Platform Automation Engineer - Python

Experience Required: 10+ years

Interview : In-Person (at Office in New York, NY)

Must be fluent with Python as you need to code at the time of interview.

Summary:
- Design, improve, and operate internal platform capabilities that enhance developer productivity and operational reliability.
- Develop reusable frameworks and tooling for deployments, monitoring, remediation, reporting, and self-service operations. Build and maintain CI/CD pipelines to support reliable and repeatable software delivery.
- Drive observability initiatives using metrics, dashboards, logging, and alerting platforms . Collaborate with application teams to improve platform adoption, deployment standards, and operational excellence. Support and enhance Kubernetes-based application platforms and deployment frameworks.
- Work with authentication and authorization technologies including OAuth2, SSO, and JWT . Analyse application, infrastructure, and database performance to identify optimization opportunities. Contribute to reliability engineering practices including automation, resilience, capacity planning, and operational readiness.
-Partner with engineering teams to reduce operational toil through automation and platform improvements. Must-Have Skills: Strong Python development and automation experience
- Experience building operational tooling, automation frameworks, or platform services
- Strong understanding of Linux systems and scripting
- Experience with observability platforms such as Prometheus, Grafana, alerting, logging, and monitoring solutions: Good understanding of SQL and database fundamentals: Hands-on experience with CI/CD platforms (Jenkins, GitLab CI, GitHub Actions, etc.)
- Experience with Kubernetes and Docker in enterprise environments
- Understanding of web applications, APIs, and service architectures: Experience with OAuth, SSO, JWT, or similar authentication technologies.

Nice to Have:
- Ansible, Terraform, or Helm Platform Engineering or Internal Developer Platform experience
- Experience building self-healing or auto-remediation solutions Cloud-native architectures and services AI-assisted automation and operational tooling SRE practices including SLIs, SLOs, and error budgets Who You Are An engineer who enjoys building solutions that eliminate manual effort.
- Passionate about automation, reliability, and engineering efficiency. Comfortable working across infrastructure, platforms, applications, and databases.