Software Engineer (ML)

Software Engineer (ML)

Job Overview

Location
London, England
Job Type
Full Time Job
Job ID
38539
Date Posted
1 year ago
Recruiter
John Apl
Job Views
108

Job Description

Empower every person and organization on the planet to achieve more. That’s what inspires us, drives our work, and pushes us to challenge the status quo every day. In Microsoft’s Cloud + AI (C+AI) division, our solutions enable customers to successfully transform their businesses to the cloud. The scale of platforms and services we are building are among the largest in the world. From core cloud computing platform development to the services running on them, we do it all.


Cloud Security is responsible for ensuring customers trust Microsoft’s cloud platform. We are part of Management Plane team responsible for solving Infrastructure/platform, Capacity Planning, Safe Deployment, Observability & Monitoring, Live Site challenges using Software Engineering and Machine Learning. Our goal is to 1) meet our customer needs by iterating safely and quickly 2) Improve engineering efficiency. We are building two new ambitious services aiming to help improve all the above mentioned trillion-dollar problem space.

The success of the services depends on good system design, data pipeline, and ML models. You’ll execute on a fast-paced timeline with a team of individuals who have a track record of successful delivery. You’ll build a highly reliable, available, and secure service that integrates with other Azure services to provide a seamless and intuitive customer experience.


Solve hard problems; build a new and innovative service that impacts teams across the Azure platform using modern cloud technologies; learn, teach, and grow as a software engineer – sound like fun? Apply today!

Responsibilities

Understand and analyze data from various sources including, but not limited to, management plan services, dependent Azure services, and customer reported issues. Architecture and build distributed system to improve the status quo of cloud security and site reliability leveraging data and ML. Work with engineers on partner teams to build and secure the foundation of the cloud itself. Work with other engineers to develop the full stack, from intuitive and responsive user and developer experiences, to highly scalable, secure, and reliable webservices and back-end infrastructure. Execute on a technical strategy to deliver a multi-model ML platform and implement ML pipelines. Build on our Microsoft principles (create clarity, generate energy, deliver success) and values (respect, integrity, accountability) to effectively collaborate and make things happen.

Qualifications

 

Required Qualifications:

1+ years of experience as a software engineer.
• 1+ years of experience using ML or analytics models to solve real business problems as a Data Scientist or ML Engineer
• Basic understanding of distributed systems, services, and highly available infrastructure.
• Experience with one or more general purpose programming languages including but not limited to: Python, Java, C/C++, C#


Preferred Qualifications:
• Experience with building services and web platforms that are highly reliable, run at high scale, and recover automatically from failure
• Practical experience with containers, PaaS/SaaS software engineering, distributed systems engineering
• Experience of building end-to-end software
• An understanding of basic applied cryptography concepts including encryption/decryption, symmetric and asymmetric keys, certificates, signing/verifying

 

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.  We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. 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.

Job ID: 38539

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