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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and delivering secure, resilient applications while leading teams through complex delivery processes. Proficient in AI-enabled application development, system architecture, and ensuring high standards of security, performance, and reliability.
Highest-signal resume keywords
Software Engineering ExperienceSystem Design and ArchitectureAI-Enabled Application DevelopmentLeadership and MentoringClient-Facing Communication
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Software EngineeringSystem DesignAI Application DevelopmentAgent OrchestrationAutomated TestingCI/CDCloud PlatformsData IntegrationPerformance EvaluationSecurity Assessment
Soft Skills
Excellent CommunicationJudgementProblem SolvingMentoringLeadership
Tools & Technologies
GoJavaC#PythonJavaScriptTypeScriptReactAWSAzureKubernetes
Certifications & Qualifications
SC Clearance Eligibility
Industry Keywords
GovernmentRegulated EnvironmentsEnterprise SystemsAI SecurityProduction-Grade Systems
Tech Stack
Tools & technologiesAWSAzureCloudJavaJavaScriptKubernetesPythonReactTypeScriptGo
About the role
Key responsibilities & impact- Lead the design and delivery of secure, resilient and production-grade applications
- Remain hands-on across frontend, backend, APIs, data, integration, cloud and deployment
- Build AI-enabled applications and agentic workflows connecting models, tools, data and enterprise systems
- Design agent orchestration, retrieval, context, state, memory, permissions and human oversight
- Establish robust approaches to AI evaluation, security, reliability, observability and cost
- Solve complex problems across architecture, performance, scalability and production operations
- Make pragmatic technical decisions based on evidence and explain trade-offs
- Lead teams through ambiguity and complex delivery
- Raise engineering standards through leadership, mentoring and constructive challenge
- Work closely with clients, architects, product teams and delivery leaders
- Shape programmes from discovery through production
- Influence engineering standards, reusable patterns and technical strategy
- Act as a trusted technical adviser to senior client stakeholders
Requirements
What you’ll need- Exceptional and recent hands-on software engineering experience
- Record of personally delivering complex, production-grade systems
- Deep understanding of modern systems operating end to end
- Strong system-design and architecture capability with ability to implement and validate decisions
- Broad experience across frontend, backend, APIs, databases, automated testing, CI/CD, containers and cloud platforms
- Experience diagnosing issues across application, infrastructure and runtime boundaries
- Ability to master unfamiliar tools and platforms quickly
- Strong judgement across security, performance, reliability, maintainability, observability and cost
- Experience leading and mentoring engineers while remaining technically credible
- Excellent communication and client-facing skills
- Experience working in government, regulated or complex enterprise environments
- Eligibility and willingness to obtain SC clearance
- Practical experience building applications using large language models or other modern AI models
- Experience designing agentic workflows involving tool use, structured outputs and external system integration
- Experience with retrieval-augmented generation, embeddings, grounding and context management
- Experience with agent orchestration, state, memory, permissions, error recovery and human-in-the-loop controls
- Experience evaluating quality, reliability, safety and measurable business outcomes
- Experience with AI security, including prompt injection, data protection, access control and auditability
- Experience with hosted, private, open-weight, sovereign or disconnected deployment patterns
- Experience with AI-assisted software engineering and rigorous validation of generated code and designs
- Experience with technologies such as Go, Java, C#, Python, JavaScript, TypeScript, React, AWS, Azure, Kubernetes, relational databases, event-driven systems, open-weight models, vector search or agent orchestration frameworks
Benefits
Comp & perks- Diversity, Equity & Inclusion commitment
- Reasonable adjustments to the application and assessment process
- Additional application support for care leavers
- Opportunity to work on technically ambitious government and enterprise programmes
- Opportunity to work across modern software engineering, cloud, AI and agentic AI
- Opportunity to test new technologies and approaches
- Influence over engineering standards, reusable patterns and technical strategy
- Direct work with senior client stakeholders
- Mentoring and team-building opportunities
- Meaningful impact across major government and enterprise services