
Backend Engineering Director
2 weeks ago
We are seeking a seasoned technical leader to spearhead our backend engineering efforts. The ideal candidate will possess a strong background in Java and Spring Boot, with experience in designing and operating distributed systems on AWS.
Key Responsibilities- Architecture & Delivery:
- Define and evolve the backend architecture built on Java 17+, Spring Boot 3, AWS (Containers, Lambdas, SQS, S3), Elasticsearch, PostgreSQL/MySQL, Databricks, Redis, etc.
- Lead design and code reviews; enforce best practices for testing, CI/CD, observability, security, and cost-efficient cloud operations.
- Drive technical roadmaps, ensuring scalability (billions of events, 99.9% uptime) and rapid feature delivery.
- Team Leadership & Growth:
- Manage and inspire a distributed team of 6-10 backend engineers across multiple time zones.
- Set clear growth objectives, run 1-on-1s, deliver feedback, and foster an inclusive, high-trust culture.
- Coach the team on AI-assisted development workflows (e.g., GitHub Copilot, LLM-based code review) to boost productivity and code quality.
- Stakeholder Collaboration:
- Act as technical liaison to Product, Frontend, SRE, and Data teams, translating business goals into resilient backend solutions.
- Communicate complex concepts to both technical and non-technical audiences; influence cross-functional decisions.
- Technical Vision & Governance:
- Own coding standards, architectural principles, and technology selection.
- Evaluate emerging tools and frameworks (especially around GenAI and cloud-native patterns) and create adoption strategies.
- Balance technical debt and new feature delivery through data-driven prioritization.
- 8+ years designing, building, and operating distributed backend systems with Java & Spring Boot
- Proven experience leading or mentoring engineers; direct people-management a plus
- Expert knowledge of AWS services and cloud-native design patterns
- Hands-on mastery of Elasticsearch, PostgreSQL/MySQL, and Redis for high-volume, low-latency workloads
- Demonstrated success scaling systems to millions of users or billions of events Strong grasp of DevOps practices: containerization (Docker), CI/CD (GitHub Actions), observability stacks
- Excellent communication and stakeholder-management skills in a remote-first environment
- Hands-on experience with Datadog (APM, Logs, RUM) and a data-driven approach to debugging/performance tuning
- Startup experience comfortable wearing multiple hats and juggling several projects simultaneously
- Prior title of Principal Engineer, Staff Engineer, or Engineering Manager in a high-growth SaaS company
- Familiarity with AI-assisted development tools (Copilot, CodeWhisperer, Cursor) and a track record of introducing them safely
Delhi, India - Full-time
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