Mid-Level DevOps Engineer

Jobgether
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate

Job location

Remote

Tech stack

Amazon Web Services (AWS)
Bash
Cloud Computing
Continuous Integration
DevOps
Distributed Systems
Python
PostgreSQL
Ansible
Prometheus
Data Logging
Scripting (Bash/Python/Go/Ruby)
Delivery Pipeline
Containerization
Kubernetes
Infrastructure Automation Frameworks
Deployment Automation
Data Analytics
Kafka
Terraform
Docker

Job description

This role sits at the core of a fast-paced, cloud-native engineering environment where scalability, automation, and reliability are essential to daily operations. You will be responsible for maintaining and evolving large-scale Kubernetes-based infrastructure across AWS and GCP, supporting high-traffic, data-driven platforms. The position offers strong exposure to modern DevOps practices, including CI/CD automation, Infrastructure as Code, and observability at scale. You will collaborate closely with development teams to improve deployment workflows and ensure seamless production performance. The environment is highly collaborative, engineering-led, and focused on continuous improvement and operational excellence. This is an opportunity to work on complex distributed systems while driving meaningful impact across global digital products. Accountabilities

  • Design, deploy, and maintain scalable Kubernetes infrastructure using GKE and EKS in production environments.
  • Develop and manage Infrastructure as Code using Terraform, Helm, and Ansible to ensure consistency and automation.
  • Build, optimize, and maintain CI/CD pipelines to enable fast, secure, and reliable deployments.
  • Implement robust monitoring, logging, and alerting systems using modern observability tools.
  • Support and troubleshoot PostgreSQL and Kafka environments to ensure stability and performance.
  • Automate operational tasks and workflows using Python and Bash scripting.
  • Diagnose and resolve production issues across cloud and containerized environments.
  • Collaborate with software engineers to improve deployment strategies and operational efficiency.
  • Participate in on-call rotations and provide reliable production support when needed.

Requirements

  • 3-6 years of experience in DevOps, SRE, or cloud infrastructure engineering roles.
  • Strong hands-on experience managing Kubernetes in production environments.
  • Solid expertise with AWS and/or GCP cloud platforms.
  • Strong knowledge of Docker and containerization technologies.
  • Proven experience with Terraform, Helm, and Ansible for infrastructure automation.
  • Experience designing and maintaining CI/CD pipelines and deployment workflows.
  • Strong scripting skills in Bash and Python for automation and tooling.
  • Experience with monitoring and logging tools such as Prometheus and ELK/OpenSearch.
  • Good understanding of PostgreSQL and Kafka operations in production contexts.
  • Strong problem-solving, communication, and troubleshooting abilities.
  • Ability to work independently in a fast-moving, distributed engineering environment.

Benefits & conditions

  • Competitive salary with performance-based bonus structure.
  • Fully remote work setup across Europe/UK regions.
  • Opportunity to work with modern cloud-native and containerized technologies.
  • Strong engineering culture focused on collaboration and innovation.
  • Continuous learning and professional development opportunities.
  • Flexible and supportive work environment.
  • Exposure to large-scale, high-availability systems and global platforms.

Apply for this position