System Performance Monitoring Jobs in Bengaluru

ERP Engineer Location: Bengaluru Department: Hardware Employment Type: Full-Time About Dozee Dozee Health AI is a pioneer in AI-powered, contactless Remote Patient Monitoring (RPM) and Early Warning Systems (EWS), driving transformation in healthcare at scale. Headquartered in Bengaluru, Dozee has quickly emerged as India s #1 RPM company. Trusted by leading healthcare providers across India, the USA, and Africa, Dozee s innovative solutions enhance patient safety, improve outcomes, and reduce costs. We aim to Save a Million Lives with Health AI. Role Overview We are looking for an ERP Engineer to manage and optimize Microsoft Dynamics ERP modules, ensuring seamless performance and data integrity across our systems. You will work alongside technical and business teams to implement customizations and integrations that enhance our operational efficiency and scalability. Key Responsibilities ERP Management & Customization Manage and maintain Microsoft Dynamics ERP modules to ensure system stability and optimal performance. Develop and deploy customizations, workflows, and process automations that align with business needs. Integrate ERP with internal systems (CRM, HRMS, Finance) and third-party applications using APIs and data connectors. Collaboration & Implementation Collaborate with cross-functional teams to analyze business requirements and design ERP solutions. Conduct testing, document new features, and support system enhancements. Provide troubleshooting and technical support to ensure minimal system downtime. Training & Optimization Lead end-user training and create user manuals for smooth ERP adoption. Monitor system performance, suggest improvements, and optimize ERP configurations. Work with stakeholders to enhance ERP processes in finance, procurement, inventory, and production. Requirements Experience & Qualifications 3 5 years of hands-on experience with ERP management, customization, and integration. Specific experience with Microsoft Dynamics 365 Business Central / Dynamics NAV is preferred. Bachelor s or Master s degree in a relevant field. Skills Strong understanding of ERP architecture, data structures, and business workflows. Experience with integration tools and middleware such as Azure Integration Services or Power Automate. Familiarity with project management tools like JIRA, Confluence, or Asana. Personal Attributes Strong analytical and problem-solving abilities with high attention to detail. Excellent communication skills and the ability to collaborate with multiple stakeholders. Why Join Dozee Be part of a mission-driven company transforming healthcare with AI. Work with top healthcare providers and cutting-edge technology. Opportunity to drive impactful change in a high-growth, fast-paced environment. Qualification : Bachelors or Masters degree in a relevant field

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.

Gen AI Support Engineer-2 Location: Bengaluru Experience: 4 7+ years Employment Type: Full-time About Us Exotel is the leading full-stack customer engagement platform and virtual telecom operator for emerging markets. Since its inception in 2011, Exotel has been powering 50 million daily engagements across voice, video, and messaging channels. We provide our unified customer engagement solutions to over 6000 companies globally, including industry leaders like Ola, Swiggy, Flipkart, GoJek, Byjus, Urban Company, HDFC Bank, Zomato, and Oyo. With $100 million in Series D funding and an ARR of $60 million, Exotel is a growth-stage company poised for massive impact. Overview We're seeking a Gen AI Support Engineer-2 to join our team. As an L2 Support Engineer, you will be the highest level of technical escalation within the support organization. Your role will encompass system reliability, platform integrity, troubleshooting mission-critical production issues, and collaborating with engineering teams for architecture feedback. Additionally, you'll help mentor junior engineers and improve operational processes and tools for large-scale environments. If you're passionate about writing clean code with Python and Django and want to contribute to a fast-paced, mission-driven company, this role is for you! Responsibilities Mission-Critical Issue Resolution: Own the resolution of high-priority, time-sensitive production issues. Root Cause Analysis (RCA): Lead RCA reviews and push for systemic improvements in system architecture and processes. Performance Optimization: Identify bottlenecks and propose architectural changes to improve system performance and scalability. Patch Management: Assist in configuring, deploying, and testing patches, releases, and application updates to production environments. SME for Production Systems: Serve as the Subject Matter Expert (SME) for Exotel's production systems and integrations. Cross-Team Collaboration: Work with Delivery, Product, and Engineering teams to influence system design, rollout strategies, and improvement plans. Mentorship: Lead and mentor L1/L2 engineers on troubleshooting best practices and continuous learning. Code Writing & Automation: Write clean, maintainable code for internal tools, scripts, and automation using Python and Django. Support Tooling: Automate recovery workflows and design support tools for proactive monitoring. Operational Excellence: Establish and improve SLAs, monitoring dashboards, alerting systems, and operational runbooks to ensure system reliability. Must Have Skills Backend Development Support: 3+ years of experience in backend development support, production support, or DevOps/SRE roles. Core Technologies: Proficiency in Python, Django, SQL, and troubleshooting in Linux. Web Technologies: Strong understanding of HTML, CSS, JavaScript, and other web technologies. Distributed Systems & Cloud: Experience working with distributed systems, cloud architecture (AWS), Docker, and Kubernetes. Automation: Strong scripting skills with Bash/Python for automation and operational support. CI/CD & Observability: Good understanding of CI/CD, observability tools, and release management workflows. Communication Skills: Excellent communication, leadership, and incident command skills for managing production issues and cross-functional collaboration. Nice to Have Experience with AI-powered systems and machine learning technologies. Familiarity with monitoring systems like Prometheus, Grafana, or Elasticsearch. Knowledge of microservices architectures and scaling distributed systems. Innovative Work: Be at the forefront of cloud-based communications technology and AI-driven customer engagement platforms. Impact: Play a key role in maintaining and optimizing systems that power millions of customer interactions daily. Growth Opportunities: Be part of a fast-growing company with ample learning opportunities and career development. Collaborative Environment: Work in a supportive, inclusive environment where your input and ideas matter. Competitive Benefits: Comprehensive benefits package including health insurance, mental wellness support, and more.

