Forward Deployed Engineer
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Key skills for this role
Key Skills for This Role
Full Job Posting
Key areas of responsibility
Embed with customers and end users to understand their missions, workflows, technical environments and operational challenges.
Observe how 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 strong relationships with users and become a trusted technical partner who understands both their operational needs and Dovetail's technology.
Design pragmatic technical solutions using Dovetail products alongside customer systems and third-party technologies.
Rapidly 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 appropriate engineering trade-offs between speed, robustness, security, maintainability and customer needs.
Take hands-on ownership of deploying Dovetail products into customer environments.
Spend significant periods working directly from customer sites, particularly during discovery, trials, integration and deployment.
Configure, integrate, deploy, test and troubleshoot Dovetail products across cloud, on-premise and potentially disconnected or edge environments.
Diagnose technical issues across the full stack, resolving problems directly or working with specialist Engineering teams where required.
Act as the technical link between customers in the field and Dovetail's Product and Engineering teams.
Capture structured feedback, technical findings and lessons from deployments.
Identify recurring customer requirements and opportunities to improve Dovetail's products.
Reproduce field issues and provide Engineering teams with clear technical evidence and context.
Key skills, experience and behaviours
Strong software engineering fundamentals, with practical programming experience in Python, JavaScript/TypeScript, Go, Java or similar.
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.
Strong problem-solving skills, with the ability to work through ambiguous or changing requirements and make pragmatic technical decisions.
Able to communicate complex technical concepts clearly across Engineering teams, customer technical teams and end users.
Comfortable taking end-to-end ownership of technical problems, from initial discovery through to deployment and resolution.
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.
Responsibilities
- Customer & problem discovery
- Embed with customers and end users to understand their missions, workflows, technical environments and operational challenges.
- Observe how 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 strong relationships with users and become a trusted technical partner who understands both their operational needs and Dovetail's technology.
- Solution design & engineering
- Design pragmatic technical solutions using Dovetail products alongside customer systems and third-party technologies.
- Rapidly 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 appropriate engineering trade-offs between speed, robustness, security, maintainability and customer needs.
- Deployment & operational ownership
- Take hands-on ownership of deploying Dovetail products into customer environments.
- Spend significant periods working directly from customer sites, particularly during discovery, trials, integration and deployment.
- Configure, integrate, deploy, test and troubleshoot Dovetail products across cloud, on-premise and potentially disconnected or edge environments.
- Diagnose technical issues across the full stack, resolving problems directly or working with specialist Engineering teams where required.
- Product feedback & development
- Act as the technical link between customers in the field and Dovetail's Product and Engineering teams.
- Capture structured feedback, technical findings and lessons from deployments.
- Identify recurring customer requirements and opportunities to improve Dovetail's products.
- Reproduce field issues and provide Engineering teams with clear technical evidence and context.
- Customer & problem discovery - Embed with customers and end users to understand their missions, workflows, technical environments and operational challenges. - Observe how 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 strong relationships with users and become a trusted technical partner who understands both their operational needs and Dovetail's technology. Solution design & engineering - Design pragmatic technical solutions using Dovetail products alongside customer systems and third-party technologies. - Rapidly 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 appropriate engineering trade-offs between speed, robustness, security, maintainability and customer needs. Deployment & operational ownership - Take hands-on ownership of deploying Dovetail products into customer environments. - Spend significant periods working directly from customer sites, particularly during discovery, trials, integration and deployment. - Configure, integrate, deploy, test and troubleshoot Dovetail products across cloud, on-premise and potentially disconnected or edge environments. - Diagnose technical issues across the full stack, resolving problems directly or working with specialist Engineering teams where required. Product feedback & development - Act as the technical link between customers in the field and Dovetail's Product and Engineering teams. - Capture structured feedback, technical findings and lessons from deployments. - Identify recurring customer requirements and opportunities to improve Dovetail's products. - Reproduce field issues and provide Engineering teams with clear technical evidence and context.
Skills
- Essential
- Strong software engineering fundamentals, with practical programming experience in Python, JavaScript/TypeScript, Go, Java or similar.
- 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.
- Strong problem-solving skills, with the ability to work through ambiguous or changing requirements and make pragmatic technical decisions.
- Able to communicate complex technical concepts clearly across Engineering teams, customer technical teams and end users.
- Comfortable taking end-to-end ownership of technical problems, from initial discovery through to deployment and resolution.
- Desirable
- 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 Rowden Technologies
UK engineering company developing resilient edge technology and integrated systems for defence, national security and emergency response organisations.
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