Used Tools & Technologies
Not specified
Required Skills & Competences
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Security @ 4
Python @ 6
Data Structures @ 4
Leadership @ 4
Scoping @ 4
Communication @ 7
JavaScript @ 4
Node.js @ 6
API @ 4
LLM @ 4
Compliance @ 4
Codex @ 4
Claude Code @ 4
AI @ 4
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
At SentinelOne, we are driven by a clear purpose: to give the advantage to those who secure our future. As AI reshapes how organizations build, operate, and innovate, the responsibility to protect them becomes more critical than ever. SentinelOne is an AI-native security company building a platform that unifies protection across endpoint, cloud, identity, data, and AI systems.
Responsibilities
- Embed with a functional department (Sales, Customer Success, Finance, Security, People, Legal, etc.) for a defined engagement, run discovery to understand workflows and pain points before writing code.
- Scope, design, and build full-stack custom applications (not just automations or scripts) using modern frameworks, AI coding assistants, and internal platform APIs; move from prototype to production quickly.
- Own delivery end to end including architecture, build, testing, deployment, and the training and handoff required for departmental adoption.
- Work hands-on in the code alongside AI coding tools (Claude Code, Codex, etc.) to compress build cycles and iterate with stakeholders in near real time.
- Make trade-offs between scope, speed, and quality as requirements shift, and communicate those trade-offs to stakeholders and leadership.
- Partner with IT, Security, and Data teams to ensure deployed applications meet SentinelOne's standards for data security, compliance, and long-term supportability.
- Codify recurring patterns, components, and playbooks from engagements into reusable building blocks for the broader engineering organization.
- Feed field learnings back to platform, product, and data teams covering what worked, what broke, and what the next generation of internal tools should look like.
- Measure and report success through production adoption and measurable business impact.
Requirements
- 8+ years of professional software engineering experience with demonstrated ability to design, build, and ship full-stack applications (frontend and backend) independently.
- Proficiency in at least one modern backend language (Python, Node.js/JavaScript, or comparable) and sufficient frontend ability to build usable internal tools without a dedicated design/frontend team.
- Hands-on experience using AI coding assistants and LLM-based tools (Claude Code, Cursor, Codex, etc.) to accelerate development.
- Working understanding of APIs, webhooks, data structures, and integration patterns.
- Track record of working directly with non-technical stakeholders, scoping ambiguous requests, managing expectations, and delivering working solutions.
- Comfort operating with significant autonomy and shifting priorities across departments and problem spaces.
- Strong communication skills to explain technical trade-offs to both functional VPs and fellow engineers.
- Prior experience in forward-deployed, solutions engineering, professional services, or startup generalist roles where you owned a project from discovery through production is preferred.
- Exposure to enterprise security, compliance, or data governance requirements is preferred given the internal, security-conscious environment.
Compensation & Location Notes
- This U.S. role has a base pay range that will vary based on candidate location.
- Base Salary Range: $184,000—$253,000 USD
- SentinelOne participates in the E-Verify Program for all U.S. based roles.
Benefits
- Equity: Restricted Stock Units (RSUs), Employee Stock Purchase Plan (ESPP)
- Time off: Flexible time off, paid company holidays, paid sick time, gender-neutral parental leave, grandparent leave
- Insurance & financial: Medical, dental, vision, 401(k) with company match, life & disability insurance, health & dependent care FSA, voluntary benefits
- Wellbeing & perks: Home office allowance, mobile phone reimbursement, wellness coach, gym reimbursement, fertility coverage, adoption & surrogacy reimbursement, other programs (EAP, ARAG legal, pet insurance, Cancer Care, global travel medical)
More jobs at SentinelOne
Staff Forward Deployed Engineer, AI
SentinelOne · United States
USD 156,000-215,000 per year
CRO Specialist
SentinelOne · United States
USD 108,000-149,000 per year
Sr Solutions Engineer
SentinelOne · United States
USD 196,000-270,000 per year
Staff Endpoint Software Engineer
SentinelOne · United States
USD 156,000-215,000 per year
Technical Support Engineer
SentinelOne · United States
USD 92,800-115,000 per year
Similar jobs
Senior AI Engineer
Grafana Labs · United States
USD 154,400-185,300 per year
Senior Software Engineer - AI and Automation, Data & Analytics
Grafana Labs · Canada
CAD 164,500-197,400 per year
Forward Deployed Engineer - Physical AI Cloud Platform
Nebius · United States, San Francisco, United States, Austin, United States
USD 179,500-224,300 per year
Solutions Engineer, Financial Services
OpenAI · San Francisco, United States, New York City, United States
USD 221,000-278,000 per year
Solutions Engineer, Private Equity
OpenAI · San Francisco, United States, New York City, United States
USD 221,000-278,000 per year
Solutions Engineer, Core Digital Native
OpenAI · San Francisco, United States, New York City, United States
USD 174,000-245,000 per year
Solutions Engineer, Core Enterprise
OpenAI · San Francisco, United States, New York City, United States
USD 221,000-245,000 per year
Staff GTM Engineer (AI & Automation)
Grafana Labs · United States
USD 175,000-210,000 per year