Summary
Join a global technology team as a Senior DevOps Engineer and architect highly available, secure cloud infrastructure across major cloud providers. You will lead CI/CD improvements, manage production Kubernetes clusters, implement infrastructure as code, automate operations, and strengthen system observability and incident response.
Highlights
Senior DevOps role with a €65K–€73K annual salary range and broad ownership of secure, highly available cloud infrastructure. The position provides hands-on work with Kubernetes, CI/CD, infrastructure as code, automation, and observability across major cloud platforms.
Description
Established in 1997, Softeq was built from the ground up to specialize in new product development and R&D, tackling the most difficult problems in the tech sphere.
Now we've expanded to offer early-stage innovation and ideation plus digital transformation business consulting.
Our superpower is to deliver all of this under one roof on a global scale.
So let's get started and build a better future together!
Salary Range: €65,000.00 To €73,000.00 Annually
Key Responsibilities:
Architect and maintain highly available, secure cloud infrastructure, primarily on AWS,GCP, Azure;Lead CI/CD efforts by building and improving pipelines (GitHub Actions, GitLab CI, Jenkins, etc.);Manage Kubernetes clusters in production, including Helm charts, auto-scaling, and service mesh;Implement Infrastructure as Code (IaC) using Terraform, Pulumi, or similar tools;Automate provisioning, configuration management, monitoring, and incident response;Drive observability across systems with tools like Prometheus, Grafana, Loki, Datadog, or ELK;Collaborate with software engineers to enable fast, safe, and repeatable deployments;Mentor team members and establish DevOps best practices across the organization;Ensure compliance and security through automation, policy-as-code, and secure pipeline management;Use AI coding assistants (e.g., Claude Code, GitHub Copilot) to speed up automation scripting, IaC development, and troubleshooting;Apply AIOps practices (anomaly detection, automated root-cause analysis) to improve incident response and operational efficiency.
Requirements:
5+ years of experience in DevOps, SRE, or Cloud Engineering roles;Expertise with cloud platforms (AWS preferred; GCP or Azure also valuable);Production experience with Kubernetes and containerized workloads;Strong skills in scripting or programming (e.g., Python, Go, Bash);Deep understanding of CI/CD, GitOps (Argo CD, Flux, or similar), and modern deployment strategies (blue/green, canary, etc.);Hands-on experience with Terraform, Helm, and cloud networking concepts;Working knowledge of policy-as-code (OPA, HashiCorp Sentinel, or similar);Familiarity with monitoring, alerting, and incident management best practices;Proven ability to work cross-functionally with engineering, security, and QA teams;Strong communicator and mentor; able to guide and uplift other engineers;Practical experience using AI-assisted development or ops tools (e.g., GitHub Copilot, Claude Code) in daily workflows.
Preferred Qualifications:
Certifications such as AWS DevOps Engineer, CKA, or Terraform Associate;Background in scaling SaaS or multi-tenant platforms;Experience with secrets management (Vault, AWS Secrets Manager);Experience building or integrating AIOps solutions (anomaly detection, automated root-cause analysis, predictive scaling).
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