---
title: 'Senior Platform Engineer, Security at Doxel'
canonical: 'https://feeny.ai/job/senior-platform-engineer-security-doxel-san-francisco-bay-area-w0mehxcytah8'
type: 'job'
last_seen: '2026-09-07'
---

# Senior Platform Engineer, Security at Doxel

- **Company:** Doxel
- **Location:** San Francisco Bay Area, CA
- **Compensation:** $175k–$220k
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-06-27
- **Last confirmed live:** 2026-09-07
- **Apply:** https://jobs.lever.co/doxel/9f0abbc9-3579-4bf4-9657-988bfc859539

## Job description

Construction is the 2nd largest industry in the world (4x the size of SaaS!). But unlike software (with observability platforms such as AppDynamics and Datadog), construction teams lack automated feedback loops to help projects stay on schedule and on budget.  Without this observability, construction wastes a whopping $3T per year because glitches aren’t detected fast enough to recover.

Doxel AI exists to bring computer vision to construction, so the industry can deliver what society needs to thrive. From hospitals to data centers, from foreman to VPs of construction, teams use Doxel to make better decisions everyday. In fact, Doxel has contributed to the construction of the facilities that provide many of the products and services you use everyday.

We have classic computer vision, deep learning ML object detection, a low-latency 3D three.js web app, a complex data pipeline powering it all in the background. We’re building out new workflows, analytics dashboards, and forecasting engines.

We’re at an exciting stage of scale as we build upon our growing market momentum. Our software is trusted by Shell Oil, Genentech, HCA healthcare, Kaiser, Turner, Layton and several others. Join us in bringing AI to construction!

## The Role

As a Senior Platform Engineer, with an emphasis on Security, your main mission is to build out Doxel's internal platform and define the golden paths that engineers rely on, replacing today's hand-rolled infra. Own cloud security posture on GCP, bake security into CI/CD and the supply chain, and help shape how Doxel uses AI safely.

## What You'll Do

- Work with DevOps team to build out golden paths that streamline developer and builder workflows streamlining and applying shift left security policies on CI/CD deployment, internal tooling, LLM, and data science workflows
- Own cloud security posture on Google Cloud, landing-zone guardrails, least-privilege IAM, secrets and key management, codified as infrastructure-as-code so secure defaults are baked into golden paths rather than bolted on after
- Continuously evaluate attack surfaces across the application, infrastructure, and cloud, prioritize findings by exploitability and blast radius, and feed the highest-leverage fixes back into the platform
- Set and enforce AI-usage best practices, guardrails for agentic coding tools internally and Provide a security point of view on product AI/LLM features (prompt injection, data egress, model supply chain), in partnership with engineering leadership
- Action on improving security and compliance through a risk based approach implementing SOC2, ISO27001, and ISO27701 security and compliance frameworks. Drive adoption and raise the security bar across engineering through better defaults, not mandates.

## What You Bring

- 6+ years in platform engineering, infrastructure/DevOps, or site reliability, with real depth building infrastructure, not just operating it
- Strong infrastructure-as-code skills (Terraform) and a track record of replacing ad hoc infra with reusable, self-service patterns
- Hands-on cloud depth, ideally Google Cloud (AWS or Azure translates), including IAM, networking, and least-privilege design
- Strong experience with Kubernetes and containerized workloads in production. Practical experience embedding security tooling into CI/CD (SAST, SCA, secret scanning, supply chain controls) and building secure-by-default pipelines
- Strong programming or scripting ability (Python, Go, or similar) for building platform and automation tooling
- A security mindset: you design for least privilege and think about how things get abused, even when security is not the headline of the task
- Demonstrated ability to drive platform adoption and influence engineering teams without formal management authority.

