Software Development Consultant Java BigData

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Experience

What Well Bring:

• 6 to 8 years of relevant experience
  
  

What We’ll Bring:

• Design, Integrate and delivery of enterprise-scale AI/ML solutions (data pipelines, ML systems, AI agents, APIs, cloud-native services) across a polyglot stack (Java + Python).
• Own the technical roadmap from concept to deployment, ensuring scalability, performance, security, and responsible AI (fairness, transparency, compliance).
• Work closely with engineering, data science, and platform teams to build production-grade systems.
• Foster best practices in system design, development, and deployment across teams.
• Drive innovation use cases and PoCs, aligning technical solutions with business outcomes.
• Bridge business stakeholders and engineering, translating complex requirements into robust designs and measurable impact.
  
  

What Youll Bring:

What You’ll Bring:

• Architecture & Engineering
• Design and build end-to-end scalable systems and APIs using Java-based backend frameworks.
• Strong understanding of system design (HLD & LLD) and engineering best practices.
• Ability to develop production-grade services with focus on performance, reliability, and maintainability.
• Apply secure coding practices and build systems with scalability in mind.
• Platforms & Cloud
• Familiarity with cloud environments and deployment concepts (AWS/GCP).
• Hands-on experience with CI/CD pipelines and deployment workflows.
• Strong experience with containers and orchestration (Docker, Kubernetes).
• Familiarity with microservices and distributed system architectures.
• Use DJL (Deep Java Library) and ONNX Runtime Java for on‑JVM inference where appropriate; integrate Spark/Databricks MLlib for large‑scale pipelines.
• Data & ML Systems
• Theoretical understanding of AI/ML fundamentals and data science workflows.
• Experience with data pipelines (ingestion, transformation, orchestration).
• Ability to deploy and serve ML models via APIs/services and integrate into production systems.
• Hands-on knowledge of MLOps/AgentOps practices including versioning, monitoring, and lifecycle management.
  

Impact Youll Make:

• Mandatory Technical Expertise:
• Strong programming expertise in Advanced Java.
• Backend frameworks (Spring Boot).
• API design principles (REST/gRPC).
• Databases: PostgreSQL, along with exposure to NoSQL/Graph/Vector DBs.
• SQL and data modeling fundamentals.
• Solid understanding of performance optimization, concurrency, and scalable system design.
• MLflow/DVC, model versioning/monitoring, CI/CD (Jenkins/GitHub Actions), Maven/Gradle, Terraform.
• Containers & Orchestration: Docker, Kubernetes, KServe/Seldon Core, Helm.
  
  

• Good to have:
• Working knowledge of Python for data and ML workflows.
• Pyspark.
  
  

• Ownership & Problem Solving
• Asks the right technical and product questions, influences solution design, and identifies system and integration risks early with effective solutions.
• Strong system thinking covering latency, reliability, scalability, and observability.
• Ownership mindset to drive components end-to-end from development to production.
  
  

Impact Youll Make:

• Collaboration & Leadership
• Work closely with cross-functional teams to translate business problems into technical solutions.
• Enable seamless collaboration between data science and engineering ecosystems.
• Strong communication and stakeholder management skills.
  

This is a hybrid position and involves regular performance of job responsibilities virtually as well as in-person at an assigned TU office location for a minimum of two days a week.

TransUnion Job Title

Developer III, Applications Development

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