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We are seeking a seasoned, hands-on Software Engineering Manager to lead and scale large engineering organizations in Enterprise Technology while remaining deeply engaged in technology. This is a true player‑coach role, responsible for organizational leadership, engineering excellence, and active technical contribution. You will manage and grow teams at scale, shape technical strategy, and drive the adoption of modern, AI‑powered solutions across products and platforms.
Job Responsibility:
Organizational Leadership: Lead and scale engineering organizations of up to 100+ engineers through effective org design, hiring strategies, performance management, and career development
Technical Leadership (Player‑Coach): Actively contribute to critical codebases and system design while guiding architectural decisions to ensure scalability, reliability, and security
AI‑Driven Engineering: Champion the integration of AI capabilities into products, platforms, and developer workflows
Drive adoption of AI‑assisted development tools (e.g., code generation, testing, observability, incident response)
Partner with Product and Data teams to translate business problems into AI‑powered solutions
Engineering Excellence & Operations: Establish and enforce best practices in CI/CD, testing, code quality, and operational excellence
define and track KPIs (including DORA metrics) to improve velocity and quality
Cross‑Functional Collaboration: Work closely with Product, Design, and other stakeholders to align delivery, roadmaps, and technical strategy with business objectives
Requirements:
15+ years of experience in software engineering
at least 5 years in engineering management roles
proven experience managing or influencing engineering teams of 20–100+ engineers
demonstrated ability to contribute production‑quality code in modern programming languages (e.g., Python, Java, JavaScript/TypeScript, React)
strong expertise in modern software architecture, cloud platforms, and DevOps practices
excellent communication skills, with the ability to bridge technical and non‑technical audiences
proven record of building strong engineering culture, accountability, and technical excellence
Nice to have:
Experience scaling engineering teams in high‑growth or complex technology organizations
background in AI/ML systems, data‑intensive platforms, or applied AI product development
experience leveraging AI to improve engineering productivity, system reliability, or customer outcomes
familiarity with regulatory or compliance‑heavy environments