Job Responsibilities

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Own an entire mid-size engagement or lead a major workstream within a strategic transformation program.

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Serve as the primary technical point of contact for clients at the module/workstream level.

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Lead the design, architecture, and end-to-end delivery of assigned program modules.

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Define coding standards, architecture guidelines, and engineering best practices.

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Translate high-level business requirements into scalable technical solutions and execution plans.

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Scope and estimate current workstreams while driving technical solutioning.

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Drive AI-Driven Software Development Lifecycle (AIDLC) adoption and measure productivity improvements using AI tools such as GitHub Copilot and Speckit.

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Conduct architecture reviews, code reviews, and pull request (PR) reviews to ensure code quality.

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Mentor and guide junior and mid-level engineers, fostering technical excellence.

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Manage client technical relationships through design discussions, demos, and solution presentations.

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Build and maintain high-performance, resilient, and regulatory-compliant enterprise applications.

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Design and implement event-driven architectures using Kafka.

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Develop and maintain applications using Java, Spring Boot, and microservices architecture.

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Work with GCP services including GKE, Cloud SQL, Pub/Sub, Cloud Run, and Vertex AI.

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Design coexistence and modernization strategies for Mainframe-to-Java transformations.

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Develop Retrieval-Augmented Generation (RAG) and Agentic AI solutions.

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Design advanced context engineering strategies for enterprise AI applications.

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Integrate enterprise systems using Model Context Protocol (MCP).

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Define AI model evaluation strategies and improve developer productivity through AI-enabled engineering practices.

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Collaborate with cross-functional teams to deliver scalable and secure enterprise solutions.

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Contribute reusable assets, engineering playbooks, and organizational best practices.

Required Technical Skills

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Java and Spring Boot

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Microservices Architecture

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Event-Driven Architecture (Kafka)

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GitHub, GitHub Copilot

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Maven

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PostgreSQL

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Docker

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Jira and Confluence

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Google Cloud Platform (GKE, Cloud SQL, Pub/Sub, Cloud Run)

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Harness CI/CD

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SonarQube

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Vertex AI

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IBM Watsonx for Z (preferred)

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Terraform

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Camunda or Appian

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Retrieval-Augmented Generation (RAG)

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Agentic AI Frameworks

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Model Context Protocol (MCP)

Preferred Skills

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Experience leading application modernization and workflow transformation programs.

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Robust understanding of cloud-native architecture and distributed systems.

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Experience implementing AI-powered software development practices.

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Excellent client-facing communication and stakeholder management skills.

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Proven technical leadership with mentoring and team development experience.

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Ability to drive engineering excellence, innovation, and delivery ownership.

Company
Webside - https://cogniify.ai/
Linkedin - https://www.linkedin.com/company/cogniify-ai/?originalSubdomain=in

📌 Staff FDE (Madhavaram)
🏢 Recognized
📍 Madhavaram