Senior DevOps Engineer - ElasticSearch Admin - Search & Services - (f/m/x at AUTO1 Group

Berlin, , Germany -

Full Time

Start Date

Immediate

Expiry Date

17 Feb, 26

Salary

0.0

Posted On

19 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Yes

Skills

ElasticSearch, Terraform, Jenkins, Docker, AWS, GCP, Kibana, Grafana, Kafka, Logstash, Beats, Python, PHP, Java, CI/CD, Data Pipelines

Industry

technology;Information and Internet

Description

Company Description Our Tech department is the driving force behind one of the most successful start-ups in Europe since 2012. Based in Berlin, we have an innovative and driven team that is using cutting-edge technologies to redefine the used car market. As a part of a high-performing team, you will need to lead and execute at your best to enable our growth and innovation goals. We would love you to come and use your experience with Terraform, Jenkins, Docker and other relevant tools, ensuring our deployments can continue flowing into the cloud. Do you want to be part of our cross-functional DevOps Teams? Come and join us on this journey! Job Description You will be responsible for maintenance, support, and ongoing performance enhancements on multiple Elastic instances, performing system upgrades, troubleshooting, and resolving infrastructure and system issues, as well as log ingestion and communication issues. Design and develop scalable, robust, and high-performance data pipelines and data storage solutions. Develop and maintain observability frameworks using tools like Kibana, Grafana, or similar Work with cross-functional teams to define observability and search requirements. Scale, script and maintain our development and production platform foundation with AWS and GCP Stay updated on the newest tools and (cloud) services Perform database backups, migrations, and upgrades as needed. Discuss and evangelize for new technologies and best practices amongst and outside of your team Qualifications Hands-on experience administrating Elasticsearch clusters (5+ Data nodes) Knowledge of planning and executing data retention and life cycle management, Index and Datastream mappings, as well as ML and transform jobs, Kibana alerts knowledge is a plus Hands-on experience in operations of sizing, monitoring, and management, for Kafka, Logstash, Beats, Kibana, and Elastic Agent You have worked with queuing systems and data streams in production (SQS, ActiveMQ, Kinesis, Kafka or similar) and you are familiar with programming languages such as: PHP and/or Python and/or Java; 4+ years of experience in administering/developing/DevOps in a Linux/Unix environment You are an AWS Expert and have experience in creating CI/CD pipelines preferably using Jenkins, and experience with docker orchestration engines (ECS, Kubernetes, swarm, UCP, etc) Significant experience with Docker, Terraform, or CloudFormation to build and configure your system, but you still remember the good old times when everything was done with system management tools (Salt, Chef, etc) Additional Information Our offer Colleagues who strive for excellence while using the latest technologies. See what we do in our Tech-Blog: https://auto1.tech Relocation support to Germany which includes visa assistance, apartment search and help with costs Educational budget for your personal growth Your future is important to us, which is why we have an above-average corporate pension plan to top it off Your life-work balance and working from home are part of our culture, you can work from home up to 5 days a week Join more than 90 different nationalities in a truly international and diverse working environment Apply by uploading your CV with a note of your salary expectations. Contact Igor Popov At AUTO1 Group we live an open culture, believe in direct communication, and value diversity. We welcome every applicant; regardless of gender, ethnic origin, religion, age, sexual identity, disability, or any other non-merit factor.

Responsibilities

You will be responsible for maintenance, support, and ongoing performance enhancements on multiple Elastic instances. This includes troubleshooting, resolving infrastructure issues, and developing scalable data storage solutions.