Platform Engineer - AI Tools

Placer.ai · placer.ai

Austin, Texas 8 days ago
Workplace
On-site
Location
Austin, Texas
Who can apply
Based in the United States: you usually need the right to work there

Check your CV against this job

Free · No signup · A 0–100 ATS match score and the keywords you're missing.

Check my CV free

$14.99/month in most countries, cancel anytime. Already have an account? Log in

About the role

ABOUT PLACER.AI:

Placer.ai is transforming how organizations understand the physical world. Our location analytics platform provides unprecedented visibility into locations, markets, and consumer behavior. Placer empowers thousands of customers—from Fortune 500 companies, to local governments and nonprofits— to make smarter, data-driven decisions.

What sets us apart? We've built the most advanced location intelligence platform in the market while maintaining an uncompromising commitment to privacy, proving that powerful analytics and responsible data practices can coexist.

Our growth reflects the market's demand: we reached $100M in annual recurring revenue within just 6 years of launching, achieved unicorn status with a $1B+ valuation in 2022, and continue to expand rapidly as one of North America's fastest-growing tech companies. We're creating a $100B+ market opportunity, and we're just getting started.

Named one of Forbes America's Best Startup Employers and a Deloitte Technology Fast 500 company, we're building a culture where innovation thrives, collaboration is the norm, and every team member contributes to reshaping how the world understands location.

SUMMARY:

We’re hiring a Platform Engineer  to own the infrastructure behind Placer’s internal AI tools, used daily by teams across the company. You’ll take AI tools from prototype to production and shape how AI scales across the business. This role sits on the COO’s team, with real ownership and a short path from idea to impact.

RESPONSIBILITIES:

* Own the infrastructure behind Placer’s internal AI tools, from architecture to production. * Take AI tools from prototype to production: secure, reliable, and easy to use. * Build and maintain integrations between AI tools and company systems (e.g., Salesforce, Google Workspace, Slack, data warehouse). * Run CI/CD, environments, and infrastructure as code for internal AI applications. * Set up access controls, data permissions, and audit logging so teams can move fast safely. * Monitor uptime, adoption, and cost, and use the data to decide what to scale, fix, or retire. * Work directly with teams across the company to turn their needs into working tools. * Evaluate new AI tools and models, and recommend what’s worth adopting.

REQUIREMENTS:

* 7 + years in production, platform, SRE, or DevOps engineering. * Production experience with Kubernetes and public cloud (GCP or AWS). * Hands-on with infrastructure as code (Terraform, Pulumi, or similar). * Strong Python or Go experience. * Hands-on experience integrating LLM APIs or AI services into real workflows. * Solid understanding of identity, access control, and secrets management (SSO/OAuth). * Comfortable working with non-technical internal customers.

NICE-TO-HAVE

* Experience with MCP, agent frameworks, or LLM gateways/observability tools (e.g., LiteLLM, Langfuse, Helicone). * Integrations with business systems such as Salesforce, Google Workspace, Slack, Gong, or Databricks. * Experience supporting non-engineering internal customers, or in a business-systems / internal-tools team.

WHY JOIN PLACER.AI?

* Join a rocketship! We are pioneers of a new market that we are creating * Take a central and critical role at Placer.ai * Work with, and learn from, top-notch talent * Competitive salary * Excellent benefits * Fully remote

NOTEWORTHY LINKS TO LEARN MORE ABOUT PLACER

* Placer.ai's $100M round C funding (unicorn valuation!) * See our data in action at The Anchor * Placer.ai in the news * Video: About Placer for Commercial Real Estate * Video Playlist: Placer Brand & Explainer Videos

Placer.ai is committed to maintaining a drug-free workplace and promoting a safe, healthy working environment for all employees.

Placer.ai is an equal opportunity employer and has a global remote workforce. Placer.ai’s applicants are considered solely based on their qualifications, without regard to an applicant’s disability or need for accommodation. Any Placer.ai applicant who requires reasonable accommodations during the application process should contact Placer.ai’s Human Resources Department to make the need for an accommodation known.

About Cloud Engineer jobs in the United States

Open jobs
682 open Cloud Engineer jobs in the United States, 106 of them posted in the last 7 days. See all Cloud Engineer jobs in the United States
Typical advertised pay
$146,000 – $213,000 a year for the middle half of the 355 job ads from 215 employers that state a salary in US dollars (median $175,000). This is base pay as advertised, not total compensation. Cloud Engineer salary in the United States
Skills the job ads ask for most
  • CI/CD 63%
  • Infrastructure as Code 57%
  • AWS 55%
  • Terraform 54%
  • Kubernetes 52%
  • Python 50%

Share of the 507 newest postings for the role that name each skill. Resume keywords for Cloud Engineer jobs

Tools and guides for your application

Get matched & apply with FindAJobAI

Upload your resume once. We score every job against your profile, tailor your resume and cover letter, and autofill the application.