Manager, Engineering (Commerce)

Overview

Lead and manage software engineering teams responsible for building and maintaining business-critical Commerce services, owning end-to-end engineering delivery and people development.

What you'll do

• Lead and manage software engineering teams responsible for building and maintaining business-critical Commerce services.
• Own end-to-end engineering delivery, from technical planning and solution design through development, testing, deployment, and production support.
• Partner with Product Managers and stakeholders to define priorities, clarify requirements, manage dependencies, and establish realistic delivery commitments.
• Drive predictable execution while maintaining high standards for software quality, security, scalability, and reliability.
• Identify delivery risks, technical dependencies, and execution bottlenecks, and take proactive measures to address them.
• Establish clear ownership, accountability, and engineering standards across the team.
• Balance feature delivery, technical debt, production stability, and platform modernization.
• Use engineering metrics such as cycle time, lead time, deployment frequency, change failure rate, and operational reliability to identify improvement opportunities.
• Provide technical leadership and direction to engineering teams, ensuring architecture, design decisions, and engineering practices support scalable, secure, and reliable solutions.
• Partner with Principal Developers and Architects to evaluate architectural trade-offs and establish technical direction aligned with product and business priorities.
• Establish accountability for engineering quality, including clean code, automated testing, security, system reliability, and maintainability.
• Coach and develop engineers in technical problem-solving, architectural thinking, and engineering best practices.
• Guide technical risk management, complex issue resolution, and root cause analysis, engaging directly when necessary while empowering engineers to own solutions.
• Partner with Product and Engineering leadership to shape technical roadmaps, manage technical debt, and balance delivery priorities with long-term platform health.
• Build, mentor, and develop high-performing engineering teams with a culture of ownership, accountability, collaboration, and continuous improvement.
• Conduct regular one-on-one meetings, provide actionable feedback, and support individual career development.
• Own performance management, goal setting, coaching and development planning.
• Identify and develop future technical leads and engineering leaders through mentoring and delegation.
• Lead hiring, technical interviews, onboarding, and workforce planning to build strong engineering capabilities.
• Foster psychological safety, constructive technical discussions, and an inclusive team environment.
• Set clear performance expectations, provide regular feedback and coaching, and address performance gaps promptly and constructively.
• Promote knowledge sharing, cross-team collaboration, and reduced dependency on individual contributors.
• Champion the responsible adoption of AI-assisted engineering practices across development, testing, documentation, and operational workflows.
• Identify opportunities to leverage AI to reduce repetitive engineering work, accelerate delivery, and improve software quality.
• Encourage teams to experiment with AI tools while maintaining appropriate engineering review, security, privacy, and quality controls.
• Collaborate with technical leaders to evaluate AI integrations, orchestration patterns, and automation opportunities.
• Establish measurable outcomes for AI adoption, including improvements in engineering productivity, quality, and delivery efficiency.
• Build team capabilities through technical learning sessions, experimentation, and practical AI-enabled engineering initiatives.
• Ensure services meet established reliability, availability, performance, and security expectations.
• Drive production readiness, observability, monitoring, alerting, and incident response practices.
• Lead incident reviews and root cause analysis, ensuring preventive actions are implemented and tracked.
• Improve operational metrics such as Mean Time to Recovery (MTTR), incident frequency, and service availability.
• Establish effective CI/CD practices, automated quality gates, and reliable deployment processes.
• Promote a culture of continuous improvement through retrospectives, technical reviews, and engineering metrics.
• Collaborate with Product, Architecture, Platform, QA, Security, and business stakeholders to align engineering execution with organizational priorities.
• Communicate delivery progress, technical risks, dependencies, and trade-offs clearly to senior leadership.
• Contribute to engineering strategy, technical roadmap planning, and long-term platform evolution.
• Support cross-team initiatives and influence decisions beyond the immediate team.
• Demonstrate sound judgment in balancing business priorities, engineering investment, team capacity, and operational risk.

What you'll need

• Bachelor's degree in Computer Science, Engineering, or equivalent practical experience.
• Typically 8+ years of software engineering experience, including demonstrated experience directly managing software engineers and engineering delivery.
• Strong software development background with hands-on experience in Java, Spring Boot, microservices, and enterprise application development.
• Solid understanding of system design, distributed systems, RESTful APIs, and event-driven architectures, with the ability to engage confidently in technical discussions.
• Experience leading engineering teams responsible for building and operating cloud-based applications, ideally on AWS or comparable platforms.
• Working knowledge of relational databases, messaging systems, API integrations, and containerized applications.
• Proven experience managing engineering delivery, technical priorities, dependencies, and production responsibilities.
• Experience hiring, coaching, developing, and managing the performance of software engineers while building high-performing teams.
• Strong understanding of Agile development practices, CI/CD, automated testing, and DevOps principles.
• Experience establishing engineering standards and improving delivery predictability, software quality, reliability, and operational performance.
• Working knowledge of Generative AI and AI-assisted software engineering practices, including opportunities to improve developer productivity and engineering workflows.
• Ability to partner effectively with Architects, Principal Engineers, and Technical Leads to evaluate architectural trade-offs, manage technical risks, and guide sound engineering decisions.
• Ability to communicate technical priorities and trade-offs clearly, build cross-functional alignment, and resolve competing priorities.
• Demonstrated ownership of engineering outcomes, balancing people development, technical quality, and business priorities.

Nice to have

• Experience leading engineering teams supporting Billing, Payments, Collections, or Commerce platforms.
• Previous experience as a Technical Lead, Staff Engineer, or in an architecture-focused role, bringing additional depth in technical design and engineering decision-making.
• Experience leading large-scale modernization, platform migration, or technical transformation initiatives.
• Experience managing geographically distributed engineering teams or multiple engineering workstreams.
• Exposure to AI-enabled applications, AI-assisted software development, or emerging agentic AI technologies.

Details

• Location: Hyderabad Office, India.
• Work mode: Hybrid, working from the office 2-3 times a week.