Work as part of an Agile team that delivers a platform to collect and process continuous event streams.
Take ownership from the design of the feature through the first lines of code to how it performs in production ("You build it, you run it"), including paid-on-call duties.
Develop streaming applications and services based on Kafka and implemented in Scala.
Develop web services in Scala.
Manage IaaS cloud infrastructure and associated technologies, especially AWS (S3, IAM, Networking,RDS…).
Work with relational databases (Postgres).
Design networking solutions and understand the inner workings of both AWS networking (load balancers, VPCs, security groups, Route53…) and Kubernetes networking (ingresses, services…).
Develop and maintain the infrastructure of a big data pipeline based on Infrastructure as Code practices with Kubernetes, Ansible, and other technologies.
Maintain the production systems, especially the Kafka clusters.
Work on technology selection for the platform.
Provide architectural insight for project goals, develop proofs-of-concept to validate various approaches and assumptions, help carry out the vision from its conception to execution.
Be an active team member in one of our self-empowered teams, producing software according to Agile principles.
Be part of an international company, where English is the language of communication.
What you bring:
Very good experience in Scala, Java, or any Object-Oriented language.
Understanding of good testing practices including unit testing and TDD.
Profound Knowledge of Clean Code, SOLID principles, and Object-Oriented design patterns.
Know-how in networking (DNS/TCP/IP) and Linux server administration.
Experience with git, with Continuous Integration/ Delivery, andwith cloud development and associated technologies, like AWS or other IaaS platforms.
Knowledge of container and orchestration technologies (Docker, Kubernetes).
Very good written and verbal English language skills.
Work experience of at least 5 years of practical experience in coding in a professional environment.
Furthermore, preferred skills are:
Big Data, Data-intensive applications, Distributed Systems.