Site Reliability Engineer

Who you are

• 6+ years hands-on experience in SRE, DevOps, or Platform Engineering at scale
• Strong proficiency in one cloud platform: Deep AWS expertise (ALB, ECS/Fargate, RDS Aurora, Lambda, IAM)
• Production Python backend engineering experience; comfortable debugging and optimizing Python services in containers and Lambdas
• Experience building or bootstrapping SRE programs from scratch
• Hands-on experience with incident response, on-call rotations, postmortems, and SLOs
• Deep experience designing and implementing observability (metrics, logging, tracing, alerting)
• Solid understanding of containerization (Kubernetes, Docker) and deployment automation
• Experience writing and maintaining infrastructure-as-code (Terraform, CloudFormation, Pulumi, etc.)
• Hands-on experience with CI/CD pipelines and deployment strategies
• Ability to troubleshoot distributed systems and production issues with debugging complex failures
• Clear communication skills and the ability to explain reliability trade-offs to stakeholders
• Scripting proficiency (Python, Bash, Go); Linux/Unix administration fundamentals
• Version control (Git), collaboration workflows, and infrastructure automation patterns
• Experience designing or operating internal developer platforms
• Familiarity with chaos engineering, resilience testing, or failure scenario planning
• Cloud security and compliance experience (audit readiness, security hardening)
• Experience with AI infrastructure, LLM serving, or agentic system operations
• Mentoring junior engineers or leading technical design discussions
• Cost optimization and cloud FinOps practices
• Experience with AI-generated incident reports and validation workflows
• Python performance tuning and backend optimization
• Building SRE programs in high-growth or fast-scaling environments

What the job involves

• We are seeking an experienced Site Reliability Engineer to build reliable, observable systems that enable client teams to operate with confidence at scale
• You'll work embedded within cross-functional teams—partnering with developers, platform engineers, and operations teams—to reduce toil, improve system reliability, and prevent incidents before they impact users
• As a Senior Site Reliability Engineer, you take ownership of system reliability across our full backend stack—from AWS infrastructure (ALB, ECS/Fargate, Aurora) to Python services
• You design and maintain observability systems, define SLAs and error budgets, build incident response processes, and drive improvements in uptime and performance
• You'll participate in 24/7 P0 on-call rotations with a 10-minute acknowledgment SLA, lead incident investigations and postmortems, and help teams shift from reactive firefighting to proactive reliability engineering
• You'll also mentor and onboard additional SRE engineers as the team scales from 4 to 8-12 over the coming months
• The Site Reliability Engineer will work shoulder-to-shoulder with cross-functional teams to ensure systems remain resilient, scalable, and observable across client environments
• You'll also have opportunities to advise leadership on reliability strategy and help shape how organizations approach operational excellence
• Design observability systems (metrics, logging, tracing) and define SLOs, error budgets, and monitoring strategies aligned with business needs
• Own 24/7 P0 on-call rotation with 10-minute acknowledgment SLA; validate and escalate AI-generated incident reports to platform teams
• Establish reliability standards and SLA targets for backend services
• Mentor and onboard additional SRE engineers as team scales to 8-12
• Participate in incident response, troubleshooting, root-cause analysis, and postmortems
• Implement reliability improvements, capacity planning, and performance optimization
• Build self-healing automation and toil-reduction initiatives to minimize manual operational work
• Collaborate with teams to integrate reliability and observability into delivery
• Support modern workloads including AI applications and services; understand their operational and reliability requirements
• Create runbooks, architecture documentation, and troubleshooting guides to enable independence
• Review infrastructure changes and contribute to reliability standards and consistency
• Actively tune systems for latency, throughput, and resource efficiency based on observability data
• Availability for regular working sessions and discovery workshops with client teams
• Ability to work independently while collaborating with client & Modus leaders
• Overlap with client business hours daily is expected
• Reliable high-speed internet is a must
• Documenting solutions, sharing learnings with the team, contributing to internal wikis and runbooks
• Pair program and collaborate on complex reliability and operational problems
• Welcome code and architecture reviews; seek input on reliability designs
• Ability to coordinate with security, platform, and development teams on reliability and operations
• You’ll Love
• Learn from every incident and continuously improve systems
• Solve challenging reliability, observability, and operational problems
• Work with modern cloud platforms, Kubernetes, infrastructure-as-code, and observability
• Make a direct impact on system uptime, performance, and operational efficiency
• Collaborate with great teams and help shape enterprise reliability and SRE best practices
• Support teams operating AI applications and services reliably and safely at scale
• By joining our team, you'll be part of a winning squad that plays to each other's strengths and celebrates every success together