Software Development Consultant (Java , BigData)

Software Development Consultant (Java , BigData) Location: Bengaluru TransUnion's Job Applicant Privacy Notice What We'll Bring: Experience • 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 You'll 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 You'll 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 You'll 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 Additional Locations: Pune