Software Engineer II – Python, Azure

Develop high-quality software and effective test code following clean code principles and Blue Yonder standards.

Design, develop, and maintain Python-based services and REST APIs using FastAPI.

Contribute to scalable, resilient, event-driven, secure, and multi-tenant microservices architecture.

Translate business requirements into technical solutions and contribute to story-level design.

Participate in backlog grooming, planning, stand-ups, retrospectives, and code reviews.

Troubleshoot issues across environments, perform root-cause analysis, and implement reliable fixes.

Handle incidents, service requests, and routine/complex changes with appropriate stakeholder communication.

Collaborate with operating and project teams to improve service reliability and operational readiness.

Drive automation and self-service solutions to reduce manual operational effort.

Contribute to performance, scalability, security, and continuous improvement initiatives.

Support CI/CD pipelines and resolve build or deployment issues as required.

Mentor junior engineers and support onboarding of new team members.

Stay current with technology trends, including emerging AI-assisted development practices.

Contribute to the team's technical vision and roadmap.

Optimize service usage and resource consumption to support SaaS cost efficiency.

Bachelor’s degree in computer science, Engineering, or a related field with relevant software development experience.

Strong hands-on experience with Python and FastAPI.

Experience developing and consuming REST APIs and working with OAuth/OAuth2.

Strong experience with Microsoft Azure and cloud-native application development.

Experience with microservices, event-driven architecture, scalable and resilient systems.

Hands-on experience with Azure Event Hub, Azure AD / Microsoft Entra ID, Virtual Network (VNet), and ARM Templates.

Experience with Snowflake or similar cloud data platforms.

Strong understanding of clean code, testing, CI/CD, code reviews, and DevOps practices.

Experience in production troubleshooting, incident management, and root-cause analysis.

Good understanding of secure architecture, authentication, authorization, identity management, and data security.

Strong problem-solving, communication, collaboration, and mentoring skills.

Understanding of SaaS scalability, reliability, performance, and resource optimization.

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All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.