Senior Devops Engineer

Posted Yesterday
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Austin, TX, USA
In-Office
190K-210K Annually
Senior level
Artificial Intelligence • Big Data • Software • Analytics • Business Intelligence • Big Data Analytics
Placer.ai is the leader in location analytics.
The Role
Own and evolve Placer.ai’s GCP infrastructure, including multi-cluster GKE, Terraform, Atlantis, and ArgoCD GitOps. Improve CI/CD reliability, developer tooling, production environments, observability, incident response, and system scalability. Operate Kubernetes and production databases and queues while partnering with engineering teams on infrastructure design and deployment. Establish new tools, standards, and frameworks for reliable, high-velocity software delivery.
Summary Generated by Built In

ABOUT PLACER.AI: 

One of the fastest growing tech companies in North America, Placer.ai (“Placer”) reached $100 million ARR “Centaur” status in 2024, within 6 years of launching the Placer platform. We previously crossed the $1B valuation “Unicorn” threshold in 2022.

Our A.I.-based SaaS platform transforms how leaders make critical decisions by unlocking unparalleled visibility into markets and locations, creating a blue ocean market of more than $100B. And the best part is, we accomplished this by leading a privacy-first business in which data has been stripped of user identifiers and only aggregated information is provided within the platform.

Our platform provides instant visibility into almost any location in the U.S. We have grown exponentially over the past 6 years, counting more than 4,000+ paying customers including many Fortune 500 companies, such as, JP Morgan Chase, Wayfair, Google and many more.

Named one of Forbes America’s Best Startup Employers and a Deloitte Technology Fast company, we are proud of our collaborative, innovative and inclusive culture.

Summary

We're looking for a Senior Devops Engineer to own the infrastructure behind one of the world's largest location analytics platforms - from CI/CD pipelines and cloud environments to developer tooling and observability. This is a hands-on, end-to-end ownership role at the intersection of scale, reliability, and engineering velocity.

Responsibilities
  • Own and evolve Placer's GCP infrastructure end-to-end - multi-cluster GKE, Terraform via Atlantis, ArgoCD GitOps
  • Drive CI/CD pipeline reliability and developer tooling - reduce friction, increase release velocity
  • Manage production and development environments across multiple workloads with high availability requirements
  • Build and maintain observability systems - dashboards, alerting, and incident response that keep the team ahead of failures
  • Identify and resolve performance, scalability, and reliability bottlenecks before they become incidents
  • Collaborate directly with engineering teams to shape infrastructure decisions from design through deployment
  • Introduce new tools, standards, and frameworks - you define the approach, not just execute it
Requirements 
  • 5+ years in a Production Engineering, SRE, or Platform Engineering role at a SaaS product company
  • 3+ years of hands-on Kubernetes in production - not just deployment, but operating and scaling it
  • 2+ years with IaC tools - Terraform, Pulumi, or equivalent at real scale
  • Experience managing production databases and queues - PostgreSQL, Redis, Kafka, or similar
  • Proficiency in at least one general-purpose language - Python, Go, or Ruby
  • Strong monitoring and alerting fundamentals - you build the systems that catch problems before users do

Nice to have:
  • GCP experience - this is our primary cloud
  • CKA certification or deep Kubernetes ecosystem knowledge - CNIs, service meshes, operators, ingresses
  • Experience with RabbitMQ or Kafka at scale
  • Familiarity with GitOps workflows - ArgoCD or equivalent

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
  • Hybrid

The U.S. annualized pay range for this position is $190,000 - $210,000 USD. In addition, certain roles have the opportunity to earn sales-based commissions. Base pay offered within the stated range may vary depending on multiple individualized factors, including job-related skills, professional experience, education and licenses (if applicable), work location and compensation market data.
Base pay is just a part of our total rewards program. Placer provides medical, dental and vision coverage as well as flexible time off, 401K and equity awards for certain roles.
Your recruiter can share more about the specific salary range for your preferred location during the hiring process.


NOTEWORTHY LINKS TO LEARN MORE ABOUT PLACER

  • Placer.ai in a nutshell
  • Placer.ai's recent $100M round C funding (unicorn valuation!)
  • Placer.ai's data
  • Placer.ai in the news
  • COVID-19 Economic Recovery Dashboard

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.

#LI-AC1

#LI-AC1

Skills Required

  • 5+ years in a Production Engineering, SRE, or Platform Engineering role at a SaaS product company
  • 3+ years of hands-on Kubernetes experience in production, including operating and scaling Kubernetes
  • 2+ years of experience with infrastructure-as-code tools such as Terraform, Pulumi, or equivalent at scale
  • Experience managing production databases and queues such as PostgreSQL, Redis, Kafka, or similar
  • Proficiency in at least one general-purpose programming language: Python, Go, or Ruby
  • Strong monitoring and alerting fundamentals
  • GCP experience
  • CKA certification or deep Kubernetes ecosystem knowledge, including CNIs, service meshes, operators, and ingresses
  • Experience with RabbitMQ or Kafka at scale
  • Familiarity with GitOps workflows such as ArgoCD or equivalent
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The Company
HQ: Los Altos, CA
800 Employees
Year Founded: 2017

What We Do

Placer.ai is the most advanced foot traffic analytics platform allowing anyone with a stake in the physical world to instantly generate insights into any property for a deeper understanding of the factors that drive success. Placer.ai is the first platform that fully empowers professionals in retail, commercial real estate, hospitality, finance, economic development, and more to truly understand and maximize their offline activities.

Why Work With Us

Placer is a remote first with a highly collaborative culture. Our product solves many use cases, from mitigating food deserts to battling blood shortages during rapid response crises, Placer data plays a critical role in supporting local communities and driving social progress in addition to providing invaluable market intelligence to our clients.

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