| Location | Herndon, VA |
About Adarga
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.
The Role
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 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.
What you’ll be doing
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
What you’ll get
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