Technology Lead Analyst – Infrastructure Orchestration

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); escalate 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 – 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
Ability to assess, govern, and apply AI coding tools responsibly, including awareness of security risks (prompt injection, insecure code suggestions), 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.
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Job Family Group: Technology
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Job Family:Systems & Engineering
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Time Type:Full time
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Primary Location Full Time Salary Range:$111,600.00 - $161,600.00