Software Engineer

• Design, build, and operate distributed services and microservices on Azure (App Service, AKS, Functions, Service Bus, Cosmos DB, Azure SQL) that power catalog, search, purchase, fulfillment, metering, and billing experiences
• Own features end-to-end: requirements, design, implementation, testing, deployment, and live-site support
• Contribute to platform capabilities such as offer publishing, catalog, search, purchase, fulfillment, metering, and billing
• Integrate AI capabilities such as natural language processing, semantic search, and intelligent agents using frameworks like Azure OpenAI, Semantic Kernel, or equivalent
• Drive performance, scalability, and cost-efficiency through telemetry, asynchronous I/O, and system profiling
• Ensure robust data validation, schema enforcement, and compliance with privacy and security standards
• Collaborate across disciplines to define technical requirements, review designs, and deliver high-quality software
• Mentor junior engineers and promote engineering best practices across the team
• Participate in an on-call rotation
• investigate and resolve live-site incidents, and drive root-cause fixes that improve reliability
• Contribute to our DevOps culture: CI/CD pipelines, automated testing, telemetry, and safe deployment practices.

Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

• 3–5 years of experience in software engineering, preferably in cloud-scale or AI-enhanced services
• Proficiency in C#, Python, or JavaScript, and familiarity with cloud platforms like Azure or AWS
• Experience designing and consuming REST APIs and working with relational and/or NoSQL data stores
• Fundamentals in data structures, algorithms, distributed systems, and debugging
• Experience with AI development tools and frameworks (e.g., OpenAI APIs, transformers, semantic search)
• Understanding of CI/CD pipelines, GitHub workflows, and infrastructure-as-code
• Problem-solving, communication, and collaboration skills
• Demonstrated ability to lead design efforts and deliver production-grade solutions
• Experience building or operating large-scale cloud services on Azure or another major cloud
• Familiarity with commerce, billing, or marketplace/storefront systems
• Experience with Kubernetes, event-driven architectures, or high-throughput data pipelines
• Experience building LLM-powered applications RAG pipelines, prompt engineering, agent frameworks (Semantic Kernel, LangChain), or fine-tuning with an eye for evaluation, latency, and cost
• Written communication: design docs, postmortems, customer-facing release notes
• Contributions to live-site / SRE practices: monitoring, alerting, incident response.