Cloud Automation Tools Jobs in Bengaluru

Lead Platform Engineer Observability Solutions Location: Bengaluru Experience: 6 10 Years Function: Observability Engineering | Platform Architecture | SRE Enablement Join VuNet Redefining Digital Observability at Scale VuNet is transforming the future of digital experiences through Business Journey Observability, combining Big Data and AI/ML to empower real-time visibility across payments, banking, and financial services. Monitoring 28+ billion transactions/month, our platform is trusted by top financial institutions and powers over 300 million users. Backed by Series B funding and recognized by Gartner, NASSCOM, and Forbes, we are leading the charge in building a new category of observability, proudly Made in India for global impact. Your Role: Lead Platform Engineer As the Lead Platform Engineer, you will architect and drive the development of packaged observability solutions across 100+ infrastructure and application technologies. You will define **golden signals**, build **data collection strategies**, and lead the standardization of alerts, dashboards, and RCA workflows for platforms like **Kubernetes, Oracle DB, and Tomcat**. This is a cross-functional leadership role that sits at the intersection of product, platform, DevOps, and SRE. You will **lead a team** and influence how observability is delivered, scaled, and adopted across complex environments. Key Responsibilities Observability Solution Development Design and lead the delivery of observability packages for databases, middleware, cloud-native, and legacy platforms. Define and implement data collection pipelines, including agents, APIs, logs, metrics, traces, and service discovery. Establish **golden signals, SLIs/SLOs**, and health KPIs for performance, availability, and anomaly detection. Dashboards, Alerts & RCA Develop standardized, reusable dashboards, alerts, reports, and troubleshooting playbooks. Automate **RCA workflows** to improve MTTR and reduce alert fatigue. Platform Enablement & Integration Work with engineering to enhance agent capabilities and support new data sources/formats. Guide implementation of platform features for better observability at scale. Team Leadership & Governance Lead and mentor a team of observability engineers and specialists. Define design patterns, reusable modules, and version-controlled libraries. Stakeholder Collaboration Partner with product managers, DevOps, SREs, and customer teams to gather requirements, align priorities, and validate use cases. Ensure deliverables are scalable, well-documented, and production-ready. What You Bring Must-Have Skills 6 10 years of experience in observability, platform engineering, or SRE roles. Hands-on with tools like Prometheus, Grafana, OpenTelemetry, ELK/EFK, Datadog, Splunk. Strong understanding of logs, metrics, traces, profiling, and collection strategies. Experience developing solutions for platforms like Kubernetes, Oracle, PostgreSQL, Tomcat, etc. Proficient in Python, Shell scripting, APIs, and automation tools (**Terraform**, etc.). Familiar with alert fatigue mitigation, anomaly detection, and RCA frameworks. Excellent communication, technical leadership, and documentation skills. Nice to Have Experience managing an observability marketplace or solution catalog. Contributions to open-source observability projects. Certifications in Kubernetes, Observability platforms, or cloud providers (AWS/GCP/Azure). Background in ITSM tools, CMDBs, or incident workflow automation. At VuNet, you ll help build a category-defining observability platform that s already transforming critical infrastructure for leading financial institutions. You ll work with passionate engineers, push technical boundaries, and grow in a high-trust, high-impact environment. What You ll Experience: Ownership of key observability initiatives impacting 300M+ users. Collaboration with SRE, DevOps, and product teams across real-time financial systems. Opportunity to experiment with and shape Gen AI, ML, and emerging telemetry trends. Perks & Benefits Health insurance for you, your parents, and dependents. 1:1 mental wellness support. Training programs, certifications, and career growth opportunities. Transparent, inclusive, and high-trust work culture. Access to cutting-edge technology and Gen AI-powered workspaces.

Position: DevOps Engineer-2 Location: Bengaluru Employment Type: Full-Time Department: Engineering Job Description: We are looking for a skilled DevOps Engineer-2 to design, implement, and maintain secure, scalable, and highly available infrastructure. You will play a key role in automating infrastructure provisioning, capacity planning, and building robust monitoring and CI/CD pipelines. Responsibilities: Design and implement secure, scalable infrastructure solutions. Automate infrastructure provisioning, demand forecasting, and capacity planning. Develop automation tools and frameworks to enhance system observability, availability, reliability, performance, and latency monitoring. Monitor system health, application performance, security controls, and cost optimization. Participate in sustainable incident response, peer reviews, and blameless postmortems. Lead the adoption and rollout of best DevOps tools and automation practices across services. Build and maintain continuous integration and continuous deployment (CI/CD) pipelines. Required Skills and Experience: Minimum 3 years of experience in DevOps and cloud technologies. Expertise in at least one major cloud platform: AWS, Azure, or GCP. Strong production experience with Kubernetes, including deployment, management, and troubleshooting. Proven ability to design scalable and resilient infrastructure architectures. Proficiency with infrastructure-as-code tools such as Terraform, Pulumi, or CloudFormation. Strong debugging and troubleshooting skills. Deep knowledge of Linux servers and networking fundamentals. Hands-on experience with scripting or programming languages like Python, Shell, Go, or Java. Familiarity with monitoring and observability tools such as DataDog, NewRelic, ELK stack, Prometheus, or Grafana. Understanding of modern cloud-native development practices including microservices architecture and RESTful APIs. Ability to thrive in a fast-paced, dynamic work environment.