Job Title: Lead Associate Software Engineering (COBOL) Location: Bengaluru Employment Type: Full-Time Level: Senior Engineer About BetaNXT BetaNXT is building the future of connected wealth management infrastructure, combining real-time data capabilities with deep industry expertise to elevate the advisor and investor experience. Through the power of our trusted platforms Beta, Maxit, and Mediant we are modernizing legacy systems and solving the most complex integration challenges in wealth management. Our mission: streamline operations, enhance productivity, and unlock enterprise scalability for financial institutions. About the Role We are looking for a Lead Associate Software Engineering with strong experience in MicroFocus and Veryant COBOL to join our product engineering team. In this hands-on leadership role, you ll design, build, and modernize high-performance systems that support critical financial workflows in both client/server and cloud environments. This is an excellent opportunity for someone who thrives in legacy modernization, enjoys solving complex integration problems, and is passionate about writing clean, secure, and scalable code. Key Responsibilities Design and develop new features for enterprise systems using MicroFocus/Veryant COBOL. Refactor and modernize legacy code for scalability, performance, and maintainability. Architect solutions for new and existing applications in client/server and cloud-hosted environments. Perform code reviews, ensure secure coding practices, and guide team members on design and implementation. Collaborate with cross-functional Agile teams (Product, QA, DevOps) to deliver end-to-end technical solutions. Write clean, modular, and well-documented code; enforce coding standards across the team. Translate user requirements into effective software design. Ensure high code quality and application performance through best practices and testing. Monitor production systems, support deployments, and troubleshoot full-stack issues. Document system architecture, APIs, and technical specifications. Required Qualifications Bachelor s or Master s degree in Computer Science, Software Engineering, or related field. 3 5 years of hands-on experience in software development, with recent focus on COBOL-based systems. Experience with MicroFocus/Veryant COBOL and ISAM file systems. Hands-on knowledge of GitLab for source control, CI/CD pipelines, and version management. Proven experience leading Agile development teams and mentoring junior engineers. Solid understanding of the software development life cycle (SDLC) and Agile methodologies. Strong problem-solving skills and the ability to work independently as well as in a team environment. Demonstrated success in delivering complex projects from design through deployment. Preferred Qualifications Experience with: XML, VS Code IDE PowerShell or other scripting languages Exposure to application performance tuning, monitoring tools, and system health diagnostics. Knowledge of financial services or experience working with mission-critical enterprise platforms. Personal Attributes Self-starter with a growth mindset and eagerness to learn new technologies. Comfortable working across legacy systems and modern cloud-based solutions. Strong attention to detail and commitment to quality. Thrives in fast-paced, collaborative environments. Passion for solving large-scale technical challenges. Be part of an organization modernizing wealth management infrastructure at scale. Work on mission-critical systems used by top-tier financial institutions. Collaborate with a high-performing, globally distributed engineering team. Grow your career in an environment that values innovation, autonomy, and continuous learning. Qualification : Bachelors or Masters degree in Computer Science, Software Engineering, or related field

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

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.

