Site Reliability Engineer

Site Reliability Engineer Overview

• The Site Reliability Engineer ensures the reliability, scalability, and performance of the client’s payment processing platform.
• Apply engineering principles to operational challenges, automating tasks and enhancing system resilience.
• Collaborate with cross-functional teams to embed reliability into application design and deployment practices.
• Operate and optimize AWS infrastructure, ensuring secure and scalable environments.
• Monitor and improve database operations, addressing performance issues and scaling for growth.
• Develop observability stacks to monitor system health and drive reliability improvements.
• Participate in incident response, maintaining runbooks and escalation paths for swift resolutions.
• Work remotely with opportunities for collaboration and professional growth.

Site Reliability Engineer Key Responsibilities & Duties

• Read, debug, and contribute to production C#/.NET code for reliability enhancements.
• Optimize AWS workloads using EC2 Auto Scaling, ECS Fargate, and Lambda services.
• Automate deployment pipelines and disaster recovery procedures to reduce operational toil.
• Manage RDS SQL Server deployments, ensuring failover readiness and performance optimization.
• Build observability stacks using CloudWatch metrics, AWS X-Ray, and structured logging.
• Design secure AWS network topologies, configuring VPCs, subnets, and security groups.
• Conduct root cause analysis for incidents and lead post-mortems to capture lessons learned.
• Collaborate with engineering teams to share best practices and mentor on SRE principles.

Site Reliability Engineer Job Requirements

• Bachelor’s degree in Computer Science, Engineering, or equivalent experience.
• 4+ years in SRE, DevOps, or systems-focused engineering roles.
• Proficiency in C#/.NET, AWS compute services, and RDS SQL Server operations.
• Experience with infrastructure-as-code tools like CloudFormation or CDK.
• Strong scripting skills in PowerShell, Python, or Bash for automation.
• Knowledge of AWS networking, security configurations, and observability tools.
• Preferred experience in fintech, payments, or high-transaction environments.
• Openness to leveraging AI tools for diagnostics and workflow improvement.