Senior Software Engineering IC

Position: Senior Software Engineering IC4
** Overview*
* Microsoft Security Studio is seeking a  
** Software Engineer to build AI-infused security solutions with customers
** at the intersection of AI, cloud, and cybersecurity.

Working in a Forward Deployed Engineering (FDE) model, you will embed with customer engineers, security teams, and Microsoft product teams to discover high-value problems, shape solutions, and deliver secure, production-ready software using Microsoft platforms, AI and agentic systems, and custom engineering where needed.

AI is central to  
** how we engineer and what we build** . You will apply AI-assisted practices across the development lifecycle and create intelligent security capabilities that reason over complex environments, automate workflows, assist defenders, and act safely on their behalf.

You will own the full lifecycle-from customer discovery, architecture, and success criteria through implementation, AI evaluation, deployment, operation, and a clean handoff of maintainable code and an operable solution.

You will also convert engagement insights into  
** reusable assets, accelerators, patterns, and product improvements
** that extend the Studio's impact.

** This role offers the opportunity to*
* +  
** Build AI-infused security products and solutions with customers
** by working directly with customer engineers, security leaders, and Microsoft engineering teams on ambiguous, mission-critical problems.

+ Apply AI throughout the engineering lifecycle and agentic systems across security scenarios such as security operations, vulnerability discovery and remediation, secure software development, identity, governance, and AI security.

+ Move rapidly from problem discovery to prototype to production, using working software and measurable outcomes to drive decisions.

+ Build solutions across the Microsoft cloud, security, developer, data, and AI ecosystem while meeting customers where they are.

+ Convert customer-specific learning into reusable components, reference architectures, accelerators, and product improvements.

** Responsibilities*
* +  
** Design and build AI-infused security software with customers** , including cloud services, intelligent applications, security automation, agents, developer tooling, integrations, and distributed systems.

+ Embed with customer engineering and security teams to understand desired outcomes, architecture, threat models, data, and operational constraints, then translate ambiguity into executable engineering plans.

+  
** Co-develop in short, iterative cycles** , demonstrating working software and using real-user feedback, evaluations, telemetry, and operational data to refine the solution and measure success.

+  
** Own production-quality delivery
** from prototyping and architecture through implementation, automated testing, CI/CD, infrastructure as code, deployment, observability, troubleshooting, documentation, operational readiness, and handoff.

+ Use AI-assisted engineering across the lifecycle and build agentic systems that safely access enterprise data and tools, with appropriate human review, identity, authorization, data boundaries, isolation, auditability, guardrails, and accountability.

+ Apply secure-by-design and privacy-by-design principles, including threat modeling, least privilege, secrets and identity management, data protection, dependency and vulnerability management, and secure operations.

+ Convert customer-specific learning into  
** reusable components, accelerators, reference implementations, engineering patterns, paved paths, and actionable product feedback** .

+ Lead significant technical work streams by setting direction, decomposing ambiguous problems, making architecture decisions, managing dependencies, risks, and trade-offs, and communicating clearly with technical and senior stakeholders.

+ Collaborate in small multidisciplinary teams, learn rapidly, experiment responsibly, challenge assumptions constructively, and share knowledge across engagements.

** Qualifications*
* ** Required Qualifications*
* + Bachelor's Degree in Computer Science or a related technical field and 4+ years of technical engineering experience coding in one or more languages such as C, C++, C#, Java, JavaScript, Type Script, Go, Rust, or Python;  
** or equivalent experience** .

+ Demonstrated experience designing, building, testing, deploying, debugging, and operating substantial production software or cloud services.

+ Strong software-engineering fundamentals, including data structures, algorithms, APIs, distributed…