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Twenty

Autonomous offensive cyber operations platform

Senior/Staff Forward Deployed Software Engineer

AI Application EngineeringConfirmed live in the last 24 hours
Full-time$192k - $455k /yr

About the Job

Requirements

  • At least 6 years of professional software engineering experience, including substantial experience owning services or applications in production.
  • Strong generalist programming ability in at least one of Go, Python, or TypeScript, with code that remote teammates can review, extend, and trust.
  • Experience building and shipping backend services or full-stack features end to end, including design, implementation, testing, deployment, and operation.
  • Experience debugging production systems by reading logs, tracing failures across components, and root-causing issues under time pressure.
  • Operational fluency with the Linux command line, containerized environments such as Docker and Docker Compose, and observability tools sufficient to monitor and operate shipped software.
  • Demonstrated production work outside the candidate's core specialty, such as data pipelines, integrations, infrastructure, or machine-learning-backed features, and comfort working with specialist support.
  • Experience in forward-deployed, field-engineering, or embedded customer-facing engineering, including deploying and operating software in air-gapped, classified, or otherwise restricted environments, with independent judgment about when to decide and when to escalate.
  • Ability to work on-site full-time at a government facility in Northern Virginia and travel to Arlington, Virginia, typically four days per month.
  • Ability to identify solutions to ambiguous problems, investigate undocumented constraints, form designs, and deliver without waiting for a specification.
  • Ability to become productive quickly in unfamiliar systems and work across multiple areas of the stack.
  • Ability to recognize when to work independently and when to seek specialist support.
  • Ability to respond urgently to operational issues and own resolution within the role's scope.
  • Ability to create and update runbooks and documentation for owned components.
  • Ability to understand customer and mission priorities and redirect work toward the greatest impact.
  • Ability to communicate appropriately with product engineering, DevSecOps, and customer stakeholders and proactively share relevant information.
  • Comfort operating in secure environments with limited tooling and potentially no internet access.
  • Active security clearance.
  • U.S. citizenship is required.

Responsibilities

  • Design and build features, extensions, and integrations that adapt the company's applications to the customer's mission, workflows, and environment.
  • Work directly with customer users and technical staff to understand needs, scope and deliver work, and balance speed, robustness, and environmental constraints.
  • Write testable, debuggable, and maintainable code that remote engineers can review and trust; provide tests that enable the office-based team to validate changes in an inaccessible environment.
  • Write code that meets classified-environment security standards, including avoiding hardcoded secrets, handling credentials carefully, and following audit-ready practices to support customer approval.
  • Build software extensions to retrieve, parse, transform, and load new data sources into applications, working with forward-deployed or office-based data engineers as available.
  • Investigate unfamiliar source systems and data formats, consulting customer stakeholders about semantics, access patterns, and constraints before coding.
  • Extend and field-test AI-backed application capabilities with guidance from AI engineers, and report their performance against real data and users.
  • Coordinate with the customer's deployment team to secure software approval and deployment in the high-side environment, and execute deployments and updates with office-based engineering.
  • Monitor platform and data-flow health on-site using the Grafana, Loki, Tempo, and Mimir observability stack; identify anomalies and degradations before incidents occur.
  • Diagnose and resolve production issues on-site, escalating to office-based engineering with findings and context.
  • Conduct root-cause analysis and post-incident reviews with the office-based engineering team, and turn findings into runbooks, fixes, or upstream design changes.
  • Participate in the PagerDuty on-call rotation and follow escalation paths; return to the customer facility for off-hours incident response when required by the air-gapped environment.
  • Build feature capabilities for core product applications with office-based product engineering when customer-driven work is quiet.
  • Identify field patterns that should become platform capabilities and advocate for them with product engineering.
  • Serve as a consistent engineering presence for the government customer.
  • Relay operational observations, capability gaps, and customer feedback accurately and promptly to the office-based team.
  • Work alongside other forward-deployed engineers and analysts, sharing context and coverage across the on-site team.

Desired Qualifications

  • Hands-on experience building ETL/ELT pipelines or data integrations using Airflow, NiFi, AWS Glue, or custom pipeline development, plus SQL and schema design.
  • Experience building LLM-backed application features or operating AI/ML systems in production.
  • Hands-on experience with observability tools such as Grafana, Datadog, or Splunk.
  • Experience with streaming and message-queue technologies such as Kafka, NATS, Kinesis, or RabbitMQ.
  • Background in a military, intelligence, or defense-contracting environment.

About the Company

Twenty

Autonomous offensive cyber operations platform

Twenty builds autonomous, end-to-end cyber systems for national security, focused on offensive cyber operations and intelligence work for the U.S. military and Intelligence Community. Its software automates the offensive cyber lifecycle, enabling continuous operations across hundreds of targets and turning tasks that used to take weeks into automated workflows. The company leverages veteran leadership and deep cyber expertise to scale enterprise-grade capabilities beyond defensive postures and toward active cyber conflicts. Its goal is to provide scalable, automated tools that give operators and partners an information edge to achieve operational dominance in the cyber battlespace.

Company size
51-200
Company stage
Series B
Total funding
$168M
Headquarters
Arlington County, VA
Founded
2024

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