Sr. Staff Software Engineer, Systems Infrastructure - Observability Engineering Platforms
LinkedIn (company site, opens in a new tab)12+ yrsBengaluruHybridDirect career pageEst. 60–95 LPA
Posted 2h ago
Reach people at LinkedIn
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at LinkedIn you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Architect, build, and scale end-to-end observability platforms handling billions of metrics per minute, including ingestion, processing, indexing, storage, and visualization.
- Own technical direction of observability systems covering metrics, logs, traces, and events to support engineering teams across the company.
- Provide architectural guidance and mentorship, serve as a role model, and collaborate across teams to drive platform adoption and roadmap definition.
Minimum Requirements
- Bachelor's degree in Computer Science or related technical discipline or equivalent experience.
- 12+ years of industry experience in software design and development with strong system design and problem-solving skills.
- 12+ years programming experience in OO languages like Java, C++, Python, Go, or functional languages.
- Experience building and operating large-scale streaming and real-time processing systems and developing large-scale observability platforms with distributed systems expertise.
Ideal Candidate Profile
- Experienced technical leader with 5+ years in architectural or technical leadership roles, able to influence multi-team technical strategy.
- Strong background in building and optimizing large-scale distributed storage systems and observability systems across metrics, logs, traces, and events.
- Skilled in collaborating across product and engineering teams, communicating complex technical concepts, and balancing trade-offs in high-scale system design.