Senior Software Engineer

Microsoft bets on Artificial Intelligence (AI) as the next growth opportunity for the company. OpenAI, Mistral, and other large language Model (LLM) driven innovations are happening throughout the industry. Azure AI services group is focused on building a platform that makes it easy for both first party Microsoft teams and third-party customers to build cutting edge applications on top of these large language models. 

The Pipelines team in Azure AI Platform is looking for a Senior Software Engineer who loves to build a cloud service to help data scientists to author and process comprehensive machine learning multistep workflows.  

The team focuses on:  

• Managing microservices for pipeline authoring, scheduling and processing
• Secure Control Plane assets from malicious attacks and unauthorized access using industry standard tools and frameworks
• Automate Monitors and critical alerts using best in class observability tools such as: Azure Monitor, Prometheus, Azure Data Explorer, Grafana
• Automate CI/CD deployments using YAML builds and releases 

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Required: 

• Bachelor’s degree in computer science, or related technical discipline. OR equivalent experience.  
• 5 + years’ experience in/with object-oriented design fundamentals.  
• 8 + years of experience with coding in one of C#, Go, Rust, Java, C or C++

Preferred: 

• Experience with improving service operations or engineering fundamentals
• Collaboration skills, team player, thrive to make a difference
• Understanding of Microservices architecture, K8s, NGINX, Observability (Logs, Metrics, etc..), Network Layer protocols is a plus
• Understanding of cloud service architecture
• Certifications: one or more of Certified Kubernetes Application Developer (CKAD), Certified Kubernetes Admin (CKA)

#IDCAIPlatformHiring

Other Requirements  

Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.  

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

As a Senior Software Engineer on our team, you will drive the design, development, and support of the platform that powers Azure Machine Learning. You’ll work across teams to help make the whole organization successful. Your responsibilities will include the following:  

• Write clean and concise code with unit tests
• Design, implement, and support new features as well as extend existing systems
• Investigate live site issues and implement and deploy fixes
• Participate in an on-call rotation
• Security Configuration and Compliance: Configure, update, and maintain security tools used for endpoint security, log collection and reporting, vulnerability, and compliance scanning. Hardening and compliance with best practices, benchmarks, and remediate vulnerabilities as reported by security