Engineering Manager (Java/JS) to $8500

What you’ll do

• Own engineering outcomes
• Be accountable for velocity, quality, reliability, scalability, and overall engineering capabilities for DataTech stream-aligned teams

• Ensure engineering initiatives align with DataTech strategy and the product roadmap

   

Lead and grow teams

• Manage engineers and SDE Leads through coaching, feedback, growth planning, performance management, and compensation input
• Build and evolve teams: hiring, onboarding, shaping the skill/seniority mix, and handling transitions when needed

• Maintain healthy team dynamics and address people challenges early

   

Plan and manage capacity

• Own short- and long-term capacity and capability planning
• Allocate people across initiatives based on priorities and constraints

• Identify delivery risks and drive mitigation via hiring, reprioritization, or internal rebalancing

   

Ensure strong SDLC execution and technical quality

• Ensure teams execute effectively across the SDLC: refinement, design, estimation, implementation, testing, deployment, and support
• Uphold engineering standards and non-functional requirements
• Partner with SDE Leads on architecture and solution design; involve Architecture/Platform/SRE when needed
• Improve SDLC efficiency by integrating Generative AI tooling where it adds value

Own reliability and operations

• Be ultimately responsible for the stability, performance, and quality of the services your teams own
• Drive observability improvements, SLIs/SLOs adoption, and incident reduction

• Strengthen operational excellence and technical health over time

   

Strengthen collaboration and ways of working

• Evolve engineering practices: code review, CI/CD, testing strategy, incident response, and continuous improvement
• Partner with Product, Data, and other domains to align plans and manage dependencies

• Contribute to domain-level planning and cross-team collaboration with senior engineering leadership

   

What we’re looking for

• Proven engineering leadership experience managing multiple software/data engineering teams (Engineering Manager or equivalent)
• Strong people management skills: coaching, performance management, conflict resolution, scaling teams
• Track record of delivery in agile, product-led environments, including capacity planning and prioritization
• Clear communication with both technical and non-technical stakeholders

• Ownership mindset: focus on long-term maintainability and quality, not only short-term delivery

   

Bonus points

• Experience in DataTech domains (data ingestion, processing, curation)
• Familiarity with Stream-Aligned Teams / Team Topologies
• Experience partnering with Architecture, Platform, SRE and enabling teams

• Background improving observability, reliability, and incident management for backend/data services

   

What we offer

• Impactful work on a product used by investment professionals worldwide
• Flexible working hours and a remote-friendly environment
• Growth opportunities through regular feedback, development support, and learning resources
• A collaborative engineering culture with strong cross-team partnership

Tech stack: Java 21, Kubernetes / GitOps, Spring Boot, OpenAPI, PostgreSQL, Kafka, Redis

Team: Lead, 5 Backend, 2 Frontend, 2 SDET

Please, send your CV including Engineering management role with Java, Javascript and experience & telegram link :)