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Staff AI API Engineer

About Us

At SentinelOne, we’re redefining cybersecurity by pushing the limits of what’s possible—leveraging AI-powered, data-driven innovation to stay ahead of tomorrow’s threats.

From building industry-leading products to cultivating an exceptional company culture, our core values guide everything we do. We’re looking for passionate individuals who thrive in collaborative environments and are eager to drive impact. If you’re excited about solving complex challenges in bold, innovative ways, we’d love to connect with you.

What are we looking for?

We’re seeking a Staff AI API Engineer specialized in backend systems and API development. This role requires deep expertise in Python-based API engineering, database architecture, distributed systems, and high-performance backend infrastructure. The ideal candidate will have proven experience designing, building, and maintaining production-grade APIs that integrate sophisticated AI functionality.

What will you do?

As a Staff AI API Engineer, you’ll join our globally distributed team to:

  • Develop and maintain high-performance Python-based backend APIs supporting our generative and agentic AI products.
  • Design and implement scalable, secure, and reliable backend architectures, leveraging technologies like asyncio, FastAPI, gRPC, Kafka, and GraphQL.
  • Ensure robust data management, incorporating relational and NoSQL databases, Redis caching, streaming, and efficient data handling.
  • Implement and manage secure zero-trust authentication and authorization schemes for public and internal APIs.
  • Collaborate closely with frontend engineers, AI researchers, product managers, and DevOps teams to deliver cohesive product experiences.
  • Optimize backend services for scalability, reliability, and performance in high-availability environments.

What skills and experience should you bring?

We're looking for experienced engineers passionate about building secure, high-performing backend systems, with:

  • A degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience.
  • 7+ years of professional experience developing scalable, production-quality Python backend services.
  • Expert-level proficiency with Python, asyncio, and backend API frameworks such as FastAPI, gRPC, and GraphQL.
  • Deep understanding of backend architectures, distributed systems, and microservices.
  • Experience managing database architectures (relational databases, NoSQL, Redis).
  • Strong expertise in authentication and authorization protocols (OAuth, JWT, OpenID Connect, etc.).
  • Proven track record interacting with third-party APIs and developing fail-safe integrations.
  • Familiarity with modern generative AI technologies (e.g., OpenAI, Anthropic, Google Gemini, Meta's LLaMA) and experience building backend integrations.
  • Excellent communication skills and a collaborative approach in globally distributed teams.

Exceptional candidates will also bring expertise in:

  • Proficiency in languages beyond Python, including Go, Java, Kotlin, Rust, C++.
  • MLOps and AIOps practices and tools such as MLFlow, Airflow, or Weights & Biases.
  • Experience with cloud infrastructure (AWS, Azure, GCP) and deployment tools (Docker, Kubernetes, Terraform, ArgoCD).
  • Experience optimizing API performance and scalability in production environments.
  • Background in cybersecurity, threat detection, or related fields.
  • Agile methodologies, including experience as a Technical Lead or Scrum Master.

Why Us?

You will be joining a cutting-edge company where you will tackle extraordinary challenges and work with the very best in the industry.

  • Medical, Vision, Dental, 401(k), Commuter, Health and Dependent FSA
  • Unlimited PTO
  • Industry-leading gender-neutral parental leave
  • Paid Company Holidays
  • Paid Sick Time
  • Employee stock purchase program
  • Disability and life insurance
  • Employee assistance program
  • Gym membership reimbursement
  • Cell phone reimbursement
  • Numerous company-sponsored events, including regular happy hours and team-building events
This U.S. role has a base pay range that will vary based on the location of the candidate.  For some

locations, a different pay range may apply.  If so, this range will be provided to you during the recruiting

process.  You can also reach out to the recruiter with any questions.

Base Salary Range
$170,200$234,600 USD

SentinelOne is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

SentinelOne participates in the E-Verify Program for all U.S. based roles. 

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Average salary estimate

$202400 / YEARLY (est.)
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$170200K
$234600K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Staff AI API Engineer, SentinelOne

At SentinelOne, we’re on a mission to redefine cybersecurity, and we're looking for a talented Staff AI API Engineer to join our innovative team. If you are passionate about backend systems and API development and have a knack for Python-based programming, this is your opportunity to shine. Set in a collaborative environment, you'll utilize your expertise to design and implement high-performance backend architectures for our cutting-edge generative and agentic AI products. You will be responsible for developing and maintaining robust Python-based APIs while ensuring every piece is secure, scalable, and efficient. With technologies like FastAPI, gRPC, and Kafka at your fingertips, you will play a crucial role in optimizing our systems for high availability. From working alongside AI researchers and product managers to collaborating with DevOps teams, your contributions will directly impact our ability to stay ahead of tomorrow's cybersecurity threats. If you have over 7 years of experience in crafting scalable and production-quality backend solutions and a deep understanding of distributed systems, we would love to connect. Your journey at SentinelOne promises not just professional growth but also a chance to impact the future of secure technology, all while enjoying a workplace culture that encourages innovation and values every team member's expertise.

