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 with:
AWS cloud services
Kubernetes and containerization
Infrastructure as Code (Terraform/CloudFormation)
Configuration management (Ansible, Chef, Puppet)
CI/CD pipelines and build automation
Monitoring and observability platforms
Experience working with hybrid environments (cloud + on-prem infrastructure)
Strong troubleshooting and incident resolution skills
Ability to work independently and implement infrastructure design solutions
Preferred Qualifications
Experience with analytical database systems or distributed data platforms
Knowledge of zero-trust security architectures
Experience working in high-performance data or cloud infrastructure environments
A Day in the Life of a Lead DevOps Engineer at Exasol
You start your day reviewing overnight alerts from monitoring dashboards and checking infrastructure health. After optimizing a Kubernetes deployment pipeline, you collaborate with developers to improve CI/CD workflows. Later, you troubleshoot a production incident and automate a fix using Python and Terraform, ensuring the system runs smoothly and reliably.
What’s in it for You
Competitive compensation and benefits
Flexible and remote-first working environment
Monthly home office allowance and flexible working hours
Opportunities to work on cutting-edge cloud infrastructure
Continuous learning through internal knowledge sharing and technical sessions
A collaborative global team where your contributions truly matter
Ready to Build the Future of Data Infrastructure?
If you’re passionate about automation, cloud platforms, and scalable infrastructure, and you want to work on technology that powers some of the world’s fastest analytics platforms, we’d love to hear from you.
Apply now and be part of Exasol.
About Exasol:
Take the next step in your career journey. Visit www.exasol.com to explore our current job openings, and follow us on LinkedIn to see what it is like to work at Exasol.
Exasol is a proud equal opportunities employer. We are committed to a diverse and inclusive working environment and therefore base all our employment selection decisions, within all aspects of our business, on experience, skill, and integrity. We strongly encourage applicants from all walks to life to apply for our positions, irrespective of age, sex, gender identity, disability, sexual orientation, race, religion, etc.
