Senior Site Reliability Engineer

We are looking for a Senior Site Reliability Engineer to join our team. You'll work closely with backend engineers, product managers, and other SREs to identify risk before it becomes an incident — and when incidents do happen, you'll help lead the response and the follow-up.

Design, build, and maintain monitoring, alerting, and observability tooling, including metrics, logs, and traces, for debit card services Build and maintain dashboards that surface availability, latency, error rates, and other key reliability signals to engineering and leadership Define and track Service Level Objectives (SLOs), Service Level Indicators (SLIs), and error budgets for critical debit card flows, such as authorization, settlement, card issuance, and disputes Monitor system availability and reliability on an ongoing basis, proactively identifying degradation trends before they cause customer-facing impact Participate in on-call rotations, leading or supporting incident response, root cause analysis, and blameless postmortems Partner with product and backend engineering teams to review architecture for reliability, scalability, and fault tolerance Automate manual operational work through tooling and scripting to reduce repetitive tasks and operational toil Conduct capacity planning and performance testing to ensure systems scale effectively with transaction volume Improve deployment safety through canary releases, rollback automation, and progressive delivery practices Contribute to and enforce reliability best practices, runbooks, and operational documentation across the team A minimum of 3 years of relevant experience as a Site Reliability Engineer, DevOps Engineer, or Production/Infrastructure Engineer Hands-on experience with monitoring and observability tools such as Grafana, Prometheus, Datadog, or M3/Uber's internal metrics stack Strong understanding of SLOs, SLIs, error budgets, and other reliability engineering principles Proficiency in at least one programming language commonly used for tooling and automation, such as Go, Python, or Java Experience with distributed systems and a solid understanding of failure modes in high-throughput, low-latency environments Familiarity with container orchestration and infrastructure, such as Kubernetes and Docker, along with cloud or on-prem infrastructure at scale Experience with incident management processes, including on-call response, root cause analysis, and postmortems Strong scripting and automation skills for reducing operational toil, using tools such as Bash, Python, or similar languages Working knowledge of CI/CD pipelines and safe deployment practices, including canary, blue-green, and rollback strategies Excellent communication skills, with the ability to translate system health data into clear insights for both engineers and non-technical stakeholders Excellent English communication skills (B2 level or higher) Experience in payments, fintech, or other high-compliance, transaction-critical environments Familiarity with PCI-DSS or other financial services compliance and security requirements Experience with chaos engineering or fault-injection testing Background in database reliability, including query performance, replication, and failover, for transactional systems Experience building or maintaining internal tooling and platforms for observability at scale