DevOps Engineer with

Remote (US)

$100K - 140K a year

At, engineers develop the next-generation products powering a scalable ad tech platform which enables advertisers across the globe to effectively reach out to consumers using engaging ad formats across media platforms. We are looking for engineers who are driven to solve challenges of large-scale system design, artificial intelligence, information retrieval, massive data pipelines, frontend engineering, data insights, visualization, optimization and targeting strategies. As a DevOps Engineer, you will be required to support production and development environments, from creating new and improving existing tools and processes to automating deployment and monitoring procedures, leading continuous integration effort, administering issue tracking and source control systems, deploying and maintaining user facing and internal applications.



• At least 4 years of DevOps, SRE, or Technical Operations experience. • Proficient in Python and UNIX shell scripting. • Solid understanding of containerization. Experience with container orchestration. • Experience in provisioning, managing, monitoring environments and workloads in public cloud (AWS, GCP). • Linux system administration skills. • Database (PostgreSQL, MariaDB, MySQL) administration skills. • Solid knowledge of source control systems (git, svn). • Good understanding of and experience in Continuous Integration. • Ability to perform in a fast-paced, dynamic environment and be productive during production outages if any.

Nice to have:

• Experience with monitoring and APM platforms: DataDog, Grafana, Dynatrace, ELK/EFK, etc. • Experience with setting up and managing Redis clusters. • Experience with Kafka/Zookeeper. • Experience with terraform or CloudFormation. • Experience with helm charts, k8s operators. • Experience in setting up and maintenance of Atlassian software (Confluence Wiki, Jira, Bitbucket).


• Automation of resource provisioning in private and public clouds. • Maintain and roll out monitoring tools and strategies for applications and infrastructure. • On-call support of production systems. • Design and development of automation tools for build, deployment, monitoring, and testing. • Maintenance of source control, issue tracking, deployment systems. • Administration and monitoring of Database (RDBMS and NoSQL) systems. • Planning, setup, and support of CI/CD pipeline.