Microsoft

Senior Software Engineer

Microsoft$119K — $234K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Computer Science or related field plus 4+ years in technical engineering with multiple coding languages OR equivalent experience.
  • 6+ years in coding languages like C#, C++, Java.
  • Familiarity with data processing technologies such as Spark or Flink, and message queue technologies like Kafka or EventHub.
  • Experience in cloud environments, particularly Azure.
  • Knowledge of data storage technologies including HDFS and Azure Blob.

Responsibilities

  • Design and build optimal data processing architecture and systems for analytics pipelines and dashboards.
  • Create scalable and fault-tolerant data pipelines.
  • Implement data anomaly detection and quality checks while optimizing pipelines.
  • Ensure understanding of data compliance and governance.
  • Collaborate with data scientists and product managers on end-to-end data asset development.
  • Hands-on experience with Spark, Flink, and message queue technologies.
  • Utilize AI technologies in various stages of coding and testing.

Benefits

  • Comprehensive health and wellness benefits.
  • Opportunity for professional development and career growth.
  • Flexible work arrangements, including hybrid work options.
  • Access to cutting-edge technology and tools.
  • Collaborative team environment with cross-functional collaboration opportunities.
Full Job Description
Overview

Are you a Senior Software Engineer who thrives in a cutting-edge environment where you get to work with some of the largest data volumes processing? Are you excited to craft the most reliable data processing pipelines with Spark and Flink to process PiB level data every day? Are you passionate about using artificial intelligence tools and practices across the software development lifecycle and data processing?

The Data and Insight team in Search Foundation organization leverages open-source technology to process our petabyte scale data of Bing and MSN logs and provide comprehensive insight into experiments. The team also supports the grounding business with Realtime signals and insight information and protects the Bing search through offline bot protection analysis and model training.

Responsibilities

You are a seasonal leader in building scalable data analytics/insights platform with PiB level data processing every day. You have a growth mindset to learn the cut-edge technology and apply it in daily work to change the status quo. You dive deep and resolve the challenging technical problem. You insist on the highest standard for system performance and reliability. You will be working on Bing mission critical analytical data and support the grounding business; processing at big data scale and need for generating real-time insights. You will be working in a hybrid technology space that combines the best from Azure and open-source world. Other responsibilities may include:
  • Design, build and own the optimal data processing architecture and systems for new data and analytics pipelines, dashboards and metrics leveraging Azure and open-source technologies
  • Build core datasets as well as scalable and fault-tolerant pipelines
  • Build data anomaly detection, data quality checks, and optimize pipelines for ideal compute and storage systems while guaranteeing high quality and SLA datasets
  • Understand the data compliance and data governance
  • Collaborate with cross functional partners including data scientists and product managers to design and develop end-to-end data assets that help improve our products.
  • Hand on at least one data process technology like Spark, Flink, and message queue technology like Kafka, EventHub
  • Hand on data storage technology like HDFS, Azure blob etc
  • Leverage AI technology in coding/testing/Data processing/data validation.


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.

Preferred Qualification:
  • 6+ years of experience in one or more coding languages (C#, C++, Java)
  • Familiar at least one data process technology like Spark, Flink, and message queue technology like Kafka, EventHub
  • Have experience on cloud environment like Azure
  • Have experience on data storage technology like HDFS, Azure blob etc
  • Have experience in leveraging AI technology in coding or testing work.
  • Fluence verbal and written English communication.
  • 6+ years' experience in backend service development, 2+ years' experience in batch or streaming data processing to process the PiB level data.
  • Domain expert on Spark or Flink to handle PiB level data every day.
  • Experience in data pipeline performance optimization
  • Experience to use AI in data processing and data validation
  • Data compliance or governance experience is a plus


Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $160,200 - $261,000 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

About Microsoft

Microsoft is an American multinational corporation that develops, manufactures, licenses, supports, and sells a range of software products and services. Microsoft’s devices and consumer (D&C) licensing segment licenses the Windows operating system and related software, Microsoft Office for consumers, and the Windows Phone operating system. The company’s computing and gaming hardware segment provides Xbox gaming and entertainment consoles and accessories, second-party and third-party video games, and Xbox Live subscriptions; surface devices and accessories; and Microsoft PC accessories. Its phone hardware segment offers Lumia smartphones and other non-Lumia phones. Its D&C segment provides Windows Store, Xbox Live transactions, and Windows phone store; search advertising; display advertising; Office 365 Home and Office 365 Personal; first-party video games; and other consumer products and services as well as operating retail stores. Microsoft’s commercial licensing segments license server products, including Windows Server, Microsoft SQL Server, Visual Studio, System Center, and related Client Access Licenses (CALs); Windows Embedded; Windows operating system; Microsoft Office for business, including Office, Exchange, SharePoint, Lync, and related CALs; Microsoft Dynamics business solutions; and Skype. Its commercial segment offers enterprise services, including premier support services and Microsoft consulting services; commercial cloud comprising Office 365 Commercial, other Microsoft Office online offerings, Dynamics CRM Online, and Microsoft Azure; and other commercial products and online services. The company markets and distributes its products through original equipment manufacturers, distributors, and resellers, as well as online.

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Learn more about Microsoft
Size
181,000 employees
Market Cap
$1,762.4 billion
Industry
Net Income
$51.3 billion
Founded
1975
5 Year Trend
+15.5%
Revenue
$153.2 billion
NASDAQ

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