Job Responsibilities
Operate as either a Staff Full Stack Development Engineer (Individual Contributor) or an Engagement Lead (Management Track).
Own and deliver complex technical initiatives across multiple engagements or strategic programs.
Lead the design and implementation of enterprise-scale architectures and modernization initiatives.
Solve complex engineering challenges, including agentic AI architectures, evaluation frameworks, and COBOL-to-Java modernization.
Define and drive cross-program technical strategy, reference architectures, and engineering standards.
Collaborate with Enterprise Architecture teams to align target-state solutions with business objectives.
Design scalable, resilient, and high-performance enterprise integration solutions.
Lead cloud transformation initiatives, including PCF-to-GCP migrations and IBM MQ-to-Kafka modernization.
Establish and drive AI-Driven Software Development Lifecycle (AIDLC) standards across engagements.
Design and implement Agentic AI architectures, Small Language Model (SLM) strategies, and Retrieval-Augmented Generation (RAG) solutions.
Define AI evaluation frameworks and governance standards for enterprise AI applications.
Present AI productivity metrics, ROI, and value realization frameworks to client engineering leadership.
Serve as a trusted technical advisor to senior client stakeholders and engineering leaders.
Influence engineering practices and architectural decisions across multiple engagements.
Management Responsibilities (Engagement Lead)
Lead multiple workstreams, PODs, or strategic engagements simultaneously.
Manage and mentor a team of 3–6 engineers, fostering technical growth and career development.
Own project planning, staffing, demand forecasting, and resource allocation.
Drive delivery governance, business continuity planning (BCP), and program health.
Monitor project KPIs, delivery metrics, risks, and overall client satisfaction.
Lead estimation, delivery planning, and engineering pyramid optimization.
Coach engineering managers and technical leads while promoting team health and engagement.
Required Technical Skills
Java and Spring Boot
Microservices Architecture
GitHub and GitHub Copilot
Maven
PostgreSQL
Docker
Jira and Confluence
Google Cloud Platform (GCP)
Google Kubernetes Engine (GKE)
Cloud Run
Cloud SQL
Pub/Sub
Apache Kafka
SonarQube
Harness CI/CD
Terraform
Camunda or Appian
Vertex AI
IBM Watsonx for Z (preferred)
Agentic AI Frameworks (Agents & Skills)
Model Context Protocol (MCP)
Retrieval-Augmented Generation (RAG)
Enterprise Integration Patterns
AI Evaluation Frameworks
Leadership & Preferred Qualifications
Proven experience defining enterprise architecture and technical strategy across multiple programs.
Strong expertise in cloud-native application modernization and legacy system transformation.
Experience driving AI adoption and engineering productivity initiatives at scale.
Excellent stakeholder management and executive communication skills.
Demonstrated ability to mentor senior engineers and build high-performing teams.
Strong delivery ownership with a focus on quality, scalability, and business outcomes.
Recognized as a trusted advisor to client engineering leadership with impact beyond a single engagement.
https://www.linkedin.com/company/cogniify-ai/?originalSubdomain=in
Consultbae India
ConsultBae is a people-powered recruitment & IT organization. We help companies build amazing tech products with Staff Augmentation empowered by Technology & Innovation. Our Services Include Digital Transformation, Workforce Hiring Services, IT Staffing, AI & ML Product Solutions to B2B Business.
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