Job description

We are seeking a highly skilled and results-driven Senior Software Engineer with deep expertise in observability, AIOps, and Java/Python application engineering to join our team and play a pivotal role in advancing the firm s Operating Model AI (OMAI) strategy. This role is central to our transition from traditional operational models to a predictive, efficient, and scalable AI-driven framework. The successful candidate will design, build, and ship production-grade applications, standardize telemetry across the estate using Open Telemetry (OTel), harness AIOps platforms to intelligently correlate and remediate operational events, and integrate AI/ML capabilities into observability pipelines delivering a unified, intelligent view of our systems. We are looking for an active, hands-on software engineer who thrives not only in designing, but in implementing the solution as well, takes pride in shipping production-grade code, and brings an energizing, collaborative presence to everything they do. Responsibilities : Design, develop, and deploy Java and Python applications across microservices and distributed architectures, with observability engineered in from the start Standardize telemetry (metrics, logs, and traces) across applications using OpenTelemetry (OTel) to build a consistent, AI-ready data foundation Advance AIOps capabilities by leveraging BigPanda to correlate operational alerts, suppress noise, and build automated remediation workflows Harness Google Cloud Observability tooling — Cloud Monitoring, Cloud Logging, Cloud Trace — for advanced cloud-native monitoring and performance analysis Integrate AI/ML into observability and automation pipelines to enable predictive failure detection and self-healing systems Analyze operational data to identify high-value automation opportunities that maximize reliability, efficiency, and engineering velocity Define and own SLIs, SLOs, and error budgets in partnership with reliability and product engineering teams Partner with AI/ML, platform, and architecture teams to co-innovate and deploy scalable automation solutions aligned to the OMAI strategy Act as Subject Matter Expert (SME) for observability and AIOps — providing hands-on technical guidance and mentorship across the team Participate in all SDLC phases — analysis, design, construction, testing, deployment, and maintenance Proactively troubleshoot and resolve complex application and infrastructure issues, driving long-term stability through collaborative root cause analysis Stay ahead of the curve on emerging practices in observability, AIOps, cloud engineering, and agentic AI Qualifications : 6 years of hands-on software engineering experience Proven, hands-on Java development skills designing and delivering robust production applications using Spring Boot or equivalent frameworks, independently and at pace Practical Python experience for application development, automation, and tooling Demonstrated expertise in OpenTelemetry (OTel) — instrumenting Java and Python applications and standardizing metrics, logs, and distributed traces across services Exposure to tools like BigPanda for alert correlation, event management, and automated remediation workflows Proficiency with Google Cloud Observability — Cloud Monitoring, Cloud Logging, Cloud Trace, and related tooling — for cloud-native monitoring and performance analysis Strong understanding of SRE principles — including SLIs, SLOs, error budgets, and incident management Experience integrating AI/ML or agentic capabilities into operational workflows to enable predictive and self-healing systems (highly desirable) Solid grasp of RESTful API design and hands-on experience integrating monitoring and automation tools with backend services Strong version control and CI/CD experience — Git, pipeline tooling, and modern release practices Familiarity with containerization and orchestration technologies — Docker and Kubernetes — in cloud-native environments Excellent problem-solving skills — able to analyze complex issues, identify root causes, and implement effective, lasting solutions The Difference-Maker: Technical capability is the entry ticket. What truly sets the right candidate apart: Hands-On Builder — You write production code. You are at your best when you are deep in implementation, not just design. Observability-First — You instrument as you build. Telemetry is a feature, never a footnote. AI-Curious — You ask, could AI solve this? — and then you find out. Great Attitude — You re collaborative, generous with knowledge, and make hard problems feel solvable. You make the team better just by being in it. Education: Bachelor s degree in Computer Science, Data Science, Data Analytics, Management Information Systems, or a related field. A Master s degree or relevant certifications (cloud, SRE, or AIOps) is a plus What we offer Joining Citi means working at genuine scale — on systems that matter, with engineers who take craft seriously. This is a role where your technical decisions carry weight, your expertise shapes the direction of the team, and your work directly influences how Citi operates and automates at a global level. Hybrid working model with 3 days in the office and 2 days working remotely, giving you the flexibility to structure your week effectively. The opportunity to lead and shape Citi s observability and AIOps strategy defining standards and practices adopted across a global engineering estate. A collaborative, performance-driven engineering environment where senior engineers are given real ownership, technical latitude, and the space to innovate. Access to Citi s global learning and development resources, including professional certifications in cloud engineering, SRE, and AI/ML disciplines. Competitive financial wellbeing, including compensation structured to reflect seniority, impact, and long-term contribution. Wellbeing support and work-life balance programmes available to all employees, with resources tailored to individual needs. The chance to work alongside AI/ML, platform, and architecture specialists — solving complex, high-impact problems at the frontier of AI-driven operations. Build the next generation of intelligent, self-healing systems at one of the world s leading financial institutions — apply now to bring your observability and AIOps expertise to Citi. #LI-MB1 ------------------------------------------------------ Job Family Group: Technology ------------------------------------------------------ Job Family: Applications Support ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Primary Location: Irving Texas United States ------------------------------------------------------ Primary Location Full Time Salary Range: $125,760.00 - $188,640.00 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: Sep 25, 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.

