Engineering Manager at Workatbackbase

The Job in short We are seeking an experienced Software Engineering Manager to lead high-performing, cross-functional development teams. This role combines technical expertise, delivery excellence, and people leadership to ensure teams build robust, scalable software aligned with business objectives. As an AI-native leader, you will be pivotal in driving AI adoption across our Software Development Lifecycle (SDLC) and product strategy, ensuring our engineering practices remain modern, efficient, and future-ready. Meet the job Key Responsibilities People & Performance ● Lead, coach, and develop multi-disciplinary Agile teams (typically 6–8 engineers per team). ● Create an inclusive, engaging environment with a strong engineering culture. ● Drive performance and talent development through clear feedback, coaching, and formal reviews. ● Oversee local/global hiring and onboarding to build teams with balanced technical competencies and seniority. ● Address underperformance swiftly and constructively. Engineering Excellence ● Champion high-quality software delivery through modern engineering practices (CI/CD, test automation, observability, quality gates). ● Provide localised technical leadership ensuring guild guidelines are effectively implemented. ● Act as the technical leader guiding your team’s output and direction. Lead teams to achieve production-readiness and robust release management practices. Process & Delivery ● Ensure teams have the optimal processes, workflows, and tooling for success. ● Deliver commitments on time, enabling fast feedback loops with stakeholders. ● Drive continuous improvement in delivery capabilities, operating models, and tooling. ● Promote visibility and transparency through effective project tracking and communication. Product & Value Focus ● Collaborate with Product Managers and Domain Architects to translate business requirements into technical outcomes. ● Motivate teams to deliver high-value work that balances immediate needs with long-term strategic goals. ● Champion customer-centricity through data-driven insights, feedback loops, and usability. AI-Native Mindset ● Proactively explore, experiment with, and apply AI tools and agentic frameworks (e.g., code generation, test automation, developer productivity). ● Encourage AI adoption within engineering workflows and product capabilities. ● Partner with AI/ML SMEs to embed AI into value delivery across our SDLC. How about you? ● BSc or MSc in Computer Science, Engineering, or equivalent experience. ● 7+ years of software engineering experience, including 2+ years in people management. ● Proven experience with Agile delivery, CI/CD pipelines, and quality-focused development. ● Track record of building and scaling teams, processes, and product impact. ● Experience leading mobile and backend development teams is essential. ● Highly likely you have been a Principal or Staff Engineer prior to transitioning into an Engineering Manager role. ● Experience with identity management systems or related domains is desirable. ● Exposure to banking, payments, or SaaS is advantageous. Enthusiasm for leveraging AI to boost productivity and innovation.