DE-ET-Deployment Engineer Senior

Customer Engagement & Solution Delivery

• Partner with clients to shape business problems into solution hypotheses aligned to PDLC (Product Delivery Lifecycle).
• Drive co-creation workshops, rapid prototyping, and outcome-led solution design.
• Translate ambiguous requirements into architecture, data flows, and scalable engineering constructs.
• Deliver end-to-end solutions spanning discovery, POC, MVP, and enterprise-scale rollout.
• Anchor business value realization (cycle time reduction, cost efficiency, productivity gains) as part of delivery.

Engineering & Development

• Build AI-first, cloud-native applications and platforms using modern engineering practices.
• Develop accelerators, reusable components, and engineering patterns for repeatable delivery.
• Work across APIs, microservices, event-driven systems, and composable architectures.
• Integrate GenAI copilots, agents, and automation into enterprise workflows.
• Drive engineering excellence (performance, scalability, resilience, security).

Emerging Technology Enablement

• Apply and scale cutting-edge capabilities across:
  • Generative AI & Agentic AI (LLMs, copilots, multi-agent systems)
  • Data platforms & real-time intelligence
  • Cloud-native & platform engineering (Azure/AWS/GCP)
  • Automation & intelligent workflows
• Evaluate, incubate, and industrialize new tools, frameworks, and accelerators within DE.
• Contribute to future readiness initiatives (e.g., advanced compute paradigms, next-gen architectures).

Collaboration & Stakeholder Management

• Act as a bridge between business stakeholders, product owners, and engineering teams.
• Collaborate with cross-functional squads (architects, data scientists, designers, and product teams).
• Provide technical leadership in FDE engagements, influencing architecture and delivery direction.
• Present value articulation, solution architecture, and outcomes to CXO and senior stakeholders.

Deployment & Support

• Lead CI/CD, DevSecOps, and production rollout strategies.
• Ensure seamless transition from POC to scaled deployment across environments.
• Troubleshoot and resolve complex production issues in client environments.
  • Drive continuous optimization using telemetry, feedback, and usage insights.