Engineering Manager

Job description

• Bachelor’s degree in Computer Science, Software Engineering, or a related field.

• 10+ years of software engineering experience and 5+ years in engineering leadership.

• Strong knowledge of software engineering principles, distributed systems, cloud-native architectures, microservices, RESTful APIs, CI/CD, observability, and modern DevOps practices.

• Hands-on experience with AWS, Azure, GCP, Jira, Git, CI/CD platforms, monitoring tools, and scalable distributed platforms.

• Experience leading engineering delivery, software quality, testing, automation, operational support, and modernisation of enterprise application environments.

• Knowledge of Agile methodologies, AI implementation and governance, security practices, data analytics, and regulated or financial services environments.

• Experience in banking, fintech, payments, lending, or other regulated technology domains.

• Drive and coach Agile teams to deliver against sprint goals, engineering standards, backlog commitments, and roadmap outcomes while maintaining predictable, high-quality execution.

• Lead and manage software engineers through goal setting, regular feedback, performance reviews, coaching, career development, and succession planning.

• Collaborate closely with product managers, architects, and cross-functional stakeholders to translate business priorities into clear engineering plans and team objectives.

• Contribute to architecture and key design decisions for current and future services, ensuring solutions are maintainable, resilient, secure, and aligned to engineering guardrails.

• Ensure strong software engineering practices including code reviews, automated testing, secure coding, documentation, and adherence to development standards.

• Drive execution of the engineering and technology roadmap for the team, balancing short-term delivery needs with long-term platform sustainability.

• Continuously improve team processes, delivery practices, and workflows through feedback, metrics, retrospectives, and pragmatic experimentation while owning and prioritising remediation of technical debt, reliability risks, performance bottlenecks, and legacy components.

• Support modern engineering practices across cloud-native systems, CI/CD, observability, incident readiness, and operational excellence.

• Lead engineering ownership across bespoke software, third-party platforms, SaaS products, and off-the-shelf solutions, ensuring lifecycle management, integration quality, vendor engagement, operability, security, and fit-for-purpose evolution.

• Partner with QA, DevOps, platform, data, security, and support teams to ensure solutions are tested, deployed, monitored, and supported in production while maintaining operational ownership and building versatile, accountable engineering teams.

Requirements

• Agile methodologies

• APIs

• AWS

• Azure DevOps

• CI/CD

• Git

• Jira

• Kanban

• Scrum

• Software Engineering