We are looking for a Senior Software Engineer to design, build and operate backend and platform services in a cloud native environment.
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The role focuses on distributed systems, event driven architectures and highly reliable APIs, with strong ownership from design to production.
You will work on systems that handle high traffic, integrate with third party providers and internal platforms, and require strong observability, scalability and resilience guarantees.
Responsibilities Design and implement backend services and platform components using Go and other modern backend languages Build and evolve event driven architectures using messaging and streaming technologies Design and maintain REST and Graph QL APIs consumed by internal and external clients Implement service to service communication patterns with a focus on reliability, idempotency and fault tolerance Own the full software lifecycle in a you build it, you run it environment Instrument services with logs, metrics and traces, and actively use observability data for troubleshooting and improvements Perform root cause analysis of production incidents and implement long term fixes Collaborate with cross functional teams to design scalable and maintainable solutions Mentor other engineers and contribute to engineering standards and best practices Technical stack Backend: Go, with experience in other backend languages considered a plus Cloud and infrastructure: AWS or similar cloud providers Containers and orchestration: Docker, Kubernetes, Helm Eventing and messaging: Kafka or equivalent streaming platforms Data stores: SQL and No SQL databases Observability: metrics, logging and tracing systems, preferably Open Telemetry based CI/CD: automated pipelines and infrastructure xpzdshu as code What we are looking for Strong experience building backend systems in production environments Solid understanding of distributed systems and cloud native architectures Hands on experience with event driven systems and asynchronous workflows Good understanding of observability beyond dashboards, including data models and performance tradeoffs Comfortable owning services in production and participating in on call rotations Pragmatic mindset with attention to code quality, testing and maintainability Ability to communicate technical decisions clearly and work collaboratively