rapidly evolving tech company. Qualification : Bachelors or Masters degree in Information Security, Data Analytics, or related field.

Lead DevOps Engineer Location: Bengaluru, India Employment Type: Full-time, Hybrid About Neuron7.ai Neuron7.ai is a rapidly growing AI-first SaaS company that is revolutionizing the world of service intelligence. Backed by top-tier venture capitalists in Silicon Valley and a distinguished group of angel investors, we are recognized as a startup to watch. Our platform enables enterprises to make accurate service decisions at scale by delivering service predictions in seconds through the analysis of both structured and unstructured data. At Neuron7.ai, you will be part of a dynamic and innovative team that is pushing the boundaries of service intelligence. We value creativity, collaboration, and a relentless commitment to innovation. This is your opportunity to make a meaningful impact on cutting-edge products at scale, in a fast-growing startup environment. About the Team Join a passionate team of professionals focused on optimizing our infrastructure, deployment processes, and overall system performance. We foster a culture of continuous improvement, where every team member is encouraged to contribute ideas and drive impactful projects. As a Lead DevOps Engineer, you will play a pivotal role in shaping the evolution of our infrastructure and operational efficiency. What You ll Do: CI/CD Pipelines: Lead the design, implementation, and management of CI/CD pipelines to automate and streamline deployment processes. Collaboration: Work closely with software development and IT teams to enhance workflows and ensure efficient release cycles. System Monitoring: Monitor and troubleshoot system performance to ensure high availability and reliability of applications across environments. Cloud Infrastructure: Architect and manage cloud infrastructure (AWS, Azure, GCP) for scalable, secure, and performant application environments. Automation: Automate infrastructure provisioning and configuration management using tools like Terraform, Ansible, or similar technologies. Security & Compliance: Conduct regular system audits, implement security best practices, and ensure compliance with industry standards. Mentorship: Mentor and guide junior DevOps engineers, fostering a collaborative, knowledge-sharing, and growth-focused environment. Documentation: Document processes, configurations, and standard operating procedures to enhance team efficiency and maintain operational excellence. What We re Looking For: Experience: 8+ years of experience in DevOps engineering or a related field. Cloud Expertise: Extensive knowledge and hands-on experience with cloud platforms (AWS, Azure, GCP) and associated services (EC2, S3, Lambda, etc.). Containerization: Strong experience with containerization technologies such as Docker and Kubernetes for managing microservices. Automation Skills: Proficiency in scripting languages (Python, Bash, Ruby) for automation tasks and infrastructure-as-code management. Monitoring & Logging: Familiarity with monitoring and logging tools such as Prometheus, Grafana, and the ELK stack. Problem-Solving: Excellent problem-solving skills with a proactive, solutions-oriented mindset for resolving operational challenges. Collaboration: Strong communication skills with the ability to work collaboratively across teams and influence operational best practices. What We Do and Value: At Neuron7.ai, we prioritize integrity, innovation, and a customer-centric approach. Our mission is to use advanced AI technology to improve service decision-making and we are committed to delivering excellence in all aspects of our work. Company Perks & Benefits: Competitive salary, equity, and spot bonuses Paid sick leave Latest MacBook Pro for your work Comprehensive health insurance Paid parental leave Work from home or from our vibrant Bengaluru office with flexible work arrangements Our Commitment to Diversity and Inclusion: Neuron7.ai is committed to fostering a diverse and inclusive workplace. We ensure equal employment opportunities without discrimination based on race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, marital status, or any other characteristic protected by law. If you re passionate about optimizing deployment processes, improving infrastructure, and driving operational excellence, we d love to hear from you!

Network Engineer Location: Bangalore, Karnataka, India Company: Qualcomm India Private Limited Job Overview Qualcomm is seeking a highly skilled Network Engineer to join our global network operations team. This role will involve working in 24x7 rotational shifts, supporting a heterogenous global network infrastructure. You will be responsible for supporting, maintaining, and optimizing networks consisting of routers, switches, data center networking gear, and load balancers. The ideal candidate will have experience with Cisco, Aruba, Arista, and Citrix NetScaler technologies, as well as a strong background in monitoring and observability tools like Datadog, Splunk, and CAPM. Key Responsibilities Support a global network infrastructure including routers, switches, data center networking gear, and load balancers. Respond to support requests and troubleshoot service problems or outages. Perform upgrades, new installations, enhancements, and configuration changes as required. Develop and maintain documentation related to networking and IT operations. Adhere to corporate change management policies and practices. Assist in the deployment of global networks and work collaboratively with virtual teams across different regions. Support enterprise-wide initiatives and localized solutions spanning multiple departments and functions. Work closely with other IT groups to gather requirements and present solutions to meet business objectives. Support a broad range of IT networking architectures and implementations. Minimum Qualifications 4 to 5 years of experience in core networking skills including LAN, WAN, Data Center, and Load balancers. Prior solid experience in handling L2 and L3 network issues. 3+ years of working experience configuring Cisco IOS and/or NX-OS network equipment. Experience with networking protocols such as OSPF, EIGRP, BGP, STP, QoS, vPC/MLAG/CLAG, VXLAN, and 802.1x. Proficient in TCP/IP operations and troubleshooting. Experience with individual, group, and vendor-assisted troubleshooting. Experience working in large scale IT operations and high-risk networks. Familiarity with Python and Ansible automation for networking. CCNP Certification. Good experience supporting and implementing campus and data center networks. Excellent communication skills, both verbal and written. Preferred Qualifications Experience with Ansible and/or Python automation for networking. Ability to work as part of a virtual global/regional team with cultural and language differences. Experience with Datadog, Splunk, and CAPM as monitoring/observability tools. Solid understanding of IT networking architectures and implementations. Minimum Education Requirements Bachelor s degree in a technical field such as Computer Engineering, Computer Science, or Information Systems. Alternatively, 1+ year of work experience related to Networked Systems with a Bachelor's degree in a non-technical field. Or, 3+ years of work experience related to Networked Systems without a Bachelor's degree. Physical Requirements Ability to frequently transport and install equipment up to 20 lbs. About Qualcomm Qualcomm is a global leader in mobile and telecommunications technology. Our solutions power a wide range of devices, from smartphones to IoT, and we are shaping the future of networking and communication. Join us to help build next-generation network infrastructure and work with innovative technologies! Apply now and become part of Qualcomm's next-generation network engineering team! Qualification : Bachelors degree in a technical field such as Computer Engineering, Computer Science, or Information Systems.

