Java Senior Software Engineer —Vice President

Citigroup Inc.; Irving (TX); Hybrid; USD 126,000 - 189,000; Full time

Benefits offered by this job

Hybrid work model

Leadership opportunities

Professional certifications

Competitive compensation

Wellbeing programs

Job summary

Citigroup Inc. is seeking a Senior Software Engineer with deep expertise in observability, AIOps, and Java/Python application engineering to advance the firm's OMAI strategy.

The role emphasizes production-grade code, standardized telemetry, and AI-enabled automation across a cloud-native stack. You will lead design and implementation of observability pipelines, leverage OpenTelemetry, and integrate AI/ML to enable predictive failure detection and self-healing systems, with a hybrid work

Qualifications

• 6+ years of hands-on software engineering experience.
• Proven Java development skills with Spring Boot or equivalents, delivering production apps.
• Python experience for application development and tooling.
• Expertise in OpenTelemetry instrumentation and standardizing metrics/logs/traces.
• Exposure to BigPanda for alert correlation and remediation workflows.
• Proficiency with Google Cloud Observability tools for monitoring and analysis.
• Strong understanding of SRE principles: SLIs, SLOs, error budgets, incident management.
• Experience integrating AI/ML into operational workflows is a plus.
• RESTful API design and integration with backend services.
• Strong Git CI/CD and modern release practices.
• Familiarity with Docker and Kubernetes in cloud-native environments.
• Excellent problem-solving skills.

Responsibilities

• Design, develop, and deploy Java and Python apps across microservices with observability from the start.
• Standardize telemetry using OpenTelemetry to build an AI-ready data foundation.
• Advance AIOps by leveraging BigPanda for alert correlation and remediation workflows.
• Use Google Cloud Observability tooling for cloud-native monitoring and performance analysis.
• Integrate AI/ML into observability and automation pipelines for predictive failure detection.
• Identify automation opportunities from operational data to improve reliability and velocity.
• Define and own SLIs, SLOs, and error budgets with reliability and product teams.
• Collaborate with AI/ML, platform, and architecture teams to deploy scalable automation.
• Serve as SME for observability and AIOps, mentoring team members.
• Participate in all SDLC phases and troubleshoot complex issues to drive stability.
• Stay ahead of trends in observability, AIOps, cloud engineering, and agentic AI.

Skills

Java

Spring Boot

Python

OpenTelemetry

BigPanda

Google Cloud Observability

SRE basics

AI/ML integration

REST APIs

Git CI/CD

Docker

Kubernetes

Problem-solving

Education

Bachelor's degree

Master's degree / Certifications (cloud, SRE, AIOps)

Tools

Docker

Kubernetes

OpenTelemetry tooling

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

• 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.

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.

Anticipated Posting Close Date

Sep 25, 2026

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