Site Reliability Engineer

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

📋 Description

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

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

• Design and uphold observability systems while defining SLAs, SLOs, error budgets, and monitoring strategies.

• Establish incident response procedures and engage in 24/7 P0 on-call rotations with a 10-minute acknowledgment SLA.

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

• Lead investigations into incidents, including troubleshooting, root-cause analysis, and conducting postmortems.

• Set reliability standards and SLA targets for backend services.

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

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

• Develop self-healing automation and initiatives to reduce toil.

• Collaborate with cross-functional teams, including client, security, platform, and development teams.

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

• Create runbooks, architectural documentation, and troubleshooting guides.

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

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

• Provide guidance to leadership on reliability strategies and operational excellence.

⛳️ Requirements

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

• Strong expertise in one cloud platform, with deep knowledge of AWS, 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 duties during and post business hours.

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

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

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

• Solid understanding of Kubernetes, Docker, and deployment automation.

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

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

• Proficient in troubleshooting distributed systems and complex production failures.

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

• Scripting proficiency in Python, Bash, or Go.

• Understanding of Linux/Unix administration fundamentals.

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

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

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

• Daily overlap with client business hours.

• Reliable high-speed internet connection.

• Ability to document solutions, share insights, and contribute to internal wikis and runbooks.

• Capability to pair program and work collaboratively on complex reliability and operational challenges.

• Willingness to participate in code and architecture reviews.

• Ability to coordinate with security, platform, and development teams.

🏝️ Benefits

• Fully remote work environment.

• Requirement for reliable high-speed internet and necessary equipment.

• Opportunities to learn from incidents and enhance systems continuously.

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

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

• Collaboration with enterprise teams and contribution to SRE best practices.