Engineering Manager

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