Senior Software Engineer at Microsoft

, , Australia -

Full Time

Start Date

Immediate

Expiry Date

05 Mar, 26

Salary

0.0

Posted On

05 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

C, C++, C#, Java, JavaScript, Python, Data Engineering, Cloud-Based Big Data Processing, Agile Development, Machine Learning, Data Mining, Azure, REST APIs, Experimentation Platforms, Telemetry Processing, Security

Industry

Software Development

Description

Overview We are part of the Azure Experiences and Ecosystems team. Our team owns the data platform supporting several user experiences including the Azure Portal, Azure Copilot, Microsoft Learn and many more. Our services are accessed by millions of unique users every month. We are looking for a highly motivated Senior Software Engineer with passion for large data storage and smart integration with an emerging Artificial Intelligence (AI) landscape. Ours is a fast-paced team working with the next generation technology in an exciting and strategic market. If you want to work in an agile environment and have impact that will span across hundreds of partners teams across Microsoft, this is the place for you! Our engineers come from diverse backgrounds, are passionate about our products, and grounded in our customers’ needs. Our team values thoughtful engineering, the ability to develop strong relationships with your peers and partners, and the ability to focus on the outcomes that matter. 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. Responsibilities Build and maintain scalable, secure, and performant data infrastructure. Partner with product and infra teams to capture meaningful signals across services. Support shared tooling and pipelines for model training, evaluation, and deployment. Releasing frequent updates every week. Knowledge and work in agile development and continuous improvement processes. Value quality, security, performance, scalability, usability, and accessibility in everything we do. Are team-players eager to excel in a dynamic, customer-focused, collaborative environment. Qualifications Required Qualifications: 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. 1+ year(s) of experience in a Data Engineer or Software Engineer role with a focus on cloud-based big data processing. 1+ year(s) of being productive and effective when working in a highly collaborative environment. 1+ year(s) of proficiency with code technologies like C#, Python, REST APIs. 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. Preferred Qualifications: 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 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 equivalent experience. 4+ year(s) knowledge of data mining, machine learning, or information retrieval. 2+ year(s) of experience with Experimentation platforms and processing flighting telemetry. 2+ year(s) knowledge of Azure, Azure Data Explorer (KQL), Synapse and Grafana. 6+ year(s) of programming experience and a willingness to learn new programming languages/AI tools to meet goals and objectives. 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. Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work. #azurecorejobs This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Responsibilities

Build and maintain scalable, secure, and performant data infrastructure while partnering with product and infrastructure teams. Support shared tooling and pipelines for model training, evaluation, and deployment.