Skip to content

Open nowPosted 50 days ago

Platform Engineer - US

adarga4 open roles

Where
Herndon, Virginia, United States
Work mode
Hybrid
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowPlatform Engineer - USadarga · Herndon, Virginia, United States
  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on adarga's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

7.8% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 1.6%1 day
  2. 3.4%3 days
  3. 7.8%7 days
  4. 14.3%14 days
  5. 33.7%30 days
This job: posted 50 days ago

The posting

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

Essential 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

Desirable requirements

  • 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)

Further information

You 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.

This 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.

Interview Process

  • Getting 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.
  • Team 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.
  • Technical 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.
  • Final 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.

Contact

[email protected]

Find out more about Adarga: https://adarga.ai/careers

Diversity & Inclusion at Adarga

Adarga 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.

Recruitment Company Statement

We approach everything with transparency and integrity. To avoid wasting anyone’s time, here is our policy on working with recruitment companies:

At present, we are not working with any new recruitment agencies, because we only want to work directly with individual applicants who can contact our People Team through [email protected]

From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against adarga's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.
  3. We apply on adarga's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.
  4. Every reply, sorted

    adarga's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.
  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.