Key Skills

Job Description

We are hiring for Engineering Manager Below are details CORE COMPETENCIES Engineering Management | Microservices Architecture | Event-Driven Systems Cloud Platforms (GCP, Ali cloud) | Kafka | Solace & Messaging | DevOps & CI/CD Distributed Systems | Kubernetes & Docker | Technical Leadership Retail Domain Expertise | Agile & Roadmap Planning | People Development REQUIRED SKILLS & QUALIFICATIONS Technical Expertise 12+ years of software engineering experience; 3+ years leading engineering teams of 10 or more. Deep expertise in microservices architecture and event-driven systems (Apache Kafka, Solace, AWS MSK, or equivalent). Hands-on cloud experience on GCP/Ali cloud and their services. Strong foundation in Java/Kotlin and Spring Boot for backend systems. Proven track record delivering CI/CD pipelines and DevOps practices in a production environment. Experience with containerisation (Docker, Kubernetes) Database proficiency: PostgreSQL, MySQL, or equivalent; awareness of NoSQL and caching patterns (Redis/ElastiCache). Familiarity with API design (REST, GraphQL, gRPC) and integration patterns (ESB migration, strangler fig). Retail / Domain Context (Preferred) Experience with retail or e-commerce platform modernization Understanding of omnichannel retail architecture Leadership & Soft Skills Demonstrated ability to manage hiring, performance, and career development for distributed engineering teams. Excellent stakeholder communication - able to translate technical complexity into clear business language. Strong agile practitioner; experience with SAFe or LeSS in large program contexts is a plus. Comfortable operating in ambiguity and driving decisions in a fast-paced transformation environment. Education Bachelor's or Master's degree in Computer Science, Engineering, or a related field. KEY RESPONSIBILITIES Engineering Excellence Define and enforce Dev & QE best practices across squads Own Tech Design and Implementation approach Establish and operate DevOps pipelines and practices Drive AI enablement across engineering workflows Delivery & Execution Accountable for overall Sprint Execution and capacity planning Facilitate and unblock work across all Engineering Leads Manage RAAIDD - with emphasis on unblocking technical dependencies Coordinate Release management in collaboration with the client Drive Go/No-Go decisions collaboratively with client’s stakeholders Own Production Cutover strategy and facilitation Agile & Ceremonies Champion and embed Agile Ways of Working across teams Manage sprint estimations, velocity tracking, and capacity accountability Track all standard Agile/Scrum metrics and component KPIs People & Resources People management - performance, growth, and engagement Assess resource requirements and skill sets; flag gaps proactively Act as closest leadership touchpoint to Squads, ELs, and engineers Governance & Financials Manage tech costs and drive platform/people cost optimisation Measure and report on Delivery, Quality, Time, Cost, and Scope metrics Lead Change Request impact assessments Align dependencies across squads and external teams Stakeholder Collaboration (Amigos Model) Collaborate across Product, Architecture, Data Architecture, PM, EL, QA, Legacy Team, and BAs Operate at multi-squad level bridging Engineering and Delivery roles

Core Responsibilities

Lead engineering practices, technical design, delivery execution, DevOps, release management, and production cutovers across multiple squads. Manage people and resources, delivery governance and costs, Agile practices, dependencies, and stakeholder collaboration.

Requirements

Requires 12+ years of software engineering experience, including 3+ years leading teams of 10 or more, with strong expertise in microservices, event-driven systems, cloud platforms, Java or Kotlin, and Spring Boot. Also requires experience with CI/CD, containers, databases, API and integration patterns, and engineering team development; retail experience and a bachelor's or master's degree in a related field are specified.