Exasol

Senior DevOps Engineer - Chennai, India

Exasol  •  Chennai, IN (Hybrid)  •  2 hours ago
Apply
AI can make mistakes so check important info. Chat history is never stored.

Job Description

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 technologieswhile shaping the operational backbone of a high-performance analytics platform.

💼

The Lead DevOps Engineerwill 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 teamsto 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 infrastructureincluding 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 pipelinesusing 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 experienceas 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.comto explore our current job openings, and follow us on LinkedInto 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.

Exasol

About Exasol

Exasol is the world’s most powerful Analytics Engine, purpose-built to handle the most demanding data workloads at an unmatched price/performance ratio.

Trusted by global enterprises across diverse industries, Exasol delivers exceptional reliability and performance. With in-memory computing, massively parallel processing (MPP), self-tuning capability, and continuous scalability, Exasol simplifies complex analytics, enabling organizations to extract maximum value from their data while maintaining high performance and keeping operational costs under control.

Whether used as a standalone data warehouse, analytics accelerator, or AI/ML model enabler, Exasol ensures reliable, high-performance analytics across on-premises and hybrid environments.

Industry
IT & Software
Company Size
201-500 employees
Headquarters
Nürnberg, DE
Year Founded
2000
Social Media