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.