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The Sales Planning and Intelligence IT organization is seeking a Software Engineer to design, build, and maintain scalable, secure, cloud-native applications with applied AI/ML capabilities. In this role, you will be a hands-on senior contributor, owning complex features and services end to end while collaborating closely with product managers, architects, and fellow engineers. You’ll work across the stack using Java, Angular, PostgreSQL, and AI/ML technologies on Microsoft Azure, helping deliver high-quality solutions to real business problems.
Job Responsibility:
Design and implement complex features and services within multi-tier, cloud-native systems on Azure
Contribute to system and application architecture and design discussions
Own features across the full software development lifecycle, from design through production support
Translate business and product requirements into clear, maintainable technical solutions
Write clean, testable, and well-documented code following established engineering standards
Participate in code and design reviews, providing constructive feedback to peers
Mentor junior and mid-level engineers through collaboration and example
Identify and resolve issues related to performance, reliability, security, and maintainability within owned areas
Collaborate effectively with cross-functional partners to deliver high-quality software
Requirements:
Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent practical experience)
7-8+ years of professional software development experience in an agile environment
Strong experience building cloud-native applications on Microsoft Azure, including managed services
Solid understanding of system design, APIs, and distributed system fundamentals
Proven experience delivering customer-facing applications or services
Full-stack: applied development experience, with: Java for backend services and APIs
Angular for modern web front ends
PostgreSQL or similar relational databases
AI/ML: applied development experience with building or integrating capabilities in production systems, such as: Consuming predictive or analytical models
Integrating generative AI (LLMs, embeddings, RAG, prompt workflows)
Implementing AI-powered features within existing applications
Strong communication skills and ability to collaborate effectively within a team
Nice to have:
Master’s degree in a technical field or equivalent experience
10+ years of professional software development experience
Experience with distributed systems at moderate scale
Familiarity with: Cloud observability and monitoring tools, Security best practices for cloud applications, and CI/CD pipelines and automated testing
Experience mentoring engineers or acting as a technical lead for features or projects