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

Job Title: Director of QA Location: Bangalore Department: Quality Engineering Employee Type: Full-time Experience Required: 14 18 years Position Overview We are seeking an accomplished and visionary Director of Quality Assurance (QA) to lead our QA organization and ensure the delivery of world-class products. This leadership role requires deep expertise in quality engineering, strong technical acumen, and a strategic mindset. You will be responsible for defining the overall QA strategy, scaling high-performing teams, and implementing modern testing frameworks and methodologies that align with business and product objectives. This is a high-impact role, collaborating cross-functionally to champion a culture of quality across the organization. Key Responsibilities Strategic Leadership Define and execute a comprehensive QA vision and strategy aligned with the company's product development goals. Evolve QA methodologies and processes by integrating Agile, DevOps, and shift-left principles. Stay ahead of QA industry trends and innovations to drive continuous improvement and efficiency. Team Leadership & Development Recruit, build, and mentor a world-class QA team including managers, leads, and engineers. Foster a culture of ownership, collaboration, and continuous learning. Conduct regular performance reviews and support career development through coaching and training. Promote a "quality-first" mindset across all engineering and product teams. Quality Assurance & Testing Oversee planning and execution of all QA activities including functional, non-functional (performance, security, usability), automation, and regression testing. Lead the implementation and scaling of test automation frameworks to improve speed, coverage, and reliability. Manage defect tracking and resolution processes, ensuring root cause analysis and timely resolution. Define, track, and report on key quality metrics such as defect density, test coverage, automation ROI, and overall product health. Collaboration & Communication Partner with Product, Engineering, DevOps, and Business teams to embed quality early in the product lifecycle. Clearly communicate QA strategies, risk assessments, and progress updates to executive leadership and cross-functional stakeholders. Act as a quality evangelist across the organization, promoting best practices and shared accountability for quality. Process Optimization Identify inefficiencies and quality bottlenecks across the Software Development Lifecycle (SDLC). Champion continuous improvement initiatives to reduce time-to-market without compromising on quality. Advocate for shift-left testing approaches, integrating QA earlier in development workflows. Qualifications Bachelor s or Master s degree in Computer Science, Engineering, or a related technical field. 15+ years of experience in Quality Assurance, including at least 7+ years in senior leadership roles (e.g., QA Manager, Senior Manager, or Director). Proven track record in building and scaling high-performing QA teams in product-driven environments. In-depth knowledge of testing methodologies (Agile, Waterfall, DevOps) and various testing types (functional, performance, security, usability). Strong experience with test automation tools and frameworks (e.g., Selenium, JMeter, Postman). Hands-on experience with CI/CD pipelines, quality gates, and DevOps practices. Strong analytical, problem-solving, and strategic decision-making abilities. Exceptional interpersonal, verbal, and written communication skills. Ability to thrive in a fast-paced, dynamic, and cross-functional environment. Preferred Qualifications Experience working in Fintech or regulated product-based environments. Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP). This role offers a unique opportunity to shape and lead the quality vision of a cutting-edge organization. If you're passionate about software quality, innovation, and leading teams to excellence, we d love to meet you. Qualification : Bachelors or Masters degree in Computer Science, Engineering, or a related technical field

Position: Technical Lead - DevOps Location: Bangalore Rural, Karnataka, India Department: Data Platform and DevOps Employment Type: Subexian Experience Required: 3 to 6 years Job Overview: We are seeking an experienced Kubernetes Administrator with a strong background in managing containerized environments. The ideal candidate will have 4+ years of hands-on experience in deploying, configuring, and optimizing Kubernetes clusters to drive scalability, reliability, and performance. This is an excellent opportunity to leverage your expertise in Kubernetes orchestration while contributing to the overall success of our platform. Key Responsibilities: Cluster Management: Deploy, configure, and manage Kubernetes clusters both on-premises and across cloud platforms such as AWS, Azure, and GCP. Security & Compliance: Implement best practices for cluster security, including role-based access control (RBAC), network policies, and data encryption at rest and in transit. Automation: Automate cluster provisioning and ongoing management using tools like Terraform, Ansible, or Helm charts, streamlining operations and reducing manual tasks by 40%. Monitoring & Performance: Continuously monitor cluster health and performance metrics using tools like Prometheus, Grafana, ensuring high availability and optimal performance. CI/CD Pipelines: Design and implement CI/CD pipelines for containerized applications using tools such as Jenkins, GitLab CI/CD, and CircleCI to enable smooth continuous delivery. Collaboration: Work closely with development teams to troubleshoot issues, optimize application performance, and ensure compatibility with Kubernetes environments. Security Audits: Conduct regular security audits to identify vulnerabilities and ensure compliance with industry standards. Documentation: Maintain clear and comprehensive documentation for deployment procedures, configuration settings, and troubleshooting guides to enhance knowledge sharing within the team. Infrastructure Management: Administer and maintain Linux/Unix servers and virtualization platforms such as VMware or KVM, ensuring seamless operations across the infrastructure. Backup & Recovery: Implement and manage robust backup and disaster recovery solutions to ensure data integrity and minimize system downtime. Technical Support: Provide expert-level technical support for server and network infrastructure-related issues. Required Skills & Qualifications: Proven experience in Kubernetes deployment, configuration, and administration. Strong command of containerization technologies, including Docker and containerd. Hands-on experience with cloud platforms such as AWS, Azure, and GCP. Proficiency in Infrastructure as Code (IAC) tools like Terraform and Ansible. Familiarity with CI/CD pipelines and automation tools like Jenkins and GitLab CI/CD. Excellent troubleshooting and problem-solving skills. Strong communication and collaboration abilities, with the capability to work effectively across cross-functional teams. If you re passionate about DevOps, Kubernetes, and driving the success of containerized environments, we d love to hear from you!

