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Engineering Senior Lead Analyst

https://www.citi.com/ Logo

Citi

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Location:
United States , Tampa

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

171228.00 - 206500.00 USD / Year
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Job Description:

Citibank, N.A. seeks an Engineering Senior Lead Analyst for its Tampa, Florida location. Working at Citi is far more than just a job. A career with us means joining a team of more than 230,000 dedicated people from around the globe. At Citi, you’ll have the opportunity to grow your career, give back to your community and make a real impact.

Job Responsibility:

  • Create and deploy AI based Guardrail solution for Generative AI to protect enterprise against data leakage, jailbreak, prompt injection with millisecond response latency while serving multi thousands request per minute
  • Architecture, Engineering, and maintenance of analytics services comprising open-source and commercial tooling for enterprise use cases leveraging private & public cloud container technologies like Blue Data / HP Ezmeral, RedHat OpenShift, GKE
  • Orchestrate & manage accelerated analytics infrastructure including GPU hardware and related software suites for the enterprise
  • Engineering & maintenance of big data analytics components including ingestion and consumption leveraging tools like Datameer, Anaconda, R
  • Engineering certification and manage enterprise-wide deployment of open-source components adhering to enterprise risk management frameworks
  • Engineer deployments for various commercial artificial intelligence and machine learning tools including Data Robot, Dataiku, H20, Jupyter Notebooks, and Python/R distributions
  • Facilitate and participate in the functional and technical evaluation of new technologies deployed internally and externally in coordination with multiple stakeholders
  • Build Architecture and engineering process for life cycle maintenance of Business Intelligence product like MicroStrategy, IBM Cognos and integration with data warehouse and data lake solutions
  • Create turn-key analytics service solution including hybrid infrastructure spanned across data center and public cloud infrastructure for business application consumption
  • Oversee implementation of robust event-driven architecture for real time application and analytics, inventory management, capacity planning for hardware and software consumption
  • Evaluate and remediate all security vulnerabilities in service deployments ensuring compliance with enterprise security commitments
  • Create automated workflows to provide uniform autonomous experience of business on provisioning, operations, and maintenance of scalable distributed platform
  • Define patterns to facilitate seamless data consumption layer from multiple data storage platforms like HDFS, RDMS, and object store for modeling and analytics workload within enterprise security standards
  • Foster business application towards adoption of the right toolset for business use cases and provide guidance for modern hardware acceleration layers implementation
  • Provide fault tolerant highly available solutions that comply with organizational disaster recovery standards
  • Implement end-to-end security for data in motion and rest
  • Strategize continuous delivery pipelines for business artifacts while integrating with standard development tools that include Jfrog Artifactory, Jenkins, BMC RLM, and Git
  • Provide necessary validation layers to meet regulatory guidelines for the firm

Requirements:

  • Requires a Bachelor’s degree, or foreign equivalent, in Computer Science, Computer Engineering, Software Engineering or related field
  • 6 years of progressively responsible, post-baccalaureate experience as a Software Engineer, Data Engineer, Technical Consultant, or related position in a global technology consulting and software services organization
  • 6 years of experience must include: Deliver turn-key data analytics services using hybrid infrastructure spanned across data center and public cloud platform(s) for application and end user consumption
  • Engineer and productionize analytics services using private cloud container technologies like Blue Data / HP Ezmeral or similar
  • Design and develop Artificial Intelligence & Machine Learning solutions offering tools and capabilities including Data Robot, Dataiku, H20, GPUs
  • Enable self-service analytics solution using Arcadia Data or similar over distributed data storage platforms, including HDFS, Hive
  • Engineering integrations of analytics tooling including Dataiku and similar with federated data platforms like Starburst and Snowflake using hybrid cloud architecture patterns
  • Provide Business Intelligence System Infrastructure Administration and maintenance for tools like MicroStrategy and IBM Cognos while participating in framework analysis, design patterns, including vulnerability management and application security
  • Identify areas to reduce manual effort and increase Customer Experience, participate in end-to-end review of faults and work with multiple vendors to deliver effective solutions
What we offer:
  • medical, dental & vision coverage
  • 401(k)
  • life, accident, and disability insurance
  • wellness programs
  • paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays
  • discretionary and formulaic incentive and retention awards

Additional Information:

Job Posted:
December 31, 2025

Expiration:
January 27, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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