Senior Database Reliability Engineer

This is a fully remote position, open to applicants in Turkey.

📋 Description

• Design, upgrade, architect, and construct scalable infrastructure solutions utilizing Kubernetes, AWS, RDS (MySQL/Postgres), and contemporary distributed patterns.

• Contribute to the infrastructure team’s roadmap aimed at enhancing reliability, recoverability, and scalability.

• Oversee capacity planning and benchmarking; conduct stress tests on systems, pinpoint bottlenecks, and prepare for business expansion.

• Define, uphold, and enforce SLAs and infrastructure alerts.

• Guide teams towards improved anomaly detection signals and more adaptable alerting mechanisms.

• Spearhead Sezzle’s AI enablement initiatives by integrating AI and automation into infrastructure reliability, developer productivity, and internal tools.

• Develop consistency and scalability across a distributed microservices architecture while ensuring performance and reliability.

• Establish and advance engineering best practices in observability, security, and CI/CD.

• Mentor engineers and promote learning, innovation, and operational excellence.

• Collaborate across departments to translate business objectives into technical roadmaps and achieve results.

⛳️ Requirements

• A minimum of 6 years of professional experience in software or infrastructure engineering, with substantial SRE and backend expertise.

• Recently deployed significant changes to a production application or infrastructure configuration within the last 30 days.

• Strong expertise in Golang.

• Experience in building and maintaining RESTful APIs.

• Proficient with SQL-based RDBMS, particularly MySQL and PostgreSQL.

• Experience in optimizing schemas and queries for performance at scale.

• Familiarity with observability tools like Prometheus, Grafana, Datadog, or New Relic.

• Understanding of distributed systems design patterns, such as transactional outbox, event-driven architecture, stream processing, and queues.

• Ability to propose new ideas, impact decisions, and lead complex technical initiatives.

• Proven experience with Claude or similar large language model tools is essential.

• Bachelor’s degree in Computer Science or equivalent practical experience.

• Availability for consistent work from 6:00 AM to 2:00 PM EST.

• Preferred: Experience with AWS cloud infrastructure, AWS Aurora RDS, data engineering, data pipelines, data warehousing, CI/CD pipelines, Kubernetes containerized microservices, AI developer tooling, commercial APIs, data-driven applications, technical leadership, and scaling high-traffic services.

🏝️ Benefits

• Competitive salary ranging from $5,000 to $9,500 USD per month.

• Opportunities for career advancement.

• High level of autonomy and authority.

• Fast-paced and dynamic team environment.

• Chance to work with AI tooling and play a role in AI enablement efforts.

• Remote work options available.