Backend Software Engineer Location: Bengaluru, India Department: Software Engineering Enterprise Domain Experience: 3+ years About the Role As a Backend Software Engineer at Teleport (AirAsia s logistics tech wing), you ll build secure, scalable backend systems that power large-scale internal and external applications. You ll join a passionate team committed to continuous improvement, learning, and sharing knowledge. We work in a fast-paced agile environment and focus on building reliable, high-performance solutions for a rapidly growing business. What You ll Do Collaborate in an agile Scrum team and actively contribute to all ceremonies Develop features using test-driven development (TDD) principles Manage your code with effective source control strategies for smooth reviews and deployment Prioritize security, scalability, and performance in all your development work Document and share knowledge to help the whole team grow Work cross-functionally with multiple teams to deliver cutting-edge software solutions Advocate for best software engineering practices across the organization Explore and experiment with new technologies that can benefit the team and product Be an enthusiastic and supportive team member within the Teleport technology family Bachelor s degree in Computer Science or related field, or equivalent practical experience 3+ years of professional software engineering experience Strong coding skills in Python and Java Experience with databases like MongoDB and MySQL Comfortable with JavaScript (ES5) Hands-on experience designing and deploying scalable, fault-tolerant, highly available applications Experience with CI/CD pipelines and automation tools (GitLab, GitHub, TeamCity, Jenkins, Maven, Gradle, Nexus) Solid understanding of Git, including branching and merging strategies Familiarity with software release management processes Knowledge of cloud and virtualization platforms such as GCP, AWS, Azure, Docker, VMware/vSphere Experience with container orchestration tools like Docker, Kubernetes, OpenShift (a plus) Familiarity with application monitoring and performance management tools (AppDynamics, Dynatrace, New Relic, Nagios, SolarWinds) Experience with performance testing and load testing tools At AirAsia, we believe that diverse talents make us stronger. We value every individual and offer equal opportunities to grow and thrive. Join us and work in an environment that respects your unique skills and ambitions. Qualification : Bachelors degree in Computer Science or related field, or equivalent practical experience

Position: Senior AI Solutions Engineer Location: Bangalore, India Shift: 2:00 PM 11:00 PM IST (EMEA/US support hours) About Workato Workato is the market leader in enterprise orchestration, enabling 400,000+ global customers to streamline operations by connecting data, apps, and processes. Powered by AI, its platform drives agility through intelligent automation. Recognized by Forbes, Deloitte, and Business Insider, Workato offers a dynamic and collaborative culture that blends innovation with work-life balance. Role Overview As a Senior AI Solutions Engineer, you'll play a key role in building and deploying intelligent, agent-based systems and Retrieval-Augmented Generation (RAG) solutions using Workato s Agentic AI platform. This is a highly technical, hands-on role that blends AI/ML expertise, integration design, customer engagement, and scalable solution delivery. Key Responsibilities AI Engineering & Solution Architecture Design and deploy multi-agent AI workflows that are autonomous, adaptive, and goal-directed. Develop robust RAG pipelines using LLMs and Workato connectors to generate grounded, real-time responses. Implement intelligent memory, prompting, and behavior management strategies for AI agents. Technical Leadership Act as the technical expert for AI-driven architectures using Workato s automation and orchestration platform. Architect scalable AI-powered workflows integrating Workday, NetSuite, Salesforce, ServiceNow, etc. Own performance monitoring, troubleshooting, and continuous optimization of AI systems. Customer Collaboration Work directly with customers to design and deliver tailored Agentic AI and RAG solutions. Communicate complex AI concepts clearly to business and technical stakeholders. Champion exceptional customer service and solution success. Cross-Functional Collaboration Support product managers with technical specifications and solution design. Contribute to internal knowledge bases, best practices, and thought leadership. Participate in product ideation, rapid prototyping, and iterative improvement. Required Qualifications Technical Skills BTech/BE in CS, AI/ML, or related field. 8+ years in solution architecture and development; 3+ years on Workato platform required. Solid foundation in AI agent systems, RAG, and large language models (LLMs). Strong experience with APIs (REST, SOAP), JSON, and relational or NoSQL databases. Programming experience: Java, Python, or Ruby (2 3 years). Hands-on integration experience with middleware, iPaaS, BPM, or RPA platforms. Familiarity with automation tools like Dell Boomi, MuleSoft, or TIBCO is a plus. Bonus Knowledge Familiarity with OAuth, SSO, MFA, and cloud platforms (AWS/GCP/Azure). Experience with enterprise SaaS apps (e.g., Salesforce, Workday, ServiceNow, NetSuite). Exposure to event-driven architecture and microservices. Soft Skills & Mindset Strong communication and storytelling skills. Critical thinker with an entrepreneurial mindset. Self-starter with the ability to work independently and across teams. Passionate about solving complex technical problems and delivering value.

Job Title: DevOps + Tester Location: Bangalore, India Experience: 4 5 years Industry: IT Services Job Type: Full-time Role Overview This hybrid DevOps + QA role focuses on: Ensuring mobile application performance and reliability. Driving automation, CI/CD, and continuous improvement. Designing and executing automated test scripts and performing integration, regression, and performance testing. Supporting innovation and scalable software deployment in alignment with Rakuten s standards. You ll collaborate closely with development, QA, and operations teams, while improving infrastructure and testing frameworks. Key Skills & Tools CI/CD Tools: Jenkins, Bamboo, Docker Testing: Automation, Integration, Regression, Performance Testing Cloud Platforms: AWS, Azure, GCP Salesforce Ecosystem: 1 2 years hands-on experience preferred API Integration: Including legacy systems Test Scripting Tools: Open-source or commercial frameworks Solid grasp of software architecture, high availability, and transaction-intensive systems Responsibilities Monitor and optimize app performance Develop and maintain automated test scripts Execute integration and regression testing Conduct performance tests during pipeline integration Collaborate across DevOps, development, and QA teams Maintain detailed test documentation Conduct unit tests, code reviews, and QA validations Ensure service quality and customer satisfaction Education & Qualifications Bachelor s degree in CS, IT, Engineering, or related field (required) MBA or advanced degree (preferred) Salesforce Admin or PD certification (preferred) Ideal Candidate Traits Strong DevOps + Testing blend with cloud experience Effective communication with technical and non-technical teams Strategic thinker with planning skills Thrives in fast-paced environments, managing multiple priorities Interview Process 2 Technical Rounds Qualification : Bachelors degree in CS, IT, Engineering, or related field (required)

