{"id":68431,"url":"https://alion.io/job/adarga-platform-engineer-us","title":"Platform Engineer - US","company":{"id":26401,"name":"Adarga","domain":"adarga.ai","url":"https://alion.io/company/adarga","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Recruitee","truth_index":null},"role":"DevOps","role_family":"DevOps","seniority":null,"employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Herndon, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":111000,"max_usd":249000,"period":"year","method":"role_country_seniority_unknown","sample_n":3941},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"Bash","optional":false},{"name":"CI/CD","optional":false},{"name":"Configuration Management","optional":false},{"name":"DNS","optional":false},{"name":"Docker","optional":false},{"name":"Edge AI","optional":false},{"name":"FedRAMP","optional":false},{"name":"GCP","optional":false},{"name":"Git","optional":false},{"name":"GitOps","optional":false},{"name":"Google GKE","optional":false},{"name":"Kubernetes","optional":false},{"name":"Linux","optional":false},{"name":"Multimodal AI","optional":false},{"name":"NLP","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Python","optional":false},{"name":"TCP/IP","optional":false},{"name":"Terraform","optional":false},{"name":"ArgoCD","optional":true},{"name":"Atlantis","optional":true},{"name":"GitHub Actions","optional":true},{"name":"Grafana","optional":true},{"name":"ISO 27001","optional":true},{"name":"Least Privilege","optional":true},{"name":"Loki","optional":true},{"name":"OpenTofu","optional":true},{"name":"Prometheus","optional":true},{"name":"Terragrunt","optional":true}],"status":"live","first_seen_at":"2026-08-13T14:26:26Z","employer_posted_date":"2026-08-13","last_verified_at":"2026-10-16T15:19:57Z","board_verified":true,"closed_at":null,"days_open":64,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":64},"description":"About Adarga\nAdarga 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.\nOur 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.\nTo 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.\nThe Role\nAdarga 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.\nYou’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.\nYour 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.\nWhat you’ll be doing\nAssist in maintaining and improving our cloud infrastructure and account structure\n\nContribute to our Infrastructure as Code codebase, primarily using Terraform\n\nSupport the deployment and operation of containerised applications in Kubernetes\n\nHelp automate infrastructure delivery pipelines and CI/CD workflows\n\nAssist in monitoring, logging, and observability tasks across our platform\n\nSupport disaster recovery testing and data backup/restore processes\n\nWork with software engineers and data scientists to understand and support their infrastructure needs\n\nLearn and apply DevSecOps principles, integrating security into everyday workflows\n\nParticipate in incident response and troubleshooting under guidance from senior engineers\n\nWhat you’ll get\nMake a real impact - our flagship products will rely on the systems you help build and support\n\nContinuous learning across a wide array of cloud-native technologies\n\nCommitted mentoring and training from an experienced platform engineering team\n\nA clear path to increased responsibility, leadership, and personal growth\n\nExposure to defence, national security, and AI/ML workloads at production scale\n\nRequirements\nEssential requirements\nExperience with US Government Cloud systems\n\nExperience in the FEDRAMP process\n\nHands-on Linux systems administration (or equivalent practical experience)\n\nPractical experience with GCP and AWS services and concepts\n\nExperience with Kubernetes, ideally GKE, and container fundamentals (Docker/Kubernetes)\n\nScripting ability in Bash, Python, or similar for automation tasks\n\nStrong networking fundamentals (DNS, HTTP/S, TCP/IP, firewalls, load balancing)\n\nProficiency with Git and collaborative engineering workflows\n\nFamiliarity with GitOps and declarative configuration management\n\nAbility to effectively leverage AI-assisted tools to accelerate engineering workflows\n\nStrong problem-solving skills, ownership, and willingness to learn\n\nClear communication and effective team collaboration\n\nDesirable requirements\nExposure to multi-cloud environments (AWS/GCP/Oracle) and migration patterns\n\nExperience with Terraform/OpenTofu and Terragrunt\n\nExperience with CI/CD and GitOps tooling (GitHub Actions, Atlantis, Argo CD)\n\nExperience operating Kubernetes platforms in production (RBAC, ingress, observability)\n\nAwareness of cloud security and compliance principles (least privilege, CIS, ISO 27001)\n\nExperience with monitoring/observability tooling (Prometheus, Grafana, Loki and Tempo)\n\nRelevant certification (e.g., Associate Cloud Engineer, AWS Certified Cloud Practitioner, AWS Certified Solutions Architect - Associate)\n\nFurther information\nYou will take part in cross-functional and cross-team communication to enhance collaboration. These will take the form of knowledge shares, reading groups, chapter group meetings, workshops and innovation projects.\nThis is a fantastic opportunity for a candidate at the start of their platform engineering career to develop their skills in an exciting, technology-led company working on genuinely important problems.\nInterview Process\nGetting to know you: In the first call, our recruiter will learn about you and your story to check a potential fit for Adarga. This is also a chance for you to ask initial questions about the role and company.\n\nTeam Interview: You’ll meet with your potential team members who will take a deeper dive into the technical aspects of the role. Expect some high-level technical questions, competency-based questions, and another chance to ask questions.\n\nTechnical Interview: You’ll work with your potential team members on technical questions and challenges. This will be a collaborative session - we’re interested in how you think and approach problems, not whether you have all the answers.\n\nFinal Interview: The last stage! Here we’ll gain a better understanding of your experience to date, discuss different projects you’ve worked on and the impact you’ve had, and give you an opportunity to meet more of the wider team.\n\nContact\n\nFind out more about Adarga: https://adarga.ai/careers\nDiversity & Inclusion at Adarga\nAdarga recruits, trains, promotes and employs regardless of race, background, gender, colour, religion, disability, age, gender identity or any other protected status. In addition to this, we actively promote and encourage diversity of thought through multiple avenues. Adarga is dedicated to building and maintaining an inclusive environment where people feel valued, appreciated, and free to be themselves without prejudice.\nRecruitment Company Statement\nWe approach everything with transparency and integrity. 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