Manager Adobe AEM Engineering Location: Bengaluru, India Department: Experience Engineering | Adobe AEM Type: Full-Time About the Role As a Manager Adobe AEM, you will lead the delivery of end-to-end digital experience platforms for global clients using Adobe Experience Manager and other Adobe Experience Cloud solutions. You will architect, implement, and optimize scalable enterprise content management solutions, while mentoring technical teams and working directly with clients to understand and translate business requirements into robust, scalable systems. Key Responsibilities Lead design, architecture, and implementation of large-scale AEM projects (Sites, Assets, AEM as a Cloud Service). Architect AEM components, templates, workflows, tagging, publishing, and metadata models. Define and implement cloud-native, SEO-optimized, accessible, secure, and performant digital platforms. Oversee quality processes, including CI/CD (e.g., Jenkins, Bamboo, Cloud Manager), code reviews, SonarQube, and automated testing. Manage infrastructure setup and configurations: Load Balancers, Apache, CDN, DR, and AEM environments. Collaborate across cross-functional teams including frontend (React, Angular, HTL), backend (Java), QA, and DevOps. Support content migration, integrations with eCommerce platforms (Hybris, Magento), and Digital Asset Management systems. Ensure adoption of best practices in performance, scalability, monitoring, and responsive design. Interface directly with clients for technical consulting, requirement gathering, and delivery oversight. Lead and mentor development teams (20+ members) across all project phases in Agile/Scrum environments. Required Skills & Experience 10+ years of experience in software engineering with at least 5+ in AEM development. Deep expertise in AEM architecture (including SaaS/Cloud Service, SDK), deployment (Maven), and migration planning. Proficient in Java 8/11, JCR, OSGi, Sling Models, HTL, JSP, and server-side integrations. Strong understanding of frontend development (ReactJS, Angular, Bootstrap, HTML5, CSS3, JS frameworks). Familiarity with Adobe I/O Runtime, Adobe Events, and cloud platforms (AWS, Azure, GCP). Experience with Adobe Experience Cloud tools: Target, Analytics, Campaign, Launch, Scene7. Proven success in leading full-stack delivery teams including frontend, backend, QA, and PM. Knowledge of SEO, accessibility (WCAG A, AA, AAA), performance monitoring (New Relic, AppDynamics), and analytics integration. Hands-on with monitoring and observability tools: Squid, Nagios, Zabbix, Ganglia, etc. Exposure to Agile methodologies and estimation/planning across digital project lifecycles. Bonus / Preferred Qualifications Experience integrating AEM with eCommerce (Magento, Hybris, ElasticPath). Working knowledge of microservices, containerization, and RESTful services. Adobe certifications (e.g., Adobe Certified Expert AEM Developer/Architect). Familiarity with Adobe I/O integrations and Adobe Dynamic Media. Benefits Gender-Neutral Policy 18 Paid Holidays per year Parental Leave and New Parent Transition Program Flexible Work Arrangements Employee Wellness Programs About Publicis Sapient Publicis Sapient is a premier digital transformation partner helping global enterprises redefine their future with technology. With over 20,000 professionals across 53 offices worldwide, we deliver bold digital solutions across strategy, customer experience, data, and engineering.

