{"id":4245532,"url":"https://alion.io/job/datamatics-engineering-manager-netjava","title":"Engineering Manager - .Net/Java","company":{"id":177798,"name":"Datamatics","domain":"datamatics.com","url":"https://alion.io/company/datamatics","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SmartRecruiters","truth_index":null},"role":"Leadership","role_family":"Leadership","seniority":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Mumbai, India","Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":12,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":".NET","optional":false},{"name":"Agile","optional":false},{"name":"AI 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of concept (POC) to production deployment.\n\n- Promote AI-powered Software Development Lifecycle (SDLC) practices to improve engineering productivity, development efficiency, and code quality.\n\n- Define and manage engineering roadmaps, technical priorities, and delivery plans in alignment with business objectives.\n\n- Drive Agile/Scrum practices, including backlog management, sprint planning, delivery tracking, and continuous improvement.\n\n- Work closely with product owners, architects, business stakeholders, and cross-functional teams to ensure successful execution.\n\n- Ensure adherence to software architecture principles, coding standards, security requirements, and engineering best practices.\n\n- Oversee cloud-native application development, microservices architecture, DevOps practices, and deployment processes.\n\n- Monitor engineering performance metrics, delivery quality, productivity, and team effectiveness.\n\n- Mentor engineering teams, support technical development, and foster a culture of collaboration and continuous learning.\n\nMandatory Skills & Qualifications :\n\n- Strong hands-on development background in .NET and/or Java.\n\n- Proven experience in software engineering team leadership and people management.\n\n- Practical exposure to Generative AI, LLMs, RAG, and Agentic AI.\n\n- Experience implementing or integrating AI-driven solutions into enterprise applications.\n\n- Experience taking AI/GenAI solutions from POC to production.\n\n- Understanding of AI-powered SDLC practices and AI-assisted software engineering.\n\n- Strong understanding of Agile/Scrum methodologies, backlog management, sprint planning, and delivery management.\n\n- Experience with product operating models, stakeholder management, and cross-functional team leadership.\n\n- Good understanding of cloud platforms, microservices, DevOps, and modern software architecture.\n\n- Excellent communication, analytical, problem-solving, and people management skills.\n\nGood-to-Have 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