Java Developer Digital Engine Services Company: Pratt & Whitney Location: Bengaluru Experience: 5 8 years Job Type: Full-time About Us Pratt & Whitney, a Raytheon Technologies company, designs the world s most advanced aircraft engines. Our digital transformation efforts include connected engines and diagnostic platforms, enabling safer and smarter flight. Join our global team of innovators redefining aerospace. Role Summary We're hiring a skilled Java Developer to work on our DPHM Ground Station platform, managing engine data ingestion, transfer, and diagnostics. You will develop cloud-based microservices and automation tools to support predictive maintenance and fleet insights. Responsibilities Design and develop Java microservices for file ingestion and transfer. Work with AWS services (Lambda, S3) for cloud-native development. Manage Apache Kafka-based data pipelines. Automate alerts and monitoring systems for engine data processing. Build CI/CD pipelines and implement unit/integration testing. Define KPIs and create dashboards using data cubes and APIs. Collaborate with P&WC IT for DevSecOps and troubleshooting. Qualifications Bachelor s/Master s in Software Engineering or Computer Science. 5 8 years of experience in Java, OOP, cloud, and messaging systems. Hands-on with Kafka, AWS Lambda, CI/CD, and GitHub. Excellent English communication and teamwork skills. Preferred AWS certification IoT data pipeline experience Familiarity with C#/C++ Benefits Flexible work schedules Parental leave and childcare support Career development programs Health and savings plans Apply Now Equal Opportunity Employer All applicants are considered without regard to race, gender, disability, veteran status, or other protected attributes. RTX is an equal opportunity employer. Qualification : Bachelors/Masters in Software Engineering or Computer Science.

Job Title: Technology Support II Location: Bengaluru, India Department: Corporate Technology Team, JPMorgan Chase Job Description As a Technology Support II within the Corporate Technology team at JPMorgan Chase, you will leverage best practices in software engineering to solve complex business problems and drive excellence in technology solutions. You will be responsible for working on small to medium projects independently and collaborating with cross-functional teams to enhance your understanding of business needs and relevant technologies. This role involves championing site reliability practices, applying your experience in Agile SDLC, and proficiency with development toolsets. You will have a solid understanding of application, data, and infrastructure architecture, and effectively use ETL software such as Ab Initio. Staying updated on industry trends, leveraging your knowledge of financial instruments, and fostering an innovative culture will be key to your success. You will apply your software skills in business analysis, development, maintenance, and improvement, all while collaborating within large teams to achieve the organization s goals. Key Responsibilities Site Reliability: Champion site reliability culture, providing technical influence across the team. Agile Practices: Apply your experience with Agile SDLC and proficiency with development tools. Application & Infrastructure Architecture: Demonstrate solid knowledge in application, data, and infrastructure architecture disciplines. ETL Software Usage: Utilize Ab Initio ETL software effectively to process and integrate data. Industry Awareness: Stay informed about technology trends and best practices across the industry. Financial Instrument Knowledge: Leverage knowledge of various financial instruments in your work. Innovation Culture: Foster an innovative culture, bringing passion and creativity to problem-solving. Software Skills Application: Apply your software skills in business analysis, development, maintenance, and improvement. Collaboration: Collaborate effectively in large teams to meet organizational goals. Independent Work: Work independently and take the initiative on tasks and projects. Required Qualifications, Capabilities, and Skills Training & Certification: Formal training or certification in application support concepts, with 2+ years of applied experience. Programming & Scripting: Experience in Python or similar programming languages. Automation Tools: Experience with automation tools such as Ansible, Autosys, or Control-M. Site Reliability Knowledge: Emerging knowledge of reliability, scalability, performance, security, and site reliability best practices. Monitoring & Alerting: Familiar with service level objective alerting and monitoring tools (e.g., Splunk, Datadog, Dynatrace). CI/CD Tools: Familiar with continuous integration and delivery tools such as Jenkins, GitLab, or Terraform. Automation with Terraform & Python: Emerging knowledge of Terraform and automation in Python. Containers & Orchestration: Emerging knowledge of containers and container orchestration tools (e.g., ECS, Kubernetes, Docker). Collaboration Skills: Strong communication and collaboration skills, with the ability to thrive in a fast-paced, dynamic environment. Preferred Qualifications Cloud Experience: Experience with cloud platforms (preferably AWS) and setting up infrastructure using Terraform. Platform Experience: Advantageous to have experience supporting applications on platforms such as Databricks, Snowflake, or AWS EMR. Virtualization & Cloud Architecture: Knowledge of virtualization, cloud architecture, and services for automated deployments. About JPMorgan Chase JPMorgan Chase is one of the oldest and most prominent financial institutions in the world. With over 200 years of history, we provide innovative financial solutions to millions of consumers, small businesses, and some of the world's largest corporate, institutional, and government clients. Our services span across investment banking, consumer banking, small business banking, commercial banking, financial transaction processing, and asset management. Join us and be part of a global leader in the financial services industry.

