Senior Site Reliability Engineer

Role Overview

• Support multiple Diligent datacentres and deployments in the Cloud (AWS, Azure, GCP).
• Lead and improve daily operational processes across production environments.
• Contribute to incident management and response efforts, conduct root cause analysis and lead retrospective reviews for all Diligent applications.
• Build self-service tools and automation pipelines to enhance developer productivity and system reliability.
• Drive observability, cost optimization, and security best practices across cloud environments.
• Collaborate with engineering and SRE teams to improve system performance, maintainability, and scalability.
• Ensure high availability and fault tolerance of cloud services through proactive monitoring and automation.

Requirements

• 5 years of professional experience in Software Engineering, DevOps, or Site Reliability Engineering.
• Provide support to development teams on monitoring, scalability, and reliability.
• Intermediate-level experience with AWS, including services like EC2, Lambda, ECS, Fargate, S3, IAM, VPC, Route 53, RDS, DynamoDB, and CloudWatch.
• Experience with Infrastructure as Code (IaC) using Terraform, Terraform CDK or AWS CDK.
• Proficiency in designing, implementing, and testing scalable software architectures.
• Strong automation and scripting abilities for operational workflows and cloud infrastructure.
• Demonstrated experience using AI tools to accelerate engineering workflows (code generation, test writing, documentation, RCA analysis)
• Familiarity with LLM APIs and prompt engineering for automation tasks
• Experience with building AI-assisted runbooks, alert triage, or auto-remediation workflows
• Ability to critically evaluate AI-generated code and configurations for correctness, security, and operational risk
• Excellent problem-solving skills.
• Practical use of AI coding assistants (GitHub Copilot, Cursor) in day-to-day engineering
• Experience with Kubernetes (EKS, Fargate, or Rancher).
• Familiarity with monitoring and observability tools like OpenSearch (Elastic), SignalFX, or AWS-native services.
• Experience with event-driven architectures and serverless computing.
• Intermediate-level Object-Oriented Programming (OOP) skills, with experience in TypeScript or Python.
• Good working experience for a wide range of technologies, frameworks, and platforms such as AWS Cloud, Windows, Linux, and Kubernetes.

Tech Stack

• AWS
• Azure
• Cloud
• DynamoDB
• EC2
• Google Cloud Platform
• Kubernetes
• Linux
• Python
• Terraform
• TypeScript

Benefits

• N/A