Senior Site Reliability Engineer (Remote)

Job summary

As a Senior Site Reliability Engineer, you will work autonomously on complex reliability and platform challenges, taking ownership of feature planning and execution within the SRE/Platform domain. You will enhance the platform's architecture and reliability strategy, translating vague requirements into effective, maintainable solutions while collaborating with product and security teams in a fully remote environment.

Qualifications

• Extensive experience in Site Reliability Engineering, DevOps, or Platform Engineering.
• Proficient in Kubernetes, including operating and scaling production clusters and container tooling (Docker).
• Experience in building and managing cloud infrastructure, preferably on AWS or similar platforms.
• Strong skills in infrastructure-as-code using Terraform.
• Familiarity with reliability frameworks such as SLOs, SLIs, and alerting strategies.
• Background in observability tools like OpenTelemetry and Grafana/Prometheus.
• Proficient in CI/CD tools (e.g., GitLab CI, GitHub Actions) and deployment automation.
• Comfortable with programming in Golang and Bash; broader programming knowledge is a plus.
• Practical experience using AI in infrastructure and operations work.
• Excellent communication skills, particularly in an asynchronous global setting.
• Proactive and curious, with a strong sense of ownership.
• Ability to collaborate respectfully across diverse cultures and time zones.

Responsibilities

• Lead the discovery and delivery of solutions for reliability and infrastructure challenges.
• Contribute to the platform's architecture and tooling, influencing team priorities.
• Define and operate reliability practices, taking responsibility for operational metrics.
• Address cross-team requests and develop reusable solutions for recurring issues.
• Integrate AI workflows into team operations, creating reusable prompts and tools.
• Mentor junior engineers and participate in hiring and onboarding processes.
• Collaborate with security teams on platform hardening and threat mitigation.
• Engage in incident response and on-call rotations to maintain system reliability.

Skills

• Strong experience with Kubernetes and cloud infrastructure management.
• Proficiency in infrastructure-as-code and observability tools.
• Familiarity with CI/CD practices and programming languages.
• Experience in AI applications within infrastructure and operations.

Education

• Relevant degree or equivalent experience in a related field is preferred.

Tools

• Kubernetes, Docker, AWS, Terraform, OpenTelemetry, Grafana, Prometheus, GitLab CI, GitHub Actions.