Site Reliability Engineer

Essential Job Duties and Responsibilities

• Partner with engineering, DevOps, and product teams to understand system requirements, communicate reliability best practices, and embed a culture of shared ownership. Strong communication, empathy, and influence are key to success.
• Lead incident response efforts, facilitate root cause analysis, and drive continuous improvements post-incident. Requires composure under pressure, clear decision-making, and the ability to bring teams together in critical moments.
• Identify opportunities to reduce manual work by building and maintaining internal tools and automation pipelines. Emphasizes problem-solving, initiative, and a continuous improvement mindset.
• Leverage DataDog to enhance system visibility, improve alerting strategies, and ensure observability across services. Requires proactive thinking, a focus on end-user impact, and the ability to coach teams on effective usage of monitoring tools.
• Develop and maintain documentation including runbooks, service readiness guides, and knowledge articles to support operational excellence. Strong written communication and a focus on clarity are essential.
• Collaborate with teams to support scaling initiatives and optimize system performance using data-informed insights. Requires strategic thinking, collaboration, and attention to long-term growth needs.

Required Skills, Knowledge and Abilities

• Solid understanding of the Software Development Lifecycle (SDLC), including source control, defect tracking, automated build systems, and production control processes
• Strong knowledge of CI/CD and DevOps principles, tools, and integrations
• Hands-on experience with Amazon Web Services (AWS), including services such as DynamoDB, CloudFormation, CloudFront, S3, Route53, Lambda, and YAML configuration
• Proficiency with containerization and serverless technologies
• Experience with infrastructure as code tools, particularly Terraform and Kubernetes
• Strong understanding of observability concepts, including tracing, structured logging, and metrics
• Experience using application and infrastructure monitoring tools—specifically DataDog—to ensure system health and performance
• Familiarity with designing and implementing self-healing, fault-tolerant, and autoscaling systems
• Experience working with SQL and relational databases; familiarity with MongoDB Cloud Atlas is a plus
• Proficiency with Git and source control workflows; understanding of change management best practices
• Demonstrated problem-solving and analytical skills in fast-paced environments
• Excellent verbal and written communication skills, with the ability to explain complex technical topics to both technical and non-technical stakeholders
• Self-motivated with a strong sense of ownership, accountability, and follow-through