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Rowden

Edge computing for defence and security

Forward Deployed Engineer

Implementation & Technical Account ManagementUpdated on Nov 13
Full-timeBristol, UK£60k - £85k /yr

About the Job

Requirements

  • Strong software engineering fundamentals and practical programming experience in Python, JavaScript/TypeScript, Go, Java, or a similar language.
  • Strong understanding of Linux, networking, APIs, and modern software development practices.
  • Experience integrating, deploying, and troubleshooting software across cloud and/or on-premises environments.
  • Familiarity with containerisation and deployment technologies such as Docker and Kubernetes.
  • Experience working directly with customers or end users to understand problems and deliver technical solutions.
  • Ability to solve problems amid ambiguous or changing requirements and make pragmatic technical decisions.
  • Ability to communicate complex technical concepts clearly across Engineering teams, customer technical teams, and end users.
  • Ability to take end-to-end ownership of technical problems, from initial discovery through deployment and resolution.

Responsibilities

  • Embed with customers and end users to understand their missions, workflows, technical environments, and operational challenges.
  • Observe users’ work in practice and identify problems or opportunities that may not emerge through traditional requirements gathering.
  • Translate loosely defined customer problems into clear technical requirements, hypotheses, and achievable outcomes.
  • Build relationships with users and act as a trusted technical partner who understands their operational needs and the company’s technology.
  • Design pragmatic technical solutions using company products alongside customer systems and third-party technologies.
  • Develop prototypes and proof-of-concepts to test ideas with customers and validate technical approaches.
  • Develop integrations, scripts, tooling, configuration, and supporting software required to make deployments successful.
  • Work across software, APIs, data, infrastructure, and networks to solve end-to-end technical problems.
  • Adapt solutions to customer environments, including those with challenging infrastructure, security, connectivity, or operational constraints.
  • Make engineering trade-offs among speed, robustness, security, maintainability, and customer needs.
  • Own hands-on deployment of company products into customer environments.
  • Work directly from customer sites, particularly during discovery, trials, integration, and deployment.
  • Configure, integrate, deploy, test, and troubleshoot products across cloud, on-premises, and potentially disconnected or edge environments.
  • Diagnose technical issues across the full stack, resolving problems directly or working with specialist Engineering teams as required.
  • Act as the technical link between customers in the field and Product and Engineering teams.
  • Capture structured feedback, technical findings, and lessons from deployments.
  • Identify recurring customer requirements and opportunities to improve products.
  • Reproduce field issues and provide Engineering teams with clear technical evidence and context.

Desired Qualifications

  • Experience deploying or supporting systems in live operational or mission-critical environments.
  • Experience with one or more of AI/ML, data engineering, geospatial systems, or edge computing.
  • Experience deploying solutions into disconnected, bandwidth-constrained, or otherwise challenging environments.
  • Experience working in defence, national security, emergency services, or critical infrastructure.

About the Company

Rowden

Edge computing for defence and security

Rowden Technologies designs and delivers mission-critical edge computing and distributed sensor systems for environments with limited or unreliable connectivity. It handles end-to-end design, integration, sovereign manufacturing, and long-term managed services to support defence, national security, and emergency services. Its products include Trove for frontline generative AI, Magos for cost-effective signal processing and communications production, and Dovetail for modular edge-system integration, enabling rapid, secure decision-making even in denied environments. The company differentiates itself by prioritizing edge solutions with low connectivity, acting as a prime systems integrator for large programmes, offering sovereign manufacturing and lifecycle support, and pursuing projects like automated ML deployment to UAS for AUKUS Pillar II to reduce dependence on traditional defence contractors.

Company size
51-200
Company stage
Grant
Total funding
$33.7M
Headquarters
Filton, United Kingdom
Founded
2017

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