depthfirst Logo

depthfirst

Forward Deployed Engineer

Posted 5 Hours Ago
Be an Early Applicant
In-Office
San Francisco, CA, USA
Entry level
In-Office
San Francisco, CA, USA
Entry level
Own enterprise customer deployments from architecture and planning through production readiness, installation, troubleshooting, upgrades, and operational handoff. Collaborate with security, infrastructure, and cloud teams, solve Kubernetes and cloud deployment challenges, write production code and automation, build integrations, and convert recurring customer needs into scalable platform improvements. Travel to customer sites as needed and communicate technical tradeoffs across customer and internal teams.
The summary above was generated by AI
About depthfirst

We believe that software is the foundation of modern civilization. Yet vulnerabilities threaten its integrity, security, and resilience. We are on a mission to secure the world's software.

depthfirst is building intelligence to detect and remediate critical software vulnerabilities. We are training and scaling security AI agents to discover zero-days vulnerabilities across large customer codebases and popular open source software.

Our founding team includes deep expertise in data, infrastructure, security and LLMs with technical leaders from DeepMind, Databricks, Square, and Faire. We are looking for strong technical people who are interested in working at the intersection of AI, Security, and Infrastructure.

About This Role

We’re looking for a Forward-Deployed Engineer to help enterprise customers deploy and operate depthfirst in their environments. You’ll work directly with their security, infrastructure, and cloud teams to understand their architecture, navigate technical requirements, and own delivery from initial discovery through production readiness.

You’ll design deployment architectures, troubleshoot complex systems, and write production code to unblock customers. Each environment brings different infrastructure, security, and operational requirements. You’ll help customers work through those constraints and partner with our engineering team to build the integrations and capabilities they need.

You’ll also turn what you learn in the field into improvements that make depthfirst easier to deploy, operate, and scale across a wide range of enterprise environments.

You’re excited about this role because you will…
  • Own enterprise deployments from architecture and planning through installation, troubleshooting, upgrades, and operational handoff.

  • Work directly with customer security, infrastructure, and cloud teams to understand their environments and establish a clear path to production.

  • Solve deployment challenges across cloud infrastructure, Kubernetes, networking, identity and access management, and application configuration.

  • Write code to unblock deployments, build integrations, and deliver new product capabilities.

  • Build tooling and automation for onboarding, deployment validation, upgrades, and ongoing operations.

  • Turn recurring customer needs into reusable platform improvements, working closely with our infrastructure, product, and security engineers.

  • Communicate technical tradeoffs, dependencies, and progress clearly, keeping customer and internal teams aligned.

  • Travel to customer sites as needed to support successful deployments.

Qualifications
  • Experience building and operating production systems in infrastructure engineering, platform engineering, SRE, or a similar role.

  • Strong hands-on knowledge of cloud infrastructure and Kubernetes, including deploying, debugging, and operating applications in production.

  • A solid understanding of networking and cloud security fundamentals, including private connectivity, DNS, TLS, IAM, and access controls.

  • Ability to investigate problems across infrastructure and application boundaries, identify root causes, and implement fixes.

  • Proficiency in a language such as Go or Python, with experience shipping production code and automation.

  • Experience with infrastructure as code, deployment pipelines, and observability.

  • Strong communication skills and an interest in working directly with customers. You can understand unfamiliar environments, explain technical decisions, and coordinate across teams.

  • Ownership and sound judgment when requirements are ambiguous or a deployment doesn’t fit an existing playbook.

  • Based in or willing to relocate to San Francisco.

Bonus Points For
  • Experience owning technical engagements with large enterprise customers as an FDE, SRE, platform engineer, or solutions engineer.

  • Deep experience with AWS and EKS, Helm, and Terraform or Pulumi.

  • Experience with multiple Cloud providers.

  • Experience deploying enterprise software into environments with strict networking, access, and security requirements.

  • Experience supporting varied customer architectures and integrating software with existing infrastructure and operational tooling.

  • Experience with AI platforms or security products.

What We Offer
  • Competitive salary with meaningful equity.

  • Health, vision, and dental insurance.

  • Office lunch and dinner when working from our San Francisco office.

  • Direct impact on customer success and product direction.

  • The opportunity to work at the cutting edge of AI and security.

---

depthfirst is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.

 

To all recruitment agencies: depthfirst does not accept agency resumes. Please do not forward resumes to depthfirst employees. depthfirst is not responsible for any fees related to unsolicited resumes and will not pay fees to any third-party agency or company that does not have a signed agreement with the Company.

HQ

depthfirst San Francisco, California, USA Office

San Francisco, California, United States

Similar Jobs

9 Hours Ago
Hybrid
5 Locations
99K-232K Annually
Senior level
99K-232K Annually
Senior level
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Leads the development and deployment of data solutions using Palantir Foundry and AIP. Manages engineering teams, coaches team members, oversees project planning and execution, analyzes system interactions, manages client relationships, and drives innovation. The role applies software engineering, data engineering, analytics, and AI/ML techniques to deliver scalable client solutions while maintaining technical and professional standards.
Top Skills: Artificial IntelligenceMachine LearningPalantir AipPalantir FoundryPythonTypescript
9 Hours Ago
Hybrid
5 Locations
63K-140K Annually
Junior
63K-140K Annually
Junior
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Develop and deploy data solutions using Palantir Foundry and AIP for client engagements. Lead technical teams, coach team members, analyze system interactions, build applications with large datasets, and apply data engineering and analytics to deliver client outcomes. The role also includes managing client relationships, planning and executing projects, encouraging technology adoption, resolving stakeholder conflicts, and driving continuous improvement.
Top Skills: Artificial IntelligenceMachine LearningPalantir AipPalantir FoundryPythonTypescript
9 Hours Ago
Hybrid
5 Locations
77K-202K Annually
Senior level
77K-202K Annually
Senior level
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Leads the development and deployment of software and data solutions using Palantir Foundry and AI/ML technologies. Responsibilities include data engineering, analytics, system improvement, client account management, project ownership, team leadership, coaching, stakeholder engagement, and continuous improvement. The role requires building scalable applications with large datasets and delivering customer-focused solutions.
Top Skills: Artificial IntelligenceData AnalyticsData EngineeringMachine LearningPalantir AipPalantir FoundryPythonTypescript

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account