The Digital S/W Engineer Group Mgr is accountable for management of complex/critical/large professional disciplinary areas. Leads and directs a team of professionals. Requires a comprehensive understanding of multiple areas within a function and how they interact in order to achieve the objectives of the function. Applies in-depth understanding of the business impact of technical contributions. Strong commercial awareness is a necessity. Generally accountable for delivery of a full range of services to one or more businesses/ geographic regions. Excellent communication skills required in order to negotiate internally, often at a senior level. Some external communication may be necessary. Accountable for the end results of an area. Exercises control over resources, policy formulation and planning. Primarily affects a sub-function. Involved in short- to medium-term planning of actions and resources for own area. Full management responsibility of a team or multiple teams, including management of people, budget and planning, to include performance evaluation, compensation, hiring, disciplinary actions and terminations and budget approval.
Responsibilities:
- Design, implement, and deploy software components and solve difficult problems generating positive feedback.
- Effectively coach, help and give feedback to team members.
- Work independently and with team(s) to deliver software product successfully.
- Lead deliveries that are consistently of high quality (secure, testable, maintainable, low-defects, efficient, etc.) and incorporate best practices.
- Review design and code.
- Focus on operational excellence, constructively identifying problems, identifying and building solutions, taking on projects that improve software, making it better and easier to maintain.
- Make improvements to SDLC processes and be the end-to-end owner for all engineering activities from inception to post-implementation.
- Regularly provide insights, lessons learned, risks and opportunities to senior leaders.
- Manage employees and non-employees.
- Manage team and deliveries to the budget.
Recommended Qualifications:
- 15 or more years of relevant experience in development, delivery, and support of mission critical, customer facing applications progressively as engineer, engineer lead and engineer manager.
- Ability to self-learn new technologies and tools.
- Knowledge of Artificial Intelligence, Machine Learning, Large and Small Language Models, Retrieval Augmented Generation, AI Agents, Agentic AI, Generative AI, Predictive AI.
- Experience in using one or more of Copilot, Gemini, Claude, Devin
- Proficient in many, if not all, of these - React, JavaScript, HTML5, Java, Spring Boot, Python, Solace, MQ, JMS, Spring JPA, Hibernate ORM, JDBC, COBOL, Mainframe, Jenkins, Oracle, DB2, MongoDB.
- Strong knowledge of cloud platforms, containers, CI/CD, and SaaS.
- Experience in design, build, and deployment of APIs & Microservices.
- Experience in BDD and test automation.
- Good knowledge of design patterns.
- Ability to design & build scalable and efficient solutions.
- Experience in Agile & Scrum methodologies.
- Experience in building frameworks and reusable shared components.
- Bachelor’s/University degree, Master’s degree preferred
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Job Family Group: Technology------------------------------------------------------
Job Family:Digital Software Engineering------------------------------------------------------
Time Type:Full time------------------------------------------------------
Most Relevant Skills Please see the requirements listed above.------------------------------------------------------
Other Relevant Skills For complementary skills, please see above and/or contact the recruiter.------------------------------------------------------
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Skills Required
- 15 or more years of relevant experience in development, delivery, and support of mission-critical, customer-facing applications, progressing through engineering, engineering leadership, and engineering management roles
- Ability to learn new technologies and tools independently
- Knowledge of artificial intelligence, machine learning, large and small language models, retrieval augmented generation, AI agents, agentic AI, generative AI, and predictive AI
- Experience using one or more of Copilot, Gemini, Claude, or Devin
- Proficiency in relevant software technologies including React, JavaScript, HTML5, Java, Spring Boot, Python, messaging technologies, persistence frameworks, COBOL, mainframe systems, Jenkins, Oracle, DB2, and MongoDB
- Strong knowledge of cloud platforms, containers, CI/CD, and SaaS
- Experience designing, building, and deploying APIs and microservices
- Experience with BDD and test automation
- Knowledge of software design patterns
- Ability to design and build scalable, efficient solutions
- Experience with Agile and Scrum methodologies
- Experience building frameworks and reusable shared components
- Bachelor's or university degree
- Master's degree
Citi Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Citi and has not been reviewed or approved by Citi.
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Healthcare Strength — Benefits coverage is positioned as comprehensive, including health, dental, and vision insurance plus on-site clinics, prescription drug support, and disability coverage. Family-building support such as fertility assistance is described as a notable differentiator within the overall package.
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Retirement Support — Retirement benefits are framed as strong, highlighted by a 401(k) with matching and additional plan options like a Roth 401(k). Financial support is reinforced through discounts and broader financial guidance resources tied to the benefits ecosystem.
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Wellbeing & Lifestyle Benefits — Wellbeing support extends beyond insurance through programs like an Employee Assistance Program, counseling/legal resources, and gym or wellness reimbursement. These offerings increase the perceived total rewards value even when cash compensation sentiment varies by role.
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