Site Reliability Engineer

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

📋 Description

• Develop dependable and observable systems that empower client teams to operate confidently at scale.

• Take ownership of system reliability across AWS infrastructure and Python services.

• Design and sustain observability systems, establish SLAs and error budgets, and create incident response protocols.

• Engage in 24/7 P0 on-call rotations with a 10-minute acknowledgment SLA.

• Lead investigations into incidents, conduct root-cause analyses, and facilitate postmortems.

• Enhance uptime, performance, capacity planning, and reliability improvements.

• Mentor and onboard additional SRE engineers as the team expands.

• Develop self-healing automation to minimize operational toil.

• Collaborate with developers, platform engineers, operations teams, clients, and leadership.

• Support operational reliability requirements for AI applications and services.

• Create runbooks, architecture documentation, and troubleshooting guides.

• Review infrastructure modifications and contribute to reliability standards.

• Optimize systems for latency, throughput, and resource efficiency.

⛳️ Requirements

• Over 6 years of hands-on experience in SRE, DevOps, or Platform Engineering at scale.

• Strong expertise in one cloud platform; extensive AWS knowledge, including ALB, ECS/Fargate, RDS Aurora, Lambda, and IAM.

• Experience in production Python backend engineering, including debugging and optimizing Python services in containers and Lambdas.

• Participation in on-call rotations with support responsibilities during and after business hours.

• Experience in building or establishing SRE programs from the ground up.

• Practical experience with incident response, on-call rotations, postmortems, and SLOs.

• Extensive knowledge in designing and implementing observability, including metrics, logging, tracing, and alerting.

• Familiarity with containerization using Kubernetes and Docker, as well as deployment automation.

• Experience in maintaining infrastructure-as-code using Terraform, CloudFormation, Pulumi, or similar tools.

• Practical experience with CI/CD pipelines and deployment strategies.

• Ability to troubleshoot distributed systems and complex production failures.

• Strong communication skills with the ability to articulate reliability trade-offs to stakeholders.

• Proficiency in scripting languages such as Python, Bash, and Go; basic knowledge of Linux/Unix administration.

• Experience with version control using Git, collaboration workflows, and infrastructure automation patterns.

• Availability for regular working sessions and discovery workshops with client teams.

• Daily overlap with client business hours.

• Access to reliable high-speed internet.

🏝️ Benefits

• Fully remote work environment.

• Opportunity to work with modern cloud platforms, Kubernetes, infrastructure-as-code, and observability.

• Opportunities to provide guidance to leadership on reliability strategy.

• Collaboration with global teams and client teams.

• Professional mentoring and onboarding opportunities.

• Work on AI applications and services.

• A winning squad culture that celebrates success.