TQINE0034_5077 - Engineering Program Leadership & Technical Delivery Support

Job Type: Permanent

Work Mode: Onsite (Client)

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 technofunctional 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.

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