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Team Overview
We are seeking a highly skilled Senior Developer with strong expertise in Python and/or Java, deep understanding of SDLC best practices, software architecture, and hands‑on experience with cloud technologies (AWS/GCP). The ideal candidate also brings practical exposure to integrating AI/ML capabilities into modern applications.

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.
Role Overview And Core Responsibilities
- Design, develop, and maintain scalable, secure applications using Python and/Java
- Lead end‑to‑end SDLC activities: requirements analysis, architectural design, development, testing, deployment, and ongoing support.
- Define and implement software architecture patterns (microservices, event-driven design, layered architecture, domain-driven design).
- Build, deploy, and optimize applications on AWS and/or GCP (Compute, Storage, IAM, Networking, Serverless, CI/CD).
- Develop and integrate RESTful APIs, microservices, and distributed systems.
- Implement AI/ML features by using cloud-native AI services or integrating custom ML models (e.g., AWS SageMaker, GCP Vertex AI, or open‑source frameworks).
- Participate in architectural reviews, make technology recommendations, and drive technical decision‑making.
- Conduct code reviews, enforce coding best practices, and mentor junior team members.
- Troubleshoot production issues, identify root causes, and deliver reliable fixes.
- Maintain clear and comprehensive technical documentation.
- Minimum 6+ years of hands‑on experience in Python and/or Java.
- Strong understanding of SDLC methodologies including Agile/Scrum, CI/CD, DevOps practices.
- Solid grasp of software architecture concepts: scalability, performance, security, modularity, design patterns.
- Experience with cloud platforms:
- AWS: EC2, Lambda, S3, RDS, DynamoDB, EKS, API Gateway, SageMaker
- GCP: Compute Engine, Cloud Run, GKE, Cloud Functions, BigQuery, Vertex AI
- Practical exposure to AI in software development, such as:
- Integrating LLM‑based features
- Using AI APIs (AWS Bedrock, GCP Vertex AI, OpenAI, etc.)
- Building ML pipelines or inference workflows
- Experience with relational and NoSQL databases.
- Strong understanding of containerisation and orchestration (Docker, Kubernetes).
- Good knowledge of CI/CD tools (Jenkins, GitHub Actions, GitLab CI, Argo, etc.).
- Excellent problem-solving, debugging, and design skills.
Required Knowledge And Experiences
Good to Have
- Experience with messaging systems (Kafka, Pub/Sub, RabbitMQ).
- Exposure to infrastructure‑as‑code (Terraform, CloudFormation).
- Hands-on experience with monitoring and observability tools (Prometheus, Grafana, CloudWatch).
- Security best practices for cloud‑native workloads.
- Knowledge of MLOps concepts.
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, Applications Development