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: Senior Full Stack Engineer Location: Bengaluru, India Employment Type: Full-time Department: Engineering About Commure At Commure, we empower healthcare providers by reducing administrative burdens and enabling more time for patient care. Our suite of software and hardware solutions including AI-powered assistants, RTLS, and workflow automation are used by over 250,000 clinicians across hundreds of care sites. From clinical documentation and staff safety to patient engagement and remote monitoring, we're transforming healthcare through technology. With the industry entering a pivotal phase of AI-driven transformation, Commure is leading the charge. About the Role As a Senior Full Stack Engineer on our Patient Experience Platform team, you'll design and build intuitive, secure, and scalable web applications that enhance patient engagement and streamline healthcare workflows. This is a high-impact role contributing to mission-critical projects with real-world outcomes. Key Responsibilities Design and develop full-stack applications that connect patients and healthcare providers. Lead architectural decisions to scale and evolve the platform. Work closely with product, design, QA, and DevOps teams to gather requirements, define solutions, and deliver features. Optimize system performance, reliability, and observability using logging, monitoring, and tracing tools. Maintain cloud infrastructure using Infrastructure-as-Code (IaC) for reproducibility and reliability. Enhance alerting systems to reduce noise and improve incident response. Develop secure authentication and authorization systems that comply with industry standards. Build and maintain CI/CD pipelines, supporting a robust and compliant deployment process. Participate in on-call rotations and production support. Document processes, configurations, and troubleshooting steps for internal knowledge sharing. Promote a culture of engineering excellence through code reviews, best practices, and mentorship. Qualifications Required Bachelor s or Master s degree in Computer Science, Engineering, or a related field. 3+ years of experience in full-stack software development. Proficiency in: Front-end: TypeScript, React, Next.js Back-end: Python and Node.js Cloud Platforms: AWS, GCP, or Azure CI/CD: GitHub Actions, Google Cloud Build Version Control: Git Containerization: Docker and Kubernetes Monitoring/Logging: Cloud-native tools and observability practices Experience with production incident support and on-call rotations. Strong communication, collaboration, and leadership skills. Preferred Familiarity with serverless architectures and microservices. Knowledge of healthcare data standards like HL7, FHIR, and HIPAA compliance. Experience optimizing performance for large-scale distributed systems. Why Join Commure + Athelas Mission-Driven Impact: Transforming healthcare, the largest sector in the country. Top-Tier Investors: Backed by General Catalyst, Sequoia, Y Combinator, Lux, and more. Exceptional Growth: Combined organizations growing 500% YoY, with Series D funding and strong runway. Comprehensive Benefits: Competitive compensation, flexible PTO, medical/dental/vision insurance, parental leave (location-dependent). Join us and help power the future of patient care. Qualification : Bachelors or Masters degree in Computer Science, Engineering, or a related field.

Role: Senior Analyst Machine Learning Performance & Testing Location: Bengaluru, Karnataka, India Experience: 3 5 Years Employment Type: Permanent, Full-Time About the Role We are seeking a skilled and detail-oriented Senior Analyst with strong experience in ML model performance testing, load testing, and end-to-end (E2E) automation. This role is focused on ensuring scalable, low-latency deployment of production-grade machine learning models. The ideal candidate will be proficient in evaluating model performance under varied workloads, building robust test frameworks, and enhancing system monitoring. Key Responsibilities Conduct load testing and performance benchmarking for machine learning models under varying requests per second (RPS) scenarios. Develop and automate end-to-end test cases to validate model readiness and support smooth rollouts. Monitor and improve model scalability, response time, and error rates across production environments. Collaborate with ML engineers, backend developers, and QA test teams to ensure seamless integration and testing workflows. Identify and address bottlenecks in model inference, helping improve performance for high-volume, low-latency applications. Set up alerting and observability pipelines for model health using industry-standard tools. Required Skills & Tools Performance Testing & Monitoring: ML Load Testing, Job Monitoring, Model Scalability Evaluation Platforms & Tools: Databricks, MLflow, Seldon, Kubeflow, Tecton, Jenkins Cloud Services: Experience with AWS and deploying/testing models in cloud environments Programming Languages: Proficiency in at least one of the following Python, Java, Scala Experience: Working with production-level ML models, especially involving high data volumes and real-time inference Strong communication skills and ability to work in cross-functional teams Preferred Qualifications Hands-on experience with CI/CD pipelines for ML systems Knowledge of A/B testing and canary deployments for ML models Experience building testing frameworks for ML infrastructure at scale Understanding of monitoring and alerting best practices in production ML systems Be at the forefront of ML operations and model performance optimization Collaborate with industry-leading engineers and contribute to cutting-edge AI deployments Gain deep exposure to real-time data systems, cloud platforms, and enterprise-scale ML testing Competitive compensation and an innovative, fast-paced work environment

