Role Overview The Technology Lead Analyst – Infrastructure Orchestration is a senior-level position within Citi's Technology Infrastructure group, responsible for leading the design, architecture, and hands‑on development of an Infrastructure as Code (IaC) platform — specifically the Inventory Orchestration system — used to provision, configure, and manage a broad range of middleware and database components across the enterprise. This role sits at the intersection of platform engineering and infrastructure automation, requiring a deep technical practitioner who can both architect scalable solutions and contribute high‑quality code. The successful candidate will be expected to embrace and champion AI-augmented development practices, leveraging modern developer productivity tools to accelerate delivery, improve code quality, and drive innovation across the team.

Key Responsibilities
- Lead the design and architecture of the Inventory Orchestration IaC platform, encompassing middleware (e.g., messaging brokers, web servers, application runtimes) and database components (e.g., relational, NoSQL, in‑memory stores).
- Drive hands‑on development of automation modules, playbooks, and platform tooling using Python, Ansible, Rust, and related technologies.
- Architect scalable, maintainable IaC solutions that integrate with cloud and container platforms including OpenShift and AWS, ensuring alignment with enterprise standards.
- Champion AI‑assisted development practices across the team — evaluate, onboard, and govern the use of tools such as GitHub Copilot, Devin, Cursor, and other AI coding assistants to accelerate development velocity and improve code quality.
- Serve as a technology subject matter expert (SME) for internal and external stakeholders; provide technical direction across all firm‑mandated controls,



compliance initiatives, and group‑wide projects.
- Define and maintain a technology domain roadmap for the Inventory Orchestration platform, ensuring alignment with business and architectural goals — including a forward‑looking strategy for AI tooling adoption within the engineering workflow.
- Ensure seamless integration of platform functions with broader infrastructure and application ecosystems, verifying that all components meet business and performance objectives.
- Define necessary system enhancements to enable deployment of new products, process improvements, and evolving infrastructure patterns.
- Recommend and evaluate product customizations for system integrations and third‑party tool adoption, including AI‑powered developer productivity platforms.
- Identify problem causality, business impact, and root causes of infrastructure‑related incidents; drive resolution and preventative measures.
- Apply broad knowledge of the infrastructure engineering specialty and translate business requirements into technical solutions, with awareness of competing technologies and industry best practices.
- Mentor and advise junior and mid‑level engineers, including coaching on responsible and effective use of AI development tools.
- Influence engineering decisions across the group through advice, technical counsel, and facilitation of cross‑team services and standards.




- Champion compliance and risk management — assess risk implications of engineering decisions, including those introduced by AI tooling (e.g., code provenance, IP considerations, security vulnerabilities in AI‑generated code); elevate and manage control issues with full transparency.
- Adhere to Citi’s policies and apply sound ethical judgment regarding personal conduct, business practices, and stakeholder engagement. Required Qualifications
- 6–10 years of relevant experience in an Engineering or Platform Engineering role, with a strong focus on infrastructure automation and IaC.
- Hands‑on proficiency in Python for automation scripting, tooling, and platform development.
- Extensive experience with Ansible — writing roles, playbooks, and energetic inventories for middleware and database provisioning at scale.
- Experience with Rust for performance‑critical systems components or platform tooling.
- Working knowledge of container and cloud platforms, particularly OpenShift (Kubernetes) and AWS (e.g., EC2, S3, IAM, RDS, EKS).
- Demonstrated experience designing and implementing Infrastructure as Code (IaC) solutions covering lifecycle management of middleware (e.g., Apache, Tomcat, IBM MQ, Kafka, Nginx) and database technologies (e.g., Oracle, PostgreSQL, MongoDB, MySQL).
- Practical experience with AI‑powered developer tools, including one or more of the following:
- GitHub Copilot – AI pair programming, code completion, and inline documentation generation
- Devin – Autonomous AI software engineering agent for end‑to‑end task execution
- Cursor – AI‑native code editor with deep codebase context and intelligent refactoring
- ChatGPT / Claude for Development – Leveraging LLMs for architecture design, code review, debugging, and documentation -

📌 Technology Lead Analyst – Infrastructure Orchestration (Mississauga)
🏢 Citigroup
📍 Mississauga