| Microsoft Careers

Microsoft

Quick summary

Work type: On-site
Location: —
Salary: $119,800–$234,700 / yr
Posted: 55 days ago

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $180k

This role $177k

$106k most similar roles pay here $248k

This role pays more than 64% of similar roles. Most pay $152,150–$207,350 — the shaded band above. At the midpoint, this role pays about $177k versus about $180k for comparable roles.

Based on 239 similar postings.

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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 1577 open roles on FindRole.

Listed pay typically runs $119,800–$234,700 across 1405 roles with salary data.

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At a glance

TL;DR · | Microsoft Careers

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As a Senior Software Engineer on the Azure Specialized team, you will play a pivotal role in designing and delivering next-generation High Performance Computing (HPC) solutions for diverse customer workloads such as weather prediction and computational fluid dynamics. Your responsibilities include defining, deploying, and sustaining hardware and software infrastructure for HPC and AI-based workloads, focusing on quality, tooling, and metrics. You will collaborate with a team of experienced engineers to tackle complex challenges across various hardware architectures and network types, ensuring seamless integration and optimal performance. The role requires expertise in languages like C, C++, PowerShell, or Python, as well as experience with telemetry, observability, and distributed systems. This position offers the opportunity to significantly impact customers and drive innovation within a rapidly expanding ecosystem focused on delivering cutting-edge solutions at massive scale.

Skills

Python C++ PowerShell Azure Docker Kubernetes Terraform CI/CD Prometheus Grafana PostgreSQL Redis HPC AI Machine Learning Metric Telemetry Observability Distributed Systems Cloud Infrastructure Data Science

What you'll do

Define and deploy Azure infrastructure for HPC workloads focusing on quality and tooling.
Evaluate metrics and telemetry to enhance the performance and reliability of Azure services.
Develop new tools and alerting systems to improve monitoring and observability in cloud infrastructure.
Lead the design and implementation of end-to-end vertical solutions for customer workloads.
Ensure alignment with partner teams to meet dynamic needs and drive desirable user experiences.
Build a test-driven engineering culture to reduce regressions and bugs in production environments.

What we're looking for

4+ years of technical engineering experience with coding in C, C++, PowerShell, or Python
Bachelor's Degree in Computer Science or related field
2+ years of experience in telemetry and observability for cloud infrastructure
Experience evaluating metrics and making recommendations to advance Azure HPC infrastructure
Familiarity with high performance computing and co-designing hardware and software

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