Performance Engineer Location: Bengaluru (Whitefield) Team: Product Engineering Employment: Full-Time | Hybrid About Cognite Cognite is a global SaaS leader driving industrial digital transformation through AI and data. Our flagship products include Cognite Atlas AI and Cognite Data Fusion (CDF), empowering industries such as Oil & Gas, Chemicals, Pharma, and Manufacturing to harness data at scale. Recognized with multiple industry awards, including 2022 Technology Innovation Leader and 2024 Microsoft Energy & Resources Partner of the Year, we lead the way in innovative industrial solutions. Our Values Impact: Deliver meaningful outcomes with focus and purpose. Ownership: Take initiative, embrace responsibility, and collaborate inclusively. Relentless: Innovate persistently, learn from challenges, and improve continuously. Role & Responsibilities Design, develop, and execute performance and load tests to ensure system scalability, stability, and reliability of Cognite SaaS products. Identify performance bottlenecks and provide actionable insights for improvement. Build and maintain testing frameworks, scripts, and tools to support performance testing initiatives. Collaborate closely with engineering teams to align testing strategies with system architecture. Monitor production system performance and assist in root cause analysis of performance issues. Share performance optimization best practices via documentation, training, and team discussions. Qualifications Bachelor s or Master s degree in Computer Science, IT, or related fields. 3-5 years of experience in performance testing and engineering, preferably in SaaS environments. Proficiency with performance testing tools such as JMeter, Gatling, LoadRunner, BlazeMeter, or equivalents. Strong understanding of CI/CD pipelines and container technologies like Kubernetes and Docker. Solid programming skills in Java, Python, or similar languages. Experience with databases like PostgreSQL. Familiarity with performance monitoring and analysis tools such as Grafana and Prometheus. Preferred Skills Agile methodology experience and working in globally distributed teams. Expertise testing large-scale systems and handling high-volume data loads. Knowledge of React and JSON for test data creation and API performance testing. Diverse global community with 70+ nationalities and strong DEI focus. Modern, vibrant office in Whitefield, Bengaluru with hybrid work culture. Flat organizational structure with direct access to leadership and minimal bureaucracy. Collaborate with world-class talent on ambitious and impactful industrial tech projects. Engage with the wider Cognite community through HUB conversations and partnerships. Make an Impact Join Cognite to help build scalable, high-performing SaaS solutions that empower industrial enterprises globally. We welcome candidates from all backgrounds to apply. Qualification : Bachelors or Masters degree in Computer Science, IT, or related fields.

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!

Analyst I - Infrastructure Services Location: Bangalore Job Description: The Analyst I - Infrastructure Services will be responsible for providing technical support, assisting with infrastructure-related tasks, and contributing to the monitoring, troubleshooting, and documentation of infrastructure systems. This position requires a proactive individual who can work collaboratively with the team to address infrastructure challenges and continuously improve technical skills. Essential Job Functions: Provide technical support in infrastructure services, responding to issues, and assisting with various infrastructure tasks. Contribute to infrastructure projects and tasks under supervision. Participate in monitoring and basic troubleshooting of infrastructure systems to ensure optimal performance. Collaborate with team members to address infrastructure-related challenges and meet departmental goals. Assist in the development and maintenance of infrastructure documentation, including incident logs, records, and system configurations. Continue to develop and enhance technical skills and stay up-to-date with emerging industry technologies. Apply problem-solving abilities to resolve infrastructure-related issues efficiently. Follow best practices and standards in the delivery of infrastructure services. Basic Qualifications: Bachelor s degree in a relevant field (e.g., Computer Science, Information Technology) or equivalent combination of education and experience. Typically, 2+ years of relevant work experience in infrastructure technology or technical support. Proven experience in infrastructure technology analysis. Proficiency in data analysis and problem-solving techniques. A continuous learner, eager to stay informed about industry advancements and emerging technologies. Other Qualifications: An advanced degree in a relevant field is a plus. Relevant certifications such as CompTIA Security+, Cisco CCENT, or AWS Certified Solutions Architect are highly beneficial. This position offers opportunities for growth and development within a dynamic and supportive team environment. If you're ready to enhance your infrastructure services career in a forward-thinking company, we encourage you to apply! Qualification : Bachelors degree in a relevant field (e.g., Computer Science, Information Technology) or equivalent combination of education and experience.

