This role pays more than
69%
of similar roles. Most pay
$151,000–$199,125
— the shaded band above.
At the midpoint, this role pays about
$177k
versus about
$175k
for comparable roles.
Based on 240 similar postings.
Employer
About Microsoft
Microsoft Corporation is a global technology leader producing software, hardware, and cloud services including Windows, Office 365, Azure cloud platform, Xbox gaming, and Surface devices. Industry: Software & Cloud Computing
Microsoft currently has
598 open roles
on FindRole.
Listed pay typically runs
$119,800–$234,700
across 586 roles with salary data.
As a Senior Software Engineer on the Ads Data Platform team within Microsoft Advertising, you will design and operate high-scale, high-performance systems that process billions of events through near-real-time and offline pipelines. You will build data applications to support business analytics, machine learning models, and real-time reporting for a global ads marketplace. Your daily responsibilities include collaborating with stakeholders to define feature requirements, ensuring security compliance, performing code reviews, and participating in an on-call rotation as a designated responsible individual. The role requires proficiency in languages such as C, C++, C#, Java, JavaScript, or Python, along with experience in distributed systems and big data technologies including Spark, Hadoop, HDFS, Kafka, Flink, and Scala. You will solve complex problems involving computational intelligence, scalable algorithms, and performance optimization to meet online serving requirements.
What does a Software Engineer earn in Washington?
Median $202800 from 326 postings across 28 companies.
Design high-scale system architectures for features that meet security, compliance, and performance requirements.
Develop high-performance data applications to process billions of events through real-time and offline pipelines.
Implement software features with a focus on efficiency, extensibility, reliability, and maintainability.
Perform code reviews to ensure products meet quality standards and are suitable for large-scale production.
Monitor live services as an on-call DRI to resolve system degradations or outages within SLA timeframes.
Profile and analyze distributed system performance to identify and resolve capacity bottlenecks and latency issues.
Develop automation tools to improve the deployment, debugging, and maintenance of product features.
What we're looking for
Bachelor's Degree in Computer Science or related technical field and 4+ years of engineering experience with coding in languages like C, C++, C#, Java, JavaScript, or Python.
Master's Degree in Computer Science or related technical field and 6+ years of engineering experience with coding in various programming languages.
Bachelor's Degree in Computer Science or related technical field and 10+ years of engineering experience with coding in various programming languages.
Experience in Azure cloud platform.
Experience in machine learning and online system design, implementation, and qualification.
At least 2 years of experience in Distributed Systems and Big Data Technologies such as Spark, Hadoop, HDFS, Kafka, Flink, or Scala.
Ability to pass the Microsoft Cloud background check every two years.
Distributed Systems
Microsoft Azure
AWS
Python
C#
Java
C++
JavaScript
Cloud Computing
Service-Oriented Architecture
Observability
Reliability Engineering
AI
Web Technologies
Distributed Systems
Cloud Computing
Microsoft Azure
AWS
Python
C#
Java
C++
JavaScript
Service-Oriented Architecture
Observability
Reliability Engineering
AI
Web Technologies
ScalableSystems
Azure
Python
C++
Java
C#
JavaScript
Machine Learning
Big Data
Distributed Systems
NoSQL
Click house
AKS
.NET
Data Streaming
Information Retrieval
Agile
AB Testing
Web Crawling