Platform Engineer - US

Adarga • Herndon, VA

3d • Hybrid

About The Position

Adarga builds AI systems for customers working in Defence, Security and Resilience. With a core focus on our multimodal data fusion platform, we combine the value of humans and agents to transform information overload into decision advantage. Our team is a hybrid of domain specialists and technologists. We believe this layering of experience is key to building cutting edge AI that is operationally relevant. With our foundations set in NLP, computational linguistics and graph technology we now draw on the latest ideas in agentic AI and knowledge representation, as we set our sights firmly on defining and building the next era of sovereign AI capability. To work at Adarga you have to care deeply about the mission. We exist to support those with the ultimate task: upholding the liberties and values that define our society. We want people who are comfortable with uncertainty, who want to own decisions, who want to drive a vision.

Adarga is growing its Platform Engineering team and we’re looking for a Platform Engineer to join us. This is an excellent opportunity for someone who wants to develop their platform or DevOps skills in a fast-paced, mission-driven environment. You’ll work alongside experienced platform and software engineers, learning modern DevOps practices used to maintain a containerised microservices architecture. Our product is cloud native and highly automated – but there’s always more to build, improve and optimise. You’ll receive committed mentoring from an experienced team while making a genuine contribution to production systems that matter. Your days will be dynamic: a mixture of development, learning, and supporting our product releases. You’ll gain exposure to a wide range of technologies and have a clear path toward increased responsibility and personal growth.

Requirements

• Experience with US Government Cloud systems
• Experience in the FEDRAMP process
• Hands-on Linux systems administration (or equivalent practical experience)
• Practical experience with GCP and AWS services and concepts
• Experience with Kubernetes, ideally GKE, and container fundamentals (Docker/Kubernetes)
• Scripting ability in Bash, Python, or similar for automation tasks
• Strong networking fundamentals (DNS, HTTP/S, TCP/IP, firewalls, load balancing)
• Proficiency with Git and collaborative engineering workflows
• Familiarity with GitOps and declarative configuration management
• Ability to effectively leverage AI-assisted tools to accelerate engineering workflows
• Strong problem-solving skills, ownership, and willingness to learn
• Clear communication and effective team collaboration

Nice To Haves

• Exposure to multi-cloud environments (AWS/GCP/Oracle) and migration patterns
• Experience with Terraform/OpenTofu and Terragrunt
• Experience with CI/CD and GitOps tooling (GitHub Actions, Atlantis, Argo CD)
• Experience operating Kubernetes platforms in production (RBAC, ingress, observability)
• Awareness of cloud security and compliance principles (least privilege, CIS, ISO 27001)
• Experience with monitoring/observability tooling (Prometheus, Grafana, Loki and Tempo)
• Relevant certification (e.g., Associate Cloud Engineer, AWS Certified Cloud Practitioner, AWS Certified Solutions Architect – Associate)

Responsibilities

• Assist in maintaining and improving our cloud infrastructure and account structure
• Contribute to our Infrastructure as Code codebase, primarily using Terraform
• Support the deployment and operation of containerised applications in Kubernetes
• Help automate infrastructure delivery pipelines and CI/CD workflows
• Assist in monitoring, logging, and observability tasks across our platform
• Support disaster recovery testing and data backup/restore processes
• Work with software engineers and data scientists to understand and support their infrastructure needs
• Learn and apply DevSecOps principles, integrating security into everyday workflows
• Participate in incident response and troubleshooting under guidance from senior engineers

Benefits

• Make a real impact – our flagship products will rely on the systems you help build and support
• Continuous learning across a wide array of cloud-native technologies
• Committed mentoring and training from an experienced platform engineering team
• A clear path to increased responsibility, leadership, and personal growth
• Exposure to defence, national security, and AI/ML workloads at production scale

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: No Education Listed