Job Title: Cloud-Based AI Developer - Advanced Analytics Group (AAG) Company: Bain & Company Job Type: Full-Time Employment Type: Permanent What Makes Us a Great Place to Work: We are proud to be consistently recognized as one of the world s best places to work, a champion of diversity, and a model of social responsibility. We are currently ranked #1 on Glassdoor's Best Places to Work list, and we have maintained a spot in the top four for the last 13 years. Diversity, inclusion, and collaboration are key to building extraordinary teams. We hire people with exceptional talents, abilities, and potential, creating an environment where you can thrive both professionally and personally. We are publicly recognized for being a great place to work for diversity and inclusion, women, LGBTQ, and parents. Who You ll Work With: As a member of Bain s Advanced Analytics Group (AAG), you will work alongside generalist consultants to help clients across industries solve their biggest problems using expertise in data science, customer insights, statistics, machine learning, data management, supply chain analytics, and data engineering. AAG team members hold advanced degrees in computer science, engineering, AI, data science, physics, statistics, mathematics, and other quantitative disciplines, with backgrounds in tech, data science, marketing analytics, and academia. We are committed to building a diverse and inclusive team and encourage candidates of all backgrounds to apply. What You ll Do: As a member of the AAG, you will be responsible for designing, developing, and maintaining cloud-based AI applications that provide high-quality, scalable, and secure solutions for our clients. Your work will encompass the full stack, from API design to deployment, delivering analytics solutions across various sectors. Cloud-Based AI Development: Design, develop, and maintain cloud-based AI applications, ensuring scalability and security, leveraging full-stack technology solutions. Cross-Functional Collaboration: Work with product managers, data scientists, and other engineers to define and implement analytics features that meet business requirements. Cloud and Containerization: Use Kubernetes and containerization technologies to deploy, manage, and scale applications in cloud environments for optimal performance. API & Microservices Development: Develop and maintain APIs and microservices to expose analytics functionality, adhering to industry best practices for design and documentation. Security and Compliance: Implement robust security measures to protect sensitive data and ensure compliance with data privacy regulations. Troubleshooting and Performance Monitoring: Continuously monitor and troubleshoot application performance, resolving issues impacting system reliability and user experience. Code Reviews and Best Practices: Participate in code reviews and contribute to the establishment of coding standards to ensure high-quality, maintainable code. Emerging Trends and Technologies: Stay current with emerging trends in cloud computing, data analytics, and software engineering to enhance the platform s capabilities. Collaboration with DevOps: Work with DevOps and infrastructure teams to automate deployment and release processes, optimizing the development workflow. Client Collaboration: Collaborate closely with business consulting teams to assess opportunities and develop analytics solutions across sectors. Education and Influence: Influence and educate clients on analytics application engineering capabilities, supporting their teams directly. Travel: Expect occasional travel (30%) for project work. About You: Required Qualifications: Education: Master s degree in Computer Science, Engineering, or a related technical field. Experience: 3+ years of experience at Senior or Staff level, or equivalent. Expertise in client-side technologies such as React, Angular, Vue.js, HTML, and CSS. Experience with server-side technologies such as Django, Flask, and Fast API. Proficiency with cloud platforms (AWS, Azure, GCP) and Terraform automation (good to have). 3+ years of expertise in Python. Experience using Git for version control and collaboration. Familiarity with DevOps, CI/CD, and tools like GitHub Actions. Demonstrated interest in LLMs, prompt engineering, and Langchain. Experience with workflow orchestration tools such as dbt, Beam, Airflow, Luigi, Metaflow, Kubeflow, or similar. Experience in the implementation of large-scale structured or unstructured databases, as well as containerization technologies like Docker and Kubernetes. Skills and Knowledge: Strong interpersonal and communication skills to explain complex engineering topics to colleagues and clients from various disciplines. Curiosity, proactivity, and critical thinking. Solid computer science fundamentals in data structures, algorithms, automated testing, object-oriented programming, performance complexity, and software architecture. Expertise in designing API interfaces and knowledge of data architecture and database schema design. Familiarity with agile development methodologies. Join Bain & Company: Become a part of a forward-thinking team committed to solving complex problems, building innovative solutions, and delivering impactful data analytics and AI solutions. Collaborate with talented professionals and gain valuable experience that shapes the future of data analytics and AI. Qualification : Masters degree in Computer Science, Engineering, or a related technical field.

