About the job
We are looking for Prinicipal Software Engineer. Security represents the most critical priorities for our customers in a world awash in digital threats, regulatory scrutiny, and estate complexity. Microsoft Security aspires to make the world a safer place for all. We want to reshape security and empower every user, customer, and developer with a security cloud that protects them with end to end, simplified solutions.
Responsibilities
• This is a broad cross-team role with high visibility, collaborating with multiple teams across Microsoft.
• Lead the architecture, design and implementation of services for extremely high scale, throughput, durability, and low latency with AI First approach.
• Innovate and make service deployment and maintenance an efficient well-oiled machine that provides excellent reliability with minimal manual engineer intervention.
• Ability to conduct in-depth triage, troubleshooting, and forensics across all facets of the cloud stack while executing processes corrective action and continual service improvement.
• Drive Infrastructure security improvements for mission critical high scale workloads.
• Lead the definition of requirements, KPIs, priorities and planning of engineering deliverables.
• Mentor and grow the energetic, diverse, and driven team with a good mix of senior, mid-level, and entry talent.
Qualifications
Minimum
• Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience
Other Requirements: Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft background and Microsoft Cloud background check upon hire/transfer and every two years thereafter.
Preferred
Experience in driving AI (LLM/ML) based engineering solutions Experience working in cloud environments such as Microsoft Azure Demonstrated ability to drive large technical deliverables independently Experience designing and scaling cloud services or large distributed systems Customer focus and ability to incorporate feedback signals into engineering decisions