FAQs
What are the primary responsibilities of the Software Engineer II position?
The primary responsibilities include architecting and building large-scale data pipelines, collaborating with data scientists to integrate ML models, optimizing and scaling data processing, ensuring data quality and governance, defining performance SLAs, developing automation tools, creating dashboards for data visualization, and collaborating cross-functionally with different teams.
What qualifications are required for this role?
Required qualifications include a Bachelor's Degree in Computer Science or a related technical field, 2+ years of technical engineering experience, experience with machine learning workflows, expertise in distributed systems and big data technologies, solid programming skills in C#, .NET, SQL, Python, and knowledge of CI/CD pipelines and cloud infrastructure.
What programming languages should candidates be familiar with?
Candidates should be familiar with languages including, but not limited to, C, C++, C#, Java, JavaScript, and Python.
Is experience with machine learning required for this position?
Yes, experience with machine learning workflows and integrating ML models into production pipelines is required.
What big data technologies are preferred for this role?
Familiarity with big data technologies such as Hive, Presto, Spark, Azure big data frameworks (like ADF and AML), and similar technologies is preferred.
Are there any preferred qualifications for the Software Engineer II role?
Preferred qualifications include familiarity with data visualization tools, experience in data privacy compliance and governance practices, hands-on experience in building and deploying machine learning models in production settings, and solid communication and collaboration skills.
Will this position involve mentoring junior engineers?
Yes, this position involves mentoring junior engineers and guiding architectural best practices.
What type of projects will the Software Engineer II work on?
The engineer will work on critical data flows and machine learning operations that support Microsoft Ads products used by millions of users.
Are there opportunities for career growth in this position?
Yes, the role offers opportunities for career growth through collaboration, mentoring, and involvement in significant projects within Microsoft.
Is there a focus on data governance in this role?
Yes, there is a strong emphasis on data quality, governance, auditing, lineage tracking, and automated validation to ensure data fidelity and compliance.
What kind of work environment can be expected?
You can expect a collaborative and inclusive work environment that values respect, integrity, and accountability, fostering a culture where everyone can thrive.