Site Reliability Engineer

Take ownership of the reliability, performance, and scalability of production systems supporting complex digital platforms and AI-powered applications. In this hands-on role, you will work alongside developers, platform engineers, and operations teams to build resilient infrastructure and prevent incidents before they affect users. You will oversee reliability across AWS infrastructure and Python backend services, establishing observability practices, service-level objectives, and effective incident response processes. Through automation, performance optimization, and continuous improvement, you will help teams move from reactive troubleshooting to proactive reliability engineering. You will also contribute to technical strategy, document operational best practices, and mentor engineers as the SRE function expands. This remote contract opportunity is ideal for an experienced reliability professional who enjoys solving challenging infrastructure problems and making a measurable impact on system availability and operational efficiency.

The ideal candidate brings substantial hands-on experience in reliability, DevOps, or platform engineering, combined with strong software troubleshooting skills and the ability to collaborate effectively in distributed teams. The following qualifications are required:

• At least 6 years of hands-on experience in Site Reliability Engineering, DevOps, or Platform Engineering in production environments at scale.

• Deep expertise in AWS, including ALB, ECS/Fargate, RDS Aurora, Lambda, and IAM.

• Production-level Python backend engineering experience, including debugging and optimizing services deployed in containers and serverless environments.

• Experience establishing or building an SRE program from the ground up.

• Practical experience with incident response, on-call rotations, root-cause analysis, postmortems, and service-level objectives.

• Strong knowledge of observability systems, including metrics, logging, distributed tracing, monitoring, and alerting.

• Solid understanding of containerization technologies such as Docker and Kubernetes.

• Experience writing and maintaining infrastructure-as-code using tools such as Terraform, CloudFormation, or Pulumi.

• Hands-on experience with CI/CD pipelines, deployment automation, and modern release strategies.

• Demonstrated ability to troubleshoot distributed systems and investigate complex production failures.

• Proficiency in scripting with Python, Bash, or Go, alongside sound Linux/Unix administration fundamentals.

• Experience with Git, collaborative development workflows, and infrastructure automation patterns.

• Strong analytical and problem-solving skills, with the ability to identify reliability risks and implement sustainable solutions.

• Clear communication skills and the ability to explain technical decisions and reliability trade-offs to both engineering teams and business stakeholders.

• Ability to work independently while collaborating closely with client teams and technical leadership.

• Availability to participate in on-call support during and outside standard business hours, including the required 24/7 P0 rotation.

• Ability to overlap with client business hours daily and participate in regular working sessions and discovery workshops.

• Reliable, high-speed internet suitable for remote engineering work.

• Experience designing or operating internal developer platforms.

• Familiarity with chaos engineering, resilience testing, and failure scenario planning.

• Knowledge of cloud security, security hardening, compliance, and audit readiness.

• Experience operating AI infrastructure, large language model (LLM) serving environments, or agentic systems.

• Experience mentoring junior engineers or leading technical design discussions.

• Familiarity with cloud cost optimization and FinOps practices.

• Experience validating AI-generated incident reports and developing associated review workflows.

• Advanced Python performance tuning and backend optimization skills.

• Experience building SRE programs in high-growth or rapidly scaling environments.