Job Description:
At Remitly, we believe everyone deserves the freedom to access, move, and manage their money wherever life takes them. Since 2011, we've tirelessly delivered on our promise to customers sending money globally, providing secure, simple, and reliable ways to manage their money, ensuring true peace of mind. Whether it's supporting loved ones back home, growing a business across continents, or pursuing new opportunities abroad, we're not just here to move money- we're here to move our global customers forward.
We're looking for builders, reimaginers, and global thinkers who want to work at the intersection of technology, trust, and transformation. If that's you and you're ready to do the most meaningful work of your career-we invite you to join over 2,800 passionate Remitlians worldwide who are united by our vision to transform lives with trusted financial services that transcend borders.
About the Role
The Builder Platform is focused on giving every builder at Remitly a self-service path from idea to production. With AI, builders now include all employees, as well as the agents working with all of them. Builder Infrastructure is the foundation of that platform, running the infrastructure and networking behind a remittance business that moves money around the world every hour of every day. The next few years mean tailoring it to be AI-first and global by default, with growth absorbed by software and agents.
The Director of Engineering, Builder Infrastructure leads three teams through their managers: Cloud Engineering, Container Platform, and Infrastructure Security. The role sets the multi-year direction for the domain, decides how ownership is divided across teams and geographies, and is accountable to executive leadership for the velocity, reliability, security posture, and cost of Remitly's infrastructure.
You Will:
- Define a strategy for Builder Infrastructure that anticipates Remitly's growth in regions, accounts, and services, and turn it into domain goals your managers own
- Design the domain: team boundaries, ownership model, and workforce plan across Krakow and the US, so each team ships independently behind clear interfaces
- Lead and develop engineering managers and senior engineers, and build the bench and succession plans that let the organization run well without you in every decision
- Run infrastructure as a product, with paved roads and published APIs, and with adoption, lead time, and toil as the measures of success
- Set the direction for AI-operated infrastructure, where agents provision, patch, upgrade, and remediate within policy and people approve the changes that carry real risk
- Own the security implementation of the platform end to end, from least-privilege identity for people, workloads, and agents to hardened images that are rebuilt and rolled out continuously
- Make the deciding call on tradeoffs with serious consequences across reliability, security, cost, and delivery speed, and rebalance investment between new capabilities and technical debt
- Manage infrastructure spend as a unit cost with finance and engineering leadership, and fund the investments that return more than they cost as the business scales
- Partner with Security, SRE, Builder Experience, and product engineering leaders on cross-domain problems, and represent the domain to the executive team
- Establish mechanisms that give you visibility into team health, delivery, and operational quality without excessive oversight
You Have:
- A point of view, grounded in practice, on how AI agents change infrastructure operations and the shape of the teams that run them
- Experience leading multiple infrastructure or platform teams through engineering managers, ideally across countries and time zones
- A track record of setting and delivering a multi-year infrastructure strategy that changed how an engineering organization builds and ships
- Experience designing engineering organizations: drawing team boundaries, planning headcount across geographies, and raising the quality of engineering management
- Infrastructure that scaled ahead of business growth with sublinear headcount, delivered through automation, self-service, and API-driven control planes
- Depth across cloud, container, and identity systems sufficient to review large-scale designs and explain why current approaches replaced earlier ones
- Experience running infrastructure in a regulated environment, with security and compliance treated as design constraints from the start
- Credibility with executives up to the C-suite, translating infrastructure risk, cost, and investment into business terms
Skills and Technologies
- Agentic infrastructure operations: LLM agents, MCP integrations, and the guardrails, audit trails, and approval flows that let agents act on production safely
- Cloud foundations on AWS, GCP, or Azure: multi-account governance, IaC and API-driven control planes, and multi-region and edge networking
- Kubernetes fleet management: multi-cluster operations, cluster lifecy