Job Title: Senior Cloud Data Engineer Experience: 10+ Years Location: Bengaluru About Capgemini Invent: Capgemini Invent is the digital innovation, consulting, and transformation brand of the Capgemini Group. It brings together leading expertise in strategy, technology, data science, and creative design to help CxOs reimagine their businesses. We are a global business line dedicated to helping organizations envision and build what s next. Your Role: As a Senior Cloud Data Engineer at Capgemini Invent, you will design, develop, and maintain scalable data pipelines using advanced cloud technologies to ensure smooth data integration and efficient workflows. You will collaborate with cross-functional teams to deliver robust and optimized data solutions while ensuring compliance and security throughout the process. Key Responsibilities: Design, develop, and maintain scalable data pipelines using AWS services. Optimize data storage and retrieval processes to ensure efficiency and accessibility. Ensure data security and compliance with industry standards, including data privacy laws. Manage large volumes of data, focusing on accuracy, integrity, and secure accessibility. Develop and refine data processes for data modeling, mining, and production. Implement quality checks, data validation, and monitoring of data flows. Collaborate with data scientists, analysts, and IT teams to meet data requirements. Work closely with data architects and modelers on project objectives and solutions. Troubleshoot and resolve issues in data pipelines, ensuring performance tuning and optimization. Develop and implement disaster recovery procedures to safeguard data. Ensure seamless integration of HR and other business data into cloud-based environments. Research new opportunities for data acquisition and discover additional uses for existing data. Stay up-to-date with the latest cloud technologies, data management practices, and trends, including Generative AI. Recommend and implement improvements to enhance data reliability, efficiency, and quality. Your Profile: 10+ years of experience in cloud data engineering. Proficiency with cloud platforms such as AWS, Azure, or Google Cloud. Experience with data pipeline tools like Apache Spark, AWS Glue, or similar technologies. Strong programming skills in Python, SQL, Java, or Scala. Familiarity with Snowflake, Informatica, or similar tools is an advantage. In-depth knowledge of data privacy laws, security best practices, and data governance. Expertise in analyzing and interpreting complex datasets to derive actionable insights. Strong communication, collaboration, and problem-solving skills. Knowledge of database technologies, including SQL, Big Data, and Cloud-based systems. Passion for learning and keeping up with emerging technologies, particularly in Generative AI. Experience working in an Agile framework and managing multiple projects simultaneously. Ability to adapt to evolving priorities and business needs. What You Will Love About Working Here: Flexibility: Enjoy flexible work arrangements such as remote work or flexible hours, ensuring a healthy work-life balance. Career Growth: We offer numerous opportunities for career advancement and personal development, helping you explore diverse paths and expand your skills. Certifications & Learning: Gain valuable certifications in cutting-edge technologies, including Generative AI, to stay ahead of the curve. About Capgemini: Capgemini is a global business and technology transformation partner that helps organizations accelerate their dual transition to a digital and sustainable world. With a team of 340,000 professionals in over 50 countries, we are dedicated to making a tangible impact on enterprises and society. Trusted by clients for over 55 years, Capgemini uses its deep industry expertise and cutting-edge technologies such as AI, cloud, and data to unlock the full potential of businesses worldwide. In 2023, the group reported global revenues of 22.5 billion.

