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Citibank, N.A. United Kingdom logo

Technology Lead Analyst – Infrastructure Orchestration

Citibank, N.A. United Kingdom
  • πŸ‡¨πŸ‡¦ Canada
  • Hybrid
  • Staff / Principal
  • 1 day ago
  • IaC
  • NoSQL
  • Python
  • Ansible
  • Rust
  • OpenShift
  • AWS
  • AI
  • Cursor
  • Risk Management
  • Kubernetes
  • EC2
  • IAM
  • RDS
  • EKS
  • Tomcat
  • NGINX
  • Oracle
  • PostgreSQL
  • MongoDB
  • MySQL
  • ChatGPT
  • Claude
  • Configuration Management
  • Terraform
  • Puppet
  • CI/CD
  • Jenkins
  • GitHub
  • Secrets Management
  • Grafana
  • Prometheus
  • LangChain
  • AutoGen
  • CrewAI
  • SonarQube
  • GitOps
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Role Overview

TheTechnology Lead Analyst – Infrastructure Orchestrationis a senior-level position within Citi's Technology Infrastructure group, responsible for leading the design, architecture, and hands-on development of anInfrastructure as Code (IaC) platform β€” specifically theInventory Orchestration system β€” used to provision, configure, and manage a broad range ofmiddleware 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 championAI-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 usingPython,Ansible,Rust, and related technologies.
  • Architect scalable, maintainable IaC solutions that integrate with cloud and container platforms includingOpenShift andAWS, ensuring alignment with enterprise standards.
  • Champion AI-assisted development practices across the team β€” evaluate, onboard, and govern the use of tools such asGitHub Copilot,Devin,Cursor, and other AI coding assistants to accelerate development velocity and improve code quality.
  • Serve as atechnology 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 atechnology domain roadmap for the Inventory Orchestration platform, ensuring alignment with business and architectural goals β€” including a forward-looking strategy forAI 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 necessarysystem 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 andtranslate 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 β€” 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 β€” 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, particularlyOpenShift (Kubernetes) andAWS (e.g., EC2, S3, IAM, RDS, EKS).
  • Demonstrated experience designing and implementingInfrastructure 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 toassess, 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 inFinancial Services or a large-scale, complex, and/or global enterprise environment.
  • ProvenProject Management experience β€” ability to lead workstreams, coordinate across teams, and manage delivery timelines.
  • Stronganalytic and diagnostic skills β€” ability to decompose complex technical problems, identify root causes, and devise actionable solutions.
  • Ability to work effectively in amatrix environment and collaborate with geographically distributed, virtual teams.
  • Ability towork independently, multitask, and take full ownership of components within a project or initiative.
  • Demonstrated ability toperform under pressure, manage tight deadlines, and adapt to shifting requirements or priorities.
  • Proven track record of drivingoperational process change and improvement through technology.
  • Consistently demonstratesclear and concise written and verbal communication skills.
  • Comprehensive knowledge ofdesign 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 withCI/CD platforms (e.g., Jenkins, GitHub CI, Harness, Tekton/Lightspeed).
  • Understanding ofsecrets management tools (e.g., HashiCorp Vault).
  • Exposure toobservability and monitoring stacks (e.g., Grafana, Prometheus, ELK).
  • Experience contributing to or buildinginternal developer platforms (IDPs).
  • Hands-on exposure toagentic AI frameworks (e.g., LangChain, AutoGen, CrewAI) and their applicability to infrastructure automation workflows.
  • Experience integratingAI code review tools (e.g., CodeRabbit, Sourcery, SonarQube AI) into CI/CD pipelines.
  • Familiarity withLLM-based documentation generation tools (e.g., Mintlify, Swimm) for maintaining platform documentation at scale.
  • Knowledge ofcybersecurity principles as they apply to infrastructure automation, IaC pipelines, and AI-generated code validation.
  • Experience withGitOps 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

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Most Relevant Skills

Please see the requirements listed above.

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Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.

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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. Additionally, if you so choose, or consent, we can match your skills and abilities to other suitable roles at Citi.

Importantly, all our hiring processes and decisions, including determining your suitability for a role, are conducted, checked, and decided by individuals. Our automated processing and AI do not involve relying on automatic or autonomous decision-making. Please refer to any Jurisdictional Considerations, with specific provisions for your country (where relevant) for further details.

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This job opening is for an existing job vacancy.

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Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.

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If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity reviewAccessibility at Citi.

View Citi’sEEO Policy Statement and theKnow Your Rights poster.

Technology Lead Analyst – Infrastructure Orchestration Β· Citibank, N.A. United Kingdom

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