Engineering Manager

Objective of the Role

As an Engineering Manager, you will serve as the technical and people leader for a high-performing engineering team, responsible for building scalable, intelligent, and cloud-native products. You will own the architecture, delivery, and evolution of modern microservices platforms, while also driving the adoption of AI-driven engineering practices, automation, and intelligent product capabilities.

You will work closely with product, data, and platform teams to build AI-enabled solutions, scalable backend services, and high-performance distributed systems that support evolving business and customer needs.

You Will

• Lead, coach, and mentor 3–4 Engineering Leads and a team of 25–35 engineers, fostering a culture of ownership, innovation, and continuous learning.

• Provide strong people leadership, mentoring, and communication, ensuring team growth and high performance.

• Drive technical vision, architecture decisions, and engineering excellence across backend platforms and services.

• Lead the design and development of scalable microservices-based systems using Java and cloud technologies.

• Promote adoption of AI-assisted development tools, automation, and intelligent engineering workflows to improve productivity.

• Collaborate with Product Managers, Data Scientists, AI/ML teams, QA, and DevOps engineers in an agile development environment.

• Plan, prioritize, and manage engineering deliverables across global and cross-border teams.

• Ensure best practices in code quality, observability, performance, reliability, and security.

• Drive cloud-native architecture and platform scalability using containerized and distributed systems.

• Encourage innovation by exploring Generative AI, LLM integrations, and AI-powered product features where relevant.

• Build an inclusive and high-performing culture that attracts, develops, and retains top engineering talent.

• Continuously grow as a technology leader by staying updated with modern engineering and AI trends.

You Must Have

• 11+ years of software engineering experience, preferably in a fast-paced product organization.

• 5+ years of engineering leadership experience managing large engineering teams.

• Strong experience leading backend and platform engineering teams.

• Expertise in Java ecosystem (Java, Spring Boot, REST APIs) and distributed systems architecture.

• Hands-on experience building microservices architectures, scalable APIs, and event-driven systems.

• Experience developing solutions using cloud platforms (AWS and/or Azure).

• Experience working with AI-powered systems, data platforms, or integrating ML/AI services into applications.

• Strong understanding of AI-enabled engineering tools (GitHub Copilot, AI coding assistants, automation frameworks) to improve developer productivity.

• Experience with open-source technologies and modern stack, including:

• Java / Spring Boot
• Frontend frameworks (React / Angular)
• NoSQL databases (MongoDB, Cassandra)
• Search technologies (Elasticsearch)
• Caching systems (Redis, Aerospike)
• • Experience with containerization and orchestration (Docker, Kubernetes, EKS) at scale.
• • Strong understanding of CI/CD pipelines, DevOps practices, and release strategies including:

Big Pluses If You

• Have experience building AI-driven products or integrating Generative AI capabilities into applications.

• Are comfortable collaborating across engineering, product, and data science teams.

• Have strong expertise in concurrency, multithreading, distributed systems, and high availability architectures.

• Have built systems that scale to millions of users or high transaction volumes.

• Are passionate about building products that customers love.

• Stay current with emerging technologies including Generative AI, cloud-native development, and modern architecture patterns.

• Demonstrate founder mindset, ownership, and strong problem-solving ability.