Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Job in Germany: Senior DevOps Engineer (m/w/d)

Sovendus GmbH
9 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist (Machine Learning & Advanced Analytics)

Senior Data Scientist (Machine Learning & Advanced Analytics)

Western Europe Practice Head - Data Science (Machine Learning/Artificial Intelligence (ML/AI)

Data Scientist Belfast, Northern Ireland, United Kingdom

Data Scientist

Data Scientist

Senior DevOps Engineer (m/f/d)

Work experience Senior Field of activity

IT and software development

Employment type Full-time Place of work

Remote or Karlsruhe

Strong network. Strong team.

Become part of one of the leading networks for checkout and digital marketing services in Europe! Over 2,300 partner stores rely on our first-class e-commerce solutions, which we are constantly developing with innovative approaches and artificial intelligence. This is where you come in: bring your ideas, energy and personality to actively shape our future!

Your job:

Operation and optimization of our data-intensive infrastructure

  • Through your close teamwork, you will foster a high-performance and collaborative work environment focused on continuous improvement.
  • In constant collaboration with the application and data teams, you ensure the smooth deployment and efficient operation of the applications.
  • You will develop and implement a highly automated infrastructure using IAC and GitOps practices to ensure high availability, scalability, cost efficiency and security.
  • You will perform infrastructure maintenance tasks, troubleshoot and perform root cause analysis.
  • You implement and manage logging and monitoring solutions to ensure the reliability and performance of the system as well as rapid problem resolution.
  • Analyze, plan and execute the migration phases of Sovendus on-premise applications to AWS, ensuring the right choice of AWS services and architecture.
  • Together with the team, you will take responsibility for the Sovendus platform
  • You will also mentor Junior DevOps Engineers and support them in their development.

Your profile:

Strong team player with in-depth DevOps engineering experience

  • You have several years of experience as a Senior DevOps Engineer or in a similar role
  • AWS services (VPC, IAM, EKS, EC2, RDS, S3) and cloud-based network configurations are your daily business, including understanding AWS cloud network configuration in multi-account environments.
  • Your deep expertise in Infrastructure as Code (IaC) is evident in your knowledge of tools such as Terraform for provisioning and managing infrastructures.
  • You also have in-depth expertise in container technologies and orchestration (Docker, Kubernetes)
  • You are familiar with continuous integration and deployment tools (GitLab CI) as well as monitoring and logging tools (AWS CloudWatch, Fluent Bit, Prometheus, Grafana)
  • Your strong scripting skills in Bash and Python will help you automate and troubleshoot infrastructure issues.
  • In-depth knowledge of implementing cloud security practices (IAM policies, VPC configurations, data encryption, etc.) rounds out your technical expertise.
  • Fluency in English and excellent communication skills enable you to work effectively with your team
  • Additional experience with MySQL, Apache Kafka and Redis is a plus!


Our benefits


Flexible working hours

Workation (up to 110 days per year)

30 days vacation

Next-
education

Operational
retirement provision

Family
friendliness

JobRad

Remote Work

Buddy Program

Free drinks &
Team meal

Your chance: Apply directly via our careers website.

Your contact person:

Lea Engelmann
People & Culture Manager

+49-721-957846-141

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.