Senior Software Engineer

Microsoft
Redmond, United States of America
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Tech stack

Amazon Web Services (AWS)
Business Analytics Applications
Azure
Big Data
Information Engineering
Data Structures
Data Systems
Distributed Data Store
Distributed Systems
Graph Database
Python
Neo4j
Software Engineering
SQL Databases
Data Streaming
Data Processing
Spark
Build Management
Kafka
Data Management

Job description

  • Design and build scalable data platforms and pipelines to process large-scale datasets across distributed systems.
  • Develop data processing and analytics solutions to derive insights from complex and high-volume data.
  • Build and maintain batch and streaming pipelines using modern data technologies (e.g., Spark, Kafka).
  • Design and implement graph-based data models, enabling efficient representation of relationships across entities.
  • Develop graph traversal and relationship analysis logic to support advanced querying and insights (e.g., multi-hop analysis, entity linking).
  • Collaborate with cross-functional teams to translate business requirements into scalable technical solutions.
  • Ensure data quality, reliability, and performance in production systems.
  • Drive end-to-end ownership from system design and implementation to deployment and monitoring.

Requirements

  • 7+ years of experience in software engineering, data engineering, or related roles.
  • Strong fundamentals in data structures, distributed systems, and data modeling (including graph modeling concepts).
  • Hands-on experience with big data technologies (e.g., Spark, Kafka, distributed storage systems).
  • Proficiency in Python and SQL.
  • Experience building scalable batch and/or streaming pipelines.
  • Familiarity with graph processing frameworks or graph databases (e.g., GraphFrames, Neo4j, TigerGraph, NetworkX).
  • Understanding of graph traversal techniques (e.g., BFS/DFS, multi-hop queries, relationship aggregation).
  • Experience working with large datasets and optimizing performance (joins, partitioning, skew handling).
  • Experience with cloud platforms (Azure/AWS/GCP) is a plus.

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

About the company

Microsoft is a global technology company headquartered in Redmond, Washington. Our mission is to empower every person and every organization on the planet to achieve more. We develop, license, and support a wide range of software products, services, and devices that help individuals and businesses realize their full potential.

Our flagship products include the Microsoft 365 productivity cloud, Windows operating system, Azure cloud platform, and Dynamics 365 business applications. We are also a leader in areas such as artificial intelligence, cybersecurity, developer tools, and gaming through Xbox and Game Pass.

With operations in more than 190 countries and over 220,000 employees worldwide, Microsoft is committed to responsible innovation, inclusive economic growth, and sustainability. We work closely with governments, industries, and communities to ensure that technology serves the public good and helps address some of the world’s most pressing challenges.

As we celebrate our 50th anniversary in 2025, we continue to look forward—investing in AI, cloud, and quantum computing to shape the future of work, education, and society at large scale.

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