DevOps Engineer

Job Responsibilities

• Proactively identify and remediate platform risks across critical payment processing services before they escalate to major incidents, working directly from post-incident findings and root cause analyses.
• Onboard services onto observability platforms such as New Relic, establishing dashboards, alerts, and service-level baselines that give engineering teams real-time visibility into service health.
• Own Helm chart configuration for containerized applications running on AWS Elastic Kubernetes Service, tuning resource limits, health check probes, autoscaling policies, and availability settings to prevent production incidents before they occur.
• Build and maintain internal engineering tooling covering software deployment pipelines, certificate lifecycle automation, and shareable AI-powered developer tools that reduce toil and raise the capability floor across the engineering organization.
• Develop integrations and automation that connect internal systems and improve engineering workflows at scale, including tooling built on top of large language model APIs.
• Participate in on-call rotations, providing incident response support for critical payment platforms on a 24/7 basis as required.
• Partner with incident commanders and software engineers during major incidents to provide platform-level investigation support and drive durable remediation.

Required Qualifications

• 3+ years of hands-on DevOps or platform engineering experience in a production environment.
• Strong proficiency with Kubernetes and Helm; experience tuning workloads on managed Kubernetes services such as AWS Elastic Kubernetes Service.
• Practical observability experience with New Relic or equivalent platforms such as Datadog or Prometheus with Grafana; able to build meaningful dashboards and alert configurations from scratch.
• Proficiency in at least one scripting or programming language (Python, Go, TypeScript, or similar) with a track record of building automation that other engineers actually use.
• Familiarity with continuous integration and delivery pipelines, GitOps practices, and infrastructure-as-code tooling such as Terraform or Ansible.
• Experience managing TLS certificates and a working understanding of public key infrastructure in production environments.
• Comfort participating in on-call rotations and responding to incidents outside of business hours when needed.

Preferred Qualifications

• Experience building tooling on top of large language model APIs such as Anthropic Claude or OpenAI.
• Background in payment processing or financial services infrastructure.
• Familiarity with service management platforms used for tracking incidents, changes, and requests in enterprise engineering environments.
• Prior contribution to internal developer platforms or shared engineering tooling.