About the job
Job Title : Engineering Manager (Java / Spring Boot, AWS) Remote Leadership Role
Location : Remote
Employment Type : Full-time
About the Opportunity :
Were looking for an Engineering Manager to guide our micro-service platform and mentor a fully remote backend team. Youll blend hands-on technical ownership with people leadershipshaping 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 BootProven experience leading or mentoring engineers; direct people-management a plusExpert knowledge of AWS services and cloud-native design patternsHands-on mastery of Elasticsearch, PostgreSQL / MySQL, and Redis for high-volume, low-latency workloadsDemonstrated success scaling systems to millions of users or billions of eventsStrong grasp of DevOps practices : containerization (Docker), CI / CD (GitHub Actions), observability stacksExcellent communication and stakeholder-management skills in a remote-first Hands-on experience with Datadog (APM, Logs, RUM) and a data-driven approach to debugging / performance tuningStartup experience comfortable wearing multiple hats and juggling several projects simultaneouslyPrior title of Principal Engineer, Staff Engineer, or Engineering Manager in a high-growth SaaS companyFamiliarity with AI-assisted development tools (Copilot, CodeWhisperer, Cursor) and a track record of introducing them safely(ref : hirist.tech)