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Senior/Staff Forward Deployed Engineer

  • Office
  • 6+ years

Salary

$190,000 - 455,000/ year

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Description

America is under sustained cyber attack. Our adversaries infiltrate our networks, steal our IP, and degrade the digital infrastructure that modern life runs on. They’ve learned—correctly—that those attacks rarely produce consequences.

The company was founded to change that, by making our adversaries think twice before they attack us. Our vision is American and allied primacy in cyberspace—a future where they cannot contest us, deterrence is assured, and the free world remains secure.

Role Summary

You'll be on the ground at a government customer site, serving as a generalist engineering presence for the company's mission-critical platform in a restricted, air-gapped environment.

This is the broadest engineering role at the company. In a given month you might build a customer-specific feature, integrate a new data source, get an extension through the customer's deployment process, chase down a production failure, tune the monitoring that would have caught it sooner, and prototype an AI-backed capability with support from Arlington. You won't be an expert in all of it, and the role isn't designed to require that. For specialist work like data engineering and AI engineering, you'll deliver with guidance from the Arlington engineers who specialize in it. What the role does require is range: the ability to pick up an unfamiliar part of the system, get productive quickly, and produce work that holds up in production.

The office-based team can't access this environment, so you are the engineering presence where the software actually runs. Problems reach you first, and the judgment calls are yours: what's wrong, what's urgent, and what Arlington needs to know. When customer work is quiet, you'll build features for the company's core product applications, carrying what you learned in the field directly into the product.

You'll report directly to the VP of Engineering. You'll be part of a small forward deployed team, working closely with other on-site colleagues, the Arlington-based product engineering and DevSecOps teams, and the customer's own technical staff.

If you're a strong generalist who wants your work in the hands of operators the same day you build it, and you'd rather own a production system end to end than ship features into a backlog, this role is for you.

Responsibilities

  • Customer-Specific Features & Extensions
  • Design and build features, extensions, and integrations that adapt the company's applications to this customer's mission, workflows, and environment.
  • Work directly with customer users and technical staff to understand what they actually need, then scope and deliver it, making pragmatic trade-offs between speed, robustness, and what the environment allows.
  • Write code that is testable, debuggable, and maintainable by engineers who can't access the environment in which it runs. Tests carry unusual weight here: they're how Arlington trusts a change they'll never see run.
  • Write code that meets the security standards of classified environments: no hardcoded secrets, disciplined credential handling, and audit-ready practices throughout, so your work moves through the customer's approval process without friction.
  • Data Integration & AI-Backed Capabilities
  • Build software extensions that retrieve, parse, transform, and load new data sources into the company's applications, working with forward deployed data engineers where present and Arlington data engineers where not.
  • Investigate unfamiliar source systems and data formats, working with customer stakeholders to understand semantics, access patterns, and constraints before writing code.
  • Extend and field-test AI-backed capabilities in the company's applications with guidance from Arlington AI engineers, and report back what actually works against real data and real users.
  • Deployment & Site Reliability
  • Work with the customer's deployment team to get software approved, deployed, and running in the high-side environment, and execute deployments and updates in coordination with Arlington engineering.
  • Monitor the health of the platform and its data flows on-site using the LGTM stack (Grafana, Loki, Tempo, Mimir); identify anomalies and degradations before they become incidents. In an air-gapped environment, efficiency compounds.
  • Diagnose and resolve production issues where they happen, escalating to Arlington with a clear picture of what you found, not just what triggered the alert.
  • Drive root cause analysis and post-incident reviews in partnership with the Arlington engineering team, and turn findings into runbooks, fixes, or upstream design changes.
  • Participate in on-call rotation using PagerDuty, with clear escalation paths to the engineering team. The environment is air-gapped, so off-hours incident response may require returning to the customer facility rather than remoting in.
  • Product Engineering
  • When customer-driven work is quiet, build feature capabilities for the company's core product applications alongside the Arlington product engineering teams.
  • Surface patterns from the field that should become platform capabilities, and advocate for them with the product engineering team. What you generalize from one customer makes every deployment after it faster.
  • Customer & Team Liaison
  • Serve as a consistent engineering presence for the government customer: professional, reliable, and clear under pressure.
  • Relay operational observations, capability gaps, and customer feedback to the Arlington team accurately and promptly.
  • Work alongside other forward deployed engineers and analysts, sharing context and coverage across the on-site team.

