Senior DevOps Engineer – Observability Platform
Qualcomm · Chennai · 2+ yrs experience · Posted 2026-07-09
Tech stack: AWS, C, C++, Docker, Go, Java, Kubernetes, Python, Terraform
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About the role
Qualcomm India Private Limited
Engineering Group, Engineering Group > Software Engineering
Responsibilities: - As a Senior DevOps Engineer
- Observability Platform, you will be responsible for building and maintaining scalable, reliable infrastructure and deployment pipelines with a strong emphasis on observability — metrics, logs, and traces — across systems running on Kubernetes and AWS.
- You will work closely with development teams to improve development velocity while ensuring system reliability, security, and performance.
- This role is critical in providing a standardized, observability platform that gives both internal engineering teams and external, customer-facing services deep, reliable visibility into system health, performance, and reliability
Qualifications: - Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience.
- Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience.
- PhD in Engineering, Information Systems, Computer Science, or related field.
- 2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc.
- Infrastructure Management Design, implement, and maintain cloud-based infrastructure using Infrastructure as Code principles Automation
- Develop automation scripts and tools to streamline operations and eliminate manual processes Containerization
- Manage containerization strategies and orchestration using Docker and Kubernetes Observability Platform:
- Design, build, and operate a standardized, self-service metrics, logs, and tracing platform (Prometheus, Grafana, Loki, OpenTelemetry) serving both internal teams and external, customer-facing services running on Kubernetes and AWS
- Instrumentation & Telemetry:
- Partner with engineering teams to instrument applications and infrastructure, standardizing telemetry collection with OpenTelemetry
- SLOs & Alerting:
- Define and maintain SLIs/SLOs and error budgets, build actionable dashboards, and tune alerting to maximize signal and reduce noise Performance Optimization
- Use observability data to analyze and optimize system performance, scalability, and cost-efficiency Documentation
- Create and maintain thorough documentation for infrastructure, deployment processes, and operational procedures Incident Response & Escalation:
- Provide second-tier engineering escalation during business hours and own the telemetry, SLO, and alerting tooling that powers incident detection and reduces MTTD/MTTR; front-line 24/7 on-call is owned by the dedicated SRE team, not observability engineers.
- Lead post-mortem analysis for observability-platform incidents
- 5+ years of experience in DevOps, Observability, or similar roles, including hands-on production experience operating Kubernetes based stack.
- Advantage Strong background in software development with security focus
- Cloud Platforms Extensive hands-on experience with AWS, including its observability services (CloudWatch, X-Ray, Amazon Managed Service for Prometheus, Amazon Managed Grafana)
- Infrastructure as Code
- Proficiency with Terraform, AWS CloudFormation, or similar IaC tools Containerization
- Advanced knowledge of Docker and Kubernetes ecosystem Observability Stack:
- Hands-on experience with Prometheus, Grafana, Loki, Tempo or Jaeger, OpenTelemetry, and Alertmanager; experience scaling metrics storage with Thanos, Mimir, or Cortex Programming/Scripting
- Strong coding skills in Python, Bash, or Go
- Problem-Solving: Excellent analytical and troubleshooting skills.
- Communication: Strong verbal and written communication skills.
- Collaboration: Ability to work effectively in a team environment and collaborate with cross-functional teams.
- Leadership: Proven leadership skills and the ability to mentor junior engineers.
- Remote Work: Comfortable working in a fully distributed, offshore setup and collaborating effectively with development teams across multiple locations.
Qualifications
- Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience.
- Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience.
- PhD in Engineering, Information Systems, Computer Science, or related field.
- 2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc.
- Infrastructure Management Design, implement, and maintain cloud-based infrastructure using Infrastructure as Code principles Automation
- Develop automation scripts and tools to streamline operations and eliminate manual processes Containerization
- Manage containerization strategies and orchestration using Docker and Kubernetes Observability Platform:
- Design, build, and operate a standardized, self-service metrics, logs, and tracing platform (Prometheus, Grafana, Loki, OpenTelemetry) serving both internal teams and external, customer-facing services running on Kubernetes and AWS
- Instrumentation & Telemetry:
- Partner with engineering teams to instrument applications and infrastructure, standardizing telemetry collection with OpenTelemetry
- SLOs & Alerting:
- Define and maintain SLIs/SLOs and error budgets, build actionable dashboards, and tune alerting to maximize signal and reduce noise Performance Optimization
- Use observability data to analyze and optimize system performance, scalability, and cost-efficiency Documentation
- Create and maintain thorough documentation for infrastructure, deployment processes, and operational procedures Incident Response & Escalation:
- Provide second-tier engineering escalation during business hours and own the telemetry, SLO, and alerting tooling that powers incident detection and reduces MTTD/MTTR; front-line 24/7 on-call is owned by the dedicated SRE team, not observability engineers.
- Lead post-mortem analysis for observability-platform incidents
- 5+ years of experience in DevOps, Observability, or similar roles, including hands-on production experience operating Kubernetes based stack.
- Advantage Strong background in software development with security focus
- Cloud Platforms Extensive hands-on experience with AWS, including its observability services (CloudWatch, X-Ray, Amazon Managed Service for Prometheus, Amazon Managed Grafana)
- Infrastructure as Code
- Proficiency with Terraform, AWS CloudFormation, or similar IaC tools Containerization
- Advanced knowledge of Docker and Kubernetes ecosystem Observability Stack:
- Hands-on experience with Prometheus, Grafana, Loki, Tempo or Jaeger, OpenTelemetry, and Alertmanager; experience scaling metrics storage with Thanos, Mimir, or Cortex Programming/Scripting
- Strong coding skills in Python, Bash, or Go
- Problem-Solving: Excellent analytical and troubleshooting skills.
- Communication: Strong verbal and written communication skills.
- Collaboration: Ability to work effectively in a team environment and collaborate with cross-functional teams.
- Leadership: Proven leadership skills and the ability to mentor junior engineers.
- Remote Work: Comfortable working in a fully distributed, offshore setup and collaborating effectively with development teams across multiple locations.
Responsibilities
- As a Senior DevOps Engineer
- Observability Platform, you will be responsible for building and maintaining scalable, reliable infrastructure and deployment pipelines with a strong emphasis on observability — metrics, logs, and traces — across systems running on Kubernetes and AWS.
- You will work closely with development teams to improve development velocity while ensuring system reliability, security, and performance.
- This role is critical in providing a standardized, observability platform that gives both internal engineering teams and external, customer-facing services deep, reliable visibility into system health, performance, and reliability