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Harness is the AI Software Delivery Platform company, valued at $5.5B and backed by Goldman Sachs, Menlo Ventures, and other leading investors. The company powers over 185M deployments annually and helps enterprises like United Airlines and Morningstar accelerate releases by up to 75% and reduce cloud costs by up to 60%.
The Feature Management & Experimentation (FME) platform processed 4 trillion feature flag evaluations last year, requiring massive global concurrency, millisecond-level latency through a distributed delivery network, and tier-one enterprise reliability.
As Senior Manager of Software Engineering for the FME team in Bengaluru, you will lead a high-performing backend engineering team and combine technical leadership, strategic execution, and people management. Your responsibilities include:
**People Leadership & Mentorship:** Hire, grow, and mentor a world-class team of engineers. Provide career framework guidance, technical training, and performance evaluations.
**Execution & Delivery:** Drive agile development cycles with short customer feedback loops. Ensure consistent delivery on module-level and cross-company priorities, including integration into Harness 3.0 and the Unified Data Platform.
**Technical Governance:** Own engineering excellence, operational rigor, and product quality. Partner with Architects and Staff Engineers on technical specifications, cloud integrations, and distributed systems design.
**Operational Health:** Champion practices to minimize production incidents and regressions (targeting 2 S2+ regressions per quarter). Track engineering metrics, optimize cloud infrastructure costs, and enforce efficient code review processes.
**Cross-Functional Collaboration:** Partner with Product Management, SRE/DevOps, and other module teams to unblock dependencies and ensure enterprise-readiness.
Harness offers competitive salary, comprehensive healthcare, flexible work schedule, paid time off, parental leave, team-building events, and monthly internet reimbursement.
**Requirements:**
- 10–14 years of overall software development experience
- At least 2–3 years in formal engineering management or tech-lead capacity managing high-performing backend teams
- Deep technical expertise in building highly scalable, fault-tolerant distributed systems
- Strong familiarity with Java or Golang (required)
- Proven experience with containerized ecosystems (Docker/Kubernetes)
- Cloud ecosystem experience (GCP/AWS/Azure)
- Advanced database/search technologies (PostgreSQL, relational DB tuning, Elasticsearch)
- Experience scaling data pipelines processing 10 TB+ daily
- Strong expertise in distributed processing frameworks like Spark and Flink
- Experience with high-concurrency systems, low-latency networks, real-time data processing, or edge delivery networks
- Deep understanding of modern CI/CD processes, deployment metrics, automated quality gates, and distributed tracing architectures
- Exceptional problem-solving, debugging, and cross-functional communication skills
- Proven track record navigating ambiguity, managing shifting requirements, and executing under tight release cycles
