Build and maintain automation that manages BigQuery datasets, access permissions, and governance workflows at enterprise scale
Deploy and operate services on Kubernetes using CI/CD pipelines, GitHub Actions, Terraform, and infrastructure-as-code practices
Own the reliability of the platforms you support — monitor with New Relic, respond to PagerDuty alerts, diagnose issues, and build automation to prevent recurrence
Manage cloud infrastructure across AWS and GCP, including cost optimization, security compliance, and resource lifecycle
Build internal tools and web applications that make the data platform easier to use
Participate in on-call rotations and take ownership of incident response, troubleshooting production issues across a diverse technology stack
Write clear documentation, complete peer code reviews, and share knowledge with the team through daily demos and technical discussions
Requirements
3+ years of professional software engineering experience
Proficiency in at least one general-purpose programming language (Python preferred, but we value strong fundamentals in any language)
Experience with cloud platforms such as AWS and GCP
Experience with or strong interest in containerization and Kubernetes
Experience with CI/CD pipelines, Git workflows, and infrastructure-as-code tools such as Terraform
Comfort working in a platform or SRE-oriented role — supporting systems that other teams depend on and balancing feature work with operational responsibilities
Experience with monitoring, alerting, and incident response tools (New Relic, PagerDuty, CloudWatch, or similar) is a plus
Familiarity with SQL and working knowledge of data platforms
Experience with identity and access management systems (SailPoint, Active Directory, OIDC/SAML federation) is a plus
A bias toward automation — you would rather write a script to solve a recurring problem than do it manually twice
Familiarity with AI-assisted development tools and a willingness to incorporate them into daily work
Strong communication skills — you can explain technical concepts to non-technical stakeholders and collaborate effectively across teams.
Tech Stack
AWS
BigQuery
Cloud
Google Cloud Platform
Kubernetes
Python
SQL
Terraform
Benefits
Medical/Vision, Dental, Retirement and Paid Time Away