• Build and maintain scalable systems and infrastructure for deploying and serving ML models. • Design low-latency, fault-tolerant model inference systems using Amazon SageMaker. • Implement safe deployment strategies like blue/green deployments and rollbacks. • Create and manage CI/CD pipelines for ML workflows. • Monitor model performance and system health using AWS observability tools (e.g., CloudWatch). • Develop internal tools and APIs to help ML teams deploy and monitor models easily. • Collaborate with ML engineers, data scientists, and DevOps to productionize new models. • Participate in code reviews, system design, and platform roadmap discussions. • Continuously improve deployment reliability, speed, and usability of the ML platform.

• Design and maintain Node.js/NestJS services for message storage, retrieval, and state sync • Build well-typed REST contracts for Threads and Composer operations • Model and optimize MongoDB/Firestore schemas for high read/write volumes and atomic updates • Implement queues, caching, and rate limiting to handle burst traffic gracefully • Ship modular Vue 3 UIs that consume your APIs efficiently and handle realtime state updates • Instrument logs, metrics, and traces to monitor latency, error rates, and throughput • Maintain high coverage across unit, integration, and contract tests • Participate in on-call, debug incidents, and drive post-mortem action items to closure • Work closely with Product and Frontend leads while reviewing code and supporting junior engineers

• Reimagine and implement the future of tech for the music industry, building an all new codebase • Work as part of a dynamic and highly effective team • Own the creation and delivery of highly innovative products • Learn and grow as a professional through close collaboration with your team members and engineering leaders, and by being part of culture of continuous improvement and learning

• Independently manage all stages of application development, shape requirements, and lead engineering projects relating to the Termius backend. • Share responsibility for testing, releasing, and maintaining the backend codebase and related developer tools and processes. • Work closely with product managers, designers, and engineers to influence product development. • Communicate with our users to understand their needs, troubleshoot issues, and ensure their success with our platform. • Proactively identify and resolve technical challenges to optimize existing systems for performance, reliability, scalability, and security. • Participate in code reviews and ensure high code quality throughout the codebase. • Automate tasks and implement CI/CD pipelines to streamline development workflows. • Troubleshoot and fix complex backend and infrastructure issues. • Stay up-to-date with the latest backend technologies and trends.