Sr. Data Ops Engineer

Podium exists to help local businesses win. Using Podium’s technology, local businesses are able to simplify the way they build their business and modernize the way they communicate with their customers – from collecting payments, facilitating online reviews, launching marketing campaigns, and much more.  

Our work and focus on local business and helping them to build thriving businesses has been recognized across the industry, including Forbes’ Next Billion Dollar Startups, Forbes’ Cloud 100, the Inc. 5000 (#13), and Fast Company’s World’s Most Innovative Companies. For more about our product, watch this video. Podium has a positive, inclusive, and supportive culture and was recently named one of Inc. Magazine’s Best Workplaces for 2021 (4 years in a row). We look for people who are curious, creative and are willing to do the work to be a little better every day. We also embody our company values in all that we do, which always starts with being Customer Obsessed, followed by Be a Founder, Zero Drama, and Enjoy the Ride. 

A Data Operations Engineer ensures large volumes of data can be searched quickly and secure data is flowing between Podium’s systems. This person would be responsible for functions and tasks that pertain to automation, development, data queue technologies, support, analysis, and performance tuning. This is an amazing opportunity for someone who wants to stretch and pivot into more coding, database technologies, data queue technologies. And also a great fit for someone who aspires to use their ElasticSearch skills within an environment that encourages coding/automation to avoid repetitive work.

What you will be doing:

• On a team that supports ElasticSearch, Kafka, Kafka Connect, RabbitMQ and Redis Datastores.
• Administer capacity planning and performance tuning
• Implement upgrades and new capabilities
• Ensure the datastore clusters are healthy and functional
• Provide technical oversight of the Elasticsearch implementations
• Provide support of ELKs self-service, indexing, searching, visualization capabilities
• Ensure appropriate monitoring & alerting of Elasticsearch

What you should have:

• 5-6+ years experience with implementation and optimization of Kafka
• Experience with cloud development, preferably AWS
• Experience with evaluating existing Elastic clusters, configuration parameters, indexing, search and query performance tuning, security and administration
• Highly analytical, detail-oriented, and strong problem solving with a common-sense approach to resolving problems

What we hope you have:

• Experience with relational and NoSQL databases, including PostgreSQL, redis, Couchbase, or Cassandra
• Experience with continuous integration tools (Jenkins, Gitlab CI)
• Experience with infrastructure automation tools (Ansible, Terraform)
• Experience with Kafka environment builds, including design, capacity planning, cluster setup, performance tuning and ongoing monitoring
• Experience with KSQL
• Experience with troubleshooting Kafka Streams and Kafka Connect applications
• Experience with Elixir
• Willing to consider alternative mix of similar experience with distributed data stores or queuing technologies at scale, ie. Kafka, Cassandra, others. If you have spent time immersed in sharded, distributed solutions but don't have much Elastic, please apply.

BENEFITS

• Transparent culture - one of our 3 values is “murder drama,” and we believe it.
• Unlimited Vacation (yes, we want you to have a work-life balance).
• Remote-first work for Engineering & Product.
• Yearly home office upgrade stipend.
• 1+ gatherings a year bringing all of engineering together.
• 401k with a competitive matching contribution plan.
• Great medical, dental, vision benefits.
• Life insurance, long and short-term disability coverage.
• Paid maternity and paternity leave.
• Swag.  Lots of swag.

Podium is an equal opportunity employer. Podium provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, national origin, sexual orientation, gender identity or expression, age, disability, genetic information, marital status or veteran status.