As a Manager of the Spark Technical Solutions team, you will lead & manage a team of Technical solution engineers and be responsible for driving deep dive technical solutions for any issues reported by Databricks customers. We expect the manager to resolve challenges with comprehensive technical and customer communication skills. You will assist our customers in their Databricks journey and provide them with the guidance, knowledge, and expertise that they need to realise value and achieve their strategic objectives using our products. The impact you will have: As a manager and member of the leadership team, you will be directly responsible for the management of Technical solution engineers, team leads and operations personnel Responsible for directly monitoring, reporting, and driving improvements to team-level metrics and KPIs, acting as an escalation point with customers and internal teams, and optimising and developing support processes and tools Responsible for working across multiple cross functional teams that include Engineering, product management, sales and customer success; manage Hiring, mentoring and onboarding new support engineers Regularly meet one-on-one with your direct reports, conducting annual reviews and career development discussions throughout the year Be a hands on manager to assist the team members in resolving issues related to Spark core internals, Spark SQL, Structured Streaming, Delta, Lakehouse and other databricks runtime features Manage and drive best practices guidance around Spark runtime performance and usage of Spark core libraries and APIs for custom-built solutions developed by Databricks customers; contribute in the development of tools/automation initiatives Own Engineering JIRA tickets and proactively work to bring quicker resolutions to customer reported issues; participate in creation of knowledge base articles Participate in weekend and weekday on-call rotation and run escalations during databricks runtime outages, incident situations, ability to multitask and plan day 2 day activities and provide escalated level of support for critical customer operational issues, etc What we look for: Min 10-12 years of experience in designing, building, testing, and maintaining Python/Java/Scala/Spark based applications in a typical project delivery and consulting environments with 4+ years working as a Manager 5+ years of hands-on experience in developing and leading any two or more of the Big Data, Hadoop, Spark,Machine Learning, Artificial Intelligence, Streaming, Kafka, Data Science, ElasticSearch related industry use cases at the production scale. Spark experience is mandatory Hands on experience in the performance tuning/troubleshooting of Hive and Spark based applications at production scale. Real time experience in JVM and Memory Management techniques such as Garbage collections, Heap/Thread Dump Analysis is preferred Working and hands-on experience with Data lakes and any SQL-based databases, Data Warehousing/ETL technologies like Informatica, DataStage, Oracle, Teradata, SQL Server, MySQL is preferred Hands-on experience with AWS or Azure or GCP is preferred Experience in implementing CI/CD, Monitoring/alerting for Production Systems Technical lead in design, implementation and support of large scale data and analytics solutions that are highly reliable, flexible, and scalable Experience in leading and managing end-to-end projects and have reported and escalated to top levels Experience in managing and leading teams in an organisation involving multiple reporting lines Strong written and verbal communication skills; very good analytical, organisational, multi-tasking skills About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide including Comcast, Cond Nast, Grammarly, and over 50% of the Fortune 500 rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark , Delta Lake and MLflow. To learn more, follow Databricks on Twitter,LinkedIn and Facebook . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visithttps://www.mybenefitsnow.com/databricks. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

As a Senior Manager of the Spark Technical Solutions team, you will lead & manage a team of Technical Solution Engineers (Spark) and be responsible for driving deep dive technical solutions for any issues reported by Databricks customers. We expect the manager to resolve challenges with comprehensive technical and customer communication skills. You will assist our customers in their Databricks journey and provide them with the guidance, knowledge, and expertise that they need to realise value and achieve their strategic objectives using our products. The impact you will have: As a manager and member of the leadership team, you will be directly responsible for the management of Technical solution engineers, team leads and operations personnel Responsible for directly monitoring, reporting, and driving improvements to team-level metrics and KPIs, acting as an escalation point with customers and internal teams, and optimising and developing support processes and tools Responsible for working across multiple cross functional teams that include Engineering, product management, sales and customer success; manage Hiring, mentoring and onboarding new support engineers Regularly meet one-on-one with your direct reports, conducting annual reviews and career development discussions throughout the year Be a hands on manager to assist the team members in resolving issues related to Spark core internals, Spark SQL, Structured Streaming, Delta, Lakehouse and other databricks runtime features Manage and drive best practices guidance around Spark runtime performance and usage of Spark core libraries and APIs for custom-built solutions developed by Databricks customers; contribute in the development of tools/automation initiatives Own Engineering JIRA tickets and proactively work to bring quicker resolutions to customer reported issues; participate in creation of knowledge base articles Participate in weekend and weekday on-call rotation and run escalations during databricks runtime outages, incident situations, ability to multitask and plan day 2 day activities and provide escalated level of support for critical customer operational issues, etc What we look for: Min 10-12 years of experience in designing, building, testing, and maintaining Python/Java/Scala/Spark based applications in a typical project delivery and consulting environments with 4+ years working as a Manager 5+ years of hands-on experience in developing and leading any two or more of the Big Data, Hadoop, Spark,Machine Learning, Artificial Intelligence, Streaming, Kafka, Data Science, ElasticSearch related industry use cases at the production scale. Big Data / Spark hands on-experience is mandatory Hands on experience in the performance tuning/troubleshooting of Hive and Spark based applications at production scale. Real time experience in JVM and Memory Management techniques such as Garbage collections, Heap/Thread Dump Analysis is preferred Working and hands-on experience with Data lakes and any SQL-based databases, Data Warehousing/ETL technologies like Informatica, DataStage, Oracle, Teradata, SQL Server, MySQL is preferred Hands-on experience with AWS or Azure or GCP is preferred Experience in implementing CI/CD, Monitoring/alerting for Production Systems Technical lead in design, implementation and support of large scale data and analytics solutions that are highly reliable, flexible, and scalable Experience in leading and managing end-to-end projects and have reported and escalated to top levels Experience in managing and leading teams in an organisation involving multiple reporting lines About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide including Comcast, Cond Nast, Grammarly, and over 50% of the Fortune 500 rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark , Delta Lake and MLflow. To learn more, follow Databricks on Twitter,LinkedIn and Facebook . