Exacaster
Site Reliability / DevOps Engineer
ExacasterLithuania18 days ago
Full-timeRemote FriendlyEngineering, Information Technology
We impact the lives of over 40 million consumers on a daily basis by working with clients in the Baltics, USA, Central and South America and the Caribbean. Overall, we operate one of the largest big-data environments in the Baltics, and we certainly have one of the most diverse sets of data and pursue some of the most challenging analytical projects.

Exacaster’s team is looking for a Site Reliability / DevOps Engineer – Big Data Platforms to work with Big-data solutions for our clients in Telco and Retail industries.

About the role:

We are seeking a Site Reliability / DevOps Engineer to develop our Big Data platforms across cloud and on-premises environments. This role focuses on ensuring stability, scalability, and performance of the infrastructure supporting large-scale data processing systems. The ideal candidate will be experienced in building, maintaining, and optimizing infrastructure, both in the cloud and on-prem, while utilizing modern DevOps tools and practices.

Your daily tasks will include:

  • Infrastructure Management: Design, deploy, and maintain infrastructure for Big Data platforms, including Cloudera on-prem solutions and cloud-based environments on AWS or Azure.
  • Monitoring and Alerting: Implement, manage, and optimize monitoring solutions using Zabbix and Prometheus to ensure the performance, availability, and reliability of data platforms.
  • Platform Support: Troubleshoot and resolve platform-related issues, focusing on system performance, reliability, and scalability of large data sets.
  • Automation: Use Terraform and Ansible for infrastructure automation, configuration management, and to ensure repeatable, scalable deployments.
  • CI/CD Pipeline Management: Implement and maintain CI/CD pipelines for seamless deployments and continuous integration (including static code analysis) for both infrastructure and applications.
  • Kubernetes Management: Deploy and manage Kubernetes clusters for orchestrating Big Data workloads and ensuring efficient resource utilization.
  • Network Optimization: Collaborate with network teams to ensure seamless communication between data services, optimize data traffic, and enhance security practices.
  • Performance Optimization: Proactively identify and resolve performance bottlenecks within Big Data platforms, including resource management, cluster tuning, and workload optimization.


We are looking for a person who has:

  • 2+ years of hands-on experience in DevOps or SRE roles.
  • Proficiency in monitoring systems using Zabbix or Prometheus for tracking and alerting system metrics.
  • Knowledge of Linux (RHEL) systems, including scripting, system administration, and troubleshooting.
  • Hands-on experience with cloud environments, particularly AWS or Azure, including the deployment of cloud-native services and infrastructure.
  • Expertise in deploying, managing, and scaling applications using Kubernetes.
  • Experience with Terraform and Ansible for infrastructure automation and configuration management.
  • Experience with CI/CD pipelines and tools such as Argo CD, Flux CD, or similar.
  • Understanding of networking concepts, including security, VPNs, and performance tuning in hybrid environments.
  • Analytical skills with experience in identifying and solving complex platform issues, particularly performance bottlenecks.
  • Knowledge of best practices and tools for optimizing system and application performance in large-scale distributed environments.


Bonus points if you have:

  • Experience managing and maintaining Cloudera or similar on-prem big data platforms.
  • Experience with Hadoop, Spark, or similar data processing frameworks.
  • Certifications in cloud platforms (AWS, Azure) or Kubernetes.
  • Experience in security best practices and tools for both cloud and on-prem environments.


We promise:

  • Monthly salary for this position from 3300 Eur gross to 5000 Eur gross for a full time role.
  • Participation in the company’s stock options program.
  • Flexible Benefits & Personal learning budget from day 1.
  • 10 Growth Days per year - dedicated time for learning and development.
  • Ownership and dynamics in your role.
  • Hybrid work environment with preferably at least 1 day per week in the office.
  • All the support you need from our experienced team to become an even better professional.
  • And the most important thing – you will be part of a great international team!

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