Software Engineer - Distributed Systems
w: rilla.network

Who we're looking for We’re looking for engineers who have extensive experience designing, building, and operating large-scale distributed systems, with a strong focus on orchestration, machine learning operations, and comprehensive observability.

Responsibilities

• Design, implement, and maintain scalable, resilient distributed systems for Rilla's network and media streaming infrastructure.

• Orchestrate and manage containerized services using Kubernetes, ensuring high availability and fault tolerance.

• Implement and optimize MLOps practices for deploying, managing, and monitoring machine learning components within our services.

• Establish and evolve comprehensive observability solutions using tools like OpenTelemetry to ensure deep system health, performance, and reliability.

• Ensure the reliability, security, and performance of our distributed architecture and data pipelines.

• Collaborate with cross-functional teams to integrate solutions into our products and optimize end-to-end system flow.

Qualifications

• Extensive experience designing, building, and operating large-scale distributed systems.

• Proficiency with Kubernetes and cloud-native orchestration technologies.

• Practical experience with MLOps principles and tools for production AI/ML systems.

• Demonstrated expertise in observability (monitoring, logging, tracing) with tools like OpenTelemetry.

Nice to have

• Experience working with Cloud platforms like AWS, ECS/Lambdas.

• Rust, TypeScript, Python (strongly typed) experience.

• Experience working in a startup environment in a tech/team leader capacity.

• Experience working with distributed and decentralised systems at scale.

• We are after people with experience building distributed systems who ideally have used Actors, Clustering, Consensus algorithms (Raft), CRDTs.