Software Engineer - IT Data Protection

Job brief

We're looking for a remote Senior Software Engineer (m/f/d) IT Data Protection!
Our team's vision is to become as user-centric & efficient as possible by focusing on our stakeholders' feedback, optimizing the usability of our services, and automating every process as much as possible. By joining our team, you can help lift the company to the next level in data compliance and have a direct impact on creating a trusted systems to treat our customer's data with the respect it deserves.

Responsibilities

• As part of a central platform team, you will help us harden our data compliance processes,and make it easy and seamless for our globally distributed teams to leverage data while complying with regulations in markets that we operate in.
• We use different cloud providers and many services/tools to store and process data acrossthe company, and you will have the opportunity to collaborate withmany teams to help them integrate with central processes and services.
• You will play a key role in taking our platform to the next level.
• You will design architectures and build software to automate processes.
• You will have the opportunity to collaborate with different teams and get to know their techstacks, so having significant exposure to the technical landscape used.
• You will help standardize our processes and can impact large parts of the organization.

Requirements

• Fluent in SQL
• Deep understanding of role-based access control / IAM, and

authorization/authentication(incl OAuth 2.0)

• Hands-on experience in managing and automating cloud infrastructure (e.g., AWS, GoogleCloud, Microsoft Azure)
• Experience with building and using REST APIs
• Strong programming skills (preferably JVM-based)
• Own the full software delivery lifecycle (incl. CI/CD, monitoring/alerting)
• Experience with continuous application deployment and containerized application delivery (e.g., Docker, Kubernetes)
• Strong ownership for your services and experience in agile working environments
• Understanding of distributed systems and data streaming
• Understanding of analytical workloads (inc. ETL, reporting, machine learning)