Engineering Manager

Strong foundation in software engineering and system design, with a track record of building

enterprise-scale applications.

● Hands-on experience with Java, Spring Boot, REST APIs, microservices, distributed systems, and

relational databases such as PostgreSQL.

● Experience with cloud-native technologies, including containers, Kubernetes, and public cloud

platforms.

● Proven ability to lead engineering teams, coach engineers and technical leads, and build a culture

of accountability, collaboration, and continuous improvement.

● Strong delivery management skills: planning, estimation, prioritization, dependency and risk

management, and delivering against milestones.

● Working experience with Agile/Scrum practices, including sprint planning, backlog refinement,

reviews, retrospectives, and release planning.

● Solid understanding of software quality practices: automated testing, code review, performance

testing, observability, and production readiness.

● Hands-on experience with secure software development, application security, vulnerability

management, and DevSecOps practices.

● Experience with CI/CD pipelines and engineering automation, and with using delivery metrics to

improve predictability and developer productivity.

● Practical experience with AI-assisted development tools (e.g., GitHub Copilot, Claude Code,

Cursor, ChatGPT, Gemini Code Assist) across development, testing, debugging, and

documentation.

● Excellent communication and stakeholder-management skills, with the ability to convey delivery

status, risks, and trade-offs clearly to technical and non-technical audiences.

Roles & Responsibilities:

● Team & POD Leadership: Lead one or more engineering teams/PODs; set clear goals and

ownership, coach engineers and technical leads, and foster a culture of accountability, technical

excellence, and collaboration.

● People Management: Drive hiring, onboarding, performance reviews, career development, and

succession planning; manage team capacity in partnership with organizational leadership.

● Delivery Planning & Execution: Translate product roadmaps into engineering plans, estimates,

milestones, and release commitments; proactively manage risks, dependencies, and blockers to

deliver predictably.

● Engineering Excellence: Establish and uphold consistent practices for design reviews, code

reviews, testing, documentation, and maintainability; manage technical debt deliberately.

● Quality & Release Management: Coordinate development, QA, test automation, and security

testing through to release readiness; ensure the agreed Definition of Done and release criteria are

met.

● Security & Reliability: Partner with security, architecture, and operations teams to embed

security-by-design, timely vulnerability remediation, observability, resilience, and production

readiness.

● CI/CD & DevSecOps: Drive effective use of CI/CD, infrastructure automation, and cloud-native

deployment practices to improve delivery speed and reliability.

● AI-Assisted Engineering: Champion responsible use of AI-assisted engineering tools; define

team practices for reviewing and validating AI-generated code, and measure their impact on

productivity without compromising security or quality.

● Cross-functional Collaboration: Work with Product Owners, architects, QA, DevOps, security

specialists, and implementation partners to align priorities, resolve issues, and communicate

decisions and trade-offs.

● Metrics & Reporting: Track and report delivery predictability, throughput, quality trends,

escaped defects, technical debt, and team capacity; use these insights to drive improvement.

● Open-source Community: Engage the global MOSIP contributor community through

knowledge sharing, clear documentation, and collaborative development.