Software Engineering Manager

Datamatics; Bengaluru, Mumbai; On-site; INR 3,800,000 - 7,000,000; Full time

Job summary

Datamatics in Bengaluru is seeking a Software Engineering Manager AI & .NET/Java Engineering to lead cross-functional teams delivering enterprise-scale AI-powered and cloud-native applications. The role centers on AI/Generative AI, with responsibility for LLMs, RAG, multi-agent systems, vector search, and AI-assisted SDLC practices.

The candidate will drive AI adoption across engineering activities, mentor engineers, manage backlogs, and ensure timely delivery with quality.

Qualifications

• 15+ years of software engineering experience with proven engineering management.

Responsibilities

• Lead cross-functional engineering teams delivering AI-powered cloud-native applications.

Skills

Engineering Manager

Tech Leadership

Agile/Scrum

Requirement Analysis

Backlog Management

Team Leadership

Sprint Planning

Stakeholder Management

Code Quality

Mentoring

Process Improvement

Cross-functional Teams

Tools

.NET

Java

MicroFrontend

Job description

We are looking for a Software Engineering Manager AI & .NET/Java Engineering to lead cross-functional engineering teams delivering enterprise-scale AI-powered and cloud-native applications.

The role will have AI/Generative AI at its core, with responsibility for driving solutions using LLMs, RAG, Agentic AI, multi-agent systems, embeddings, vector search, tool/function calling and AI-assisted SDLC practices. The candidate should have strong experience taking AI solutions from POC to production, including evaluation, guardrails, observability, security, responsible AI and cost optimization. The role will also drive AI adoption across software engineering activities such as requirements analysis, legacy-code understanding, code generation/refactoring, automated testing, code review, documentation and defect/root-cause analysis, while measuring improvements through engineering and DORA metrics.

• Experience: 15+ years of experience in Software Engineering with proven experience as an Engineering Manager.
• Technical Leadership: Lead and mentor cross-functional engineering teams, providing technical guidance and ensuring delivery of high-quality software solutions aligned with business objectives.
• Agile Delivery: Lead Agile Scrum ceremonies including Sprint Planning, Daily Stand-ups, Sprint Reviews, and Retrospectives while promoting Agile best practices across the team.
• Requirement Analysis: Collaborate with business stakeholders, product owners, and architects to gather, analyze, and refine business requirements into well-defined technical solutions.
• Backlog Management: Create and refine user stories with clear acceptance criteria, prioritize work with Product Owners, and ensure the engineering backlog is well-managed.
• Team Leadership: Support and coach development teams, resolve technical and delivery impediments, facilitate decision-making, and foster a culture of collaboration and continuous improvement.
• Sprint Execution: Drive sprint planning and execution, monitor progress, manage risks, and ensure timely delivery while maintaining quality standards.
• Stakeholder Management: Act as the primary technical point of contact between engineering teams and business stakeholders, providing regular updates on project status, risks, and mitigation plans.
• Quality & Engineering Excellence: Promote engineering best practices, code quality, design reviews, automation, and continuous improvement initiatives.
• People Management: Mentor team members, support career development, conduct performance reviews, identify training needs, and build high-performing engineering teams.
• Process Improvement: Identify opportunities to improve engineering processes, delivery efficiency, collaboration, and productivity through Agile and Lean methodologies.

Mandatory Skill Set

• Prior experience with product operating model through Enhanced collaboration with Customers and other team members including Scalability and sustainable value creation
• Software Engineering Experience: Minimum 10 years of experience in software development (.Net / Java / MicroFrontend) with strong technical leadership experience.
• Technical Leadership: Proven experience working as a Technical Lead, Engineering Lead, or Software Engineering Manager.
• Agile & Scrum: Strong experience working in Agile Scrum environments with in-depth knowledge of Agile principles, Scrum framework, and delivery methodologies.
• Requirement Gathering: Experience collaborating with business stakeholders to gather requirements, perform analysis, and translate them into technical deliverables.
• Enthusiastic professional ready to align with teams, processes, and technology with continued focus on measurable outcomes.
• Deep understanding on Product Operating model, structure, ways of working
• User Story Management: Experience creating, refining, and managing user stories, acceptance criteria, and sprint backlogs.
• Sprint Planning & Delivery: Hands-on experience in Sprint Planning, backlog prioritization, release planning, and sprint execution.
• Team Management: Experience leading cross-functional software engineering teams, mentoring engineers, and removing delivery impediments.
• Stakeholder Communication: Excellent communication, collaboration, and stakeholder management skills with the ability to drive technical discussions and business alignment.
• Project Delivery: Demonstrated ability to deliver complex software projects on time while managing risks, dependencies, and changing priorities.

Nice to Have

• Hands-on to Product Operating model and structure, ways of working
• Certifications such as ITIL Foundation, TOGAF Foundation/Practitioner, Certified ScrumMaster (CSM), Professional Scrum Master (PSM), PMI Agile Certified Practitioner (PMI-ACP), or equivalent.
• Experience with Agile project management tools such as Jira, Azure DevOps, or similar.
• Knowledge of software architecture, cloud platforms, DevOps practices, and modern software delivery pipelines.
• Experience driving digital transformation, engineering process improvements, and organizational change initiatives.
• Exposure to enterprise architecture frameworks and governance practices.