We're looking for a talented and motivated DevOps Engineer.
As a DevOps Engineer at Wluper you are responsible for maintaining and automating as well as improving our development and release infrastructure. You will have the opportunity to design and develop creative, compelling, fault-tolerant and cutting-edge cloud-systems that support our mission. You will be working with a variety of tools to enable fast delivery and testing of our core products. That includes streamlining our automated software build, test and release processes, advancing our Containerization roadmap, identifying appropriate use of cloud operational best practices, implementing and controlling the flow of data to and from the cloud, making architecture design decisions based on compute, data, or security requirements and ensuring post-release product stability.
You will be involved in various stages of each product's lifespan, and should remain abreast of technological advancements to promote efficiency. You combine technical, communication, analytical capabilities and enjoy mentoring junior staff.
Please keep in mind that we are describing the background we imagine would best fit the role. However, even if you don't meet all the requirements, yet you are passionate about this opportunity, we would love to get to know you.
B.Sc. or B.Eng. in Computer Science or a related field.
Experience in deployment, debugging and monitoring of cloud-systems at scale.
Experience scripting with Python and another programming language (e.g. NodeJS/Java).
Hands-on experience of implementation and maintenance of CI/CD pipelines (e.g. Jenkins, CircleCI).
Experience with automation of processes and procedures and Configuration Management (e.g. Ansible, Puppet, Chef, Terraform).
Knowledge of AWS (e.g. networking and security concepts).
Knowledge of virtualization and container technology (Docker, Kubernetes etc.).
Experience with stress testing and relevant tools (e.g. Locust).
System administration and automation on both Linux and Windows.
Nice to have
M.Sc., M.Eng. or higher in Computer Science or related field.
Experience in microservice oriented architectures.
Ability to make decisions based on architectural requirements.
Proficient with large-scale data-serving/compute libraries and software, such as Hadoop, Spark, Apache Mesos, Apache Kafka etc.
Flexible hours and a working from home policy.
26 days paid holiday per year, plus bank holiday.
A MacBook Pro, and other tech that supports you doing your work.
Participation at training workshops, 1-on-1 sessions, conferences, and events.
Regular (remote) team events as well as regular (remote) social events.
When on-site, healthy snacks and breakfast as well as coffee, tea, and drinks.