Senior Site Reliability Engineer

About the role

Sezzle is looking for a Senior Site Reliability Engineer to join its fast-growing, dynamic team. The role offers a high degree of autonomy to identify and resolve problems in infrastructure, deployments, operational workload and systems. It is based in Turkey but works primarily in the United States, with a fixed schedule of 6:00 AM to 2:00 PM EST.

Key responsibilities

• Architect, upgrade, design and build scalable infrastructure using Kubernetes, AWS, RDS (MySQL/Postgres) and modern distributed patterns.
• Help drive the infrastructure team's roadmap toward higher reliability, recoverability and scalability, including capacity planning, benchmarking and stress testing.
• Define, maintain and enforce SLAs and alerts, and lead the team toward better anomaly detection and flexible alerting.
• Help lead AI enablement efforts, applying AI and automation to improve reliability, developer productivity and internal tooling.
• Maintain consistency and scalability across a distributed microservices architecture while keeping performance and reliability.
• Establish and evolve engineering best practices for observability, security and CI/CD, and mentor engineers.

Required profile

• 6+ years of professional software or infrastructure engineering experience, including significant SRE and backend experience.
• Bachelor's degree in Computer Science, Engineering or a related technical field.
• Deployed significant changes to a production application or infrastructure configuration in the past 30 days.
• Experience with AWS cloud infrastructure, data engineering pipelines and data warehousing, and CI/CD pipelines with containerized microservices in Kubernetes.
• Proven leadership in technical direction, system reliability and scaling high-traffic services.
• Ability to use AI tools such as Claude or equivalent to boost productivity, research and communication.

Required skills

• Golang, with strong proficiency and experience building RESTful APIs.
• SQL databases (MySQL, PostgreSQL) and query optimization at scale.
• Observability tools: Prometheus, Grafana, Datadog, New Relic.
• Distributed systems patterns such as transactional outbox, event-driven architecture, stream processing and queues.
• Preferred: AWS Aurora RDS, CI/CD pipelines, and AI developer tooling such as Claude Code, Gemini CLI, Codex and Cursor.