DevOps Engineer Bangalore, India Location: Bangalore (Bengaluru) Experience: 2 to 8 Years Industry: IT Software / Cloud & DevOps Job Summary: We are seeking an experienced DevOps Engineer to design, implement, and manage CI/CD pipelines on AWS and support application deployments. The ideal candidate will have hands-on expertise with AWS services, automation tools, and security integration within DevOps workflows. Key Responsibilities: Design, configure, and maintain CI/CD pipelines using AWS native tools or traditional platforms such as Jenkins, GitHub Actions, etc. Deploy applications on AWS using services like AWS Fargate, EBS, S3, CodePipeline, CodeBuild, and others Onboard applications onto AWS DevOps platform following the required CI/CD workflow Collaborate with application and operations teams to provide remediation and support for CI/CD pipeline onboarding Integrate various test automation frameworks and tools into CI/CD pipelines for continuous testing Implement security scanning and frameworks within pipelines, including SAST, DAST, IAST, and RASP Monitor the DevOps platform, applications, and infrastructure; respond proactively to incidents and events Automate operational tasks using Ansible or scripting languages (e.g., Python, Bash) Develop reusable automation assets and scripts to streamline DevOps processes Required Skills: Proven experience setting up and managing CI/CD pipelines on AWS and other platforms Strong knowledge of AWS services relevant to DevOps: Fargate, EBS, S3, CodePipeline, CodeBuild Familiarity with automation tools like Ansible, scripting languages, and infrastructure-as-code Experience integrating security tools and frameworks within DevOps pipelines Good troubleshooting and monitoring skills with cloud-native tools and third-party platforms Excellent collaboration skills for working across development and operations teams Preferred Qualifications: Bachelor s degree in Computer Science, Engineering, or related field Certifications in AWS DevOps (AWS Certified DevOps Engineer) or similar credentials Experience with container orchestration (e.g., Kubernetes) and Docker Knowledge of Agile and DevSecOps methodologies Work on cutting-edge cloud-native DevOps solutions Collaborate with a dynamic team focused on automation and security Opportunity for professional growth and certification support Qualification : Bachelors degree in Computer Science, Engineering, or related field.

Architect Infrastructure Solutions Location: Bangalore (Bengaluru) Experience: 8 to 12 Years Job Role: Infrastructure Solutions Architect Industry: IT Infrastructure & Cloud Services Job Summary: We are seeking a skilled Infrastructure Solutions Architect to design, document, and lead enterprise infrastructure projects, including virtualization, data center upgrades, migrations, and cloud integration. The ideal candidate will have hands-on experience with infrastructure technologies and the ability to deliver comprehensive design documentation and presentations. Key Responsibilities: Architect, design, and document enterprise infrastructure solutions including VMware virtualization, Nutanix, NetApp, EMC, and Windows Servers Develop high-level and low-level design diagrams, technical documentation, and detailed solution specifications Lead infrastructure upgrade, refresh, migration, and Hyper-Converged Infrastructure (HCI) projects Design and implement solutions for server, storage, backup, data center, high availability, disaster recovery, and business continuity Collaborate closely with cross-functional teams including server, network, architecture, operations, engineering, and project management Define and promote infrastructure best practices and standards Analyze existing infrastructure and recommend improvements for performance, cost efficiency, and scalability Prepare technical presentations and documentation using tools like Microsoft Visio and PowerPoint to communicate solutions, timelines, and costs Connect on-premises infrastructure with cloud technologies to enable hybrid solutions Required Skills & Qualifications: Bachelor s or Master s degree in Information Technology, Computer Science, or related field 8-12 years of experience in infrastructure architecture design, implementation, and support Minimum 5 years of experience as an infrastructure solutions architect in large enterprises Hands-on infrastructure engineering experience (5+ years) including data center design and migrations Strong expertise in virtualization platforms such as VMware and HCI technologies like Nutanix Deep knowledge of storage solutions including NetApp, EMC, and backup technologies like Rubrik and Zerto Experience managing Windows Servers and Active Directory environments Solid understanding of cloud technologies and automation tools Proficiency in creating detailed technical documentation and architecture diagrams Excellent communication, presentation, and problem-solving skills Lead impactful infrastructure transformation projects in a dynamic enterprise environment Collaborate with global teams and advance your skills in cloud and data center technologies Work on cutting-edge infrastructure solutions supporting business continuity and disaster recovery Qualification : Bachelors or Masters degree in Information Technology, Computer Science, or related field

Customer Success Engineer II Technical Support | Cloud & SaaS Location: Bangalore, India Job Type: Full-Time | Customer Success | Cloud Technology | Technical Support About Rubrik s Customer Support & Success Team Rubrik s Global Customer Support and Success Organization is committed to delivering an outstanding post-purchase experience. Our team of seasoned experts ensures smooth deployment, adoption, and continued usage of Rubrik s cloud data management and Zero Trust Data Security solutions. We handle complex technical support cases, guide customers through SaaS product adoption, and provide strategic consultation across a wide range of cloud platforms, data security tools, and enterprise IT ecosystems. Our engineers work closely with cross-functional teams, acting as trusted advisors and primary technical contacts, to maintain high standards of data protection, incident resolution, and customer success. About the Role We are looking for a highly skilled Customer Success Engineer II to join our fast-paced support team. In this role, you will provide enterprise-level technical support for Rubrik s data security solutions via phone, web, chat, and email. You will troubleshoot complex technical issues, support diverse cloud deployments, and deliver excellent service across hybrid infrastructure environments. Key Responsibilities Handle technical support tickets ranging from basic queries to advanced troubleshooting across cloud platforms and virtualized environments. Independently diagnose and resolve customer issues involving snapshots, replication, backup and recovery, data management, and infrastructure. Utilize cloud infrastructure knowledge to provide guidance and recommend best practices (AWS, Azure, GCP). Collaborate with internal teams such as Engineering and Escalations to resolve critical incidents. Deliver high-quality customer communication, ensuring transparency and issue resolution from start to finish. Author and contribute to technical documentation, including knowledge base articles, FAQs, and deployment guides. Continuously improve case resolution processes and provide insights into recurring issues. Analyze and report root causes; work with developers to file bugs and enhance product reliability. Share feedback and insights with product teams to drive platform improvements and enhance customer satisfaction. Support automation, DevOps, and microservices architecture as part of troubleshooting modern enterprise stacks. Required Skills & Experience 3+ years in a technical support, DevOps, or cloud infrastructure role supporting enterprise environments. Strong knowledge of VMware, Linux, Kubernetes, and cloud platforms like AWS, Azure, and Google Cloud Platform (GCP). Hands-on experience with Office 365 APIs, Microsoft SQL databases, scripting languages such as Python or Perl, and automation tools. Deep understanding of SaaS systems, cloud deployment models, and data protection principles. Demonstrated problem-solving skills with a passion for learning and adapting to new technologies. Ability to write clear technical documentation and communicate complex concepts to diverse audiences. Bachelor's degree in Computer Science, Information Technology, or related technical field. Preferred Qualifications Experience in supporting data backup and recovery, storage solutions, or cybersecurity tools. Exposure to Zero Trust Security models, data compliance standards, or incident management workflows. Strong collaboration skills with internal development, QA, and customer success teams. Previous experience contributing to internal knowledge systems or customer-facing documentation. At Rubrik, we are redefining data security and resilience. Our award-winning platform, Rubrik Security Cloud, powered by machine learning, protects enterprise, cloud, and SaaS environments from ransomware, cyber threats, and downtime. You ll work with passionate professionals who are dedicated to helping businesses secure their critical data and recover quickly in times of crisis.

