Software Engineering Manager

Job description

Req ID: 61821 Job Function: Software Engineering Posting Start Date: 13/08/2026 Posting End Date: 19/08/2026 Division: Digital Job Location: IND-Bengaluru-RMZ Ecoworld Advertised Salary: Competitive Job Req ID: Posting Date: Function: Location: Salary: ## **About the role** The Software Engineering Manager coordinates the execution of the engineering strategy and roadmap that supports BT's commercial strategy through cross functional business partnering and the participation of a team that pursues innovation as well as engineering excellence. ## **What you’ll be doing** 1. AI Driven Product Development (PDLC) - Own and lead AI driven product development across the full Product Development Lifecycle (PDLC), ensuring consistent adoption of AI first engineering practices across design, solutioning, development, and testing. - Provide technical leadership and oversight to ensure teams deliver high quality, production ready solutions that meet defined quality, performance, and test coverage standards. - Oversee impact analysis and architectural alignment, ensuring solutions are scalable, secure, cost efficient, and aligned with platform, architectural, and enterprise standards. - Be accountable for end to end engineering outcomes, turning problem statements from Product Owners and Operations into measurable improvements in colleague experience and business value. 2. AI Enabled ServiceNow Engineering - Lead the integration and strategic use of AI capabilities within the ServiceNow platform, enabling AI assisted design, development, build, and deployment at scale. - Oversee delivery of enhancements and new capabilities that improve ServiceNow functionality, usability, automation, and operational efficiency across BT Group. - Drive innovation and technology adoption, shaping AI led solutions that support IT transformation and continuously improve the colleague experience. 3. Production Stability, Release Confidence & Continuous Improvement - Ensure service stability and release quality, overseeing root cause analysis, remediation, and prioritisation of production issues and systemic improvements. - Establish and monitor engineering and release quality metrics, driving predictable, on time delivery aligned to operational and business priorities. - Drive continuous improvement initiatives to enhance product quality, reduce technical debt, improve delivery speed, and optimise operational efficiency across the service lifecycle. 4. AI Assisted Engineering, Automation & Developer Productivity - Champion the use of AI and automation to improve engineering productivity across development, testing, deployment, and documentation. - Set expectations and standards for AI assisted ways of working, ensuring consistent, responsible, and effective use of AI tools across teams. - Evaluate and drive adoption of emerging tools, frameworks, and patterns, balancing innovation with measurable gains in quality, speed, and cost efficiency. 5. Governance, Security & Responsible AI - Own engineering governance across development, test, and production, ensuring solutions meet security, compliance, reliability, and audit requirements. - Define and enforce standards for secure and responsible AI usage, including data handling, prompt safety, auditability, and risk controls. - Partner closely with Architecture, Security, Legal, and Compliance teams to embed guardrails that protect the enterprise while enabling rapid, safe delivery. 6. Engineering Leadership, Culture & Collaboration - Manage, coach, and develop software engineering teams, creating a high performing, inclusive, and engaged engineering culture. - Act as a technical and people leader, promoting collaboration, ownership, and accountability across squads. - Remove delivery blockers and provide clear technical direction, enabling teams to deliver predictably and at scale. - Serve as a trusted engineering partner to Product Owners, Platform, Operations, and stakeholders, shaping sustainable, enterprise grade AI and ServiceNow solutions. ## **Essential Skills / Experience** Engineering & AI Leadership - Proven experience leading AI driven product development across the PDLC with accountability for outcomes, not just delivery (Skill Level: 3 – Advanced) - Strong software engineering background with ability to navigate code, logs, and debug complex production issues, without being hands on day to day (3 – Advanced) - Experience providing technical direction and architectural oversight across teams (3 – Advanced) - Software Development Lifecycle (SDLC) expertise, including quality, release, and operability considerations (3 – Advanced) ServiceNow & Platform Engineering - Leadership experience delivering on ServiceNow or comparable enterprise platforms, ensuring scalability, governance, and reliability (3 – Advanced) - Strong understanding of AI enabled engineering patterns (LLMs, agents, RAG, APIs, event driven integration) (3 – Advanced) Delivery, Operations & Continuous Improvement - Experience managing engineering delivery, releases, and production stability in complex environments (3 – Advanced) - Strong Continuous Improvement mindset, driving measurable quality, efficiency, and automation gains (3 – Advanced) - Ability to own operational outcomes, lead incident response, and ensure learning is embedded (3 – Advanced) DevOps, Environments & Governance - Solid understanding of DevOps, CI/CD, and multi environment governance, sufficient to oversee and challenge delivery (3 – Advanced) - Experience operating within technology governance, security, and compliance frameworks, balancing control with speed (2 – Intermediate) - Strong understanding of Responsible AI, data handling, and risk management practices (3 – Advanced) Leadership, Culture & Ways of Working - Proven people leadership experience, including performance management, coaching, and team development (3 – Advanced) - Strong