AUTOMATION

Leads the application of internal software deployment platform, continuous integration or continuous delivery pipeline and twelve factor development methodology to automate the deployment process, ensuring smooth and reliable releases.

COLLABORATION

Partners with cross functional team of product managers, designers and other engineers to gather complex requirements and deliver solutions that meet business needs.

TESTING & DEBUGGING

Writes and maintains complex unit tests and integration tests, and performs debugging to maintain the quality and performance of the software, applying test driven development as needed.

CONTINUOUS IMPROVEMENT

Recommends options for improving the software development and deployment processes, and implements the approved standards to improve efficiency and reliability.

DOCUMENTATION

Creates and maintains comprehensive documentation for complex software applications, deployment processes and system configurations.

TECHNICAL SUPPORT

Provides technical support and troubleshooting for complex issues with deployed applications to ensure minimal downtime and fast resolution. Minimum and Preferred Qualifications Minimum requirement of 4 years of relevant work experience. Typically reflects 5 years or more of relevant experience. Preferred Qualifications Proven experience with API management platforms such as Kong, Broadcom Layer7, Google Apigee, or equivalent technologies. Strong understanding of API gateway architecture, traffic management, rate limiting, and security policies. Expertise in API lifecycle management, including design, publishing, versioning, and retirement. Hands-on experience with authentication and authorization standards (OAuth 2.0, JWT, OpenID Connect). Proficiency in automation and Scripting for API deployment and configuration (Python, Shell, Ansible). Familiarity with CI/CD integration and DevOps practices for API platforms. Knowledge of monitoring and analytics for API performance and usage (eg, Prometheus, Grafana). Exposure to cloud-native API solutions and containerization (Docker, Kubernetes). Strong troubleshooting skills and ability to lead complex API platform initiatives. Additional Candidate The expected salary for this position is $105,000.00 - 160,000. Compensation varies depending on a wide array of factors including but not limited to the specific location, certifications, education, and level of experience. The disclosed range estimate may be adjusted for any applicable geographic differential associated with the location at which the position may be filled. This position is eligible for a discretionary incentive award. The incentive award amount is dependent upon company performance and your personal performance. Minnesota Sick and Safe Leave accruals of one hour for every 30 worked, up to 48 hours per calendar year unless otherwise provided by law. Equal Opportunity Employer, including Disability/Vet. 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