Full-Time Site Reliability Engineer

• Drive Operational Excellence: Design, implement, and maintain highly available, scalable, and resilient systems.
• Datadog Expert: Define, implement, and enforce best practices for monitoring, alerting, logging, tracing, and synthetic testing across our entire AWS environment.
• Software Development for Reliability: Develop robust, well-tested, and maintainable software and tooling to automate operational tasks.
• Toil Reduction Champion: Identify and eliminate toil through automation, process improvements, and systematic problem-solving.
• Incident Management & Post-Mortems: Contribute to and evolve our incident response framework, participating in on-call rotations (using OpsGenie).
• Reliability Metrics & Goals: Collaborate with engineering teams to define, implement, and track Service Level Indicators (SLIs), Service Level Objectives (SLOs), and Error Budgets.
• Infrastructure as Code: Leverage and contribute to our infrastructure as code (IaC) efforts, moving towards a fully automated environment using Terraform and GitHub Actions.
• System Design & Architecture: Provide SRE expertise in system design reviews, influencing architectural decisions.
• Knowledge Sharing & Mentorship: Document processes, build runbooks, and share your expertise.

• 5+ years of direct Site Reliability Engineering (SRE) experience or equivalent experience in a production engineering role focused on system reliability.
• Deep expertise and hands-on experience with Datadog.
• Strong software development proficiency in Python (required).
• Experience with Golang (desired).
• Solid understanding of cloud-native architectures and best practices, specifically within AWS (EKS, Load Balancers, Aurora RDS Serverless Postgres, S3, Secrets Manager, MSK, Bedrock, SageMaker, Route53).
• Experience with containerization and orchestration technologies, particularly Kubernetes (EKS).

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