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Senior Software Engineer at Microsoft

Washington, District of Columbia, United States -

Full Time

Start Date

Immediate

Expiry Date

03 Mar, 26

Salary

0.0

Posted On

03 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Azure Infrastructure, Linux, Container Images, API Development, Automation, Kubernetes, Python, C, C++, C#, Java, JavaScript, DevOps, Security, Image Creation, Environment Management

Industry

Software Development

Description

Design and deployment of process tooling and process execution software frameworks. Design and deployment of Azure Infrastructure and Linux baremetal and container images in production environments. Design and maintain secure infrastructure environments in both Azure and Linux. Automation deployment of composite API systems capable of executing package and schedule dispatch data in an automated environment. Present findings and recommendations to key decision makers at various management levels. Provide feedback to the engineering team to identify potential future business opportunities and new product capabilities. Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. These requirements include, but are not limited to the following specialized security screenings: Master's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. Demonstrated experience with Azure DevOps, including infrastructure automation, deployment, and adherence to best practices. Hands-on expertise with Linux image creation and environment management. Proficiency in Python programming. Deep understanding of API-to-API development and architectural design. Experience deploying and automating operations for Kubernetes compute environments. 4+ years of experience in a software/automation role. 2+ years of experience working with software engineering teams, hardware engineering teams and data science teams.

Responsibilities

Design and deploy process tooling and execution software frameworks, as well as Azure infrastructure and Linux environments. Present findings to management and provide feedback to the engineering team for future opportunities.