Lead technical design and implementation for large, high-risk, or high-complexity initiatives that improve the availability, scalability, and resilience of our backend systems
Design robust service boundaries, define maintainable infrastructure architecture, and guide reliability standards and best practices across the engineering team
Understand edge cases in money movement and design with operational safety and compliance in mind, not just uptime
Own observability end-to-end metrics, logging, tracing, and alerting so issues are caught before customers feel them
Build and refine incident response processes, lead incident diagnosis and resolution in production, and drive thorough postmortems that prevent recurrence
Work seamlessly with cross-functional partners including product, compliance, finance operations, support, backend engineering, and external providers, communicating clearly and adapting your approach to whoever you are working with
Collaborate closely with fellow engineers through code and infrastructure review, pairing, and technical discussion, giving and receiving feedback in a way that raises the quality of the team's work, not just your own
Make sound, well-reasoned decisions on architectural trade-offs, deployment strategies, and rollout safety, and know when to escalate decisions with broader business impact
Drive capacity planning, performance tuning, and cost-efficiency across infrastructure, balancing reliability against operational spend
Define and track SLOs/SLIs, and use them to prioritize reliability work against feature delivery
Mentor other engineers; raise engineering and operational standards and strengthen both the systems you own and the people you work with
Requirements:
Minimum of 7 years experience in SRE, DevOps, or backend infrastructure roles, with deep expertise in Kubernetes, Docker, and AWS in production environments
Strong scripting/programming ability (TypeScript and/or another language used for tooling, automation, or services) to build internal tools and automate operational work
Practical expertise with PostgreSQL operations at scale, including replication, backup/recovery, performance tuning, and patterns that protect correctness in financial systems
Practical expertise with Redis for caching, coordination, rate-limiting, and distributed locking, including operating it reliably in production
Strong command of observability tooling (e.g., Prometheus, Grafana, Datadog, ELK, or equivalent) and a track record of building monitoring that catches problems early
Demonstrated experience designing and maintaining CI/CD pipelines, infrastructure as code (e.g., Terraform), and secrets management
Demonstrated experience in fintech or other high-stakes systems, including provider integration resilience, failover design, and compliance-sensitive infrastructure
A track record of owning complex, high-stakes incidents from detection through resolution and postmortem, and standing behind the outcomes
Strong communication skills, with the ability to work effectively across engineering, product, compliance, and external partners
A demonstrated habit of catching issues before they become incidents, and of treating failure as something to learn from rather than deflect
Experience mentoring or raising the operational standard of a team, not just delivering individually