Devops Engineer

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 are looking for a Production Engineer to help us build and scale Placer’s Infrastructure. This person will take an active role in shaping and implementing Placer’s architecture, as well as introduce new technologies, standards and help increase our release pipeline by building the right tools and frameworks for our developers.

This person will take the existing architecture and pave the way in pursuing and materializing our vision. Passion is a MUST and passion for data even more so!

If you are someone who thrives outside their comfort zone, your place is at Placer.ai.

Responsibilities

• Plan and implement tools to help our company succeed
• Taking care of our CI/CD tools
• Manage our production and multiple development environments
• Collaborate with development teams to improve our system infrastructure and stability
• Develop effective tooling, dashboards, alerts, and response to identify and address reliability risks
• Measure, analyze and improve efficiency, scalability, and stability of various system resources
• Carry tasks end-to-end, from design to deployment, and take full ownership
  
  

• 5+ years of experience in a similar position
• Experience working with public cloud
• 3+ years of production experience with Kubernetes including using open source solutions from the eco-system
• 2+ years of experience with "Infrastructure as a code" tools such as Terraform, Pulumi or similar
• 2+ years of experience managing Databases and Queues such as PostgreSQL, MySQL, ElasticSearch, Redis, MongoDB, Kafka, RabbitMQ or similar
• Skills with at least one of general purpose languages such as Golang, Python, Ruby or Java
• Strong skills with a variety of monitoring and alerting tools
• Sense of humor, all around team player, fast self-learning individual, problem solver
  
  

• CKA certification or similar
• Strong Kubernetes skills, experience with modern CNIs, volume plugins, security, operators, service meshes, ingresses and K8s ecosystem
• Extensive knowledge of RabbitMQ
• Experience working with GCP
  
  

• 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
  
  

• 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