TL;DR

Software Engineer II (AI, Big Data): Designing and building highly optimized architecture and systems for data and analytics pipelines, dashboards, and metrics leveraging Azure and open-source technologies, with an accent on processing big data at scale and generating real-time insights. Focus on building modern fraud-detection infrastructure, data anomaly detection, and collaborating with cross-functional partners to improve products.

Location: Redmond, United States. Employees who live within a 50-mile commute of a designated Microsoft office in the U.S. are expected to work from the office at least four days per week.

Salary: USD $100,600 – $199,000 per year (for U.S. locations outside San Francisco Bay area and New York City metropolitan area).

Company

%hirify_global% is dedicated to empowering every person and every organization on the planet to achieve more through growth mindset, innovation, and collaboration.

What you will do

Design, build, and own highly optimized architecture and systems for data and analytics pipelines, dashboards, and metrics using Azure and open-source technologies.
Build core datasets and scalable, fault-tolerant pipelines.
Develop data anomaly detection, identify trends, and create metrics to measure anomaly impact for product quality enhancement.
Collaborate with data scientists, product managers, and software engineers to design end-to-end data assets.

Requirements

Bachelor’s Degree in Computer Science or related technical field AND 2+ years of technical engineering experience with coding in C#, Java, C, C++, JavaScript, or Python, OR equivalent experience.
Ability to pass a Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.

Nice to have

Master’s Degree and 3+ years experience OR Bachelor's and 5+ years experience in mentioned languages.
Experience with data manipulation (SQL, Hadoop, Spark), NoSql DBs, and/or BI Tools.
Experience in building large scale or big data engineering initiatives.
Experience in streaming processing (Kafka, Spark, Flink).
Experience analyzing data to identify deliverables, gaps, and inconsistencies.
Experience in bot and anomaly analysis and detection.
1+ year of experience designing, developing distributed systems on a cloud platform.

Culture & Benefits

Work in a cutting-edge environment with large data volumes and open-source technologies.
Hybrid work model: expected to work from office at least four days per week if within commute distance.
Culture of inclusion, respect, integrity, and accountability.
Opportunity to innovate product experiences and build fraud-detection infrastructure.
Access to additional benefits and pay information via Microsoft careers website.