The Opportunity :

As an Engineering Manager, you will own and drive end-to-end product engineering for global customers. This is a hands-on leadership role - you are expected to be deeply technical, work closely with customers and lead high-performing teams to deliver scalable, production-ready systems.

You will be part of the engineering leadership group shaping engineering excellence, AI-driven development practices and execution rigor at Digit88.

Key Responsibilities :

- Own end-to-end delivery of SaaS / GenAI programs (scope, timelines, quality)

- Translate ambiguous customer inputs into clear requirements, user stories and architecture

- Drive execution across backend (Node.js), frontend (React), mobile (React Native) and data platforms

- Design and deliver scalable, reliable, event-driven, production-ready systems

- Provide architecture leadership; review system design, code quality and best practices

- Drive adoption of microservices, event-driven architecture and modern data engineering

- Mentor teams on AI-assisted development (Copilot, GenAI tools)

- Act as a trusted technical partner; lead architecture, trade-off and roadmap discussions

- Manage customer expectations on delivery, quality and timelines

- Own Agile execution (Scrum), including sprint planning, delivery tracking and continuous process improvement

- Build, mentor and scale high-performing engineering teams, fostering a culture of ownership, accountability and continuous growth; hire top talent

- Track engineering metrics, risk management and issue resolution

- Estimate effort, timelines and team structure accurately

- Guide CI/CD, DevOps practices and cloud architecture (AWS/Azure/GCP)

- Own engineering excellence and quality by enforcing structured logging, standardized error handling, strong observability (metrics, tracing, alerting), rigorous code reviews and shift-left practices (security and testing).

- Drive high-quality delivery through a balanced strategy of automation and manual testing to ensure reliable, scalable and production-ready systems.

Requirements :

- BE/MS in Computer Science or related field with 10+ years of experience in product engineering.

Strong hands-on expertise in :

- Backend : Node.js (must-have), APIs, microservices

- Frontend : React

- Cloud : Azure / AWS / GCP

- Data Engineering : ETL, Databricks, distributed data systems

- Architecture : event-driven systems, scalable distributed systems

- Proven ability to design, review and explain system architecture clearly

- Proven experience delivering AI-native products in production environments

- Strong experience in Agile delivery, estimation and program management

- Experience working with global customers (US/EU) in a client-facing role

- Excellent written and verbal communication across engineering, business and customer stakeholders

- Demonstrated success in building and leading high-performing teams

- Strong analytical thinking and structured problem-solving ability

- High ownership, reliability and execution focus; consistently delivers despite constraints

- Strong attention to detail while maintaining a clear, big-picture perspective

Good to have skills :

- Hands-on experience in :

- Mobile : React Native (iOS & Android)

- Comfortable across multiple tech stacks (Java & Python) with the ability to quickly adapt