Solutions Engineer

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Everyone is trying to “harness the cloud”, but not everyone knows how. As an aspiring cloud computing infrastructure architect on our team, you’ll learn how to use cutting‑edge enterprise cloud platforms to support your clients as they modernize their IT infrastructure and meet their most difficult missions. We’re looking for someone like you to help the environment of our warfighters.

You’ll closely collaborate with cloud architects and engineers specializing in Office 365, Azure, AWS, and GCP to design, define, develop, test, and debug cloud solution components. You’ll have the chance to grow your skills within a Dev Ops framework to develop and manage container apps and use products like Kubernetes to further the mission. With access to our internal Azure, AWS, and GCP labs, you’ll have the space and time to explore different ways of solving our clients’ challenges, and you’ll work with your team and stakeholders to deliver the right technical solutions.

Whether helping to modernize legacy computing platforms and applications or learning to create new ones from scratch, you’ll have the latest tech and brightest teammates at your fingertips.

Grow your skills at the leading edge of innovation.

Join us. The world can’t wait.

• Experience with AWS Gov Cloud architecture and implementation, including networking, IAM, compute, and storage design and implementation ownership
• Experience with enterprise virtualization and infrastructure architecture across geographically distributed environments, including degraded or disconnected network conditions, and data platform architecture at the design and implementation level such as data lake houses, pipelines, and multi‑tenant environments in classified or air‑gapped contexts, including Databricks or Cloudera
• Experience with SIEM platform architecture and deployment, including design, migration, or consolidation at enterprise‑scale such as Elasticsearch or Splunk
• Experience with Dev Ops and automation such as containerization, orchestration, infrastructure‑as‑code, and CI / CD pipeline design in classified or restricted environments, including Kubernetes, Terraform, or Ansible
• Experience with AI / ML pipeline integration, including RAG workflows or LLM‑backed tooling in production or near‑production environments, used to extend engineering capability
• Knowledge of IL4–IL5 classification controls, RMF, and ATO processes
• Ability to rapidly evaluate and adopt emerging technologies, develop genuine working knowledge, lead a team through implementation, produce clear technical documentation, and communicate architectural decisions to both engineering teams and senior non‑technical stakeholders
• Ability to architect solutions under ambiguity and drive them through implementation alongside engineers, owning the outcome, not just the diagram

• Experience with cloud‑native AI / ML services in Gov Cloud environments such as AWS Bedrock, Sage Maker, or equivalent
• Experience at a large defense contractor or systems integrator with large‑scale program execution, including from Booz Allen, SAIC, Leidos, GDIT, Peraton, or equivalent
• Experience supporting DoD programs or installations
• Experience with DoD mission systems or C2 platform integration across NIPR, SIPR, or coalition network environments
• Experience with agentic AI frameworks, workflow automation platforms, or custom tooling development that meaningfully extend team or program capacity
• Experience building team capability through documentation, mentorship, or structured knowledge transfer
• Experience in a technical lead or principal‑level role with accountability for both architecture and delivery outcomes
• Experience on a Technology Tiger Team or rapid response technical unit, including parachuting into high‑priority problems, delivering under compressed…