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Full Stack Group Manager

Job in Mississauga, Ontario, Canada
Listing for: Citigroup Inc.
Full Time position
Listed on 2026-09-23
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Full Stack Developer, Backend Developer
Salary/Wage Range or Industry Benchmark: 201000 - 302000 CAD Yearly CAD 201000.00 302000.00 YEAR
Job Description & How to Apply Below
Position: Full Stack Application Group Manager

The Full Stack Application Group Manageris a senior management level position responsible for accomplishing results through the management of a team or department in an effort to establish and implement new or revised application systems and programs in coordination with the Technology Team. The overall objective of this role is to drive applications systems analysis and programming activities.
Responsibilities:

  • Manage multiple teams of professionals to accomplish established goals and conduct personnel duties for team (e.g. performance evaluations, hiring and disciplinary actions)
  • Provide strategic influence and exercise control over resources, budget management and planning while monitoring end results
  • Utilize in-depth knowledge of concepts and procedures within own area and basic knowledge of other areas to resolve issues
  • Ensure essential procedures are followed and contribute to defining standards
Technical Leadership & Architecture
  • Architect Scalable Solutions:Design and architect secure, resilient, and high-performance full-stack applications capable of supporting complex Agentic AI workflows.
  • Define Standards:Establish and enforce technical standards, design patterns, and best practices for full-stack development and AI agent integration across the organization.
  • Technology Evaluation:Evaluate emerging AI frameworks, libraries, and tools to continuously evolve our technical stack and maintain a competitive edge.
Full Stack Application Development
  • Hands-on Engineering:Lead and contribute to hands-on development across the entire application stack, ensuring clean, modular, and production-ready code.
  • Frontend Excellence:Oversee the creation of highly responsive, intuitive, and accessible user interfaces using
    React
    , Type Script, Tailwind CSS, and modern state management libraries.
  • Robust Backend Services:Design and build scalable microservices and RESTful/gRPC APIs using
    Python (FastAPI/Flask)and/or
    Java (Spring Boot).
  • Data Management:Architect data models and integrate with relational databases (PostgreSQL, Oracle) and No

    SQL/Vector databases (MongoDB, Couchbase, Milvus, or Pinecone) to support stateful AI operations.
Agentic AI & LLM Integration
  • Orchestrate Autonomous Agents:Design and implement stateful, multi-turn, and multi-agent workflows using frameworks such as
    Lang Chain, Lang Graph, CrewAI, Auto Gen, or Semantic Kernel
    .
  • Arc Platform Integration:Deploy and manage agents on
    Arc
    , Citi's mandatory Agentic AI runtime, ensuring strict compliance with network policies, egress allow lists, and resource quotas.
  • Model Context Protocol (MCP):Implement and consume
    MCP servers
    as the mandatory intermediaries to securely mediate agent calls to downstream business systems and databases.
  • LLM Gateway Management:Integrate applications with
    R2 D2 (Citi's secure GenAI LLM gateway) to access models from Azure, Vertex, and Stellar, managing token usage, rate limits, and billing analytics.

Recommended

Qualifications:

  • 10+ years of relevant experience
  • Strong managerbcapabilities with a track record of mentoring engineers and driving technical delivery.
  • Analytical mindset with a passion for solving complex, ambiguous problems in a fast-paced environment.
Technical Stack & Competencies
  • Frontend:Deep expertise in
    React
    , Type Script, HTML5, CSS3,
  • Backend:Advanced proficiency in
    Python
    (FastAPI, Flask, Celery) and/or
    Java
    (Spring Boot, Spring Cloud).
  • Agentic AI:Proven experience with
    Lang Chain, Lang Graph. Solid understanding of Retrieval-Augmented Generation (RAG), vector embeddings, semantic search.
  • APIs & Protocols:Strong experience with RESTful APIs, gRPC, Web Sockets, and
    Model Context Protocol (MCP).
  • Cloud & Dev Ops:Hands-on experience with
    Kubernetes / Red Hat Open Shift
    , Docker, and CI/CD platforms (Harness, Jenkins, or Tekton).
  • Security:Strong understanding of enterprise security concepts, including OAuth2, OIDC, TLS, Hashi Corp Vault etc
  • Databases:

    Experience with SQL (PostgreSQL, Oracle) and No

    SQL (MongoDB, Couchbase) databases.

Education:

  • Bachelor’s degree/University degree or equivalent experience
Job Family Group:

Technology

Job Family:

Applications Development

Time Type:

Full time

Primary Location Full Time Salary Range:

$ - $

Most Relevant Skills

Please see the requirements listed above.

Other Relevant Skills Automated Processing and AI

We use automated processing, including artificial intelligence, for our legitimate business interests (or our reasonable and appropriate business purposes) to identify and align the candidate's skills and abilities with a specific job opening.…

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