Site Reliability Engineer

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

📋 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 while defining SLAs, SLOs, error budgets, and monitoring strategies.

• Manage a 24/7 P0 on-call rotation with a 10-minute acknowledgment SLA.

• Validate and escalate AI-generated incident reports to platform teams.

• Set reliability standards and SLA targets for backend services.

• Lead incident investigations, troubleshooting, root-cause analysis, and postmortems.

• Implement enhancements for reliability, capacity planning, and performance optimization.

• Develop self-healing automation and initiatives aimed at reducing toil.

• Collaborate with cross-functional teams to weave reliability and observability into delivery processes.

• Support AI applications and services alongside their operational reliability requirements.

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

• Create runbooks, architecture documentation, and troubleshooting guides.

• Review infrastructure changes and contribute to the establishment of reliability standards.

• Optimize systems for latency, throughput, and resource efficiency utilizing observability data.

• Coordinate efforts with security, platform, development, client, and Modus teams.

⛳️ Requirements

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

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

• Production experience in Python backend engineering, including debugging and optimizing Python services within containers and Lambdas.

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

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

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

• Profound experience in designing and implementing observability, including metrics, logging, tracing, and alerting.

• Understanding of containerization technologies, including Kubernetes and Docker, along with deployment automation.

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

• Hands-on experience with CI/CD pipelines and deployment methodologies.

• Ability to troubleshoot distributed systems and navigate complex production failures.

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

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

• Familiarity with version control using Git, collaboration workflows, and infrastructure automation practices.

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

• Capacity to work independently while collaborating with client and Modus leaders.

• Daily overlap with client business hours.

• Reliable high-speed internet connection.

• Bonus: experience with internal developer platforms, chaos engineering, cloud security and compliance, AI infrastructure or LLM serving, mentoring, FinOps, AI-generated incident reports, Python performance tuning, or high-growth SRE programs.

🏝️ Benefits

• Fully remote work environment.

• Global, collaborative workspace.

• Opportunities to mentor and onboard new SRE engineers.

• Opportunities to provide guidance to leadership on reliability strategy.

• Work with modern cloud platforms, Kubernetes, infrastructure-as-code, and observability.

• Direct influence on system uptime, performance, and operational efficiency.

• Collaboration with client and Modus teams.

• Support for learning from incidents and fostering continuous improvement.