Senior AI Software Engineer, SentinelOne
$132-209.3k
+ Employee stock purchase program
Autonomous cybersecurity platform
Be an early applicant
Autonomous cybersecurity platform
1001+ employees
Be an early applicant
$132-209.3k
+ Employee stock purchase program
1001+ employees
Company mission
To defeat every attack, every second, of every day.
Role
Who you are
- A degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience
- 4+ years of experience building and shipping production backend software (Senior or Staff level, depending on experience and impact)
- Excellent modern Python engineering skills, with the ability to work effectively in distributed, asynchronous environments
- Strong system design skills, including the ability to write clear design docs and solution specifications that align stakeholders and drive sound architectural decisions
- Demonstrated ability to shepherd work from concept through production in complex, evolving environments
- Proven experience designing and implementing integrations across multiple systems in production environments
- Hands-on experience shipping and operating LLM- or generative-AI–backed features or services as part of larger production systems
- Excellent communication skills and a collaborative approach in globally distributed teams
- Experience designing or operating core platforms, internal services, or developer enablement tooling
- Experience with applied LLM systems and context engineering, including agentic workflows, retrieval-augmented generation, or evaluation pipelines
- Experience building and evolving service interfaces using REST, GraphQL, and/or gRPC, with an understanding of tradeoffs around performance, schema evolution, and compatibility
- Experience with stateless and stateful backend systems (e.g., relational or NoSQL databases, caching, streaming systems)
- Experience with modern AI engineering ecosystems, such as Pydantic AI, LLM tracing and observability systems, evaluation pipelines, or MCP
- Familiarity with MLOps or AIOps concepts and tooling (e.g., MLflow, Databricks, model gateways)
- Experience with cloud infrastructure (AWS, Azure, GCP), including effective use of managed services, and deployment tools (Docker, Kubernetes, Terraform, ArgoCD)
- Background in—or curiosity about—applying AI to cybersecurity or similarly complex, real-world domains
What the job involves
- We’re looking for a Senior Software Engineer with strong backend fundamentals who is excited about building production AI systems
- This role is a great fit for a backend SWE who works comfortably in AI-driven problem spaces and wants to apply strong software engineering skills to create LLM-backed products and platforms
- This is not a research role. While we work closely with research and science teams and often operate in greenfield spaces, this position sits squarely in a product engineering organization
- The focus is on designing, building, and operating reliable systems that ship real value to customers and internal users
- Engineers on this team may lean more toward platform foundations (core services, APIs, enablement) or toward AI application and evaluation work (LLM-powered features, agentic workflows, quality systems), depending on strengths and interests
- What unites the role is a strong commitment to software engineering rigor, stewardship, and continuous learning
- Our team places a high value on experimentation and knowledge sharing. Engineers are encouraged to explore new AI tools and techniques to improve their own productivity and the quality of their work, and to share what they learn with others
- Design, build, and operate backend services in Python that power AI-driven products and shared capabilities
- Build and maintain resilient service integrations across internal and external systems, handling failure modes, rate limits, and interface changes
- Own ambiguous, end-to-end problems: from early design and architecture through implementation, rollout, and iteration in production
- Develop and evolve LLM-backed features and agentic workflows used in production, with a focus on reliability, observability, and real-world behavior
- Contribute to core AI platforms and enablement systems—services that your team uses directly and that other engineers can build on
- Collaborate with product managers, researchers, and other engineers across teams to turn loosely defined AI use cases into concrete, production-ready systems
- Help shape evaluation and quality strategies for AI-powered features, including building or extending evaluation harnesses, benchmarks, or feedback loops
- Act as a technical leader for the work you own—making sound design decisions, coordinating with stakeholders, and contributing to design and code reviews
Our take
Cybercriminals are now leveraging the power of automation to make the current threat landscape too advanced for a lot of legacy antivirus software. SentinelOne is a cybersecurity company that matches this automation with machine learning-focused software designed to help businesses defend against online attacks.
The company expanded the scope of its business from the endpoint security market to three markets valued at a combined $30 billion, including the corporate endpoint security and IT operations management markets. This gives SentinelOne a bigger potential customer base, although it also puts them in direct competition with more focused cybersecurity companies, in addition to its biggest competitor, CrowdStrike.
When the company went public in 2021, it made financial headlines as the highest-valued cybersecurity IPO ever, which gave SentinelOne a market capitalisation of $10 billion. However, it's since fallen to around $ 4 billion. It has subsequently launched S Ventures, a $100M fund, through which SentinelOne invests in cybersecurity startups and has expanded its partnership with major tax firm KPMG to accelerate cyber investigations and responses to threats.
Steph
Company Specialist at Welcome to the Jungle
Insights
61% employee growth in 12 months
Company
Funding (last 2 of 9 rounds)
Feb 2021
$100m
LATE VC
Nov 2020
$267m
LATE VC
Total funding: $800.2m
Company benefits
- Incentive-based Wellness Challenges
- Medical, Dental & Vision
- Gym Reimbursement
- Career Wellness Perks
- Mental Health & Mindfulness
- Paid Parental Leave
- 401k
- Flexible Spending Accounts
- Short & Long Term Disability Insurance
- Employee Assistance Program
- Life Insurance
- Unlimited Time Off
- Paid Sick Time
- Paid Holidays
- Happy Hours
- Parties & Celebrations
- Team Building Activities
- All-Hands & Town Hall Gatherings
Company HQ
Old Mountain View, Mountain View, CA
Leadership
Tomer Weingarten
(Co-Founder & CEO)They started their career in Software Development at Mckit Systems prior to co-founding dPolls and Carambola Media. They left their position as VP of Products at Toluna in December 2012 to found SentinelOne in January 2013, where they serve as CEO.
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