Engineering Program Leadership

Job Summary

Lead end-to-end execution of digital platform engineering programs

Design and implement robust, scalable, and secure technical architectures

Align technical execution with product and business goals

Drive innovation and optimize engineering efficiency through DevOps and automation

Should be well versed with the tech. skill – Finapps / FinOps, Backbase, Koni / Kony,

the person must be fully technical

Responsibilities

Engineering Program Leadership: Lead cross-functional engineering teams in the delivery of platform initiatives. Coordinate planning, execution, and technical decision-making to ensure successful project outcomes.

• Technical Strategy & Architecture : Define and implement enterprise-level engineering

strategies, cloud-native architectures, and best practices for scalable digital platforms

aligned with Microsoft Azure.

• Development Oversight & Quality Assurance: Guide and assisting engineering teams on

software development standards, review technical artifacts, and enforce code quality,

performance, and security compliance as per customers governance standards.

• Business & Technical Alignment: Collaborate with product managers and techno functional leaders to ensure engineering priorities align with functional requirements and

business strategy.

• DevOps & Automation Enablement: Implement DevOps pipelines and methodologies to

streamline deployment processes and increase development velocity with a focus on

CI/CD and cloud-native tooling.

• Technology Innovation & Adoption: Assess emerging digital technologies and incorporate

relevant innovations into platform design, particularly around mobility platforms and cloud

optimization.

• Cloud Architecture & Optimization: Provide deep architectural guidance for Microsoft

Azure-based platforms including hybrid and multi-cloud models, container orchestration,

and serverless architectures.

• Full-Stack Development Leadership: Offer oversight and direction for both front-end and

back-end engineering teams, ensuring seamless, integrated, and testable solutions.

• Event-Driven & Microservices Architecture Implementation: Guide the design and

rollout of services based on containerization strategies, distributed systems, API-first

development, and event-based workflows.

• Data Engineering & Integration Oversight: Lead and monitor implementation of ETL pipelines, real-time data flows, and integration architectures to support robust analytics capabilities.