Principal Site Reliability Engineer (AI)

TL;DR

Principal Site Reliability Engineer (AI): Architecting and building scalable infrastructure solutions leveraging Kubernetes, AWS, RDS (MySQL/Postgres), and modern distributed patterns with an accent on high levels of reliability, recoverability, and scalability. Focus on applying AI and automation to enhance infrastructure reliability and developer productivity.

Location: Remote

Salary: $7000 - $12000 per month (Gross in USD)

Company

hirify.global is revolutionizing the shopping experience beyond payments, blending cutting-edge tech with seamless, interest-free installment plans that make shopping smarter and more accessible.

What you will do

• Architect, upgrade, design, and build scalable infrastructure solutions leveraging Kubernetes, AWS, RDS (MySQL/Postgres), and modern distributed patterns.
• Drive capacity planning, benchmarking, and work with the team to stress test systems.
• Define, maintain, and enforce SLAs and alerts across the infrastructure.
• Lead the team towards stronger signal anomaly detection and flexible alerting.
• Help Lead hirify.global’s AI enablement efforts, identifying opportunities to apply AI and automation to enhance infrastructure reliability, developer productivity, and internal tooling.
• Establish and evolve engineering best practices for observability, security, and CI/CD across teams.

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

Nice to have

• 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.

Culture & Benefits

• Are more than just brilliant engineers, passionate data enthusiasts, out-of-the-box thinkers, and determined innovators.
• Believe in surrounding ourselves with not only the best and the brightest individuals, but those that are unique and purpose-driven in all that they do.
• Culture is not defined by a certain set of perks designed to give the illusion of the traditional startup culture, but rather, it is the visible example living in every employee that we hire.