Senior Site Reliability Engineer

About this job

Sezzle is a fintech company dedicated to financially empowering the next generation by providing innovative, interest-free installment shopping experiences. The Senior Site Reliability Engineer role sits within a dynamic, fast-paced team supporting operations across the United States and Canada from a remote setup in India, working a fixed schedule of 6:00 AM to 2:00 PM EST. In this autonomous role, you act as a doer who identifies and resolves infrastructure challenges. A normal day involves designing scalable systems, optimizing operational workloads, driving AI enablement and automation efforts, enhancing observability, and collaborating cross-functionally to achieve higher levels of system reliability, recoverability, and scalability.

Responsibilities

• Architect, upgrade, design, and build scalable infrastructure solutions using Kubernetes, AWS, RDS, and distributed patterns.
• Drive the infrastructure team roadmap to achieve higher reliability, recoverability, and scalability.
• Handle capacity planning, benchmarking, stress testing, and bottleneck identification for business growth.
• Define, maintain, and enforce SLAs and alerts, improving signal anomaly detection.
• Lead Sezzle's AI enablement efforts by applying AI and automation to infrastructure reliability and developer productivity.
• Establish and evolve engineering best practices for observability, security, and CI/CD.
• Mentor engineers and promote a culture of operational excellence and innovation.

Requirements

• 6+ years of professional software or infrastructure engineering experience with SRE and backend background.
• Strong proficiency in Golang with experience building and maintaining RESTful APIs.
• Expertise in SQL-based RDBMS like MySQL and PostgreSQL with query and schema optimization skills.
• Proficiency in observability tools such as Prometheus, Grafana, Datadog, or New Relic.
• Solid understanding of distributed systems design patterns and microservices architecture.
• Demonstrated experience using Claude or equivalent large language model tools for productivity and research.
• Bachelor's degree in Computer Science, Engineering, or a related technical field.

Good to have

• Experience with AWS cloud infrastructure including AWS Aurora RDS.
• Experience with data engineering, data pipelines, and data warehousing.
• Familiarity with AI developer tooling like Claude Code, Gemini CLI, Codex, and Cursor.
• Track record of shipping commercial APIs and data-driven applications in high-growth environments.

Who should apply

This role suits experienced engineering professionals with a strong background in SRE, Golang, and cloud infrastructure who enjoy high autonomy and fast-paced execution. Ideal candidates possess high standards, a bias for action, and demonstrated experience leveraging AI tools. Freshers cannot apply as the position specifically mandates 6+ years of professional software engineering or infrastructure engineering experience.

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