← Back to jobsJob ID col-cmvlagp9c02vws3ctirw28d73

Responsibilities

  • Embed with the client team. Work on site and remotely with end users, product owners, and the client's technical and security teams to understand their workflows firsthand
  • Build full stack, end to end. Ship production features across the front end, back end, data layer, and infrastructure. You own a feature from the first conversation through deployment
  • Deploy into secure, constrained environments. Get software running in on-prem, government cloud, or restricted networks, where the tooling and internet access you're used to may not be available
  • Turn ambiguous needs into working software. Prototype quickly, put something real in front of users, and iterate with them. Don't wait for a perfect requirements doc
  • Integrate AI where it earns its place. Build LLM-powered features and agentic workflows that fit the client's security and data-handling constraints, including working with self-hosted or approved models
  • Work within the security process. Write code and documentation that hold up under security review, and partner with the client's ISSO and compliance teams on authorization requirements
  • Be the bridge back to TribalScale. Bring field insight to our broader engineering and product teams, and pull in TribalScale specialists when the engagement needs them
  • Turn loosely defined client needs into clear, executable technical plans
  • Deliver AI-enabled products that perform reliably outside of controlled demonstrations
  • Establish evaluation and observability practices that make quality measurable and regressions visible
  • Improve agent behavior by refining harnesses, loops, tools, graphs, context, and safeguards—not only by changing prompts or models
  • Help client teams understand what their AI systems can do, where they can fail, and how they should be operated responsibly
  • Create reusable technical patterns that accelerate future TribalScale engagements
  • Become a trusted partner who can navigate uncertainty, solve difficult technical problems, and help promising ideas reach production

Qualifications

  • An active US Secret clearance (or higher) and the ability to maintain it
  • US citizenship is required
  • 5+ years of professional full stack development, shipping production software that real users rely on
  • Strong front-end skills in TypeScript and a modern framework (React preferred)
  • Strong back-end skills in at least one of Python, Node.js, Java, or Go, plus REST and/or GraphQL API design
  • Relational database experience (PostgreSQL or similar), including data modeling and query performance
  • Docker is a must
  • Cloud experience on AWS, Azure, or GCP
  • You've worked directly with end users or customer stakeholders, and you can explain technical tradeoffs in plain language
  • You already use AI coding tools in your day-to-day work and know where they help and where they don't
  • You can make progress, and make sensible calls, without a fully formed spec

Preferred

  • Kubernetes or OpenShift is a strong plus
  • Government regions (AWS GovCloud, Azure Government) are a plus
  • Prior forward deployed, field engineering, or embedded consulting experience
  • Experience deploying into air-gapped or disconnected environments
  • Familiarity with NIST 800-53, RMF/ATO processes, DISA STIGs, or FedRAMP
  • A DoD 8140/8570-aligned certification (e.g. CompTIA Security+)
  • Experience building with LLMs: RAG, agent frameworks, evaluation, or running open-weight models on approved infrastructure
  • An active TS or TS/SCI clearance

Required skills

AWSAir-Gapped Environment DeploymentAzureClient Stakeholder CommunicationCompTIA Security+DISA STIGsDockerFedRAMPGCPGoGraphQL API DesignJavaKubernetesNIST 800-53

Full job description

Forward Deployed Full Stack Engineer (Active Secret Clearance) jobs in United States

TribalScale

  • Software

Responsibilities

  • Embed with the client team. Work on site and remotely with end users, product owners, and the client's technical and security teams to understand their workflows firsthand
  • Build full stack, end to end. Ship production features across the front end, back end, data layer, and infrastructure. You own a feature from the first conversation through deployment
  • Deploy into secure, constrained environments. Get software running in on-prem, government cloud, or restricted networks, where the tooling and internet access you're used to may not be available
  • Turn ambiguous needs into working software. Prototype quickly, put something real in front of users, and iterate with them. Don't wait for a perfect requirements doc
  • Integrate AI where it earns its place. Build LLM-powered features and agentic workflows that fit the client's security and data-handling constraints, including working with self-hosted or approved models
  • Work within the security process. Write code and documentation that hold up under security review, and partner with the client's ISSO and compliance teams on authorization requirements
  • Be the bridge back to TribalScale. Bring field insight to our broader engineering and product teams, and pull in TribalScale specialists when the engagement needs them
  • Turn loosely defined client needs into clear, executable technical plans
  • Deliver AI-enabled products that perform reliably outside of controlled demonstrations
  • Establish evaluation and observability practices that make quality measurable and regressions visible
  • Improve agent behavior by refining harnesses, loops, tools, graphs, context, and safeguards—not only by changing prompts or models
  • Help client teams understand what their AI systems can do, where they can fail, and how they should be operated responsibly
  • Create reusable technical patterns that accelerate future TribalScale engagements
  • Become a trusted partner who can navigate uncertainty, solve difficult technical problems, and help promising ideas reach production

