Technology Lead Analyst – Infrastructure Orchestration in Mississauga

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 dynamic 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, Devin, Cursor, ChatGPT / Claude for Development.
• Ability to assess, govern, and apply AI coding tools responsibly, including awareness of security risks, IP/licensing implications, and enterprise compliance requirements.
• Experience in Financial Services or a large-scale, complex, and/or global enterprise environment.
• Proven Project Management experience — ability to lead workstreams, coordinate across teams, and manage delivery timelines.
• Strong analytic and diagnostic skills — ability to decompose complex technical problems, identify root causes, and devise actionable solutions.
• Ability to work effectively in a matrix environment and collaborate with geographically distributed, virtual teams.
• Ability to work independently, multitask, and take full ownership of components within a project or initiative.
• Demonstrated ability to perform under pressure, manage tight deadlines, and adapt to shifting requirements or priorities.
• Proven track record of driving operational process change and improvement through technology.
• Consistently demonstrates clear and concise written and verbal communication skills.
• Comprehensive knowledge of design metrics, analytics tools, benchmarking activities, and related reporting to identify and apply best practices.

Preferred / Nice-to-Have Qualifications

• Experience with additional IaC or configuration management tools (e.g., Terraform, Ansible, Puppet, Salt).
• Familiarity with CI/CD platforms (e.g., Jenkins, GitHub CI, Harness, Tekton/Lightspeed).
• Understanding of secrets management tools (e.g., HashiCorp Vault).
• Exposure to observability and monitoring stacks (e.g., Grafana, Prometheus, ELK).
• Experience contributing to or building internal developer platforms (IDPs).
• Hands-on exposure to agentic AI frameworks (e.g., LangChain, AutoGen, CrewAI) and their applicability to infrastructure automation workflows.
• Experience integrating AI code review tools (e.g., CodeRabbit, Sourcery, SonarQube AI) into CI/CD pipelines.
• Familiarity with LLM-based documentation generation tools (e.g., Mintlify, Swimm) for maintaining platform documentation at scale.
• Knowledge of cybersecurity principles as they apply to infrastructure automation, IaC pipelines, and AI-generated code validation.
• Experience with GitOps workflows and version-controlled infrastructure pipelines.

Education

• Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field; or equivalent practical experience.
• Master's degree preferred.