ApplySarthi

Staff Software Engineer, Tech Foundations

Jobgether

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235 open foundations roles across 50 companies are on ApplySarthi right now, most of them in Bengaluru (6).

What foundations roles keep asking for: AWS (34%), Python (31%), Java (29%), LLMs (29%), Machine learning (27%), Observability (27%), Scala (21%), C++ (20%) — counted across their open postings here.

Software Engineer jobs in the United States · Remote Software Engineer jobs · AWS jobs · Elasticsearch jobs · Java jobs · Kafka jobs

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Counted across 14 company job boards, updated as roles open and close.

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Interviews for foundations roles keep coming back to AWS, Python, Java, LLMs. Practise those questions before you sit with Jobgether.

Questions you are likely to be asked

  1. Why do you want to join Jobgether?
  2. What is your experience with Observability? Tell me one thing you learned the hard way.
  3. Walk me through a system you built. How was it designed, and what would you change now?
  4. Tell me about a hard bug you tracked down. How did you find the cause?
  5. How do you decide what to test, and what does good code review look like to you?

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Accountabilities: Technical Leadership & Architecture: Define the technical vision and architecture for major areas of the Observability platform, leading initiatives from initial design and prototyping through production deployment and ongoing operations. Distributed Systems Development: Design, build, and maintain highly scalable and reliable distributed systems capable of processing tens of millions of events per second. Metrics Infrastructure: Scale and optimize the metrics pipeline using technologies such as OpenTelemetry, vmagent, and Grafana Mimir, while managing infrastructure costs through aggregation, sampling, and unused-metric filtering. Logging & Tracing Modernization: Lead the transition from legacy log aggregation systems to OpenTelemetry-based pipelines and improve log and trace storage capabilities using technologies such as OpenSearch. Query Infrastructure: Develop fast, reliable, and secure query systems for engineers and AI agents, incorporating rate limiting, access controls, isolation, and caching to protect critical incident-response workflows. Telemetry Cost Optimization: Build self-service tools that provide engineering teams with visibility into telemetry costs, including cost attribution by team and service, as well as controls for data granularity, sampling, and retention. Observability & Reliability: Improve incident detection through anomaly detection, automated signal correlation, and enhanced monitoring capabilities. Cross-functional Collaboration: Align technical roadmaps with infrastructure and product teams, influence build-versus-buy decisions, and communicate architectural tradeoffs and investment priorities to engineering leadership. Engineering Excellence: Write high-quality, maintainable, and well-tested code, participate in design reviews, improve operational readiness, and contribute to relevant open-source projects. Mentorship & Knowledge Sharing: Mentor engineers, strengthen technical practices across the team, and help developers instrument services and independently investigate production issues. Requirements Professional Experience: At least 9 years of software engineering experience, with a proven track record of designing, building, and operating large-scale distributed systems in production environments. Technical Leadership: Demonstrated experience leading the technical direction of complex systems or multi-team initiatives, including architecture design, stakeholder alignment, delivery, and production operations. Observability Expertise: Deep experience in at least one major telemetry domain at scale, including metrics platforms such as Prometheus, Grafana Mimir, or VictoriaMetrics; logging technologies such as OpenSearch or Kafka; or distributed tracing solutions such as OpenTelemetry, Jaeger, or ClickHouse. Programming Skills: Strong software development capabilities in Go or Java/Kotlin, with the ability to navigate unfamiliar codebases and contribute to upstream open-source projects. Cloud Infrastructure: Hands-on experience with cloud-native technologies, particularly Kubernetes, AWS, and service mesh solutions such as Istio or Envoy. Communication & Collaboration: Excellent written and verbal communication skills, including the ability to produce clear technical design documents, explain architectural tradeoffs, and present investment recommendations to engineering leadership. Problem-solving: Strong analytical and architectural thinking, with the ability to address complex scalability, reliability, performance, and cost challenges. Open-source Contributions (Preferred): Experience contributing to OpenTelemetry, Prometheus, Grafana Mimir, VictoriaMetrics, OpenSearch, Jaeger, or comparable projects. Advanced Technical Knowledge (Preferred): Familiarity with time-series storage internals, high-cardinality datasets, query optimization, anomaly detection, automated correlation, or SLO-based alerting. Additional Expertise (Preferred): Experience with telemetry cost attribution, large-scale infrastructure cost optimization, AI-agent-facing APIs or tools (including MCP servers), and columnar analytics platforms such as ClickHouse. Benefits Competitive annual base salary ranging from $212,000 to $265,000 USD . Potential eligibility for performance-based bonuses. Equity compensation opportunities. Comprehensive employee benefits package. Employee Travel Credits. Remote-first working arrangement for eligible US locations. Flexibility to work remotely, with occasional office visits or team offsites as agreed with management. Opportunities to contribute to large-scale engineering initiatives and open-source projects. Collaborative environment focused on technical innovation, professional development, and knowledge sharing. Inclusive workplace culture that values diverse perspectives and equal employment opportunities.

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Listed on lever · posted 2026-11-03. ApplySarthi collects openings and links to application pages; the role is advertised by Jobgether, not by us.