Citi is hiring a Senior Java Engineer to lead the technical transformation of its global cheque ... Own the platform's data architecture across Oracle, Microsoft SQL, and MongoDB - governing schema ...
Citi is hiring a Senior Java Engineer to lead the technical transformation of its global cheque ... Own the platform's data architecture across Oracle, Microsoft SQL, and MongoDB - governing schema ...
Work with product managers, data scientists, ML engineers, and other stakeholders to understand ... Architect and implement robust, cloud-native MLOps/LLMOps pipelines and distributed AI/ML ...
Work with product managers, data scientists, ML engineers, and other stakeholders to understand ... Architect and implement robust, cloud-native MLOps/LLMOps pipelines and distributed AI/ML ...
Mlops Data Engineer information
What is an MLOps data engineer?
MLOps Data Engineers are professionals who blend expertise in machine learning (ML), operations (Ops), and data engineering to streamline the deployment and management of ML models in production environments. They design and maintain data pipelines, automate workflows, and ensure the scalability, reliability, and reproducibility of machine learning systems. Their role bridges the gap between data scientists and IT operations, enabling seamless integration of ML models into real-world applications.
What are the key skills and qualifications needed to thrive as an MLOps data engineer?
To thrive as an MLOps Data Engineer, you need a strong background in data engineering, machine learning workflows, and software development, usually supported by a degree in computer science or a related field. Expertise with cloud platforms (such as AWS, GCP, or Azure), CI/CD pipelines, containerization tools (like Docker and Kubernetes), and familiarity with orchestration frameworks are typically required, along with certifications in cloud or data engineering. Strong problem-solving abilities, collaboration, and clear communication set professionals apart in this role. These skills and qualities are critical to efficiently deploying scalable machine learning solutions and ensuring smooth collaboration between data science and engineering teams.
What are some common challenges MLOps data engineers face when deploying machine learning models into production?
MLOps Data Engineers often encounter challenges such as ensuring seamless integration between data pipelines and model serving infrastructure, managing consistent data quality, and automating model retraining and monitoring. Another common hurdle is maintaining scalability and reliability as data volumes grow, and efficiently collaborating with data scientists, software engineers, and DevOps teams. Addressing these challenges requires strong communication skills, familiarity with cloud platforms, and a proactive approach to troubleshooting and automation.
What is the difference between Mlops Data Engineer vs Data Scientist?
| Aspect | Mlops Data Engineer | Data Scientist |
|---|---|---|
| Required Skills | Machine learning deployment, cloud platforms, scripting, data pipelines | Statistical analysis, programming, data visualization, machine learning modeling |
| Certifications | Cloud certifications, ML engineering courses | Data science certifications, statistical courses |
| Work Environment | Data pipelines, cloud infrastructure, ML deployment systems | Data analysis, modeling, research environments |
| Industry Usage | Tech companies, AI-focused firms, cloud service providers | Research institutions, analytics firms, tech companies |
The main difference between an Mlops Data Engineer and a Data Scientist lies in their focus areas. Mlops Data Engineers specialize in deploying, maintaining, and scaling machine learning models within production environments, emphasizing infrastructure and automation. Data Scientists primarily focus on analyzing data, building models, and deriving insights. Both roles require strong technical skills, but their day-to-day tasks and career paths differ significantly.
Are MLOps Data Engineers in demand?
MLOps Data Engineers are in high demand due to the increasing adoption of machine learning and AI across industries. They are skilled in deploying, managing, and maintaining ML models using tools like Docker, Kubernetes, and cloud platforms, making their expertise highly sought after in data-driven organizations.
Is MLOps required for data engineers?
MLOps is increasingly important for data engineers involved in deploying and maintaining machine learning models, as it encompasses practices like automation, monitoring, and version control. While not always mandatory, knowledge of MLOps tools such as Docker, Kubernetes, and CI/CD pipelines enhances a data engineer's ability to support scalable and reliable ML systems.
What are popular job titles related to Mlops Data Engineer jobs in Delaware?
For Mlops Data Engineer jobs in Delaware, the most frequently searched job titles are:
What job categories do people searching Mlops Data Engineer jobs in Delaware look for?
The top searched job categories for Mlops Data Engineer jobs in Delaware are:
What cities in Delaware are hiring for Mlops Data Engineer jobs?
Cities in Delaware with the most Mlops Data Engineer job openings:
Full-time
Medical, Dental, Vision, Life, Retirement, PTO
Posted 28 days ago
Citibank rating
8.4
Based on 179 frontline employees who took The Breakroom Quiz
39th of 174 rated banks
Job description
Citi is hiring a Senior Java Engineer to lead the technical transformation of its global cheque payment platform - a critical infrastructure at the heart of high-volume financial transaction processing. In this senior engineering role within the Payments Platform organisation, you will combine deep hands-on coding in Java with platform strategy ownership, guiding a scrum team through the modernisation of core payment systems from legacy mainframe architectures to cloud-native microservices. This is a rare opportunity to architect and deliver at scale while embedding AI-driven practices into both the platform and the engineering workflow.
Responsibilities
Required qualifications & skills
Beneficial skills & qualifications
What we offer
Joining Citi means taking ownership of engineering that operates at genuine global scale. This role offers the platform, the people, and the technical challenge to do your most impactful work - with the seniority and visibility to shape how payments engineering evolves at one of the world's leading financial institutions.
Build the future of global payments engineering at Citi - apply today and bring your expertise to a platform that moves the world's money.
Job Family Group:
Technology
Job Family:
Applications Development
Time Type:
Full time
Primary Location:
New Castle Delaware United States
Primary Location Full Time Salary Range:
$156,160.00 - $234,240.00
In addition to salary, Citi's offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.
