Design and implement large-scale data processing pipelines using Apache Spark.
Drive adoption of AI-powered capabilities including copilots, intelligent search, recommendations, and workflow automation.
Establish engineering standards related to performance, scalability, reliability, observability, and security.
Ownership & Execution
Own large, ambiguous problem spaces and drive them to successful outcomes with minimal oversight.
Translate business requirements into scalable technical solutions and execution plans.
Proactively identify technical debt, operational risks, and scalability challenges before they impact customers.
Balance short-term delivery goals with long-term platform sustainability.
Lead incident resolution efforts and drive root-cause analysis and corrective actions.
Demonstrate end-to-end accountability for services and customer outcomes.
Communication & Collaboration
Communicate complex technical concepts effectively to both engineering and non-technical audiences.
Partner closely with Product Managers, Designers, Data Scientists, and leadership teams to align technical investments with business goals.
Drive technical discussions and influence decisions across organizational boundaries.
Present technical proposals, design reviews, and architectural recommendations with clarity and confidence.
Build alignment among stakeholders with differing priorities and perspectives.
Provide clear, actionable feedback during design reviews, code reviews, and mentoring sessions.
Mentorship & Team Development
Mentor junior and mid-level engineers through technical coaching and career development support.
Raise the engineering bar through design reviews, code quality standards, and knowledge sharing.
Foster a culture of accountability, customer focus, engineering excellence, and continuous learning.
Lead by example through strong technical contributions and professional conduct.
Required Knowledge And Experiences
Required Qualifications
Bachelor's or Master's degree in Computer Science, Engineering, or related field.
6+ years of professional software engineering experience.
Proven experience designing and operating large-scale, distributed software systems.
Strong expertise in Java and the JVM ecosystem.
Experience building microservices and cloud-native applications.
Hands-on experience with modern frontend frameworks such as React or Angular.
Strong understanding of system design, distributed computing, and software architecture principles.
Experience building and optimizing large-scale data processing solutions using Apache Spark.
Experience working with cloud platforms such as Azure, AWS, or GCP.
Strong understanding of software development best practices including testing, code quality, CI/CD, and observability.
Preferred Qualifications
Backend & Distributed Systems
Java 21
Spring Boot
API design and service orchestration
JVM performance tuning and diagnostics
Data & Analytics
Apache Spark
Data pipelines and ETL frameworks
Data modeling and warehouse concepts
AI & Generative AI
Experience delivering production-grade AI-powered features.
Familiarity with LLM application development and orchestration frameworks.
Experience with Azure OpenAI, OpenAI APIs, or equivalent AI platforms.
Knowledge of Retrieval-Augmented Generation (RAG), vector databases, embeddings, and semantic search.
Experience evaluating AI quality, grounding, safety, and responsible AI considerations.
Exposure to AI agents and workflow automation frameworks.
Cloud & Platform Engineering
Kubernetes
Docker
Infrastructure as Code
CI/CD automation
Monitoring and observability platforms
Site Reliability Engineering (SRE) practices
Communication Competencies
Communicates with clarity, precision, and appropriate audience awareness.
Simplifies complex technical problems into understandable concepts and trade-offs.
Builds trust through transparency, responsiveness, and follow-through.
Influences without authority through data, technical expertise, and strong interpersonal skills.
Effectively manages stakeholder expectations during planning, execution, and incident management.
Drives alignment across teams and organizations to achieve shared outcomes.
Ownership Competencies
Demonstrates a strong sense of accountability for customer and business outcomes.
Identifies gaps, risks, and opportunities without waiting for direction.
Takes initiative to solve organizational and technical challenges.
Makes informed decisions in ambiguous situations.
Maintains high standards for quality, reliability, and operational excellence.
Follows through on commitments and drives issues to closure.
Thinks beyond individual features and optimizes for long-term platform success.
Technical Skills
Frontend
React / Angular
TypeScript
Modern JavaScript
Frontend performance and accessibility
Backend
Java
Spring Boot
REST APIs
Microservices
Distributed Systems
JVM Internals and Performance
Data Engineering
Apache Spark
SQL
Streaming and Batch Processing
Data Pipeline Development
AI & Intelligent Systems
Generative AI
LLM Application Development
RAG
Prompt Engineering
Vector Databases
Semantic Search
AI Agents
Cloud & DevOps
Azure / AWS / GCP
Docker
Kubernetes
CI/CD
Infrastructure as Code
Observability & Monitoring
TransUnion Overview
At TransUnion, we encourage and are committed to creating a real, positive impact and shared sense of purpose within our Workforce for Good, which empowers our people to grow, innovate and contribute to a better future for our communities and customers. We strive to build an environment where our associates are in the driver’s seat of their professional development— while having access to help along the way. We recognize that success comes when our associates thrive both professionally and personally; that’s why we prioritize work/life flexibility and offer resources for our teams across the globe to collaborate and drive excellence.
Be a part of our Workforce for Good – you’ll work with great people, pioneering products and cutting-edge technology.
TransUnion Job Title
Sr Developer, Software Development
