Senior Software Engineer, Cloud Platform

About This Opportunity

We are representing a confidential automotive technology organization building the next generation of connected vehicle platforms. Our talent team is seeking a Senior Software Engineer to join their Cloud Platform group in Berlin.

This is a hands-on infrastructure role focused on distributed systems that enable real-time communication between vehicles, mobile applications, and cloud services. You'll build and operate the messaging fabric that product teams rely on to read vehicle state, subscribe to changes, and send commands at scale.

Responsibilities

• Design, build, and operate cloud services and gRPC/Protobuf APIs that abstract messaging, routing, and authorization complexity from product teams
• Operate and tune high-performance messaging systems including configuration, upgrades, troubleshooting, performance validation, and capacity planning
• Own services end-to-end from implementation through deployment and production operation using Kubernetes, GitOps workflows, and infrastructure as code
• Diagnose production behavior using metrics, traces, logs, dashboards, and alerts
• Design, operate, and tune service networking, load balancers, and L4/L7 traffic routing
• Develop and run end-to-end, integration, and load tests to catch functional and performance regressions before production

What We're Looking For

Required:

• At least 5 years of software engineering experience focused on distributed systems, high-scale backend services, or streaming and messaging platforms
• Strong proficiency in at least one general-purpose programming language and willingness to work primarily in Go, with occasional work in Java and TypeScript client SDKs
• Practical experience building and operating production services, including observability and troubleshooting
• Solid foundations in API design, networking, concurrency, and distributed systems with working knowledge of Kubernetes

Preferred:

• Hands-on experience with high-throughput messaging systems such as NATS, Kafka, or MQTT
• Experience with Kubernetes and owning service deployments; familiarity with GitOps/Argo CD and infrastructure as code
• Strong knowledge of HTTP/2, TCP, L4/L7 load balancing along with experience operating gRPC services in production
• Familiarity with mTLS, certificates, service identity, secure transport and authentication patterns
• Track record of maintaining or contributing to established open-source projects

How We Work With You

When you apply through Get A Job.ai, our recruiting team will review your background and schedule an initial screening call. We'll discuss your experience with distributed systems, cloud platforms, and production operations to ensure strong alignment with our client's needs.

If there's a mutual fit, we'll submit your profile to our client and coordinate all interview stages on your behalf. Please do not contact the client directly — we manage the entire process to ensure the best candidate experience.

Pay

Compensation details will be discussed during the screening process based on experience and qualifications.

Equal Opportunity

Get A Job.ai is committed to creating a diverse and inclusive recruitment process. All qualified applicants will receive consideration without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, disability status, veteran status, or any other characteristic protected by law.