Mid-Senior DevOps Engineer
3 months ago
We are a market-leading web intelligence collection platform, providing premium proxies and data scraping solutions for large-scale public web data gathering. Today, we unite over 450 data industry professionals for one purpose: to create a future where all businesses have access to big data and business intelligence, and a work environment where everyone can grow and thrive.
A word from the team:
Oxylabs Data team is looking for you We're building a petabyte scale data platform and we could use your help. We're looking for a DevOps Engineer to level up the DevOps layer of our platform. You will be responsible for deploying, configuring and monitoring our data systems and services, ensuring scalability and reliability of the data platform.
We are a small cross-functional team where you will have lots of ownership and independence. This is a great opportunity to broaden your horizons into the world of data, grow your skills as and engineer and make a big difference for Oxylabs.
Your day-to-day:
Deploy, maintain, and monitor data platform infrastructure using Kubernetes, Helm, and related technologies.Tackle the challenges of high availability, reliability, and scalability of the data platform.Implement automated deployment and testing processes.Manage and troubleshoot data platform incidents and escalations.Implement and maintain CI/CD pipelines for our data platform infrastructure.Your skills & experience: Strong experience with Kubernetes and Helm and cloud-native technologies.Understand of networking, security and data storage concepts.Experience with GitOPS methodology and tools like FluxCD and ArgoCD.Willingness to learn about big data processing systems (like Spark and Trino).Nice to have:Experience in deploying or maintaining big data systems (Spark, Trino, Clickhouse or others).Experience in deploying or maintaining data intensive applications (like Apache Kafka).
Tech stack:
KubernetesHelm chartsGitOPS: ArgoCDCI/CD: GitlabPrometheus, Grafana, Loki.SQL Servers (PostgreSQL/MySql).Apache Kafka.Apache Superset, Pinterest Querybook, Jupyter Notebook.Ceph.On-prem environment.Salary:Gross salary: EUR/month. Keep in mind that we are open to discussing a different salary based on your skills and experience.Up for the challenge? Let's talk-
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