At FalconX, we are a trailblazing team of operators, investors, and builders dedicated to transforming institutional access to the cryptocurrency markets. Positioned at the crossroads of traditional finance and cutting-edge technology, FalconX seeks to solve the industry's biggest challenges. The digital asset market can often feel complex and fragmented, with limited products and services that support the advanced trading strategies, structures, and liquidity found in traditional financial markets. That s where we come in. As a comprehensive solution for all digital asset strategies, FalconX acts as the connective tissue, guiding clients through the fast-paced, ever-evolving crypto landscape. Position: Technical Product Manager We re on the hunt for a Technical Product Manager to focus on the technical and tactical aspects of our electronic trading platform Midas. As a key player on the team, you ll collaborate with internal teams to build and maintain scalable, robust, and high-performing solutions tailored for institutional customers. The scope of this role includes everything from routing, trading system infrastructure, and performance monitoring to enhancing client experience and overseeing the entire trade lifecycle. What You'll Do: Drive OKRs & Execution Lead the execution of technical designs and builds by driving Objectives and Key Results (OKRs) to ensure impactful work for the team. Write PRDs for Technical Improvements Own the process of writing Product Requirement Documents (PRDs) for technical improvements at both the infrastructure and application layers of the electronic trading platform. Cross-Functional Collaboration Partner closely with Engineering, Partnerships, Operations, and Compliance teams to gather and define all necessary requirements for successful product launches/releases. Enhance Liquidity Provider Program Build tools to monitor, track, and report liquidity status, identifying and addressing any potential gaps in the liquidity provider program. Develop Testing Frameworks Design and implement testing frameworks, create test cases, and ensure high-quality releases for individual product releases. Trading Data & Metrics Tracking Build tools to track and report trading data and success metrics, ensuring that product releases are delivering measurable impact. What You Need to Bring: 3+ Years Experience in API Development Proven experience in technical product management, with a strong focus on API development and management. 2+ Years in Brokerage, Market-Making, or Institutional Trading Experience working within brokerage, market-making, or institutional trading environments. Hands-on Coding Skills Proficiency in coding using programming languages like Python, Java, Golang, or C++ is a must. Understanding of Market Microstructures Deep understanding of market microstructures and familiarity with low-latency trading principles. Background in Sell-Side or Buy-Side Institutions Experience working at a sell-side or buy-side institution is essential to this role. Experience in Digital Assets (Bonus) Previous experience in the digital asset space is a significant bonus. Joining FalconX means becoming part of an innovative, forward-thinking team that s helping shape the future of digital asset trading. We re not just about technology we re about building the future of finance and providing our clients with the tools they need to succeed in a rapidly evolving market. If you're ready to work at the intersection of finance and blockchain technology, and drive impactful change in the crypto space, this is the role for you.

Staff Engineer - Product and Platform Engineering (Aerospace and Defense) About the Role: We are seeking a highly motivated and experienced Staff Engineer to join our Product and Platform Engineering team within the Aerospace and Defense domain. This role requires 6-10 years of experience and a strong background in leading the design, development, and implementation of scalable solutions using React.js, Spring Boot, and other relevant technologies. The ideal candidate will collaborate with teams to define technical specifications aligned with business goals, utilize Java expertise for robust microservices architecture, mentor junior engineers, drive Agile adoption, own AWS services configuration and optimization, ensure system security, performance, and reliability, and stay updated on industry trends. Responsibilities: Lead the design, development, and implementation of scalable and efficient product and platform solutions using React.js, Spring Boot, and other relevant technologies. Collaborate with cross-functional teams to gather requirements, define technical specifications, and ensure alignment with business goals. Utilize strong Java expertise to design and implement robust microservices architecture. Mentor and guide junior engineers in best practices, code reviews, and technical skills development. Drive the adoption of Agile methodologies to streamline development processes and improve project delivery. Take ownership of AWS services configuration and optimization, including EC2, ECS, Route53, VPC, SQS, and SNS. Ensure the security, performance, and reliability of the system by implementing unit testing, monitoring, and troubleshooting. Stay updated on industry trends and technologies, continuously enhancing skills and contributing to the innovation and growth of the team. Qualifications: Bachelor of Technology (B.Tech) or Bachelor of Engineering (B.E) in Computer Science or Information Technology, or Master of Technology (M.Tech) in Computer Science or Software Engineering. 6-10 years of extensive experience in React.js, Spring Boot, JavaScript, HTML, CSS, NoSQL, TypeScript, Agile Methodologies, AWS (EC2, SNS, SQS, ECS, Route53, VPC), RDBMS, Data Structures and Algorithms, and Microservices. In-depth understanding and proficiency in each of the listed technologies. Specifically, deep expertise in Java, Spring Boot, and Microservices is critical. Strong foundation in Agile Methodologies. Familiarity with database systems (RDBMS and NoSQL). Preferred Qualifications: AWS Certified Solutions Architect certification. React Developer Professional Certificate. About Altimetrik: Altimetrik delivers outcomes for our clients by rapidly enabling digital business & culture and infusing speed and agility into enterprise technology and connected solutions. We are practitioners of end-to-end business and technology transformation. We tap into an organization s technology, people, and assets to fuel fast, meaningful results for global enterprise customers across financial services, payments, retail, automotive, healthcare, manufacturing, and other industries. Founded in 2012 and with offices across the globe, Altimetrik makes industries, leaders and Fortune 500 companies more agile, empowered and successful. Altimetrik helps companies get unstuck . We re a technology company that gives organizations a process and context to solve problems in unconventional ways. We re a catalyst for organizations talent and technology, helping teams push boundaries and challenge traditional approaches. We make delivery more bold, efficient, collaborative and even more enjoyable. Qualification : Bachelor of Technology (B.Tech) or Bachelor of Engineering (B.E) in Computer Science or Information Technology, or Master of Technology (M.Tech) in Computer Science or Software Engineering.

