Senior DevOps Engineer

ABOUT PLACER.AI: 

Placer.ai is a fast-growing big data startup led by seasoned executives and repeat entrepreneurs who are building the world's first "Google Analytics for the physical world." Placer.ai’s platform provides instant visibility into any property in the U.S., presenting accurate details about visitation patterns and demographic breakdowns of visitors. Placer.ai’s customers can see where visitors have been before, where they go afterwards, where they typically go for sports, entertainment, groceries, etc., and what their interests are. Placer.ai's A.I.-based SaaS platform replaces archaic solutions such as manual surveys, installed cameras and other people-counting systems, creating a blue ocean market of more than $100B. 

Placer.ai has grown 3x year-over-year for the past 3 years, counting more than 1,900 paying customers across a range of industries, including 2 of the world’s top-10 retailers, 2 of the top-10 CPG firms worldwide, a world’s top hospitality firm, 2 of the world’s top-10 commercial real estate (CRE) firms and 2 of the world’s top multinational asset managers and hedge funds. Placer.ai has just raised $100M for Unicorn ($1B+) valuation in Series C funding.

Summary

We are looking for a Senior DevOps 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

Requirements 

• 5+ years of experience in a similar position
• Experience working with public cloud
• 2+ 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

Nice to have:

• 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

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

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 an equal opportunity employer, and we are committed to building a team culture that celebrates diversity and inclusion.

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.

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