Senior Site Reliability Engineer

September 28, 2026
Application ends: December 27, 2026

Job Description

REQUIREMENTS

  • 12+ years of professional software engineering or infrastructure engineering experience, including significant SRE and backend experience.
  • Deployed significant changes to a production application or infrastructure configuration in the past 30 days.
  • Strong proficiency in Golang, with experience building and maintaining RESTful APIs.
  • Expertise with SQL-based RDBMS (MySQL, PostgreSQL) and experience optimizing schema and queries for performance at scale.
  • Proficiency in observability tools (Prometheus, Grafana, Datadog, New Relic).
  • Solid understanding of distributed systems design patterns (e.g., transactional outbox, event-driven architecture and stream processing, queues).
  • Demonstrated ability to bring new ideas forward, influence decisions, and lead complex technical initiatives.
  • Bachelor’s degree in Computer Science or equivalent practical experience.

Preferred Knowledge and Skills:

  • Experience with AWS cloud infrastructure, mainly AWS Aurora RDS, both MySQL and Postgres.
  • Experience with data engineering, data pipelines and data warehousing.
  • Experience with CI/CD pipelines and deploying containerized microservices in Kubernetes.
  • Familiarity with AI developer tooling like Claude Code, Gemini CLI, Codex, Cursor and using it to be a more productive engineer.
  • Track record of shipping commercial APIs and data-driven applications in high-growth environments.
  • Proven leadership in guiding technical direction, improving system reliability, and scaling high-traffic services.

RESPONSIBILITES

  • Architect, upgrade, design, and build scalable infrastructure solutions leveraging Kubernetes, AWS, RDS (MySQL/Postgres), and modern distributed patterns.
  • Help drive the infrastructure team’s roadmap, leading us to higher levels of reliability, recoverability, and scalability.
  • Drive capacity planning, benchmarking, and work with the team to stress test our systems, find bottlenecks, and prepare for further growth in the business.
  • Define, maintain and enforce SLAs and alerts across our infrastructure.
  • Lead the teams towards stronger signal anomaly detection, better, more flexible alerting.
  • Help Lead Sezzle’s AI enablement efforts, identifying opportunities to apply AI and automation to enhance infrastructure reliability, developer productivity, and internal tooling.
  • Build in consistency and scalability across a distributed microservices architecture while maintaining performance and reliability.
  • Establish and evolve engineering best practices for observability, security, and CI/CD across teams.
  • Mentor engineers and champion a culture of learning, innovation, and operational excellence.
  • Collaborate cross-functionally to translate business goals into technical roadmaps and deliver results that matter.

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