## Preferred

- Experience standing up an internal developer platform or paved-road program from scratch
- Working knowledge of AI/LLM security risks and a point of view on using AI tools safely
- SOC 2, ISO 27001, or similar compliance experience in a fast-moving company.
- Experience securing data warehouses or large data pipelines (Snowflake a plus)
- Familiarity with construction tech, BIM/3D data, or other domain-rich data products

Doxel provides comprehensive health/dental/vision benefits for employees and their families including an Unlimited PTO policy, a 401(k) program, and a flexible work environment among other benefits. Doxel is an equal opportunity employer and actively seeks diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

## About Doxel

## Company Overview
- **One-liner**: Computer vision powered observability for construction, providing automated progress tracking to keep projects on schedule and budget.
- **Entity Type**: Private (Series B, $56.5M total funding)
- **Headquarters**: Menlo Park, California, United States
- **Founded**: 2015 (per company site; LinkedIn reports 2016)
- **Founders**: Saurabh Ladha (CEO)

## Core Business
- **Primary industry**: Construction technology (AI-powered project controls)
- **Target customers**: B2B – general contractors, data center developers, healthcare, and industrial construction firms (18 of top 30 GCs, 14 of top 20 data center developers, 3 of 4 hyperscalers)
- **Mission**: “Help project teams stay on track in the face of constant change” by delivering objective, actionable data that keeps construction projects on schedule and budget.

## Products & Services
- **Doxel Platform**: An automated construction progress tracking SaaS solution that uses computer vision to contextualize site, BIM, schedule, and budget data. Provides real-time observability, machine-generated risk analysis, and predictions to prevent delays, over-billing, rework, and trade stacking.

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed
- **Key Metric**: Total funding of **$56.5M** across four rounds (Seed, Series A, Series B, Pre-Seed)
- **Notable Investors/Partners**: Insight Partners (Series B lead), Andreessen Horowitz (Seed lead), Amplo (Series A lead), Pear VC (Pre-Seed)
- **Growth Signals**:
  - 3+ billion square feet of construction tracked
  - 100+ data center projects, 80+ healthcare projects
  - 2 of top 3 largest U.S. EV battery factories
  - Customers deliver projects 11% ahead of schedule with up to 16% savings on monthly cash flow
  - 95 employees (LinkedIn estimate), active hiring with 15 open positions

## Competitive Advantages
- **Unique differentiator**: Only complete automated progress tracking solution that fuses site data with BIM, schedule, and budget to provide an objective, single source of truth.
- **Hard-to-replicate moat**: Proprietary computer vision models trained on billions of square feet of construction data; deep integrations with top contractors and hyperscalers.
- **Backing by top-tier VCs** (Insight Partners, a16z) provides credibility and resources.

## Strategic Focus
- Expanding into high-growth verticals: data centers, healthcare, manufacturing (EV battery factories)
- Scaling AI-driven risk analysis and predictive capabilities
- Building out engineering and product teams, especially in AI, platform security, and construction AI workflows

## Why Work Here
- **Culture**: Values “motivated, curious, and creative people” who want to transform the construction industry. Emphasis on strategy, passion, and exceeding expectations.
- **Work model**: Hybrid and remote options available. HQ in Menlo Park, CA; roles also in Bengaluru (hybrid) and remote across the US (East Coast, Atlanta, etc.).
- **Perks**: Not extensively detailed, but Built In lists “Perks +” and the company offers a collaborative, mission-driven environment at the intersection of AI and construction.
- **Engineering culture**: Strong technical leadership (VP of Engineering from Amazon/Credit Karma, Chief Architect from high-scale systems) and a data-first approach.

## Sources
1. [doxel.ai/company](https://doxel.ai/company)
2. [doxel.ai/careers](https://doxel.ai/careers)
3. [jobs.lever.co/doxel](https://jobs.lever.co/doxel)
4. [linkedin.com/company/doxel-sr-autonomous-inc.-](https://linkedin.com/company/doxel-sr-autonomous-inc.-)
5. [builtin.com/company/doxel](https://builtin.com/company/doxel)

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