Citigroup

Citigroup

MarTech Data Engineering & Application Lead, Vice President

New York New York United States, USA · Exec · Full-time

Sponsorship not specified$142k-$213kDetected 2 days ago
PythonJavaFastAPIFlaskSpringDistributed SystemsCode ReviewGitPostgreSQLRedisAWSGCPKubernetesHelmCI/CDJenkinsPrometheusGrafanaKafkaData EngineeringAgileJiraConfluenceTest Automation

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odds of building a lasting career here

60Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role85
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

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About the role

  • Beneficial Skills & Qualifications - AI Coding Tools: Experience leveraging developer productivity tools such as GitHub Copilot, Devin, or equivalent AI-assisted tools.
  • Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays.
  • Available offerings may vary by jurisdiction, job level, and date of hire.

Responsibilities

  • Engineering Direction & Governance: Provide technical direction and architectural oversight of an engineering squad within Wealth Technology, ensuring adherence to enterprise design principles, scalability standards, and engineering best practices.
  • Modern AI Engineering Practices: Drive team adoption of modern developer productivity tools, including AI coding agents (such as GitHub Copilot and Devin), establishing frameworks for accelerated software delivery.
  • Stakeholder Alignment & Solution Strategy: Partner with business leaders, product managers, and cross-functional teams to translate strategic business requirements into robust, forward-looking technical roadmaps using Jira, Confluence, and GitHub.
  • API & Backend Service Engineering: Design and implement resilient, low-latency microservices and API gateways using FastAPI, Flask, or Spring Boot, backed by PostgreSQL and Redis.
  • Cloud & Container Infrastructure: Deploy and manage resilient containerized applications on Kubernetes and Red Hat OpenShift, utilizing Helm charts, CI/CD automation (Jenkins, Tekton, Harness), and observability suites (Prometheus, Grafana, AppDynamics, Splunk).
  • Cloud-Native & Container Platforms: Proven track record building and deploying microservices on Kubernetes or Red Hat OpenShift, with cloud experience on AWS or GCP and container packaging using Helm.
  • 12+ years of progressive software engineering and application development experience, including experience acting as a technical lead or senior engineer within an agile delivery team.
  • Proven track record building and deploying microservices on Kubernetes or Red Hat OpenShift, with cloud experience on AWS or GCP and container packaging using Helm.

Requirements

  • Core Languages: Deep hands-on proficiency in Python and/or Java, with strong relational database design and complex querying skills in SQL.
  • Deep hands-on proficiency in Python and/or Java, with strong relational database design and complex querying skills in SQL.
  • Bachelor's or Master's degree in Computer Science, Software Engineering, Information Technology, or a related quantitative discipline.

Compensation

  • $142,320.00 - $213,480.00
  • In addition to salary, Citi's offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards.
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This listing is sourced directly from Citigroup's careers page and normalized into a canonical job model.