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 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.

General Summary: Qualcomm is at the forefront of technology innovation, enabling next-generation experiences and driving digital transformation to create a smarter, connected future. As a Qualcomm Systems Engineer, you will research, design, develop, simulate, and validate systems-level solutions, collaborating across functional teams to meet and exceed system-level requirements. The Automotive System Performance team optimizes multimedia performance on Snapdragon Automotive chipsets, covering technologies like Camera, Video, Graphics, and Display. Responsibilities: System Optimization: Support profiling and optimization of system use cases related to multimedia performance on automotive platforms. Hardware Understanding: Set up and manage hardware configurations in lab environments and conduct performance testing. Multimedia Performance Validation: Work on IP hardware functional and performance validation for multimedia domains such as Camera, Video, Display, GPU, and Audio. Debugging and Issue Resolution: Passionately debug system-level issues, utilizing Android system tools, JTAG, scripting, and other debugging tools. Cross-Team Collaboration: Work with global, cross-functional teams to meet project milestones and ensure successful execution of performance-related tasks. Pre-Silicon and Emulation Work: Leverage expertise to work in pre-silicon/emulation environments as needed. Required Skills and Experience: Experience: 6 8 years in embedded systems with expertise in multimedia hardware architecture and device driver development. Hardware Fundamentals: Strong knowledge of display, video, and camera basics; DDR, SMMU, NOC; system interconnects; and bus protocols like AXI/AHB. SoC Architectures: Deep understanding of Auto/Mobile SoC architectures and multimedia subsystems' data flows. Processor Expertise: Basics of ARM architecture, including multicore/multiprocessor systems with SMP/heterogeneous cores. Programming Skills: Proficiency in C programming for embedded platforms. Operating Systems: Familiarity with Linux kernel internals, scheduling policies, locking mechanisms, MMU/paging, and RTOS concepts. Validation Experience: Prior experience in silicon or emulation-based validation of hardware performance in multimedia domains. Debugging Tools: Experience with Android system tools, debugging tools, and scripting. Cross-Functional Skills: Ability to collaborate across geographies and teams, demonstrating excellent communication and problem-solving skills. Preferred Skills: Exposure to working in emulation/pre-silicon environments. Experience with system QoS, performance monitoring, and profiling tools. Familiarity with Android/Linux kernel fundamentals and multimedia technology stack. Educational Requirements: Required: Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, or related fields. Preferred: Master's degree in Computer Engineering, Computer Science, Electrical Engineering, or related fields. Why Join Qualcomm? Cutting-Edge Innovation: Be part of a team driving next-generation automotive multimedia technologies. Global Collaboration: Work alongside talented professionals from diverse geographies and functional areas. Professional Growth: Opportunities to develop and advance within a company leading the technology sector. Impactful Work: Contribute to the development of automotive platforms that redefine connectivity and multimedia performance. Qualification : Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, or related fields.