Systems Development Engineer Google Cloud Location: Bengaluru, Karnataka, India Company: Google Minimum Qualifications Bachelor s degree in Computer Science, Information Technology, or a related field; or equivalent practical experience. 2+ years of experience with systems automation. 2+ years of experience in technical infrastructure (e.g., deployment, maintenance, troubleshooting). Preferred Qualifications 3+ years of experience in systems design and implementation. About the Role As a Systems Development Engineer (SDE) at Google Cloud, you will be part of a team responsible for managing and scaling critical services and infrastructure. This role emphasizes automation, reliability, and observability, using engineering practices to eliminate manual toil and improve system efficiency. Google SDEs design and build the tools and systems that power the infrastructure for Google s services, transforming telemetry into actionable insights and proactively solving operational challenges. You ll have the opportunity to work on impactful, large-scale projects in an environment that fosters learning, collaboration, and growth. Key Responsibilities Participate in on-call rotations and incident response, managing services within your domain. Troubleshoot infrastructure and system issues, evaluate diagnostic data, and recommend solutions. Resolve tickets and bugs within defined service-level objectives (SLOs). Collaborate with primary responders to maintain high availability and reliability of systems. Contribute to the design and implementation of systems and services in related domains. Work directly with customers to gather requirements, define distributed system needs, and propose solutions. Develop automation tools and systems to improve efficiency and reduce operational overhead. About Google Cloud Google Cloud helps organizations transform their business with advanced technologies and enterprise-grade solutions. With a focus on sustainability, innovation, and scalability, Google Cloud serves customers in over 200 countries and territories, providing the tools and infrastructure necessary to solve the world s most complex business challenges. Qualification : Bachelor's degree in Computer Science or IT-related field, or equivalent practical experience.

Lead Cloud Engineer HPC (High Performance Computing) Location: Bengaluru, India Company: Chevron Experience Level: 5 10 Years Department: IT Cloud Engineering Work Mode: Hybrid (Global Operations Support) About the Role Chevron is seeking a Lead Cloud Engineer HPC to deliver next-generation High Performance Computing (HPC) infrastructure and application solutions. This position plays a key role in supporting compute-intensive workloads such as geophysics, reservoir simulations, AI/ML models, and parallel file systems, with a focus on cloud-native solutions and low-latency architectures. This role is ideal for someone experienced in cloud engineering, Linux system administration, and HPC architecture. Key Responsibilities Design, deploy, and support HPC environments for compute-intensive workloads. Configure and manage HPC job scheduling systems (e.g., Slurm, PBS). Implement and maintain parallel file systems such as Lustre. Manage Azure-based cloud infrastructure using VM Scale Sets. Collaborate with data scientists and developers to optimize infrastructure. Leverage Ansible, Satellite, and Python for automation. Optimize low-latency networks for distributed computing. Modernize HPC architecture with an eye on cost control and performance. Required Qualifications Bachelor s degree in Computer Science, Information Systems, or related field. 5 10 years of experience in: Linux system administration in a large-scale environment Microsoft Azure, including VM Scale Sets HPC job schedulers Slurm, PBS Parallel file systems Lustre Automation tools Ansible, Satellite, Python Supporting compute-heavy scientific/engineering applications Understanding of storage systems, networking, and performance tuning in HPC. Willingness to support global operations and participate in after-hours support. Preferred Skills Experience deploying HPC workloads in hybrid cloud environments. Familiarity with reservoir simulation or geophysical applications. Knowledge of security compliance and cost optimization in HPC/cloud. Working Hours Chevron supports global operations. Work hours may be aligned across international teams: Standard Work Days: Monday to Friday Shift Options: 8:00 AM 5:00 PM or 1:30 PM 10:30 PM IST Benefits & Perks Competitive compensation package Health, life, and accident insurance Flexible work schedule and hybrid options Professional development and certification support Work on cutting-edge HPC and AI infrastructure Equal Opportunity Employer Chevron is committed to a diverse and inclusive workforce. All qualified applicants will receive consideration without regard to race, gender, religion, sexual orientation, nationality, age, or disability. Chevron participates in E-Verify in applicable regions. Apply Now If you re passionate about building scalable HPC infrastructure in the cloud, apply now to join Chevron s Cloud Engineering team in Bengaluru. Qualification : Bachelors degree in Computer Science, Information Systems, or related field.

