Principal Associate (Site Reliability Engineering)

What You'll Do

• Build and maintain reliability tooling – observability dashboards, automated alerts, runbooks, and remediation scripts that reduce toil and improve mean time to recovery
• Develop automation solutions – using Python, Java, and shell scripting to eliminate manual operational processes, from certificate rotation to compliance artifact generation
• Troubleshoot and debug complex production issues - diagnose failures across distributed systems spanning on-prem data centers and AWS, identify root causes, and implement durable fixes
• Contribute to observability – configure and tune monitoring in Datadog and Observe, build dashboards that surface actionable signals, and reduce unactionable alert volume
• Support incident response – participate in on-call rotations, respond to production incidents, drive diagnosis, and contribute to blameless postmortems
• Leverage AI tools to accelerate engineering - use agentic AI automation (Claude Code and others) to develop solutions, generate runbook drafts, and build automation agents
• Manage secrets and certificates – automate rotation and provisioning, ensuring security posture without manual toil
• Deliver through CI/CD pipelines – build, test, and deploy automation via continuous integration and API automation frameworks

What Success Looks Like

• Independently troubleshooting and resolving production issues within your domain without escalation
• At least one operational process fully automated and running in production
• Contributing measurably to team OKRs – whether that's alert noise reduction, MTTR improvement, or settlement cycle reliability
• Producing or improving runbooks and dashboards that your teammates and partner teams actively use

The Environment

You'll work across hybrid on-prem and cloud infrastructure supporting real-time and batch financial transaction systems at global scale. The tech stack includes Python, Java, shell scripting, AWS, Kubernetes, OpenShift, CI/CD pipelines, and API automation frameworks. Observability runs on Datadog and Observe with extensive dashboard configuration. Secret management uses HashiCorp Vault. You'll use agentic AI tools (Claude Code and others) to develop automation solutions and accelerate your engineering output.

The systems span three on-prem data centers and AWS, with both modern cloud-native services and legacy payment platforms. Strong troubleshooting and debugging skills are essential.

• Professional English fluency
• Bachelor's degree
• Background in SRE, production operations, or reliability engineering
• At least 4 years of experience in DevOps Engineering (internship experience does not apply)
• 4+ years of experience in at least one of the following: Java, Python, Go
• At least 2 years of experience with Cloud Native technologies (Amazon Web Services, Microsoft Azure, Google Cloud Platform)
• 2+ years of experience with container orchestration services including Docker or Kubernetes
• Experience with Shell or Bash scripting
• At least 2 years of Unix or Linux system administration experience

• Experience developing automation solutions using agentic AI tools (Claude Code, Copilot CLI)
• Troubleshooting and debugging skills across distributed systems
• Familiarity with payments, financial services, or other regulated high-availability domains
• Knowledge or experience of Networking concepts (TCP/DNS/TLS)

For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com

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Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe, any position posted in the Philippines is for Capital One Service Corp (COPSSC), and any position posted in Mexico is for Capital One Technology Labs Mexico.