Requirements

  • You independently identify the right solution to ambiguous, open-ended problems. Problems reach you before they're fully defined, and the environment's constraints are discovered, not documented; you investigate, form a design, and deliver without waiting for a spec.
  • You have real range. You've shipped across more of the stack than your title suggests, and you get productive in unfamiliar systems quickly. You'd rather be effective at many things than perfect at one.
  • You know the difference between what you can do alone and what you should do with help, and you actively use Arlington specialists as a resource without being dependent on them for every decision.
  • You respond with urgency to operational issues and own resolution within your sphere. You're unafraid to call an incident when the signal warrants it.
  • You proactively create and update runbooks and documentation for the components you own. In an environment the rest of the team can't access, what you write down is what they know.
  • You understand the customer and the mission well enough to know which work has the greatest impact, and you redirect your focus when what you're doing isn't moving the needle.
  • You tailor your communication to your audience, whether that's a product engineer in Arlington, a DevSecOps teammate, or a non-technical customer stakeholder, and you proactively share information so the right people stay informed and aligned.
  • You're comfortable operating in secure environments where tooling is limited, internet access is not a given, and the stakes are real.
  • 6+ years of professional software engineering experience, including substantial time owning services or applications running in production.
  • Strong generalist programming ability in at least one of Go, Python, or TypeScript, writing code that remote teammates can review, extend, and trust.
  • Experience building and shipping backend services or full-stack features end to end: design, implementation, testing, deployment, and operation.
  • Experience debugging production systems: reading logs, tracing failures across components, and root-causing issues under time pressure.
  • Working operational fluency: Linux command line, containerized environments (Docker, Docker Compose), and enough observability tooling skill to monitor and operate what you ship.
  • Demonstrated range: you've delivered production work outside your core specialty, such as data pipelines, integrations, infrastructure, or ML-backed features, and you're comfortable doing so with support from specialists.
  • Experience in a forward deployed, field engineering, or embedded customer-facing engineering role, including deploying and operating software in air-gapped, classified, or otherwise restricted environments, with demonstrated ability to work independently and sound judgment about when to decide and when to escalate.
  • Ability to work on-site full-time at a government facility in Northern Virginia, with travel to Arlington, VA (typically 4 days per month).
  • Hands-on experience building ETL/ELT pipelines or data integrations (example technologies: Airflow, NiFi, AWS Glue, or equivalent custom pipeline development), and solid SQL and schema design skills.
  • Experience building LLM-backed application features or operating AI/ML systems in production.
  • Hands-on experience with observability tooling (Grafana, Datadog, Splunk, or similar).
  • Experience with streaming and message queue technologies (example technologies: Kafka, NATS, Kinesis, RabbitMQ).
  • Background in a military, intelligence, or defense contracting environment.
  • Tech Environment (You Might Work With)
  • Cloud: AWS (EC2, ECS, RDS, CloudWatch) in closed enclave environments
  • Containers: Docker, Docker Compose
  • Observability: Grafana, Loki, Tempo, Mimir (LGTM stack)
  • Alerting / on-call: PagerDuty
  • Messaging: NATS
  • Databases: PostgreSQL
  • Data integration: the company's purpose-built data platform and integration layer (in active development)
  • Languages in use across engineering: Go, TypeScript, Python
  • Security / Work Environment
  • This role requires an active security clearance . Work is performed on-site at a government facility, with travel to the company's Arlington, VA office typically 4 days per month. Access to systems is restricted and tooling constraints apply.

Benefits

  • What's on the table:
  • Health. Medical, dental, and vision plan options. Life / AD&D, disability coverage options.
  • Family. Paid parental leave for eligible full-time employees. 12 weeks for birthing parents, 4 for non-birthing parents, 6 weeks for adoptive, foster, or intended parents through surrogacy.
  • Vacation. Paid holidays and flexible PTO. Take what you need.
  • Retirement. 401(k) with pre-tax and Roth options. HSA/FSA options, dependent care FSA.
  • Benefits vary by location, role, and eligibility. Full plan details provided during the interview and offer process.
  • If this role sounds like you, apply and share with us your interest
  • Due to U.S. government contract and security requirements, this role is limited to U.S. citizens . Some positions may also require eligibility to obtain and maintain a U.S. Government security clearance. Any active clearance requirement will be listed in the role description .

Where you’d work

From the office

No visa sponsorship

About the company

Company hidden

  • Industry: Cybersecurity

Office in MD, United States

Your chances

Still hiring, not crowded yet, and you'd be among the first.

  • 17 checks run
  • 5 good signs
  • 2 red flags

Still hiring?

11 checks

Actively hiring

In its favour3

  • Still on the company's own careers site, checked 1 h agoModerate evidence
  • Found in the last 48 hours, before the big job boardsModerate evidence
  • Specific about the basics: pay, place, level, stack and contract all statedSlight evidence

Against it1

  • Very wide salary range: $190K to $455KSlight evidence

How crowded?

6 checks

Low

In its favour2

  • In its Early Window: not on the big job boards yetStrong evidence
  • Senior level: far fewer people qualifySlight evidence

Against it1

  • Pays more than 99% of similar roles: that draws applicantsSlight evidence

Fits Me

How well does this role fit you?

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Details13 facts · Role, Location, Compensation, Employment, Company
Tech stack
  • TypeScript
  • Python
  • Go
  • SQL
  • PostgreSQL
  • AWS
  • Docker
  • Kafka
  • Linux
  • LLMs
Seniority
Staff
Type
Full-time
Industry
Cybersecurity
Specialty
Forward Deployed
Region
United States
Show 7 more factsShow less

Role

Category
Solutions & Support
Specialty
Forward Deployed
Seniority
Staff
Experience
6+ years
Tech stack
  • TypeScript
  • Python
  • Go
  • SQL
  • PostgreSQL
  • AWS
  • Docker
  • Kafka
  • Linux
  • LLMs

Location

Work model
Office
Region
United States
Office
  • MD, United States
Visa sponsorship
Not sponsored

Compensation

Salary
$190,000 - 455,000 / year
Pay period
Annual

Employment

Type
Full-time

Company

Industry
Cybersecurity

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