Most Relevant Skills
Please see the requirements listed above.
Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.
Anticipated Posting Close Date:
Aug 14, 2026
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.
Illinois residents - AI Notice and Right
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.
Responsibilities
- Design and build production-grade Java microservices for a high-volume, low-latency cheque payment platform, authoring reusable frameworks, conducting architecture reviews, and setting the technical standard for the team.
- Architect event-driven, fault-tolerant distributed systems using Apache Kafka - covering message schema design, topic partitioning, consumer group strategies, and exactly-once processing semantics.
- Define and execute the engineering roadmap for modernising the cheque payment platform, migrating global components from monolithic mainframe applications to scalable, cloud-native microservices.
- Own the platform's data architecture across Oracle, Microsoft SQL, and MongoDB - governing schema design, query optimisation, indexing strategies, and data consistency patterns across relational and NoSQL stores.
- Drive AI-powered engineering quality across the team - integrating tools such as GitHub Copilot and LLMs (including Gemini) for automated test generation, vulnerability scanning, and enhanced payment processing accuracy.
- Lead performance engineering for JVM-based applications - profiling hotspots, tuning garbage collection, optimising thread management, and improving critical settlement processing paths.
- Own the security and compliance posture of the platform through threat modelling, vulnerability assessments, and secure design reviews, ensuring alignment to engineering excellence standards across CI/CD, DevOps, and cloud-native delivery.
- Act as the primary engineering point of contact for the cheque processing pillar, communicating platform health, delivery progress, and engineering strategy to senior business and technology stakeholders.
Required qualifications & skills
- Extensive hands-on Java engineering experience in high-throughput, production-grade environments, including JVM performance tuning, GC optimisation, and thread and memory profiling.
- Proven ability to design and deliver microservices-based architectures using Spring Boot or Spring MVC, with hands-on expertise in RESTful API design, service decomposition, and inter-service communication patterns.
- Deep practical knowledge of Apache Kafka, including topic design, partitioning strategies, consumer groups, exactly-once semantics, and high-throughput stream processing.
- Hands-on expertise with Oracle SQL and MongoDB, covering schema design, query optimisation, indexing, aggregation pipelines, sharding, and replica set configuration.
- Cloud-native engineering experience with OpenShift, AWS, Kubernetes, and Docker - including container orchestration, autoscaling, and cloud-native deployment practices.
- Hands-on ownership of CI/CD pipelines using tools such as Jenkins, Gradle, and Maven, with experience in DevOps practices, observability tooling such as Grafana, and distributed tracing.
- Demonstrated experience delivering at scale within Agile or SAFe frameworks, including PI planning, cross-team dependency management, and programme-level governance.
Beneficial skills & qualifications
- Familiarity with real-time ML model serving, MLOps practices, RAG patterns, or agentic AI frameworks such as LangChain or AutoGen in an enterprise or regulated environment.
- Experience leading large-scale legacy modernisation programmes - migrating mainframe components written in COBOL, Assembler, or C++ into cloud-native microservices.
- Hands-on Python skills applied to data pipeline engineering, AI and ML integration, and workflow automation.
- Knowledge of reconciliation and exception handling patterns within payment settlement workflows.
- Experience with chaos engineering, fault injection, and production readiness reviews as part of a resilience testing practice.
What we offer
Joining Citi means taking ownership of engineering that operates at genuine global scale. This role offers the platform, the people, and the technical challenge to do your most impactful work - with the seniority and visibility to shape how payments engineering evolves at one of the world's leading financial institutions.
- Technical leadership at scale, with end-to-end ownership of a mission-critical global payment platform and clear senior visibility across technology and business.
- A hands-on engineering culture that values technical depth at every level of seniority - you will stay close to the code while driving platform strategy.
- Access to cutting-edge tooling, cloud-native infrastructure, and AI-powered development practices as part of a major payments modernisation programme.
- Hybrid working model with 3 days in the office and 2 days working remotely, offering flexibility alongside strong team collaboration.
- Structured learning and development opportunities to deepen expertise in distributed systems, AI integration, and financial technology at enterprise scale.
- Competitive financial wellbeing package, including salary, performance-based reward, and a comprehensive suite of employee benefits.
- Access to wellbeing and family support programmes designed to help you perform at your best inside and outside of work.
Build the future of global payments engineering at Citi - apply today and bring your expertise to a platform that moves the world's money.
Job Family Group:
Technology
Job Family:
Applications Development
Time Type:
Full time
Primary Location:
New Castle Delaware United States
Primary Location Full Time Salary Range:
$156,160.00 - $234,240.00
In addition to salary, Citi's offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.
Most Relevant Skills
Please see the requirements listed above.
Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.
Anticipated Posting Close Date:
Aug 14, 2026
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.
Illinois residents - AI Notice and Right
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.
About Citigroup Inc
Sourced by ZipRecruiter
We live in an increasingly complex world. Companies these days are either born global or are going global at record speed. Business and geopolitics are forging an entirely new dynamic and consumers now expect financial services to be a seamless part of their digital lives. Citi is a bank that’s uniquely positioned for this moment. Through our vast global network and our on-the-ground expertise, we can connect the dots, anticipate change and empathize the needs of our clients and customers in ways that other banks simply cannot. Citi's mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress. We have set expectations for how we must act to bring our mission to life. These expectations are at the heart of our Leadership Principles – we take ownership, we deliver with pride and we succeed together.
Industry
Banking and credit intermediation
Company size
5,001 - 10,000 Employees
Headquarters location
New York City, NY, US