Senior Site Reliability Engineer

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

📋 Description

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

• Propel the infrastructure team's roadmap towards enhanced reliability, recoverability, and scalability.

• Execute capacity planning, benchmarking, and stress testing to pinpoint bottlenecks and prepare systems for business expansion.

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

• Spearhead improvements in anomaly detection and adaptable alerting.

• Direct AI enablement initiatives by integrating AI and automation into infrastructure reliability, developer productivity, and internal tools.

• Create consistency and scalability within a distributed microservices architecture while ensuring performance and reliability.

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

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

• Collaborate across functions to align business objectives with technical roadmaps and achieve results.

⛳️ Requirements

• Over 12 years of professional experience in software engineering or infrastructure engineering, including extensive SRE and backend experience.

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

• Strong expertise in Golang.

• Proven experience in building and maintaining RESTful APIs.

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

• Skilled in optimizing database schemas and queries for performance at scale.

• Experienced with observability tools such as Prometheus, Grafana, Datadog, or New Relic.

• Knowledgeable in distributed systems design patterns, including transactional outbox, event-driven architecture, stream processing, and queues.

• Capable of presenting innovative ideas, influencing decisions, and leading complex technical projects.

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

• Preferred: Experience with AWS cloud infrastructure, particularly AWS Aurora RDS for MySQL and Postgres.

• Preferred: Background in data engineering, data pipelines, and data warehousing.

• Preferred: Familiarity with CI/CD pipelines and containerized microservices in Kubernetes.

• Preferred: Knowledge of AI developer tools such as Claude Code, Gemini CLI, Codex, and Cursor.

• Preferred: Experience with commercial APIs and data-driven applications in high-growth settings.

• Preferred: Leadership experience in technical direction, system reliability, and scaling high-traffic services.

• Familiarity with Golang, Typescript, Python, MySQL, Postgres, Elasticsearch, AWS, Kubernetes, Git, GitLab CI/CD, and automated end-to-end, integration, and unit testing.

🏝️ Benefits

• Competitive salary ranging from $7000 to $12000 USD per month.

• Opportunities for career advancement.

• High level of autonomy and authority.

• Fast-paced and dynamic team environment.

• Culture fostering learning, innovation, and operational excellence.

• Engineering environment focused on open-source initiatives.