Sr. Site Reliability Engineer

Sr. SRE Engineer

We are currently seeking an SRE Engineer to join a highly visible enterprise engineering team focused on production reliability, operational automation, and platform resiliency.

This is a true Software Engineering-focused Site Reliability Engineering (SRE) role — not a traditional infrastructure support, operations, or system administration position.

The ideal candidate is a strong software engineer first, with deep experience building automation, improving reliability, and applying engineering principles to operational challenges within large-scale enterprise environments.

Position Overview

The team is responsible for:

• Production system reliability
• Supporting the software development lifecycle
• Maintaining highly available and resilient systems
• Monitoring, alerting, observability, and automation initiatives
• Driving permanent engineering solutions instead of temporary operational fixes

This Role Will Focus Heavily On

• Reducing operational toil through automation
• Building self-healing and auto-remediation capabilities
• Improving deployment reliability and production stability
• Supporting SLOs, error budgets, and observability standards
• Leveraging AI-assisted engineering and operational tooling

Key Responsibilities

• Design, develop, and operate automation platforms supporting CI/CD pipelines
• Develop backend automation services primarily using Python and Go
• Build automation to eliminate repetitive operational work
• Create self-healing and auto-remediation solutions
• Improve production reliability, scalability, and operational efficiency
• Implement monitoring, observability, and reliability standards
• Collaborate across engineering, infrastructure, and application teams to improve deployment quality and platform resilience
• Support AI-assisted tooling initiatives and agentic operational frameworks
• Manage cloud and hybrid infrastructure environments including Azure and on-prem/private cloud platforms
• Utilize Infrastructure-as-Code (IaC) tools including Terraform and Ansible
• Support Kubernetes and Docker-based container orchestration environments

Required Qualifications

• Strong software engineering and development background
• Experience automating operational workflows within enterprise environments
• Strong proficiency with:
• Python
• Go
• Experience working within:
• Cloud-native environments
• Kubernetes and containerized platforms
• AWS and/or Azure
• CI/CD automation frameworks
• Monitoring and observability tooling
• Experience with:
• GitLab
• Jira
• Logging and telemetry platforms
  

Preferred Qualifications

• Java development experience
• Terraform and Infrastructure-as-Code expertise
• Experience with:
• AppDynamics
• Splunk or centralized logging platforms
• ServiceNow
• Exposure to AI-assisted engineering tools such as Windsurf or Claude
  

AI & Automation Focus

The organization is actively integrating AI-driven tooling into operational engineering workflows. Candidates should have familiarity with:

• AI-assisted development and productivity tools
• Agentic workflows
• Prompt engineering concepts
• Techniques for improving AI output quality and reducing hallucinations

While AI exposure is valuable, the primary focus remains strong engineering fundamentals, operational automation, and reliability engineering expertise.

Ideal Candidate Profile

• Senior-level engineer with strong technical depth
• Excellent communication and stakeholder management skills
• Strong collaborative mindset with the ability to work cross-functionally
• Deep problem-solving and production troubleshooting abilities
• Comfortable operating across multiple teams, applications, and business domains
• Experience working within large enterprise and regulated environments preferred

If you are interested in building scalable automation, improving production reliability, and helping drive the future of AI-assisted operational engineering, please apply directly or message me for additional details.