Sr. Site Reliability Engineer

About the Role

We are seeking a Senior Site Reliability Engineer to join our cloud engineering team. You will own the reliability, scalability, and observability of our critical financial SaaS applications and infrastructure, working across cloud platforms to ensure our customers experience is seamless, secure, and performant services. This is a high-impact role for someone who is passionate about building resilient systems and preventing outages before they happen.

• Design, implement, and maintain Service Level Objectives (SLOs) and Service Level Indicators (SLIs) across all critical systems; ensure we meet or exceed targets consistently
• Lead observability strategy by designing comprehensive monitoring, logging, and tracing architectures; select and deploy observability tools that provide deep visibility into system behavior
• Build and own runbooks, incident response procedures, and post-incident review processes; mentor the team on incident management and blameless postmortems
• Architect and deploy cloud infrastructure on AWS or Azure; implement infrastructure-as-code practices and ensure high availability, disaster recovery, and business continuity
• Develop automation and AIOps capabilities to reduce toil, accelerate incident detection, and enable self-healing systems; implement intelligent alerting to minimize false positives
• Drive reliability improvements through load testing, chaos engineering, and failure scenario analysis; identify and eliminate single points of failure
• Partner with application and backend teams to design reliable systems from inception; conduct architecture reviews and reliability assessments
• Write production-grade Python tooling for automation, metrics collection, alert management, and operational workflows
• Champion security and compliance in infrastructure; implement defense-in-depth principles for a regulated fintech environment

• 7+ years in Site Reliability Engineering, Dev Ops, platform engineering, or closely related roles with significant responsibility for production systems
• Expert-level experience with Azure or AWS (or both); deep knowledge of compute, networking, storage, and managed services; experience managing infrastructure at scale
• Demonstrated expertise in observability: designing and implementing monitoring, alerting, logging, and distributed tracing solutions; hands-on with observability platforms (e.g., Prometheus, Grafana, ELK, Datadog, New Relic, or similar)
• Strong background in SLOs, SLIs, and SLAs; experience defining meaningful objectives and building systems to meet them; understanding of error budgets and their role in prioritization
• Proven experience designing and troubleshooting highly available, resilient, and scalable systems; deep understanding of distributed systems concepts and failure modes
• Proficiency in Python, Power Shell, bash, etc. scripting languages for production automation, tooling, and systems programming; ability to write clean, maintainable code for operat