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visithttps://www.mybenefitsnow.com/databricks. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Job Overview: We are seeking a highly skilled Frontline Senior Technical Solutions Engineer with over 5 years of experience to join our Platform Support team. This role is pivotal in delivering exceptional support for our Databricks Data Intelligence platform, addressing complex technical challenges, and ensuring the seamless operation of our data solutions. As a frontline engineer, you will be the primary point of contact for critical issues, working closely with both internal teams and customers to resolve high-impact problems and drive platform improvements. Key Responsibilities: Frontline Support: Serve as the primary technical point of contact for escalated issues related to the Databricks Data Intelligence platform. Provide expert-level troubleshooting, diagnostics, and resolution for complex problems affecting system performance and reliability. Customer Interaction: Engage with customers directly to understand their technical issues and requirements. Provide timely, clear, and actionable solutions to ensure high levels of customer satisfaction. Incident Management: Lead the resolution of high-priority incidents, coordinating with various teams to address and mitigate issues swiftly. Conduct thorough root cause analyses and develop preventive measures to avoid recurrence. Collaboration: Work closely with engineering, product management, and DevOps teams to share insights, identify recurring issues, and drive improvements to the Databricks Data Intelligence platform. Documentation and Knowledge Sharing: Create and maintain detailed documentation on support procedures, known issues, and solutions. Contribute to internal knowledge bases and create training materials to assist other support engineers. Performance Monitoring: Monitor and analyze platform performance metrics to identify potential issues before they impact customers. Implement optimizations and enhancements to improve platform stability and efficiency. Platform Upgrades: Manage and oversee the deployment of Databricks Data Intelligence platform upgrades and patches, ensuring minimal disruption to services and maintaining system integrity. Innovation and Improvement: Stay abreast of industry trends and advancements in Databricks technology. Propose and drive initiatives to enhance platform capabilities and support processes. Customer Feedback: Collect and analyze customer feedback to drive continuous improvement in support processes and platform features. Qualifications: Experience: Minimum of 5 years of hands-on experience in a technical support or engineering role related to Databricks Data Intelligence platform, cloud data platforms, or big data technologies. Technical Skills: A deep understanding of Databricks architecture and Apache Spark, along with experience in cloud platforms like AWS, Azure, or GCP, is essential. Strong capabilities in designing and managing data pipelines, distributed computing are required. Proficiency in Unix/Linux administration, familiarity with DevOps practices, and skills in log analysis and monitoring tools are also crucial for effective troubleshooting and system optimization. Problem-Solving: Demonstrated ability to diagnose and resolve complex technical issues with a strong analytical and methodical approach. Communication: Exceptional verbal and written communication skills, with the ability to effectively convey technical information to both technical and non-technical stakeholders. Customer Focus: Proven experience in managing high-impact customer interactions and ensuring a positive customer experience. Collaboration: Ability to work effectively in a team environment, collaborating with engineering, product, and customer-facing teams. Education: Bachelor s degree in Computer Science, Engineering, or a related field. Advanced degree or relevant certifications are highly desirable. Preferred Skills: Experience with additional big data tools and technologies such as Hadoop, Kafka, or NoSQL databases. Familiarity with automation tools and CI/CD pipelines. Understanding of data governance and compliance requirements. Innovative Environment: Work with cutting-edge technology in a fast-paced, innovative company. Career Growth: Opportunities for professional development and career advancement. Team Culture: Collaborate with a talented and motivated team dedicated to excellence and continuous improvement. About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide including Comcast, Cond Nast, Grammarly, and over 50% of the Fortune 500 rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark , Delta Lake and MLflow. To learn more, follow Databricks on Twitter,LinkedIn and Facebook . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visithttps://www.mybenefitsnow.com/databricks. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to pr...

About Databricks At Databricks, we are driven by our passion for enabling data teams to solve the world s most challenging problems from building the next mode of transportation to accelerating medical breakthroughs. We achieve this by creating the world s leading data and AI infrastructure platform, empowering our customers to leverage deep data insights to transform their businesses. Founded by engineers and customer-obsessed, we thrive on solving technical challenges, whether it s designing next-gen UI/UX for data interaction or scaling services and infrastructure across millions of virtual machines. And we re just getting started. The Opportunity As one of the first Engineering Managers in the Software Engineering team at Databricks India, you will be at the forefront of building infrastructure and products at scale for the Databricks platform. You will lead a talented team working on complex and highly scalable systems, contributing to multiple domains, including: Resource management infrastructure for big data and machine learning workloads scalable, secure, and cloud-agnostic. Reliable, scalable services and client libraries that handle massive amounts of data across multiple regions and cloud providers. Developer tools for operating services across different clouds and environments. Services and infrastructure at the intersection of machine learning and distributed systems. The Impact You Will Have Build and lead an exceptional engineering team by hiring and retaining top talent. Ensure high technical standards through robust processes (e.g., architecture reviews, testing) and foster a culture of engineering excellence. Define and execute long-term roadmaps, collaborating with engineering and product leadership. Coordinate execution and unblock cross-team projects, ensuring alignment and timely delivery. What We Look For 10+ years of experience with large-scale distributed systems, including strong expertise in testing, monitoring, and defining SLAs. Proven experience as a Software Engineering Leader, building and scaling engineering teams from the ground up. Strong technical background, with extensive experience managing high-performing software engineering teams. Proven ability to partner with Product Management, Sales, and Customers to develop innovative features and products. BS (or higher) in Computer Science or a related field. About Databricks Databricks is the data and AI company, trusted by more than 10,000 organizations worldwide, including Comcast, Cond Nast, Grammarly, and over 50% of the Fortune 500. We help unify and democratize data, analytics, and AI through the Databricks Data Intelligence Platform. Founded by the original creators of Apache Spark, Delta Lake, MLflow, and the Lakehouse architecture, Databricks is headquartered in San Francisco with offices across the globe. Qualification : BS (or higher) in Computer Science, or a related field.

