Engineering Manager

Engineering Manager Drive engineering excellence at scale. Lead high-impact teams, shape platform strategy, and build resilient, future-ready systems. Minimum Qualifications B.E / B.Tech (preferred) 12–18+ years of experience in engineering, solution architecture, or platform leadership 5+ years of hands-on technical leadership and people management experience Strong hands-on experience in TypeScript, Node.js, React.js, Next.js, AWS, and Apache suite Proven experience working in large-scale product/platform organizations (preferably global/regulatory environments) Strong experience leveraging AI in SDLC workflows, including GitHub Copilot, Cursor, AI-assisted code reviews, guardrail systems, and prompt engineering frameworks Role Overview As a Engineering Manager, you will lead high-performing engineering teams while driving platform strategy, architectural alignment, AI-enriched SDLC adoption, and product excellence.

You will work closely with Product, Architecture, and Business teams to deliver scalable, high-quality solutions in a fast-paced environment. Key Responsibilities Technical Leadership & Strategy Define and drive technology strategy, architecture roadmaps, and platform vision Translate business goals into scalable and actionable engineering solutions Manage technical standards, upgrade roadmaps, version control, and engineering backlogs Connect architectural components across systems to ensure cohesive platform design Support platform solutions that extend beyond individual teams to the broader ecosystem Introduce and institutionalize AI-driven SDLC frameworks, including Copilot adoption strategy, prompt libraries, coding templates, quality guardrails, security constraints, and model usage guidelines Evaluate and integrate AI coding assistants (GitHub Copilot, Cursor, etc.) into engineering workflows to accelerate design, development, and documentation Engineering Excellence Own and track key engineering metrics (quality, performance, scalability, delivery) Drive engineering best practices, governance, and standardization Ensure strong code quality, reusable components, and system resilience Troubleshoot design challenges and guide teams toward cost-effective, high-quality solutions Work at scale and speed, ensuring efficient and reliable delivery Implement AI-powered code quality automation, test generation, and code-review pipelines Establish engineering guardrails for ethical AI usage, data confidentiality, prompt safety, and validation mechanisms Drive adoption of reusable AI prompt banks, coding accelerators, architectural templates, and cross-team engineering patterns Team Leadership & Talent Development Lead, mentor, and grow high-performing engineering teams Identify skill gaps, maintain skill matrix, and drive training initiatives Support talent planning and future capability building Act as both a technical advisor and process coach to engineering teams Upskill teams on AI-first engineering practices, responsible AI usage, prompt engineering, and AI toolchains Establish L&D programs focused on Copilot effectiveness, AI debugging, and accelerated delivery using AI tools Collaboration & Stakeholder Management Partner closely with Product Managers, Technical Leads, and Business teams Drive cross-functional collaboration and alignment across domains Influence stakeholders and enable data-driven decision-making frameworks Ensure alignment between product, engineering, and business operations Evangelize AI-led ways of working across business, architecture, and engineering stakeholders Delivery & Execution Lead complex technical projects and platform initiatives Contribute to product strategy and roadmap execution Establish quality benchmarks for internal teams and external vendors Guide teams in building prototypes, blueprints, and scalable solutions Implement AI-based accelerators for design documentation, test case generation, estimation models, and development workflows Ensure consistent usage of AI-enabled development templates, automated review pipelines, and SDLC automation tools Strategic & Leadership Skills Strong ability to balance speed, cost, architecture quality, and long-term sustainability Expertise in governance models, decision frameworks, and platform alignment Proven ability to drive multi-platform transformation programs Strong stakeholder management and influencing skills Ability to shape organizational adoption of AI-driven engineering, define governance, and maintain high bar for responsible usage Champion AI-first engineering culture grounded in safety, guardrails, and continuous productivity gains Success Measures Well-defined multi-year platform strategy aligned with business goals Reduced architectural fragmentation and improved time-to-market High adherence to engineering standards and enterprise guidelines Enhanced scalability, performance, and system resilience Strong, aligned, and high-performing engineering culture Demonstrable efficiency improvements leveraging AI (velocity, quality, cycle time) Consistent usage of AI frameworks, prompt libraries, templates, and SDLC automation across teams Interested candidates, please share your updated resume at namrata.singh@travelex.com