Staff FDE

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 new 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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  Strong 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