At Databricks, we are obsessed with Data + AI to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high-value challenges that are central to their missions. Founded in 2013 by the original creators of Apache Spark , Databricks has grown from a tiny corner office in Berkeley, CA to a global organization with over 6500 employees. Thousands of organizations, from small to Fortune 100, trust Databricks with their mission-critical workloads, making us one of the fastest-growing SaaS companies in the world. The Money team's mission at Databricks is to maximize the value that our customers derive from their investments in data projects. We accomplish this through innovative commercialization strategies, timely & accurate billing, cost optimization tools, intelligent resource usage controls, and cutting-edge engineering. We provide a seamless and consistent set of platforms to enable all Databricks products to reach customers quickly, and sustainably. As the first Engineering Manager for Money at Databricks India, you will be key to building a base for one of Databricks most central engineering orgs. You will own critical components that form the backbone of our business, starting with Databricks resource admission control and usage governance infrastructure. Your role is crucial in helping bring diverse business needs together, including abuse prevention, product commercialization motions, and reliable product availability at scale. You will work closely with infrastructure as well as product teams in bringing critical governance functionality to Databricks customers. The impact you will have: Hire great engineers to build an outstanding team and support their career development by providing clear and timely feedback Ensure high technical standards by instituting processes (architecture reviews, testing) and culture (engineering excellence) Work with engineering and product leadership to build a long-term roadmap Coordinate execution and collaborate across teams to successfully deliver cross-cutting strategic projects What we look for: 10+ years of extensive experience with large-scale distributed systems alongside processes around testing, monitoring, SLAs etc 5+ years of engineering management experience, building, managing and mentoring high-performing software engineering teams Demonstrated success in collaborating with multiple cross-functional stakeholders to align system features and architecture, to deliver impactful platform projects Experience in developing and implementing proactive mechanisms for failure detection and incident prevention Excellent leadership, communication, and project management skills BS (or higher) in Computer Science, or a related field About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide including Comcast, Cond Nast, Grammarly, and over 50% of the Fortune 500 rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark , Delta Lake and MLflow. To learn more, follow Databricks on Twitter,LinkedIn and Facebook . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visithttps://www.mybenefitsnow.com/databricks. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone. Qualification : BS (or higher) in Computer Science, or a related field.

Description At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com/. Johnson & Johnson is recruiting for some great opportunities for its Global Services (GS) in Bangalore, India which is well equipped with the latest technology and modern infrastructure. This is your chance to work with the best talent in a workforce that reflects the diverse markets Johnson & Johnson serves around the world, and an inclusive culture that values different perspectives and life experiences. Reimagine the possibilities at Johnson and Johnson Global Finance! We live this motto every day by creating exciting business solutions for the world s largest and most broadly-based healthcare company. As a member of our Global Finance team, you will have exclusive access to a network of financial professionals located in over 60 countries. This new network will help you build on your current skills and explore opportunities to grow your career in J&J. At J&J Global Finance, we value ideas for innovation and improvement and are committed to diversity and inclusion. Together we will reinvent business processes to become more effective, more efficient, and improve customer experience. We are proud to be an equal opportunity employer. The Global Services Finance organization provides best-in-class, cost-effective financial services, and compliance support in a J&J way to our Operating Companies around the world. Risk Management & Compliance (RM&C) is one of such initiative under Global Services Finance. RM&C, ASPAC is seeking a Risk Management & Compliance Analyst who will have responsibility for fulfilment of the SOX and Compliance programs across J&J entities, training and advisory along with all Compliance related support to different sectors and performing walkthroughs, sampling, testing the effectiveness of control deployment, documentation of testing results, remediation support, monitoring, audit support, project support etc. Key Responsibilities 1. Be compliant with applicable laws and regulations, and follow guidelines in the J&J Credo 2. Maintain Operational Excellence Deep expertise and knowledge of the Worldwide Procedures and compliance requirements for respective areas. Identify compliance risks and recommend solutions to remediate / prevent breach. Ensure strong internal controls are in place and maintain compliant environment across the Organisation. Responsible for performing Compliance Health Checks and other internal reviews to test the effectiveness of the control placement. Support timely closing & execution of financial periods as per closing calendar and in accordance with SLA commitments, fully observing Compliance, Internal Audit & SOX requirements. Accountable for supporting completeness, accuracy and validity of the actuals