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Head of Engineering

Matrix Global ServicesPoland; Remote

About this role

Head of Engineering Matrix Global Services Daily tasks: - Own end-to-end delivery of software releases across all sites: planning, execution, quality, and on-time shipment. - Manage cross-site coordination between India and Russia: communication rhythms, dependency management, and timezone-aware processes. - Establish and refine development methodologies (Agile, Scrum, Kanban) across all teams. - Drive predictable delivery through capacity planning, velocity tracking, and risk management.

- Own release management including go/no-go decisions, rollback procedures, and post-release monitoring. - Establish and track engineering KPIs: velocity, cycle time, defect escape rate, deployment frequency. - People Leadership & Team Building - Lead and manage ~80 engineers, QA, and support professionals across geographies. - Define team structure, squad composition, and reporting lines. - Own the full hiring lifecycle: headcount planning, recruiting, interviewing, onboarding.

- Drive performance management, career development, and retention — particularly in competitive markets like India. - Build a strong engineering culture that works across geographies, cultures, and time zones. - Mentor team leads and senior engineers; develop the next generation of technical leaders. - Engineering Excellence & Quality - Enforce coding standards, code-review practices, and quality gates across legacy and modern codebases.

- Own QA strategy: test automation, coverage targets, regression management for both legacy and new code. - Drive CI/CD maturity: build pipelines, automated testing, deployment automation. - Manage technical debt strategically: track, prioritize, and allocate remediation capacity. - Ensure production stability: on-call rotations, SLA adherence, incident post-mortems. - Legacy Sustainment & Modernization Execution - Translate the CTO’s modernization roadmap into phased implementation plans with realistic timelines.

- Lead execution of cloud migration, Kubernetes adoption, and SaaS enablement. - Manage the legacy codebase: maintenance, security patches. Musts: Java, C++, React, Azure, AWS, Kubernetes 10+ years of engineering leadership experience, with at least 5 years managing teams of 50+ people. Proven track record managing distributed/offshore engineering teams, ideally including India. Deep experience with legacy modernization — not just greenfield/startup environments.

Previous experience in Java development Good understanding of React, Node.js, Cloud Hands-on understanding of cloud infrastructure, DevOps, CI/CD, Kubernetes, and modern SaaS delivery. Strong people-management skills: hiring, performance management, retention, culture-building across geographies. Background in a software vendor / product company (not only internal IT or consulting). Ability to engage with business stakeholders (Product, Sales, Support) so engineering decisions are well-informed.

An execution-and-delivery mindset — comfortable owning the “how and when” while the CTO office owns the “what and why.” Comfortable with ambiguity and long transformation timelines. Experience in developer tools, integration platforms, or infrastructure software. Track record of taking a team through a cloud/SaaS transformation. Familiarity with SMB and enterprise software sales cycles. Experience managing support functions alongside development.

Openness to AI-driven development practices and agentic workflows. Matrix Eastern Europe, the offshore division of Matrix IT, one of the leading global R&D services companies with more than 11,000 professionals, is looking for a Head of Engineering to join one of our teams. Our partner and client is a software vendor providing development, integration, and technical products for developers and technical professionals.

Their solutions serve the SMB and enterprise market worldwide, with customers — some of whom have been with us for over two decades — who rely on our products as core infrastructure. They are at an inflection point: modernizing our platform toward cloud-native, Kubernetes-based, AI-enabled delivery while continuing to support and evolve a mature product portfolio that our customers depend on daily.

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