Lead Associate - AI /.NET
PuneHybrid
AI Summary
Lead Associate - AI / .NET at Davies is a senior technical authority responsible for designing, developing, and delivering high-quality cloud-native software solutions, providing hands-on technical leadership, mentoring developers, and driving continuous improvement in engineering practices across the UK&I technology estate.
About this role
The Lead Associate - AI / .NET is a senior technical authority within the engineering organisation, responsible for designing, developing, and delivering high‑quality software solutions that power Davies’ UK&I technology estate. The role provides hands‑on technical leadership across modern engineering practices, cloud‑native architectures, and Agile delivery environments, ensuring that engineering squads consistently deliver robust, scalable, secure, and maintainable software. Acting as a role model for engineering excellence, the Lead Associate - AI / .NET mentors developers at all levels, promotes best practice, and drives continuous improvement in code quality, patterns, tooling, and development workflows. The role is responsible for solving complex technical problems, setting engineering direction, and collaborating with cross‑functional teams to ensure solutions meet strategic and operational objectives. This role is ideal for a highly skilled, T‑shaped engineer with deep specialism in one or more areas (back‑end, front‑end, cloud, DevOps) and broad exposure across the modern Microsoft‑centric stack including .NET, C#, React/TypeScript, Azure, Terraform, and SQL Server.
Key Responsibilities
- Lead the design and development of high‑quality, cloud‑native applications aligned to strategic technologies.
- Write clean, maintainable, secure code following SOLID principles, design patterns, and OWASP guidelines.
- Develop microservices, containerised applications, and event‑driven components.
- Implement automated testing approaches including TDD, integration testing, and CI/CD pipeline automation.
- Support SRE (site reliability engineering) practices such as observability, resilience engineering, and performance tuning.
Skills, Knowledge & Expertise
- 8–10+ years of professional software engineering experience.
- Strong proficiency in C# and .NET (or Python).
- Modern front‑end experience with React, Angular, or Vue.
- Advanced experience with Azure (or AWS/GCP equivalents).
- Strong expertise in microservices, event‑driven architecture, and Domain‑Driven Design.
- Strong SQL Server and Entity Framework capabilities.
- Test‑driven development and automated test practices.
- CI/CD pipelines and DevOps tooling.
- Secure coding practices and familiarity with OWASP principles.
Skills
AngularAWSAzureC#CI/CDDevOpsDomain-Driven DesignEntity FrameworkEvent-driven ArchitectureGCPMicroservices.NETOWASPPythonReactSQL ServerTDDTerraformTypeScriptVue
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