reported within process/entity scope. Work closely with all business process and IT team members to communicate compliance requirements, documentation standards, sign-offs and review processes. Provide trainings to all business process owners for any change/update in financial procedures. Support projects, business partnering with collaborators, assisting business process owners with adoption of J&J policies & procedures. Support in standard Compliance document requirements: Risk Control Matrix, Hand-off s, SOPs and submission of required SOX templates (system inventory templates, SOX questionnaires etc.). Performs control walkthrough, operational testing and discusses the findings with the process owners. Conduct compliance due diligence for transitions in-scope. Testing of preventive & detective UA/SOD Controls (e.g. granting, facilitating appropriateness & semi-annual reviews) across all ERP systems. Support Sectors during Corporate Financial Audits. Supervise and drive the Corrective Action Plan (CAP) process, to ensure audit(internal & external) recommendations and key control gaps per SOX testing are implemented and other internal control gaps are closed timely and effectively. Be A Trusted Business Partner Implement global Strategy & Solutions in line with taxonomy. Support Process Subject Matter Experts (SME's) and Operational Key Contacts (OKC's) to ensure cross sector, cross region, and cross process alignment, ensuring good documentation is maintained and consistency of a global approach Create radical Innovation Generate ideas, fosters, and implements continuous improvement attitude, identifying and pursuing process efficiency opportunities. Manage operational improvements, generating ideas and implementing in line with global standards. Qualifications Qualifications Education A minimum of a Bachelor s level degree or equivalent is required, preferably in accounting, finance, or related business subject area. ACA, CPA and/or other financial certifications is highly preferred. Required At least 1 - 3 years of post qualification experience is required: Strong knowledge and understanding of accounting and financial processes (for Trading as well as Manufacturing business), shared services and related subject matter Understanding of internal controls, risk management, US GAAP accounting, financial systems, IT development and/or production support Clear understanding of SOX 404 requirements Understanding of audit procedures and auditing practices Experience in developing and managing audit programs desirable Experience in performing audits of financial processes and systems required, preferably in manufacturing/trading/service industry At least 1 year Management / Supervisory / team handling experience i...

HPE Global IT is a dynamic organization enabling digital transformation through cutting-edge technology solutions. As an AI Governance Lead, you will play a pivotal role in defining and implementing governance frameworks to ensure the responsible and ethical use of AI technologies within HPE. Key Responsibilities Translate high-level business objectives into AI governance requirements and frameworks. Define and prioritize AI governance program goals based on business needs and compliance requirements. Develop, implement, and support AI governance strategies that align with HPE s overall AI vision. Ensure AI projects comply with governance and ethical standards through design reviews and assessments. Analyze business requirements for AI initiatives to design robust governance frameworks. Monitor AI risks, generate key performance metrics, and regularly report on governance effectiveness. Collaborate with Privacy, Cybersecurity, and AI Ethics teams to ensure regulatory compliance. Manage AI governance tools and systems for compliance monitoring and performance analysis. Lead and mentor a technical team of full-time employees and contractors. Establish relationships with vendors and negotiate cost-efficient contracts for AI tools and services. Represent AI governance initiatives in customer-facing discussions and engagements. Willingness to travel domestically or internationally as needed. Required Qualifications Education & Experience: Bachelor s degree with a minimum of 12 years of experience, or Master s degree with a minimum of 10 years of experience in AI governance, IT strategy, or a related field. Skills & Competencies: Leadership & Team Management Strong ability to lead, mentor, and manage technical teams. AI & Data Governance Expertise Deep understanding of AI technologies, machine learning models, and data privacy regulations. Program Management Ability to oversee complex AI governance programs with both technical and business considerations. Problem-Solving & Analytics Strong analytical skills to assess governance risks and implement effective solutions. Communication & Stakeholder Management Ability to explain AI governance concepts to non-technical audiences and collaborate across functions. Preferred Qualifications Experience in Cisco Security Technologies and AI security compliance frameworks. Strong knowledge of privacy regulations, cybersecurity policies, and AI ethical principles. Familiarity with AI risk assessment models and compliance auditing tools. Why Join HPE? Health & Wellbeing We offer a comprehensive benefits package to support your physical, financial, and emotional well-being. Personal & Professional Development HPE invests in your career growth through specialized training programs and internal mobility opportunities. Diversity, Inclusion & Belonging We embrace diversity and create an inclusive work environment where everyone feels valued and empowered. At HPE, we make bold moves together. Join us in shaping the future of AI governance and enterprise innovation! Qualification : Bachelors degree with a minimum of 12 years of experience, or Masters degree with a minimum of 10 years of experience in AI governance, IT strategy, or a related field.

