You help develop a robust microservice infrastructure while promoting DevSecOps practices. In this role, you collaborate with teams to improve reliability, manage capacity, and identify opportunities for automation.
Anforderungen
- •University degree in Computer Science or related
- •Proven track record as a cloud infrastructure expert
- •Large-scale system design exposure
- •In-depth understanding of UNIX/Linux
- •Network technology and security practices knowledge
- •Experience with Google Cloud Platform or similar
- •Knowledge of scaling microservices with container orchestrator
- •Expertise in Kubernetes
- •Experience with Infrastructure as Code (IaC)
- •Experience with Terraform
- •Experience with GitLab CI and ArgoCD
- •Observability stack experience with Open Telemetry and Grafana
- •Solid experience in Python or TypeScript
- •Proficient in spoken and written English
- •Eager to learn and reliable team player
Deine Aufgaben
- •Build a reliable microservice infrastructure.
- •Promote a DevSecOps mindset in engineering.
- •Collaborate to enhance product reliability and performance.
- •Identify automation opportunities for efficiency.
- •Engage in capacity planning and demand forecasting.
- •Handle incidents and analyze performance.
- •Research and evaluate solutions for use cases.
Deine Vorteile
Productivity improvement time
Personal and technical mentoring
Competitive salary package
Flexible working hours
Hybrid working model
EGYM Wellpass
Deutschland-Ticket Jobticket
BusinessBike
Workation up to 30 days
Original Beschreibung
## (Senior) DevOps Engineer (all genders)
###### Permanent employee, Full-time ·Karlsruhe (HQ) / Gothenburg / remote in Germany & Sweden
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##### The role
You will be part of an ambitious team that has fun delivering highly-reliable software to our customers.
As a DevOps Engineer, you operate our cloud ecosystem. The role is a blend of system and software engineering where coding and automation are essential. You embody the philosophies of DevOps with a greater focus on measuring and achieving reliability through engineering and operations work. You will help the team to build, ship, and operate our product and make AI accessible to bring society to the next level.
##### Your tasks
* As part of a self-organized agile team, you help to build a developer-friendly, reliable microservice infrastructure
* You promote a DevSecOps mindset within engineering department to own our product end to end
* Collaborate across teams and departments to improve product reliability and performance
* Identify automation opportunities to gain efficiency, reliability, and scalability
* Engage in service capacity planning and demand forecasting, incident handling, and performance analysis
* Research and evaluate solutions for our use cases
##### What will you need to be successful?
* University degree in Computer Science (or related) or a proven track record as a cloud infrastructure expert
* Large-scale system design exposure, in-depth understanding of UNIX/Linux, network technology, and security practices
* Experience with Google Cloud Platform or similar
* Knowledge of running and scaling microservices with a container orchestrator (Docker) and expertise in Kubernetes
* Experience with Infrastructure as Code (IaC) (Terraform)
* Experience with GitLab CI and ArgoCD
* Observability stack experience (Open Telemetry, Grafana)
* Passion for software engineering and automation, solid experience in one high-level language (Python, TypeScript, or similar, shell scripting is a plus)
* You are eager to learn, a reliable team player, and hungry for new challenges
* Highly proficient in spoken and written English
##### What we offer
* Productivity and improvement time between the development sprints
* A mentor helping you with your personal goals, technical progress in general and your software engineering skills in particular
* Competitive salary package, flexible working hours, hybrid working model
* EGYM Wellpass
* Deutschland-Ticket Jobticket
* BusinessBike
* Up to 30 Days Workation all around the world
##### Overview of our tech stack
Google Cloud Platform, Terraform, ArgoCD, Grafana, Kubernetes, MongoDB, TypeScript, Python, Node.js