Responsibilities

• Establish and evolve SRE best practices across the organization, including reliability principles, error budgets, incident response, postmortems, and operational readiness standards.
  
  
• Define and drive observability strategy for system health, performance, and reliability, including SLIs/SLOs, alerting quality, dashboards, and service health indicators.
  
  
• Design and implement software-driven solutions within the infrastructure domain, automating manual processes and eliminating operational complexity and toil.
  
  
• Act as a technical leader and force multiplier, helping set priorities and influencing decision-making across core cloud infrastructure, reliability tooling, and platform architecture.
  
  
• Take ownership of large, ambiguous initiatives, driving them from concept to delivery while aligning stakeholders across engineering, security, and product.
  
  
• Combine deep knowledge of software development, infrastructure, and security to improve platform resilience, scalability, performance, and compliance.
  
  
• Proactively identify systemic risks and reliability gaps, recommending and leading platform upgrades and architectural improvements before they become incidents.
  
  
• Partner with engineering teams to improve developer workflows, tooling, and operational maturity, increasing productivity while reducing cognitive load.
  
  
• Provide technical mentorship, architecture guidance, and high-quality design and code reviews for engineers across infrastructure and product teams.
  
  
• Lead by example in documentation and knowledge sharing, ensuring systems and processes are well-understood and not dependent on individual ownership.
  
  
• Participate in and help mature incident response, escalation practices, and post-incident learning across the organization.
  
  

Desired Experience

• Bachelor’s or Master’s degree in Computer Science or equivalent practical experience.
  
  
• 7+ years of experience in site reliability engineering, infrastructure engineering, or platform engineering roles, with demonstrated impact at scale.
  
  

Reliability & Troubleshooting

• Expert-level, methodical troubleshooting across the entire stack, from application to kernel to network.
  
  
• Strong command-line proficiency and deep expertise in Linux systems and operating system fundamentals.
  
  
• Advanced understanding of networking concepts including load balancing, proxies, DNS, TCP/IP, NAT, and service-to-service communication.
  
  

Software & Automation

• Experience working across multiple languages (e.g., Python, Go, Bash, and familiarity troubleshooting application stacks such as React or similar).
  
  
• Strong track record of automating repetitive and complex operational work to reduce toil and increase reliability.
  
  
• Ability to design and build internal tools (Python or Go) that standardize and scale engineering practices.
  
  
• Comfortable operating in an agile environment, with disciplined testing and quality practices.
  
  

Cloud & Platform Engineering

• Deep experience with cloud platforms (AWS preferred, GCP/Azure acceptable), particularly managed services and production-grade architectures.
  
  
• Strong expertise in Kubernetes and container orchestration (EKS, Helm), including lifecycle management and operational best practices.
  
  
• Proven experience designing and implementing observability systems, including metrics, logging, tracing, dashboards, and alerting.
  
  
• Deep understanding of container technologies, security scanning, secrets management, dynamic configuration, and microservices architectures.
  
  
• Familiarity with service meshes and advanced traffic management concepts.
  
  

Infrastructure as Code

• Experience designing and maintaining company-wide IaC codebases using tools such as Terraform, Pulumi, CloudFormation, or Ansible.
  
  
• Ability to think holistically about infrastructure design, cost, reliability, security, and long-term maintainability.