
Engineering Manager
3 weeks ago
Job Title: Engineering Manager (Java / Spring Boot, AWS) – Remote Leadership Role
Location: Remote
Employment Type: Full-time
About the Opportunity:
We're looking for an Engineering Manager to guide our micro-service platform and mentor a fully
remote backend team. You'll blend hands-on technical ownership with people
leadership—shaping architecture, driving cloud best practices, and coaching engineers in their
careers and craft.
Key Responsibilities:
Architecture & Delivery
• Define and evolve 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.
Required Qualifications:
● 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
Nice-to-Have:
● 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
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