Engineering Manager

About the Role We’re looking for a hands-on Engineering Manager who takes end-to-end ownership of technology and delivery. This is not a role where your scope is limited to a predefined roadmap or set of tickets. We’re looking for someone who thinks and operates like a founder of the technology function — proactive, self-driven, technically strong, and accountable for outcomes. Key Responsibilities • Own the end-to-end development and delivery of complex software projects, from architecture and coding through deployment and production. • Lead and mentor a distributed team of backend, frontend, and QA engineers across different time zones. • Stay hands-on with architecture, coding, debugging, and code reviews . • Work closely with Product and Design to turn requirements into scalable, well-documented technical solutions. • Own the reliability, security, performance, and operational health of production systems. • Have strong DevOps ownership , including CI/CD, cloud infrastructure, containers, observability, deployment, and incident response. • Use AI effectively in day-to-day engineering to improve productivity, code quality, testing, debugging, documentation, and problem-solving. • Proactively identify and solve technical and product problems without waiting for them to be assigned. • Build a culture of craftsmanship, accountability, autonomy, and continuous improvement . • Develop engineers through regular 1:1s, feedback, mentoring, and clear career growth. We're Looking For • 7–8+ years of software engineering experience , with 2+ years in an Engineering Manager or technical leadership role . • Fintech, banking, or payments experience is strongly preferred , but not mandatory. • Strong hands-on experience with Go and/or Java , with a willingness to work increasingly with Java. • Strong understanding of SQL databases, AWS, microservices, and distributed systems . • Strong command of DevOps and production engineering practices . • Experience with modern software development and code review practices using tools such as GitHub/GitLab. • Strong understanding of security, reliability, testing, and operational best practices. • Comfortable using AI tools as part of everyday engineering work and able to identify where AI can create a meaningful advantage. • Highly self-driven and comfortable with ambiguity — you create clarity rather than wait for it. • Strong ownership mindset: you think beyond your assigned scope and take responsibility for the technology as a whole. • Excellent communication skills, particularly when working with distributed teams. The Mindset We're Looking For Don’t just manage the work. Own the technology. We want someone who sees a problem and takes it from “this should be better” → “here’s how we fix it” → “I’ll make it happen.” You should enjoy the full engineering lifecycle — architecting, coding, reviewing, deploying, debugging, operating, and improving systems.