Senior DevOps Engineer

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

Minimum Qualifications:

•    Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience.
OR
Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience.
OR
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