Job Title: Lead Cloud Development Engineer Location: Bengaluru, Karnataka, India Team Overview: Join Cloud Software Group (CSG) as a Lead Cloud Development Engineer in our DaaS (Desktop as a Service) team. You will play a pivotal role in developing and maintaining our Gateway Service, a core component of our DaaS infrastructure. In this role, you ll work with cutting-edge cloud technologies to create a seamless, secure, and high-performance experience for our customers. If you re passionate about cloud technologies and want to make an impact in a fast-growing company, this is the perfect opportunity for you. Job Description: As a Lead Cloud Development Engineer, you will be responsible for leading the design, development, and maintenance of a highly scalable and reliable Gateway Service. You will also focus on ensuring the service meets high standards for performance, security, and availability. Your responsibilities will include collaborating with cross-functional teams, troubleshooting issues, and contributing to the overall evolution of our cloud infrastructure. Key Responsibilities: Design & Development: Lead the design and development of scalable, high-performing Gateway Service, focusing on optimizing performance, security, and availability. Architecture Evolution: Contribute to the architecture of the Gateway Service, evaluating and integrating new technologies and patterns to meet increasing demands. Collaboration: Work closely with architects, leads, and engineers, both within and outside the team, to implement new features and enhancements. Code Reviews & Best Practices: Participate in code reviews, ensuring the implementation of high-quality code and adherence to software development best practices. Quality Assurance: Collaborate with QA engineers to ensure comprehensive testing and validation of new releases. Production Support: Lead troubleshooting efforts for production issues, outages, and customer escalations, working with the support and operations teams to minimize customer impact. Emerging Technologies: Stay current with industry trends and emerging technologies, particularly in cloud computing and microservices. Agile Development: Engage in agile development processes, including sprint planning, daily stand-ups, and retrospectives. Qualifications: Education: B.E/B.Tech or M.Tech in Computer Science or a related field. Experience: At least 8 years of software development experience, with a proven track record of designing, developing, and deploying software/services using C/C++ or Golang. Technical Skills: Strong understanding of networking protocols and security best practices. Solid foundation in Data Structures and Algorithms. Good understanding of cloud platforms such as AWS, Azure, or GCP. Experience with CI/CD pipelines and automation tools. Familiarity with containerization technologies like Docker and Kubernetes. Soft Skills: Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams. About Us: Cloud Software Group is one of the world s largest cloud solution providers, serving over 100 million users worldwide. By joining us, you are helping real people leverage cloud-based solutions to get their work done from anywhere. At CSG, we foster a culture where passion for technology, courage to take risks, and continuous learning thrive. This is an exciting time to be part of the company as we evolve and innovate, making a real difference in how people work. Qualification : B.E/B.Tech or M.Tech in Computer Science or a related field.

Job Description: Site Reliability Engineer - OCI Cloud Engineering Team Role: Site Reliability Engineer (SRE) Team: OCI OLTP (Online Transaction Processing) Location: Kiev Career Level: IC2 Experience: 5+ years Overview: Oracle Cloud Infrastructure s (OCI) OLTP organization is seeking a Site Reliability Engineer (SRE) to join our dynamic and fast-paced Cloud engineering team. The team is responsible for mission-critical distributed systems and cloud services, and we are looking for an engineer who is deeply interested in databases, distributed systems, and cloud services. If you thrive in an environment where innovation, problem-solving, and operational excellence intersect, this is an exciting opportunity for you! As a member of the SRE services, you will focus on Cloud Services, building deployments, operations, security vulnerability mitigation, and automation. You will be instrumental in fostering a culture of Site Reliability Engineering (SRE) within the team, and your work will directly contribute to ensuring the stability, performance, and reliability of Oracle s global cloud service infrastructure. This role requires someone who is adaptable, highly motivated, and capable of managing large-scale cloud environments with a focus on continuous improvement. Key Responsibilities: Cloud Service Operations & Reliability: Deploy, operate, and maintain large-scale cloud service products in a highly available, fault-tolerant, and scalable environment. Collaborate with internal teams to identify and mitigate cross-team issues that pose operational risks to cloud services. Focus on systems reliability and ensure the continuous availability of cloud services by automating tasks and eliminating manual interventions. Automation & Improvements: Automate operational tasks and improve service deployments, focusing on scaling, performance, and uptime. Contribute to CI/CD systems, ensuring seamless integration and continuous delivery for cloud-based services. Leverage automation tools such as Terraform, Grafana, and Bitbucket to streamline operations. Security & Incident Response: Mitigate security vulnerabilities within cloud services and ensure compliance with Oracle's security standards. Participate in on-call rotations to provide immediate troubleshooting support and ensure rapid issue resolution. Perform deep analysis of service performance and collaborate with team members to diagnose and resolve issues that affect service availability or performance. Collaborative Problem-Solving: Work closely with cross-functional teams, including development, database, networking, and storage experts, to ensure the reliability and performance of services. Identify systemic issues and potential risks, develop solutions, and ensure proper documentation and communication with stakeholders. Documentation & Knowledge Sharing: Contribute to documentation such as runbooks, operational guides, and troubleshooting manuals. Mentor junior engineers and share knowledge on best practices for site reliability engineering and cloud service operations. Continuous Learning: Stay up to date with new cloud technologies, trends, and best practices, and actively implement them in your day-to-day work. Technical and Professional Requirements: Cloud Services & Infrastructure: 5+ years of experience in SRE, DevOps, or Automation roles with a focus on large-scale infrastructure and cloud services. Hands-on experience with cloud platforms (e.g., OCI, AWS, Azure) and expertise in compute, database, networking, and storage services within cloud environments. Automation & Tooling: Proficiency with automation tools such as Terraform, Grafana, LumberJack, and Shepherd. Solid experience in using CI/CD tools and processes for cloud service deployments and operations. Scripting & Systems: Strong knowledge of scripting languages, particularly Python and Java. Familiarity with Linux systems, docker containers, virtualized infrastructure, and orchestration (e.g., Kubernetes). Performance & Troubleshooting: Excellent troubleshooting skills with a focus on performance, availability, reliability, and scalability of distributed systems. Experience in operating fault-tolerant, highly available, high-throughput distributed systems. Security & Incident Management: Familiarity with security practices and mitigating security vulnerabilities in cloud services. Proven ability to handle incident response and provide efficient troubleshooting during on-call rotations. Collaboration & Communication: Strong verbal and written communication skills, capable of working effectively with diverse teams across multiple geographies. Ability to work in a highly collaborative environment, driving operational excellence and customer satisfaction. Preferred Qualifications: Experience in operating and maintaining multi-tenant, cloud-based infrastructure with a focus on scalability and high availability. Familiarity with tools and platforms like Grafana, Prometheus, and other observability and monitoring tools. Experience in networking and storage technologies in a cloud environment. Joining OCI s OLTP team as an SRE gives you the opportunity to work with cutting-edge technologies and contribute to the operational excellence of Oracle s global cloud infrastructure. This is a chance to grow your skills in a highly dynamic environment and to solve complex problems that directly impact mission-critical cloud services. With a focus on automation, scalability, and high performance, you will be an essential part of a team that powers Oracle s leading cloud services. If you are an experienced engineer passionate about cloud technologies, automation, and ensuring the reliability of large-scale systems, we encourage you to apply and join us in this exciting journey!

