Senior Platform Engineer helping design, scale, and harden Pivotal’s AI-driven platform. Collaborating closely with engineering teams to improve reliability, security, and scalability.
Responsibilities
Help shape the architecture of our platform by evaluating trade-offs, improving system design, and partnering with teams to build scalable, reliable infrastructure that supports long-term growth.
Develop tooling, services, and automation that improve developer productivity, reliability, and observability across the system.
Expand and harden our Terraform coverage, ensuring critical resources are versioned, auditable, and safely provisioned across environments.
Contribute to the design of system interactions and data flows, making thoughtful architectural decisions that balance scalability, reliability, and performance as the platform evolves.
Build and evolve monitoring, alerting, dashboards, and testing pipelines that surface meaningful signal rather than noise.
Partner on securing CI/CD pipelines, access controls, networking, and data flows while supporting compliance efforts as we grow.
Identify repetitive or high-friction work and eliminate it through automation, better abstractions, or new tooling, including leveraging AI where it meaningfully helps.
Operate as a partner to feature teams, helping unblock delivery, improve systems, and ensure platform decisions reflect real-world needs.
Requirements
6+ years of experience in platform, infrastructure, or software engineering roles
Bachelor’s degree in Computer Science, Engineering, or a related field preferred; equivalent practical experience will be considered.
Strong software engineering foundation with solid coding skills; Python preferred.
Hands-on experience designing and operating cloud-native systems (GCP preferred)
Deep experience with Infrastructure as Code (Terraform)
Experience building and maintaining CI/CD pipelines (GitHub, GitHub Actions)
Strong understanding of containers, Docker, and cloud networking fundamentals, as well as orchestration platforms like Kubernetes
Experience with databases and data infrastructure
Familiarity with event-driven architectures (Kafka, Pub/Sub, Kinesis, or similar)
Comfortable discussing architectural trade-offs and system design decisions clearly and thoughtfully.
Benefits
Competitive compensation, including equity
Full health, dental, and vision coverage
Retirement savings plan through 401(k)
Flexible time off
Opportunities for company-wide connection and events
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