Steampunk is a 201–500-person federal contractor based in McLean, Virginia, building cloud and data infrastructure for government agencies. The tech stack reveals a modernization-in-progress: heavy AWS/Azure/GCP adoption, Kubernetes and containerization infrastructure (Docker, Concourse), but active replacement of Java and .NET legacy code. Hiring is accelerating with 75 roles posted in the last 30 days—engineering dominates (130 open positions), followed by data (30) and design (25)—and the project list confirms a migration-heavy roadmap (data environment moves, Salesforce consolidation, microservices refactoring).
Notable leadership hires: Salesforce Technical Lead, Tech Lead
Steampunk delivers cloud platforms, data systems, and digital infrastructure to U.S. Federal government clients. The company operates with a startup-oriented approach to government contracting, combining DevSecOps practices, cloud architecture (multi-cloud: AWS, Azure, GCP), and human-centered design. Core capabilities include data exploitation, cybersecurity hardening, and migration of legacy systems to cloud-native architectures. Hiring and project velocity suggest active growth in engineering and data roles to support ongoing modernization contracts.
Steampunk uses AWS, Azure, and GCP across its infrastructure. The stack also includes Terraform and CloudFormation for infrastructure-as-code, Kubernetes for container orchestration, and is actively adopting Databricks and Snowflake for data platforms.
Active projects include migration of data environments, Salesforce platform implementation and go-live, microservices and cloud-based system design, and data exploitation capabilities. The roadmap reflects a focus on modernizing legacy systems and streamlining government operations.
Steampunk, Inc.'s technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.