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Mid-level, metro backend role with broad cloud/AI skill requirements increases applicant competition.
Skills are broadly transferable across industries due to common cloud, Python/Java, and microservices requirements.
Mandatory 6+ years, specific cloud, language, and architecture skills increase filtering stringency.
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Design, develop, and maintain scalable, secure Python and/or Java applications using cloud platforms (AWS/GCP).
Lead end-to-end SDLC including architecture design, development, testing, deployment, and support.
Integrate AI/ML capabilities into applications and participate in architectural reviews and technical decision-making.
6+ years of hands-on experience in Python and/or Java development.
Strong understanding of SDLC methodologies including Agile/Scrum, CI/CD, and DevOps.
Experience with AWS and/or GCP cloud services including compute, storage, networking, serverless, and AI services.
Hybrid work mode requiring minimum two days onsite at assigned TransUnion office location.
Experienced in designing and deploying cloud-native, microservices-based architectures integrating AI/ML features.
Skilled in mentoring peers, performing code reviews, and driving best practices across the SDLC.
Familiar with containerization (Docker, Kubernetes), RESTful APIs, and multiple database technologies (relational and NoSQL).