Staff Automation Engineer Company Arm Job Overview As a Staff Automation Engineer, you will play a pivotal role in designing and implementing cutting-edge IT automation solutions that enhance Arm s infrastructure and development processes. You will leverage your expertise in automation technologies to streamline provisioning, configuration management, image management, secret management, and CI/CD pipelines. This is a critical role to ensure our systems remain efficient, scalable, and secure. Responsibilities Develop and implement automated solutions for infrastructure provisioning and configuration management using tools like Terraform, CloudFormation, Ansible, Puppet, and Chef. Design, configure, and maintain scalable CI/CD pipelines using platforms such as GitLab CI, GitHub Actions, Cloudbees/Jenkins, AWS CodePipeline, or Azure DevOps. Collaborate with DevOps and Engineering teams to improve and optimize engineering workflows, enhancing both efficiency and time-to-market. Standardize and automate configuration processes to ensure consistency and compliance across all environments. Troubleshoot and resolve configuration-related issues, ensuring systems are always up-to-date, secure, and cost-efficient. Required Skills and Experience Proven success in automation engineering or a similar role. Solid understanding of DevOps practices and extensive experience in infrastructure-as-code (IaC). High proficiency with automation tools and technologies, including Terraform, Ansible, Docker, Kubernetes, Jenkins, and Vault. Strong understanding of both on-premise and cloud platforms (AWS, Azure, GCP), including cloud-native architectures. Excellent communication, collaboration, and problem-solving skills with the ability to thrive in a team-oriented environment. Nice-To-Have Skills and Experience Relevant certifications, such as AWS Certified DevOps Engineer or Certified Kubernetes Administrator, are a plus. What Arm Offers We offer exciting, meaningful work within a diverse team. Arm s continued growth ensures ample career progression opportunities, allowing you to make a real impact on our global success. #LI-KR2

Job Title: Software Engineering Manager Couchbase Capella Location: Bangalore, India (Office-based role, 3 days a week in the office) About Couchbase: As industries race to embrace AI, traditional database solutions fall short of the increasing demands for versatility, performance, and affordability. Couchbase is leading the way with Capella, the developer data platform for critical applications in today s AI-driven world. By seamlessly uniting transactional, analytical, mobile, and AI workloads into a fully managed solution, Couchbase empowers developers and enterprises to build and scale applications with unmatched flexibility, performance, and cost-efficiency from cloud to edge. Trusted by over 30% of the Fortune 100, Couchbase is driving innovation, accelerating AI transformation, and redefining customer experiences. Join us on our mission! Job Overview: We are seeking an experienced Engineering Manager to lead a team of software developers building the next generation of cutting-edge Database as a Service (DBaaS) on the public cloud. In this role, you will be responsible for leading the team to deliver high-quality projects on time while ensuring that the operations of our service in production meet targeted Service Level Objectives (SLOs). The ideal candidate will possess a strong technical background, experience managing engineering teams, and excellent leadership and communication skills. Responsibilities: Lead and manage a team of software developers, providing guidance, mentorship, and performance feedback. Ensure the timely delivery of projects that meet business objectives, quality standards, and supportability goals. Oversee production systems to ensure they meet availability, performance targets, and Service Level Agreements (SLAs). Work cross-functionally with product management, QA, and other teams to develop staffing plans, release roadmaps, and ensure successful project delivery. Foster a collaborative and high-performance team culture that emphasizes continuous improvement and innovation. Contribute to technical design, architecture, and code reviews while maintaining a hands-on approach as needed. Requirements: Education: Bachelor s or Master s degree in Computer Science or a related field, or equivalent practical experience. Experience: At least 3 years of experience as an Engineering Manager and 8+ years of experience as a Software Engineer. Proven track record of successfully managing software development projects on public cloud platforms. Strong experience with at least one of the major cloud platforms (AWS, GCP, or Azure). Experience with Golang is highly preferred, particularly in managing large projects written in Golang. Strong communication and leadership skills, with the ability to collaborate effectively with cross-functional teams. Couchbase is at the forefront of revolutionizing modern application development with Capella, our fast, flexible, and affordable cloud database platform. By offering best-in-class price performance, we enable organizations to build and scale applications that deliver exceptional customer experiences from cloud to edge. Over 30% of the Fortune 100 companies trust Couchbase to power their modern applications, and we are honored to be named among the Best Places to Work in the Bay Area and the UK. Some of the benefits of working at Couchbase include: Generous Time Off Program: Flexibility to care for yourself and your family. Wellness Benefits: World-class medical plans, dental, vision, life insurance, and employee assistance programs. Financial Planning: RSU equity program, ESPP program, retirement programs, and business travel insurance. Career Growth: Be valued, create value we support your career development. Fun Perks: Ergonomic office setup, food and snacks for in-office employees, and much more. Qualification : Bachelors or Masters degree in Computer Science or a related field, or equivalent practical experience.

