Job description

We are seeking a technically strong Lead Software Engineer to spearhead the development of next‑generation AI products within our Applications & GovCon division. The role blends deep .NET and React.js experience with a passion for emerging technologies such as generative AI, Vibe coding, and modern DevOps practices. You will mentor a cross‑functional team, drive architectural decisions, and deliver scalable, secure solutions that power our enterprise contract management platform.

Define and own the technical architecture for AI‑enabled .NET and React applications.
Lead a team of engineers through full software development lifecycle, from design to production.
Collaborate with product, data science, and UX teams to translate AI concepts into usable features.
Implement best practices for code quality, testing, CI/CD, and security.
Mentor junior developers and promote continuous learning of new frameworks and tools.
Evaluate and integrate emerging technologies such as generative AI models and Vibe coding.
Drive performance optimization for both backend services and front‑end interfaces.
Ensure compliance with enterprise standards and GovCon regulatory requirements.
Participate in code reviews, technical workshops, and architecture forums.
Contribute to the product roadmap by providing technical insights and feasibility assessments.

7+ years of professional software development experience, with at least 3 years in a lead role.
Strong expertise in C#/.NET Core and building RESTful APIs.
Proficient in React.js, modern JavaScript/TypeScript, and front‑end architecture.
Hands‑on experience with AI/ML integration, preferably generative AI models.
Familiarity with Vibe coding, containerization (Docker/Kubernetes), and cloud platforms (Azure/AWS).
Solid understanding of software design patterns, microservices, and event‑driven architectures.
Experience with CI/CD pipelines, automated testing, and DevOps best practices.
Excellent problem‑solving skills and ability to make data‑driven technical decisions.
Strong communication and leadership abilities, capable of mentoring diverse teams.
Bachelor’s or higher degree in Computer Science, Engineering, or related field.

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Alerts as often as hourly. Reach new roles while the pile is still small.

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Someone shared one job with you. ASAI keeps finding the rest.

Scored, not searched. Every role ranked against your actual profile.

Alerts as often as hourly. Reach new roles while the pile is still small.

Skill gaps, spelled out. See exactly which requirements you don't meet yet.

Verified jobs, only. Say no to ghost jobs. Your time deserves respect.

Job description

Define and own the technical architecture for AI‑enabled .NET and React applications.
Lead a team of engineers through full software development lifecycle, from design to production.
Collaborate with product, data science, and UX teams to translate AI concepts into usable features.
Implement best practices for code quality, testing, CI/CD, and security.
Mentor junior developers and promote continuous learning of new frameworks and tools.
Evaluate and integrate emerging technologies such as generative AI models and Vibe coding.
Drive performance optimization for both backend services and front‑end interfaces.
Ensure compliance with enterprise standards and GovCon regulatory requirements.
Participate in code reviews, technical workshops, and architecture forums.
Contribute to the product roadmap by providing technical insights and feasibility assessments.

7+ years of professional software development experience, with at least 3 years in a lead role.
Strong expertise in C#/.NET Core and building RESTful APIs.
Proficient in React.js, modern JavaScript/TypeScript, and front‑end architecture.
Hands‑on experience with AI/ML integration, preferably generative AI models.
Familiarity with Vibe coding, containerization (Docker/Kubernetes), and cloud platforms (Azure/AWS).
Solid understanding of software design patterns, microservices, and event‑driven architectures.
Experience with CI/CD pipelines, automated testing, and DevOps best practices.
Excellent problem‑solving skills and ability to make data‑driven technical decisions.
Strong communication and leadership abilities, capable of mentoring diverse teams.
Bachelor’s or higher degree in Computer Science, Engineering, or related field.