Description
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.
We're growing our Platform Engineering team and we're looking for a Platform Engineer to join us. You'll work alongside experienced platform and software engineers, learning modern DevOps practices used to maintain a containerised microservices architecture.
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
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