Job Title: Linux Automation Engineer Experience: 4-8 Years Location: Bangalore Role Overview: As a Linux Automation Engineer, you will be responsible for implementing and automating infrastructure solutions that support IBM Cloud products and infrastructure. You will play a key role in building automation frameworks, managing CI/CD pipelines, ensuring security compliance, and providing technical escalation support. This role requires expertise in Linux, automation tools, cloud infrastructure, and DevOps best practices. Key Responsibilities: Infrastructure Automation & Implementation: Design, implement, and automate Linux-based infrastructure solutions for IBM Cloud. Develop automation scripts and tools to enhance system efficiency and reliability. Automate system provisioning, configuration management, and deployments. CI/CD & Test Automation: Build and manage test automation frameworks and CI/CD pipelines. Maintain and administer automated systems and DevOps tools for development and test teams. Security & Compliance: Ensure the security integrity and compliance of the infrastructure environment. Implement best practices for access control, monitoring, and auditing. Monitoring & Alerting: Develop and integrate alerting and monitoring solutions for mission-critical services. Partner with cross-functional teams to enhance system observability and reliability. Technical Support & Troubleshooting: Provide technical escalation support for Infrastructure Operations teams. Troubleshoot and resolve complex Linux, automation, and cloud infrastructure issues. Required Skills & Competencies: Strong expertise in Linux system administration and automation. Experience with infrastructure automation tools such as Ansible, Terraform, or Puppet. Hands-on experience with CI/CD tools like Jenkins, GitLab CI, or Azure DevOps. Proficiency in scripting languages (Bash, Python, or Shell scripting). Familiarity with cloud platforms (IBM Cloud, AWS, Azure, or GCP). Strong understanding of networking, security, and compliance best practices. Experience in monitoring and alerting tools like Prometheus, Grafana, or ELK Stack. Ability to work in a fast-paced, collaborative DevOps environment. Capgemini Engineering is a world leader in engineering services, empowering the most innovative companies globally. We offer: A dynamic and diverse work environment with cutting-edge technologies. Opportunities to work on industry-leading projects in cloud, automation, and DevOps. A culture of innovation, collaboration, and professional growth. Join us and be a part of a team that is shaping the future of digital transformation!

Description bout the organization: Einstein products & platform democratize AI and transform the way Salesforce builds trusted machine learning and AI products - in days instead of months. It augments the Salesforce Platform with the ability to easily create, deploy, and manage Generative AI and Predictive AI applications across all clouds. We achieve this vision by providing unified, configuration-driven, and fully orchestrated machine learning APIs, customer-facing declarative interfaces and various microservices for the entire machine learning lifecycle including Data, Training, Predictions/scoring, Orchestration, Model Management, Model Storage, Experimentation etc. We are already producing over a billion predictions per day, Training 1000s of models per day along with 10s of different Large Language models, serving thousands of customers. We are enabling customers' usage of leading large language models (LLMs), both internally and externally developed, so they can leverage it in their Salesforce use cases. Along with the power of Data Cloud, this platform provides customers an unparalleled advantage for quickly integrating AI in their applications and processes. About the team: Join the AI Cloud Quality Engineering team, and become a specialist on Salesforce's AI Platform and applications! You will be leading the Quality Engineering team as we build the best in class the AI capabilities at Salesforce. You'll get to work with latest technology in the AI space (including generative AI), and collaborate with the team and cloud to identify and run quality initiatives to support massive scale planned both in the short term and long term. We are a friendly team that has been working together for years - outside of quality, we focus on volunteering and other shared interests. Job description summary: Salesforce is seeking a highly experienced and dynamic Director of Software Engineering with a strong focus on Quality Assurance to lead our QA team within the AI Cloud division. The ideal candidate will possess extensive expertise in cross-functional team collaboration, effective negotiation skills, and a solid background in test automation. This role requires strategic planning capabilities, exceptional people management skills, and the ability to manage expectations with various stakeholders while setting out a clear roadmap for the team. You ll have the opportunity to enhance our test frameworks, work on test environment stability, and develop automation strategies for both platform and applications, including Copilots, Einstein for Service, and others. Key Responsibilities: Team Leadership and People Management: Lead, mentor, and develop a high-performing QA team within the AI Cloud division. Foster a collaborative, inclusive, and innovative team environment. Conduct regular performance reviews, provide constructive feedback, and facilitate professional growth for team members. Cross-Functional Collaboration: Partner closely with development, product management, and other departments to ensure the integration of robust QA processes within AI Cloud initiatives. Facilitate effective communication and collaboration across teams to identify and resolve quality issues promptly. Test Automation Management: Oversee the development, implementation, and maintenance of test automation frameworks and tools tailored for AI Cloud products. Ensure comprehensive test coverage and optimize testing processes for efficiency and effectiveness. Stay updated with the latest trends, technologies, and best practices in test automation and AI testing methodologies. Stakeholder Management: Manage expectations and communicate effectively with various stakeholders including senior leadership, product owners, and customers. Provide regular updates on QA activities, progress, and challenges, ensuring transparency and alignment with AI Cloud business objectives. Negotiate and prioritize testing efforts to align with business goals and AI product release timelines. Strategic Planning and Roadmap Development: Develop and implement a strategic QA roadmap that aligns with Salesforce AI Cloud s business objectives and product development goals. Set clear goals, milestones, and timelines for QA initiatives and projects. Continuously evaluate and enhance QA processes, methodologies, and practices to drive improvements in product quality and team efficiency. Quality Assurance and Continuous Improvement: Establish, enforce, and uphold quality standards, guidelines, and best practices across the QA team. Monitor and analyze QA metrics to identify areas for improvement and drive data-driven decision-making. Lead continuous improvement initiatives to enhance product quality, reduce defects, and improve team performance. Qualifications: Bachelor s degree in Computer Science, Engineering, or a related field; advanced degree preferred. At least 14 years of experience in a similar senior QA management role within a fast-paced, agile software development environment. Strong expertise in test automation tools and frameworks (e.g., Selenium, JUnit, TestNG). Excellent leadership and people management skills with a track record of building and leading high-performing teams. Exceptional communication and negotiation skills, with the ability to manage expectations and influence stakeholders at all levels. Strong analytical and problem-solving abilities, with a focus on data-driven decision-making. Experience in managing cross-functional teams and collaborating with various stakeholders to achieve common goals. Ability to develop and implement strategic plans and roadmaps. Familiarity with CI/CD pipelines and DevOps practices is a plus. Experience with AI technologies, large language models (LLMs), and tools like AWS SageMaker is preferred but not mandatory. Knowledge of Salesforce products and platforms is a significant advantage. Salesforce is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive...

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.