1 day ago
Redmond, WA, USASenior / Staff+
H1B sponsor
Base Salary
$120k - $304k/yr
Responsibilities
- Design, build, and evolve scalable distributed services supporting reliable commerce experiences.
- Develop APIs and high-scale data pipelines for offer lifecycle management, ingestion, data modeling, analytics, and real-time decision-making.
- Lead architecture and modernization efforts that standardize shared capabilities and improve platform consistency.
- Build for scalability, extensibility, performance, security, and operational reliability.
- Partner with engineering, product, and data science teams to translate customer and business needs into technical solutions.
- Apply data, machine learning, and AI to anomaly detection, forecasting, intelligent routing, automated insights, engineering productivity, and LLM-based capabilities.
- Own service and model reliability through observability, testing, deployment, monitoring, incident response, and continuous improvement.
- Conduct experimentation, data analysis, feature engineering, model evaluation, and production validation.
- Raise engineering standards through design and code reviews, technical mentorship, knowledge sharing, and hands-on delivery.
Requirements
- Bachelor’s degree in Computer Science or a related technical field and 4+ years of technical engineering experience with coding in C, C++, C#, Java, JavaScript, or Python, or equivalent experience.
- Ability to pass Microsoft, customer, and/or government security screening requirements, including the Microsoft Cloud Background Check.
- Experience designing scalable distributed or cloud-based systems, backend services, APIs, and service-oriented architectures.
- Experience with Azure, AWS, or Google Cloud and high-scale data pipelines or shared data models.
- Knowledge of software architecture, system design, scalability, performance, reliability, security, and operational excellence.
- Experience with automated testing, observability, production monitoring, incident response, and operating services at scale.
- Ability to evaluate technical trade-offs, troubleshoot distributed systems, and translate ambiguous needs into effective solutions.
- Experience collaborating across engineering, product, data science, and other cross-functional teams.
- Experience with data-intensive systems, large-scale ingestion, processing, analytics, or real-time decision-making.
- Experience applying machine learning or AI to production scenarios, including anomaly detection, forecasting, intelligent routing, automated insights, or LLM-based automation.
- Experience driving technical design, architecture, engineering standards, modernization, design reviews, code reviews, and mentoring.
- Experience with commerce domains such as offers, catalogs, pricing, payments, marketplaces, billing, or transactions.
- Preferred experience with Spark, Kafka, Databricks, PyTorch, TensorFlow, Scikit-learn, experimentation, statistical modeling, feature engineering, model evaluation, model lifecycle management, generative AI, LLMs, React, or TypeScript.
Benefits
- The role is onsite three days per week at Microsoft’s offices in Redmond, Washington.
- Certain roles may be eligible for benefits and other compensation.
- The position is open for a minimum of five days, with applications accepted on an ongoing basis until filled.
Tech Stack
Apache KafkaApache SparkAWSAzureCC#C++DatabricksGoogle CloudJavaJavaScriptPythonPyTorchReactscikit-learnTensorFlowTypeScript
Categories
BackendData Engineering
About Microsoft
Microsoft develops operating systems, productivity software, cloud services, developer tools, and consumer devices for individuals, enterprises, and governments. Its main products include Windows, Microsoft 365, Azure, Visual Studio/GitHub, Xbox, and LinkedIn; revenue comes from software subscriptions and licenses, cloud consumption, hardware sales, and advertising. Founded in 1975 and headquartered in Redmond, Washington, Microsoft is a public company traded on Nasdaq.