DevOps Engineer
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About the role
OpenFX is on a mission to move money as freely as data, unrestricted by time zones, banking hours, or legacy systems. We are building the infrastructure that will power the next generation of cross-border payment systems for institutions. The team's execution has been exceptional, and we're scaling at a remarkable pace. Our stellar early team comes with experience in companies like J.P. Morgan, Goldman Sachs, FalconX, Paypal, Affirm, Polygon, Kraken, Nium & others. We're backed by Accel, Lightspeed, NfX and other top-tier investors. Role Overview OpenFX processes billions of dollars in transaction volume every month across global corridors. Our systems power pricing, transaction execution, settlement, reconciliation, and risk management. These systems must remain available, observable, and correct under retries, partial failures, external partner downtime, and sudden traffic spikes. As volume scales from billions to tens of billions, operational complexity increases faster than headcount. Without strong DevOps ownership, we risk silent failures, slow incident response, fragile deployments, and growing operational debt. We need DevOps Engineers who can own production reliability, design safe deployment systems, and reduce operational risk through automation and strong engineering judgment. If we do not invest in this now, engineering velocity and system trust will degrade.
Responsibilities
- In your first 6 to 12 months, you will:
- Own reliability and operability of 1 to 2 production services, including services on the money path.
- Design and maintain CI/CD pipelines that enable frequent, safe deployments.
- Define and improve observability across metrics, logs, and alerts.
- Participate in on call rotations and lead incident response when needed.
- Identify and reduce operational risk by improving resilience and failure handling.
- Automate repetitive operational workflows such as deployments, rollbacks, and recovery steps.
- Partner with Backend, Security, and Infra teams to translate system requirements into infrastructure solutions
- Improve reliability metrics such as availability, MTTR, alert quality, and incident frequency.
- What Success Looks Like
- You will be measured on:
- System reliability: Services meet defined SLOs for availability and latency
- Operational clarity: Issues are detected via monitoring rather than customer reports
- Incident handling: Incidents are mitigated quickly with limited blast radius
- Automation: Manual operational work decreases over time
- Judgment: Infrastructure tradeoffs are deliberate and defensible
- Trust: Engineering teams rely on the platforms you operate
Requirements
- 3 to 7 years experience operating production systems
- Strong fundamentals in Linux, networking, and cloud infrastructure
- Experience running containerized workloads in production
- Hands on experience with CI/CD pipelines
- Experience designing monitoring and alerting systems
- Proven experience handling production incidents
- Ability to clearly explain operational decisions
- What helps you stand out:
- Experience with Kubernetes or similar orchestration platforms
- Infrastructure as Code experience (Terraform or equivalent)
- Operational experience with PostgreSQL, Redis, Kafka, or similar systems
- Experience in fintech or high transaction volume systems
- Security and compliance exposure
- Experience mentoring junior engineers
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