Job Description HPE Global IT enables enterprise innovation through cutting-edge IT solutions. We develop advanced, scalable, and efficient IT systems that simplify business operations and drive global transformation. As a Senior Middleware Engineer, you will play a key role in designing, developing, and maintaining SnapLogic-based middleware solutions. You will work closely with cross-functional teams, providing technical leadership and ensuring seamless data integration across platforms. Your expertise will drive innovation, optimize performance, and enhance system reliability. Key Responsibilities Technical Leadership: Lead cross-functional teams in designing, developing, and optimizing SnapLogic-based middleware solutions. Integration Development: Build and maintain integrations using SnapLogic, Kafka, SFTP, SFDC, and APIs. Performance Optimization: Debug and optimize existing SnapLogic flows for efficiency and scalability. Automation & DevOps: Implement CI/CD pipelines, GIT version control, and automation scripts to streamline deployments. Testing & Agile Methodology: Ensure high-quality delivery by incorporating testing best practices and adhering to Agile methodologies. Stakeholder Collaboration: Work closely with business, IT, and external vendors to deliver seamless integration solutions. Support & Maintenance: Provide ongoing support, troubleshooting, and monitoring of middleware systems, including handling critical MTP or MI support shifts as needed. Required Qualifications Education & Experience: Bachelor s degree in a technical field (or equivalent experience). 12+ years of relevant experience (10+ years with a Master s degree). Technical Skills: Mandatory: 15+ years of IT experience, with 8+ years of hands-on SnapLogic experience. Expertise in debugging and optimizing SnapLogic flows. Strong experience with Kafka integration and utilization in SnapLogic. Solid understanding of CI/CD pipelines, GIT, and automation scripting. Hands-on experience with SFTP, SFDC, and API integrations. Advanced knowledge of modern software development methodologies, tools, and testing frameworks. Preferred: Strong project management and business analysis skills. Experience with vendor and customer management. Strong analytical and problem-solving abilities. Excellent communication, collaboration, and mentoring skills. Highly motivated, proactive, and eager to learn new technologies. Comfortable with working in shifts when required for critical support. Why Join HPE? Health & Wellbeing Comprehensive benefits package supporting physical, financial, and emotional wellness. Career Growth & Learning HPE invests in professional development through mentorship programs, technical training, and cross-functional career opportunities. Diversity & Inclusion We embrace diverse backgrounds and experiences, fostering an inclusive environment where everyone thrives. If you're passionate about middleware integration, innovation, and cutting-edge technology, join us and shape the future of enterprise IT! Qualification : Bachelors degree in a technical field (or equivalent experience).

Job Description We are seeking a highly skilled Data Acquisition Platform Engineer to join our dynamic team and help build AI/ML-driven solutions that process and classify unstructured data from diverse sources. This role involves designing and developing Python-based systems for data acquisition, processing, and deployment on GCP cloud. You will work with cutting-edge technologies to create solutions that integrate AI/ML models to parse and make data available for downstream consumption. Your Team Responsibilities Data Acquisition: Work on building a platform that acquires unstructured data from multiple sources such as financial documents, websites, and news. Data Processing: Utilize AI/ML models to map, classify, and process unstructured data for downstream system consumption. Cloud Deployment: Deploy the application on Google Cloud Platform (GCP) through DevOps processes, ensuring seamless and scalable operations. Model Management: Create, fine-tune, and deploy Machine Learning models (LLMs) for data classification, parsing, and processing. Application Maintenance: Manage and monitor the platform through various dashboards, ensuring it meets performance and reliability standards. Your Key Responsibilities Design and develop Python-based applications that leverage AI/ML technologies for unstructured data acquisition and processing. Deploy applications using DevOps methodologies on GCP or Azure cloud environments. Build and maintain Machine Learning models for tasks such as text classification, data parsing, and integration. Create interactive dashboards for monitoring and maintaining system performance. Continuously innovate by implementing and integrating the latest advancements in AI/ML, particularly in Natural Language Processing (NLP) and Transformers. Skills and Experience That Will Help You Excel 1. Python & Machine Learning: Strong experience in Python for building scalable data systems and integrating AI/ML models. Expertise in working with Transformers, NLP, and other advanced Machine Learning models for unstructured data processing. 2. Cloud & DevOps: Experience deploying applications on Google Cloud Platform (GCP) or Azure using DevOps tools and processes. Proficiency in building scalable, cloud-native applications that are easy to maintain and monitor. 3. Data Processing & Integration: Knowledge of data parsing, classification, and processing of unstructured data (e.g., text, documents, etc.). Experience in integrating AI/ML models with data pipelines for downstream consumption. 4. Tools and Technologies: Proficiency in DevOps tools for cloud deployment and automation. Familiarity with CI/CD pipelines and tools like Docker, Kubernetes, and Terraform. What We Offer Compensation & Benefits: Transparent compensation schemes and comprehensive employee benefits tailored to your location, ensuring your financial security, health, and overall well-being. Flexible Working: Flexible work arrangements, advanced technology, and collaborative workspaces. Learning & Development: Access to Learning@MSCI, LinkedIn Learning Pro, and customized learning opportunities for continuous professional growth. Career Growth: Multi-directional career paths, offering internal mobility and professional development opportunities. Inclusive Culture: A workplace that embraces diversity and inclusion, supported by various Employee Resource Groups such as Pride & Allies, Women in Tech, and Climate Action Network. Global Network: Work with a talented network of colleagues across the globe and contribute to innovative solutions for the global investment community. Equal Opportunity MSCI is an equal opportunity employer committed to diversifying its workforce. We ensure equal employment opportunities without discrimination or harassment based on race, religion, gender, disability, or any other characteristic protected by law. MSCI is also committed to providing reasonable accommodations for individuals with disabilities.