About the job

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior DevOps Engineer based in Germany.

This role focuses on building and operating reliable, scalable cloud infrastructure for a fast-growing AdTech and e-commerce platform. You’ll take ownership of production infrastructure, containerized applications, deployment workflows, monitoring, and operational reliability. Working primarily with AWS and Kubernetes, you’ll help optimize systems for performance, scalability, availability, and cost efficiency. You’ll partner closely with development teams to improve CI/CD processes and make deployments smoother and more reliable. The role also offers opportunities to strengthen infrastructure automation, observability, and Infrastructure-as-Code practices. You’ll work in a flexible, remote environment where proactive problem-solving and strong ownership are highly valued.

Accountabilities

Manage, deploy, and maintain containerized applications using Kubernetes in production environments.
Manage AWS infrastructure across services including EC2, VPC, S3, IAM, RDS, and OpenSearch, ensuring scalability, reliability, security, and cost efficiency.
Monitor infrastructure and application performance, maintaining and improving alerting and observability systems to support high availability.
Collaborate closely with development teams to streamline CI/CD pipelines and optimize deployment workflows.
Troubleshoot infrastructure and application issues, investigate root causes, and drive timely incident resolution.
Continuously improve infrastructure automation, operational processes, and DevOps best practices.
Support performance tuning and cost optimization of EC2 instances and other cloud resources.
Contribute to GitOps and Infrastructure-as-Code practices where appropriate.
Build and maintain dashboards and monitoring solutions using tools such as Prometheus, Grafana, and AWS CloudWatch.

Requirements

5+ years of experience in DevOps or Site Reliability Engineering roles.
Proven experience supporting production systems with high availability and reliability requirements.
Strong hands-on experience with Kubernetes for container orchestration and production deployments.
Solid understanding of AWS services, particularly EC2, VPC, S3, and IAM.
Practical experience managing EC2 instances, including performance tuning and cloud cost optimization.
Experience with monitoring and observability tools such as Prometheus, Grafana, and AWS CloudWatch.
Strong scripting skills with Python and/or Bash for automation and operational tasks.
Strong troubleshooting and problem-solving abilities, with a proactive approach to infrastructure reliability.
Ability to take ownership of infrastructure initiatives while working effectively both independently and within a development team.
Familiarity with GitOps practices for continuous delivery and infrastructure automation is a plus.
Experience with Terraform or other Infrastructure-as-Code tools is advantageous.
Advanced Grafana experience, including custom dashboards and visualizations, is beneficial.
Experience managing AWS RDS instances is a plus.
Familiarity with the Elastic Stack, including Elasticsearch, Kibana, and Elastic Cloud, is advantageous.
Experience with AWS OpenSearch for search and analytics use cases is a plus.

Benefits

Competitive monthly compensation.
Fully remote working environment.
Flexible working schedule.
18 paid vacation working days.
Paid sick leave, including 5 undocumented sick days per year.
Health support through medical insurance or sports programs.
English lessons and sports activities.
Opportunities to participate in charity events.
Professional development support and opportunities to obtain certifications.
Support for attending conferences and industry events.
Mac equipment for work.
Full support with Private Entrepreneur reporting services (ФОП).

How Jobgether Works

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Responsibilities