Job Opportunities API

Exasol accelerates insights from the world’s data. Our in-memory technology and massively parallel processing (MPP) architecture are specifically designed for analytics, enabling businesses to turn complex data into actionable insights faster than ever before. At Exasol, we are committed to pushing the boundaries of what is possible in data analytics, and we are looking for passionate individuals to join our team and help shape the future of data technology. Join our diverse, remote-first team where more than 30+ languages (and counting!) are spoken and every voice is valued. We believe in collaboration, innovation, and a shared commitment to building world-class data technology. 🚀 Why Exasol? Why Now? At Exasol, we believe that speed is the key to turning data into impact . Our in-memory, massively parallel processing (MPP) database is one of the fastest in the world, built specifically for analytics at scale. We help organizations across industries—including financial services, retail, and the public sector—unlock insights from their data in seconds. As we continue to scale globally, we are strengthening our engineering capabilities and investing in world-class infrastructure and DevOps practices. This is your opportunity to work on cutting-edge cloud and infrastructure technologies while shaping the operational backbone of a high-performance analytics platform. 💼 Overview The Lead DevOps Engineer will be responsible for designing, implementing, and maintaining scalable infrastructure across AWS and on-prem environments . This role focuses on automation, platform reliability, CI/CD pipelines, and observability. You will work closely with engineering, QA, and IT teams to improve infrastructure performance, optimize deployment workflows, and support high-availability systems. 🎯 Responsibilities Infrastructure & Platform Engineering Design and manage AWS cloud infrastructure using services such as EC2, VPC, IAM, S3, RDS, CloudWatch, EKS/ECS, Lambda, Route53, and ALB/NLB Troubleshoot and support on-prem infrastructure including Proxmox, networking, storage systems, and bare-metal provisioning Implement and maintain Infrastructure as Code (IaC) using Terraform and CloudFormation Configuration Management & Automation Implement configuration management using Ansible (preferred), Chef, or Puppet Develop automation scripts and tooling using Python, Bash, and other scripting languages Build reusable automation frameworks, playbooks, and internal tooling CI/CD & Build Engineering Design and optimize CI/CD pipelines using GitHub Actions, Jenkins, GitHub Workflows, and ArgoCD Improve build systems, artifact packaging, and deployment workflows Containerization & Orchestration Manage containerized environments using Docker, Podman, Kubernetes, Helm, and Kustomize Support scalable microservices infrastructure and container deployments Observability, Monitoring & Incident Management Implement monitoring, logging, and alerting solutions using Prometheus, Grafana, ELK/OpenSearch, Loki, CloudWatch, Datadog, New Relic, or Splunk Provide operational support and lead incident troubleshooting and resolution Security & DevSecOps Implement DevSecOps best practices including IAM hardening, secret management, dependency scanning, and container security Work with tools such as HashiCorp Vault, AWS KMS, Trivy , or similar Collaboration Work cross-functionally with engineering, QA, and IT teams Improve developer experience by modernizing infrastructure and automation tooling ✅ Required Qualifications 8+ years of experience as a DevOps Engineer, preferably in product engineering environments Strong expertise in Linux administration (Rocky Linux, CentOS, or Ubuntu) Proficiency in Python, Bash, and automation scripting Hands-on experience wit