Technology Lead Analyst - Infrastructure Orchestration

Role OverviewThe
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 ResponsibilitiesLead 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 Qualifications6–10 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 generationDevin
– Autonomous AI software engineering agent for end‑to‑end task executionCursor
– AI‑native code editor with deep codebase context and intelligent refactoringChatGPT / 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 QualificationsExperience 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.EducationBachelor's degree
in Computer Science, Engineering, Information Systems, or a related field;
or equivalent practicalexperience.Master's degree
preferred.Job Family Group:
TechnologyJob Family:
Systems & EngineeringTime Type:
Full timePrimary Location Full Time Salary Range:
$111,600.00 - $161,600.00Most Relevant Skills
Please see the requirements listed above.Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.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.This job opening is for an existing job vacancy.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.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 review Accessibility at Citi.View Citi’s EEO Policy Statement and the Know Your Rights poster.
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