Frequently Asked Questions (FAQs) for Staff AI API Engineer Role at SentinelOne
What does a Staff AI API Engineer do at SentinelOne?

As a Staff AI API Engineer at SentinelOne, you will primarily focus on developing and maintaining high-performance Python-based backend APIs that support our generative and agentic AI products. You'll work on designing scalable, secure, and reliable backend architectures and collaborate closely with teams across the organization to deliver cohesive product experiences.

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What qualifications are needed for the Staff AI API Engineer role at SentinelOne?

Candidates for the Staff AI API Engineer position should have a degree in Computer Science or a related field, or equivalent practical experience. It's important to have at least 7 years of professional experience in developing scalable, production-quality Python backend services, and to possess deep knowledge in backend architectures and distributed systems.

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What technologies should a Staff AI API Engineer be familiar with at SentinelOne?

A Staff AI API Engineer at SentinelOne should be proficient in Python, particularly with frameworks such as FastAPI, gRPC, and GraphQL. Familiarity with database architectures like relational databases, NoSQL, and Redis, as well as understanding authentication protocols like OAuth and JWT, is essential.

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What is the team culture like for the Staff AI API Engineer at SentinelOne?

At SentinelOne, we pride ourselves on maintaining a collaborative and innovative team culture. As a Staff AI API Engineer, you will work alongside diverse professionals including frontend engineers, AI researchers, and product managers, fostering a supportive environment that encourages creative problem-solving and effective communication.

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What benefits does SentinelOne offer to the Staff AI API Engineer position?

SentinelOne offers an excellent benefits package for the Staff AI API Engineer position, which includes medical, dental, and vision insurance, unlimited PTO, industry-leading parental leave, paid holidays, and various wellness programs. You'll also enjoy employee stock purchase options and regular team-building events.

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Common Interview Questions for Staff AI API Engineer
Can you describe your experience with Python and API development?

In your answer, focus on specific projects where you've utilized Python for backend API development, detailing the frameworks you used such as FastAPI or gRPC. Highlight any challenges you faced and how you overcame them to demonstrate your problem-solving skills.

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How do you ensure the security of backend APIs?

When answering this question, mention protocols you are familiar with, like OAuth and JWT, and describe steps you've taken in the past to implement secure authentication and authorization methods in your APIs.

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What are some best practices for designing scalable backend systems?

Discuss strategies like microservices architecture, database optimization, and the importance of load testing. Provide examples of how you applied these practices in previous roles to achieve scalability.

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Have you worked with modern AI technologies, and how would you integrate them into an API?

Your response should detail any experience you have with AI technologies, such as OpenAI or Google Gemini. Discuss how you would approach integrating these into an API and the challenges you might anticipate.

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What tools or frameworks do you prefer for API development, and why?

Discuss your preferences based on your experience, citing tools like FastAPI for its speed and efficiency or gRPC for its ability to handle large data throughput. Back your preferences with reasoning based on past results.

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How do you handle error management in API development?

Highlight methods you have used to manage errors gracefully, such as defining clear error messages and status codes, logging errors for future analysis, and employing automated monitoring tools to detect issues before they escalate.

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Can you explain your experience with cloud infrastructure and deployment tools?

Describe your experience with cloud platforms like AWS, Azure, or GCP, and detail your proficiency with deployment tools such as Docker and Kubernetes. Discuss specific examples of projects where you implemented these technologies.

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What is your approach to collaborating with cross-functional teams?

Share experiences where you successfully collaborated with diverse teams, emphasizing communication strategies, roles you played, and how you ensured alignment on project objectives across disciplines.

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What challenges have you faced in optimizing API performance and scalability?

Identify specific challenges you've encountered, such as bottlenecks during high traffic. Discuss the solutions you implemented, demonstrating your problem-solving skills, and any measurable results you achieved.

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How do you stay updated with industry trends related to AI and backend development?

Explain your commitment to continuous learning through resources such as technical blogs, webinars, conferences, and professional communities. Mention how you have applied new knowledge to your work to stay at the forefront of technology.

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Full-time, on-site
DATE POSTED
April 16, 2025

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