Senior Engineer/Lead - Observability Services

As a Senior Engineer/Lead in the Scale & Performance team of an AI-Powered Observability Platform in Bangalore, you will be responsible for driving performance, scalability, and reliability initiatives. You will collaborate with platform, SRE, frontend, and backend teams to optimize system performance and ensure efficient scaling to meet customer and data demands. **Key Responsibilities:** - Own performance and scalability benchmarking for the Observability Platform components. - Design and execute load, stress, soak, and capacity tests for microservices and ingestion layers. - Identify performance bottlenecks across infrastructure and application layers. - Develop and maintain performance test frameworks and benchmarking environments. - Partner with DevOps and SRE teams to tune system configurations for scale. - Instrument services with OpenTelemetry metrics and traces. - Contribute to capacity planning, scaling strategy, and resource optimization. - Analyze production incidents for scale-related root causes. - Collaborate with engineering teams to design scalable architecture patterns. **Skills & Qualifications:** - Strong background in performance engineering for large-scale distributed systems. - Expertise in Kubernetes, container runtime, and resource profiling in containerized environments. - Solid knowledge of Linux internals, CPU/memory profiling, and network stack tuning. - Hands-on experience with observability tools like Prometheus, Grafana, and OpenTelemetry. - Familiarity with datastores used in observability platforms. - Experience building and executing performance benchmarking frameworks. - Strong analytical and problem-solving skills with an automation-first mindset. **Good-to-Have:** - Experience with agent benchmarking and streaming systems. - Exposure to CI/CD pipelines for performance testing and regression tracking. - Understanding of cost optimization and capacity forecasting in cloud environments. - Proficiency in Go, Python, or Bash scripting for automation and data analysis. This role is ideal for engineers passionate about high-performance distributed systems, Kubernetes, and observability stack performance.,