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.

Our flagship product, Security Copilot, is the first generative AI product that empowers security and IT teams to protect at the speed and scale of the AI, while remaining compliant to responsible AI principles. As pioneers in the field, we are committed to addressing the evolving challenges and opportunities within the realm of cybersecurity.

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.

• 3+ years of experience designing, developing, or maintaining secure software systems, with applied knowledge of authentication, data protection, access control, and secure coding practices.
• 3+ years of experience designing, building, and operating scalable, highly available cloud services or distributed systems on platforms such as Azure, AWS, GCP, or comparable cloud environments, with production ownership and CI/CD pipeline integration.
• 3+ years of experience programming in modern back-end languages such as C#, Java, Go, or Python.
• 3+ years of experience building systems with emphasis on reliability, durability, and operational efficiency, including experience with live site operations, incident response, and performance optimization.
• 3+ years of experience deploying and maintaining front-end applications, including ownership of CI/CD pipelines & infrastructure components.
• 3+ years of experience with modern front-end frameworks and state management libraries such as React, Redux, Angular, Fluent UI, or similar technologies.

We are looking for a customer obsessed and results oriented software engineer, who can design and develop generative AI services. The team is responsible for delivering a suite of generative AI API based offerings that deliver large language model (LLM) capabilities to Security developers and organizations. These services are designed to simplify the integration of AI functionalities by abstracting the underlying complexities. This team is responsible for building capabilities to offer different base or fine-tuned generative AI models and enabling deployments at scale, GPU capacity management and optimization, integrating responsible AI compliance across AI services and handles uninterrupted model upgrades, deployment and fine tuning.

Responsibilities:-

• Uses appropriate artificial intelligence (AI) tools and practices across the software development lifecycle (SDLC) in a disciplined manner.
• Takes responsibility for the content of their AI-generated changes to artifacts, reviewing all changes and applying appropriate tooling and processes with minimal guidance.
• Creates and implements code for a product, service, or feature, reusing code as applicable with minimal supervision.
• Writes and learns to create code that is extensible and maintainable.
• Considers diagnosability, reliability, and maintainability with few defects, and understands when the code is ready to be shared and delivered.
• Applies coding patterns and best practices to write code (e.g., leveraging state-of-the-art generative artificial intelligence [GenAI], approaches to source code organization, naming conventions).
• Escalates identified blockers or unknowns during the development process, communicates how they will impact timelines, and contributes to identifying strategies and/or opportunities to address them with minimal supervision.
• Understands and provides feedback for proposals for architecture, with technical leadership from others.
• With minimal supervision, tests and explores various design options for a product/solution feature, outlining strengths and weaknesses of each option.
• Collaborates with architects with minimal supervision to build and modify a product/solution feature, providing feedback as needed.
• Begins to own or collaborate with other engineers on the architecture of solutions, following technical leadership as applicable.
• Contributes to the development of design documents that support user stories and other product requirements with oversight.
• Develops an awareness of the current technology landscape.
• Supports efforts to use debugging, tests, tools, logs, telemetry, and other methods to proactively verify assumptions before issues occur for product features in production.
• Conducts incident retrospectives to identify root causes of problems, implements repair actions, and identifies mechanisms to prevent incident recurrence with minimal supervision.
• Under minimal guidance, applies least-access principles, and uses logging, telemetry, and other appropriate mechanisms to investigate issues while retaining privacy and security.

Required Qualifications:

• Bachelor's Degree in Computer Science or related technical field.
• 3+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
• Experience in building, shipping and maintaining cloud services on Azure, AWS, or Google Cloud.
• Ability to work in a fast-paced, dynamic environment and manage multiple priorities.
• Required problem solving, system design, rapid prototyping, and effective communication skills.
• Experience in developing, fine-tuning, integrating and automated deployment of Generative AI models, such as large language models (LLMs)
• Proficiency with containers and experience working with Kubernetes for orchestration and strong experience with Git and CI/CD pipelines for automated testing and deployments.
  

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.