Senior Software Development Engineer – Technical Lead, AI Focus

Emploi pas sur LinkedIn

🕒 il y a 2 mois

🇺🇸 États-Unis – Télétravail

⏳ Contrat

🟠 Senior

🧑‍💻 Développeur Full-Stack

👻 Score fantôme 49%

Ce que ça veut dire : la probabilité que cette offre reste ouverte sans recrutement actif.Comment le lire : 60 % ou plus, on pense que c'est une offre fantôme. Un score plus bas est moins inquiétant.Comment on la calcule : ancienneté, republications, postes ouverts vs taille de l'équipe, rapidité de clôture, et si le salaire est indiqué.À noter : une estimation à partir de données publiques, pas un jugement sur l'entreprise. De vraies offres peuvent avoir un score élevé, alors prenez-le comme un indice, pas comme un fait.

Postuler Maintenant

Trouver des Emplois à Distance Similaires

Configurer une alerte email pour les nouveaux emplois

📊 Vérifiez votre score de CV pour ce poste

Améliorez vos chances d'obtenir un entretien en vérifiant votre score de CV avant de postuler.

Télécharger le CV

Delan Associates Inc.

Site WebLinkedInTous les Emplois

51 - 200 employés

🎖️ Défense

📦 Logistique

💼 Conseil

Defense • Logistics • Consulting

Delan Associates Inc. est une société de services professionnels et d'ingénierie, fondée en 2002, qui fournit des formations, de l'ingénierie des systèmes, de la maintenance d'installations, un support à l'acquisition et des services de gestion générale principalement aux clients du gouvernement américain et militaires. L'entreprise appuie plusieurs écoles de l'armée américaine avec des services d'instruction et de formation, a fourni la maintenance des installations et le support logistique pour des opérations telles que l'Afghanistan et le Commandement central des États-Unis, et offre une expertise en ingénierie des réseaux et des systèmes, y compris les implémentations SIPR/NIPR. DAI est certifiée SBA 8(a) en tant que Small Disadvantaged Business et collabore avec des sous-traitants de la défense et du gouvernement bien établis.

Description

• Lead a team of developers through new application builds and modernization programs while remaining actively involved in design, coding, review, testing, and troubleshooting • Set technical direction for projects, including architecture, integration patterns, modernization strategy, engineering standards, delivery approach, and technical risk management • Use AI-assisted development tools for code comprehension, generation, refactoring, testing, documentation, and migration planning, validating outputs through engineering judgment • Architect and build fit-for-purpose agents and agentic workflows using LangGraph, A2A, MCP-enabled tools, or comparable technologies • Guide modernization of existing applications by analyzing legacy code, identifying business logic and constraints, defining target architecture, and creating incremental transformation roadmaps • Make pragmatic architecture decisions across APIs, data models, cloud services, security, observability, integration, DevSecOps, and user experience • Mentor developers in software engineering practices, AI-assisted delivery, secure coding, automated testing, maintainable design, and code review • Collaborate with architects, product owners, business stakeholders, client technical teams, and delivery leaders to translate business needs into technical plans • Identify and manage risks in AI-generated software, including brittle code, hidden assumptions, weak tests, security issues, licensing concerns, maintainability gaps, and architecture drift • Create reusable patterns, accelerators, prompts, agents, reference architectures, and engineering practices for modernization delivery

🎯 Exigences

• Significant hands-on software development experience delivering production-quality applications • Experience leading a team of developers, including mentoring, code review, technical planning, delivery guidance, and issue resolution • Experience setting technical direction for software delivery projects, including architecture decisions, engineering standards, delivery patterns, and technical risk management • Experience with at least one modern programming language such as Java, Python, JavaScript/TypeScript, C#, Go, or comparable technologies • Experience with new application development, application modernization, or both • Practical experience using AI-assisted development tools for coding, refactoring, testing, documentation, debugging, code comprehension, and architecture exploration • Experience reviewing and validating AI-generated code for correctness, security, maintainability, performance, testability, and alignment with architecture and requirements • Familiarity with agentic development concepts and experience building or prototyping agents using LangGraph, A2A, MCP-enabled tools, or similar frameworks • Strong understanding of software architecture and engineering fundamentals, including APIs, data models, integration patterns, automated testing, version control, CI/CD, secure coding, observability, and operational support • Ability to analyze existing codebases, identify modernization opportunities, define target-state architecture, and create incremental transformation plans • Ability to communicate technical direction clearly to developers, architects, stakeholders, and client teams • Growth mindset and enthusiasm for AI's impact on software development • Preferred: experience modernizing legacy applications, architecting cloud-native applications, using agent and orchestration frameworks, designing enterprise-integrated agents, defining architecture guardrails and engineering playbooks, DevSecOps, RAG, vector databases, tool calling, evaluation harnesses, prompt engineering, LLM application testing, agent observability, and Agile delivery environments