Site Reliability Engineer

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

📋 Description

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

• Collaborate closely with cross-functional teams, including developers, platform engineers, and operations personnel.

• Take ownership of system reliability throughout the backend stack, which encompasses AWS infrastructure and Python services.

• Design and sustain observability systems, while establishing SLAs, SLOs, error budgets, and monitoring strategies.

• Create incident response procedures and spearhead incident investigations and postmortems.

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

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

• Set reliability standards and SLA targets for backend services.

• Mentor and onboard additional SRE engineers as the team expands from 4 to 8–12 members.

• Execute reliability enhancements, capacity planning, and performance optimization initiatives.

• Develop self-healing automation and reduce operational toil through innovative initiatives.

• Incorporate reliability and observability into delivery workflows.

• Support AI applications and services along with their operational reliability requirements.

• Produce runbooks, architectural documentation, and troubleshooting guides.

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

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

• Partner with security, platform, and development teams on matters of reliability and operations.

⛳️ Requirements

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

• Strong expertise in a single cloud platform, with extensive knowledge of AWS (ALB, ECS/Fargate, RDS Aurora, Lambda, IAM).

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

• Participation in the on-call rotation, providing support during and after business hours.

• Proven experience in building or initiating SRE programs from the ground up.

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

• In-depth experience in designing and implementing observability practices: metrics, logging, tracing, and alerting.

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

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

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

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

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

• Proficiency in scripting languages such as Python, Bash, or Go; fundamentals 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.

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

• Daily overlap with client business hours is necessary.

• Reliable high-speed internet is required.

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

🏝️ Benefits

• Fully remote work environment.

• Be part of a global remote team.

• Work in a collaborative and innovative atmosphere.

• Opportunities to mentor and onboard additional SRE engineers.

• Opportunities to provide guidance to leadership on reliability strategies.

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

• Make a direct impact on system uptime, performance, and operational efficiency.

• Collaborate with both client and Modus teams.

• Reliable high-speed internet is a requirement for remote work.