Senior SRE — Remote, AI-Driven Infra

Devopsroles

Turkey

Remote

TRY 2,764,000 - 5,251,000

Full time

14 days+

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Job summary

Sezzle is seeking a Senior Site Reliability Engineer to own infrastructure, deployments, and reliability across Kubernetes, AWS, and distributed microservices. You will have autonomy to drive improvements and leverage AI tooling to boost productivity and reliability.

The role requires 6+ years in software or infrastructure, strong Golang and SQL skills, and experience with observability tools. Based in Türkiye, you will collaborate with US/Canada teams and align with EST hours.

Qualifications

6+ 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.
Demonstrated experience working with Claude or equivalent large language model tools is required; candidates must be comfortable leveraging AI to enhance productivity, research, and communication.

Responsibilities

Architect, upgrade, design, and build scalable infrastructure solutions leveraging Kubernetes, AWS, RDS (MySQL/Postgres).
Help drive the infrastructure team’s roadmap toward higher reliability and scalability.
Drive capacity planning, benchmarking, and stress testing; identify bottlenecks for growth.
Define, maintain and enforce SLAs and alerts across infrastructure.
Lead the teams towards stronger signal anomaly detection and flexible alerting.
Lead AI enablement efforts to apply AI and automation for reliability and productivity.
Build consistency and scalability across a distributed microservices architecture.
Establish and evolve engineering best practices for observability, security, and CI/CD.
Mentor engineers and promote learning and operational excellence.
Collaborate cross-functionally to translate business goals into technical roadmaps.