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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
Configuration Management & Automation
CI/CD & Build Engineering
Containerization & Orchestration
Observability, Monitoring & Incident Management
Security & DevSecOps
Collaboration
Required Qualifications
Preferred Qualifications
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
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.
Job ID: 148315509
Skills:
Unix, Openshift, Java, Grafana, J2EE, Nginx, Linux, Terraform, Elk Stack, Splunk, Spring Boot, Apigee, Microservices, Github, Tomcat, Itrs, Ansible, Spring Cloud, Appdynamics, Prometheus, Kubernetes, Python, Bash, Docker, Apache Kafka, Jaeger, Harness, Tekton
Skills:
DevSecOps, PowerShell, AWS, Bash, Terraform, Docker, iOS Fastlane, GitHub Actions, Snyk, Windows IIS, Linux Apache, Android Gradle, OWASP tools, Trivy
Skills:
Openshift, Itrs, Geneos, Grafana, Prometheus, Kubernetes, Python, Bash, Helm, Mimir, Loki, Tempo, PromQL
Skills:
Linux, Xml, Json, Windows, AWS, ElasticSearch ELK stack, SOAP APIs, IaC
Skills:
Cloudformation, Puppet, Ansible, Linux, AWS, Bash, Kubernetes, Python, Docker, Terraform, Jenkins, Npm, Chef
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