Quick summary
- Work type
- Hybrid
- Location
- Chicago, IL
- Salary
- $78,750–$131,250 / yr
- Posted
- 15 days ago
- Freshness
- Confirmed live yesterday
- Nearby
- 99+ roles within 25 mi
Market check
Salary context
How this pay compares to similar roles
This role pays less than 99% of similar roles. Most pay $150,187–$203,712 — the shaded band above. At the midpoint, this role pays about $105k versus about $177k for comparable roles.
Based on 240 similar postings.
Employer
About TransUnion
TransUnion is a global information and insights company and one of the "Big Three" credit reporting agencies, alongside Equifax and Experian.
TransUnion currently has 11 open roles on FindRole.
Listed pay typically runs $142,500–$237,500 across 9 roles with salary data.
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At a glance
TL;DR · Senior Software Engineer
Senior Software Engineer The Senior Software Engineer joins a team dedicated to designing, building, and supporting scalable, cloud-native software solutions that ensure reliable business and customer outcomes. In this role, you will design, develop, test, deploy, and maintain enterprise applications and services while leading the implementation of complex features across distributed systems. You will build and support cloud-native solutions on Google Cloud Platform using tools like Cloud Run, Cloud Functions, BigQuery, Pub/Sub, and Identity and Access Management. Your daily work involves optimizing performance through automation, managing containerized deployments with Docker and Kubernetes, and maintaining CI/CD pipelines using Git and Harness. Technical requirements include proficiency in Java, Python, Bash, Spring Boot, and REST APIs. You will also manage observability via Prometheus and Grafana while troubleshooting production issues to ensure high-performing, secure systems for the organization's core infrastructure.
What does a Software Engineer earn in Illinois?
Median $162050 from 69 postings across 25 companies.
Skills
What you'll do
- Develop and maintain scalable enterprise applications using Java, Python, Spring Boot, and microservices architecture.
- Build and support cloud-native solutions on Google Cloud Platform including Cloud Run, BigQuery, and Pub/Sub.
- Optimize application performance, database design, and system reliability through automation and engineering best practices.
- Manage CI/CD pipelines and containerized deployments using tools like Git, Harness, Docker, and Kubernetes.
- Troubleshoot complex production issues, perform root cause analyses, and participate in on-call incident management.
- Enhance system observability by implementing monitoring, alerting, and logging solutions using Prometheus and Grafana.
- Provide technical guidance to junior engineers through code reviews and the promotion of reusable components.
- Translate business requirements into technical specifications while participating in Agile ceremonies and sprint planning.
What we're looking for
- 6+ years of experience designing, developing, testing, deploying, and supporting enterprise software applications.
- Experience building cloud-native applications and distributed systems using containerized and Kubernetes-based deployments.
- Experience leading technical initiatives and applying software architecture and system design patterns to complex requirements.
- Knowledge of Agile software development practices and cross-functional collaboration with product, architecture, and quality assurance teams.
- Bachelor’s degree in Computer Science, Software Engineering, Information Technology, or a related technical field (or equivalent experience).
- Proficiency in Java, Python, Bash/shell scripting, Spring Framework, Spring Boot, REST APIs, and microservices architecture.
- Hands-on experience with Google Cloud Platform services, Docker, Kubernetes, Apache Kafka, and PostgreSQL.
- Experience with CI/CD pipelines, unit/integration testing, and monitoring tools like Prometheus and Grafana.
- Experience designing highly available distributed systems and event-driven architectures (preferred).
- Familiarity with Harness, Puppet, Google Kubernetes Engine, and advanced observability practices (preferred).
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