Requirements

Must-haves

Design, develop, and deploy Java and Python applications across microservices and distributed architectures, with observability engineered in from the start
Standardize telemetry (metrics, logs, and traces) across applications using OpenTelemetry (OTel) to build a consistent, AI-ready data foundation
Advance AIOps capabilities by leveraging BigPanda to correlate operational alerts, suppress noise, and build automated remediation workflows
Harness Google Cloud Observability tooling — Cloud Monitoring, Cloud Logging, Cloud Trace — for advanced cloud-native monitoring and performance analysis
Integrate AI/ML into observability and automation pipelines to enable predictive failure detection and self-healing systems
Analyze operational data to identify high-value automation opportunities that maximize reliability, efficiency, and engineering velocity
Define and own SLIs, SLOs, and error budgets in partnership with reliability and product engineering teams
Partner with AI/ML, platform, and architecture teams to co-innovate and deploy scalable automation solutions aligned to the OMAI strategy
Act as Subject Matter Expert (SME) for observability and AIOps — providing hands-on technical guidance and mentorship across the team
Participate in all SDLC phases — analysis, design, construction, testing, deployment, and maintenance
Proactively troubleshoot and resolve complex application and infrastructure issues, driving long-term stability through collaborative root cause analysis
Stay ahead of the curve on emerging practices in observability, AIOps, cloud engineering, and agentic AI
6 years of hands-on software engineering experience
Proven, hands-on Java development skills designing and delivering robust production applications using Spring Boot or equivalent frameworks, independently and at pace
Practical Python experience for application development, automation, and tooling
Demonstrated expertise in OpenTelemetry (OTel) — instrumenting Java and Python applications and standardizing metrics, logs, and distributed traces across services
Exposure to tools like BigPanda for alert correlation, event management, and automated remediation workflows
Proficiency with Google Cloud Observability — Cloud Monitoring, Cloud Logging, Cloud Trace, and related tooling — for cloud-native monitoring and performance analysis
Strong understanding of SRE principles — including SLIs, SLOs, error budgets, and incident management
Experience integrating AI/ML or agentic capabilities into operational workflows to enable predictive and self-healing systems (highly desirable)
Solid grasp of RESTful API design and hands-on experience integrating monitoring and automation tools with backend services
Strong version control and CI/CD experience — Git, pipeline tooling, and modern release practices
Familiarity with containerization and orchestration technologies — Docker and Kubernetes — in cloud-native environments

Nice-to-haves

A Master s degree or relevant certifications (cloud, SRE, or AIOps) is a plus

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

javapythonaimlapici/cddockerkubernetesaccessibility

Platform: workday
Effort: long

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Paid Time Off

Wellness