Preferred

  • Kubernetes or OpenShift is a strong plus
  • Government regions (AWS GovCloud, Azure Government) are a plus
  • Prior forward deployed, field engineering, or embedded consulting experience
  • Experience deploying into air-gapped or disconnected environments
  • Familiarity with NIST 800-53, RMF/ATO processes, DISA STIGs, or FedRAMP
  • A DoD 8140/8570-aligned certification (e.g. CompTIA Security+)
  • Experience building with LLMs: RAG, agent frameworks, evaluation, or running open-weight models on approved infrastructure
  • An active TS or TS/SCI clearance

Benefits

  • Work on site and remotely with end users, product owners, and the client's technical and security teams.
  • Glassdoor
  • 3.3
  • TribalScale is a global innovation partner that helps enterprises adapt and thrive in the digital era..
  • Toronto, Ontario, CAN
  • http://www.tribalscale.com/
  • Growth Stage
  • Leadership Team
  • Sheetal Jaitly
  • Chief Executive Officer
  • Leo Giel
  • Head of BFSI
  • Recent News
  • EIN Presswire
  • TribalScale Appoints Leo Giel as Head of BFSI to Lead AI Transformation Across Financial Services
  • 2026-07-21
  • PRLog
  • Finscale Vol. 2 Is Here — The Future of Finance Isn't Coming, It's Already Arrived
  • 2025-09-24
  • TribalScale Launches FinScale: A New Digital Magazine Shaping the Future of Financial Services and Innovation
  • 2025-05-05
  • Company data provided by
  • AI Tools
  • Customize Your Resume
  • Maximize your interview chances
  • Build Cover Letter
  • Make your application stand out
  • Analyze How Well You Fit
  • Understand your strength & weakness

Qualifications

  • An active US Secret clearance (or higher) and the ability to maintain it
  • US citizenship is required
  • 5+ years of professional full stack development, shipping production software that real users rely on
  • Strong front-end skills in TypeScript and a modern framework (React preferred)
  • Strong back-end skills in at least one of Python, Node.js, Java, or Go, plus REST and/or GraphQL API design
  • Relational database experience (PostgreSQL or similar), including data modeling and query performance
  • Docker is a must
  • Cloud experience on AWS, Azure, or GCP
  • You've worked directly with end users or customer stakeholders, and you can explain technical tradeoffs in plain language
  • You already use AI coding tools in your day-to-day work and know where they help and where they don't
  • You can make progress, and make sensible calls, without a fully formed spec
  • React
  • Kubernetes or OpenShift is a strong plus
  • Government regions (AWS GovCloud, Azure Government) are a plus
  • Prior forward deployed, field engineering, or embedded consulting experience
  • Experience deploying into air-gapped or disconnected environments
  • Familiarity with NIST 800-53, RMF/ATO processes, DISA STIGs, or FedRAMP
  • A DoD 8140/8570-aligned certification (e.g. CompTIA Security+)
  • Experience building with LLMs: RAG, agent frameworks, evaluation, or running open-weight models on approved infrastructure
  • An active TS or TS/SCI clearance
  • 5+ years of professional full stack development, shipping production software that real users rely on.

Required skills

  • AWS, Air-Gapped Environment Deployment, Azure, Client Stakeholder Communication, CompTIA Security+, DISA STIGs, Docker, FedRAMP, GCP, Go, GraphQL API Design, Java, Kubernetes, NIST 800-53, Node.js, PostgreSQL, Python, REST API Design, RMF/ATO, React, Retrieval-Augmented Generation (RAG), TypeScript

Preferred skills

  • An active TS or TS/SCI clearance, Kubernetes or OpenShift is a strong plus

Experience

  • 5+ years

Job details

Employment type

Full-time

Seniority level

5+ years

Date posted

Oct 23, 2026

Work mode

Remote

Job source

job-boards.greenhouse.io

Company

TribalScale

Information Technology & AI

  • Remote, USA
  • Information Technology & AI

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Apply on company site