Microsoft

Senior Software Engineer

Redmond, WA US
USD 117k - 250k
C# Java JavaScript Python Microservices Machine Learning Azure C++
Description

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. The Microsoft Security organization accelerates Microsoft’s mission and bold ambitions to ensure that our company and industry is securing digital technology platforms, devices, and clouds in our customers’ heterogeneous environments, as well as ensuring the security of our own internal estate. Our culture is centered on embracing a growth mindset, a theme of inspiring excellence, and encouraging teams and leaders to bring their best each day. In doing so, we create life-changing innovations that impact billions of lives around the world.

 

Artificial Intelligence (AI) has the potential to change the world around us. At Microsoft, we are committed to the advancement of AI driven by ethical principles. We are looking for a Senior Software Engineer to join a small incubation team building tools and services to accelerate Microsoft’s capabilities for detecting and responding to AI incidents. This role works broadly across Microsoft on all levels of the AI stack and the teams supporting this important transformation. Are you passionate about the safety and security of AI and how that intersects with our lives? This may be a great opportunity for you!

 

Who we are: We are the Artificial Generative Intelligence Security (AeGIS) team, and we are charged with ensuring justified confidence in the safety of Microsoft’s generative AI products. This encompasses providing an infrastructure for AI safety; serving as a coordination point for all things AI incident response; researching the quickly evolving threat landscape; red teaming AI systems for failures; and empowering Microsoft with this knowledge. We partner closely with product engineering teams to mitigate and address the full range of threats that face AI services – from traditional security risks to novel security threats like indirect prompt injection and entirely AI-native threats like the manufacture of Non-Consensual Intimate Imagery (NCII)  or Child Sexual Abuse Material (CSAM) or the use of AI to run automated scams. We are a mission-driven team intent on delivering trustworthy AI and response processes when it does not live up to those standards. We are always learning. Insatiably curious. We lean into uncertainty, take risks, and learn quickly from our mistakes. We build on each other’s ideas, because we are better together. We are motivated every day to empower others to do and achieve more through our technology and innovation. Together we make a difference for all of our customers, from end users to Fortune 50 enterprises. Our team has people from a wide variety of backgrounds, previous work histories, and life experiences, and we are eager to maintain and grow that diversity. Our diversity of backgrounds and experiences enables us to create innovative solutions for our customers. Our culture is collaborative and customer focused.

 

What we do: The AI IR engineering team is part of the AI Safety & Security Platform and works alongside the front-line subject matter experts detecting and responding to incidents across Microsoft’s AI services. AI has the potential to transform our daily interaction with technology. Our team keeps the outcome focused on justified trust in Microsoft’s AI services. We are passionate about ensuring that the transformational opportunities outweigh the possible harms. When harm occurs, we address them in a timely manner. We work to consistently improve the resiliency of the systems that enable defenders to protect our AI products and services. Our team tightly partners throughout Microsoft so that we learn from and share experience in order to prevent harms before they happen. How you can help: Bring your passion for security and safety, along with your engineering experience, expertise in building scalable software solutions, and desire to be on the cutting edge of generative AI.  We collaborate closely with incident responders and security analysts to quickly build tools and automation in support of the effective resolution of AI safety and security issues. The ideal candidate will have experience shipping scalable, deeply integrated applications and tools to automate manual processes and enable new capabilities. Your passion for customer experience, ability to communicate technical details cross-functionally, and keen eye to spot opportunities to automate will aid you greatly in this role.  

 

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Required Qualifications:

  • Bachelor's Degree in Computer Science, or related technical discipline AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python

                    OR equivalent experience.

  • 2+ years of experience delivering scalable, reliable, and performant applications or tools.
  • 2+ years of experience with distributed software design patterns and cloud systems architecture, including microservices, containers, load-balancing, queuing, caching.

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 Cloud background check upon hire/transfer and every two years thereafter

Preferred Qualifications:

  • Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python

OR Master'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.

  • 2+ years experience delivering software for cybersecurity operations, including but not limited to anomaly detection, Security Operations Center (SOC) detection, threat analytics, crisis management, product vulnerability research, and operations incident response.
  • Interest in leveraging generative Artifical Intelligence (AI) and Machine Learning (ML) in security tooling
  • Experience building and deploying services to Azure Ability to communicate technical details clearly across organizational and functional boundaries.
  • Demonstrated curiosity to learn about cross-functional incident response procedures
  • Strong interpersonal awareness and a desire to learn, grow, and drive change
  • A solid understanding of Microsoft organizations, technologies and products, especially as they relate to security, will ensure a quick start

Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $117,200 - $229,200 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $153,600 - $250,200 per year.

 

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay 

 

Microsoft will accept applications for the role until January 16, 2025. 

 

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.  We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.

 

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

 

#MSFTSecurity #AI #RAI #Safety #Security #MSECAIR #AEGIS #AIIR #AISP

  • Design and develop full-stack solutions supporting critical incident response functions, reducing triage, analysis, and mitigation times during security investigations.
  • Identify technical opportunities to optimize and improve Incident Response processes and help the team scale by quickly delivering scripts, tools, and services.
  • Contribute to technical strategy for Artificial Intelligence safety and security platform architectures.
  • Collaborate deeply with cross-functional teams, including security analysts, data scientists, and product engineering teams to define and execute requirements.
  • Work with product engineering teams to address safety or security issues identified during threat modeling or past incidents.
  • Be a champion for security incident response outcomes by providing relevant technical guidance, recommendations, and software development lifecycle requirements.

Other

Microsoft
Microsoft
Data Management Developer Tools DevOps Enterprise Software Operating Systems

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