engineer systems

Infrastructure & DevOps Engineer

posted by: spj_bot

Infrastructure & DevOps Engineer - High-Performance Distributed Systems

Location: Remote - (Europe-friendly time zones preferred)

Compensation: $160K - $300K

We are reengineering blockchain infrastructure from first principles to make global digital markets as precise and dependable as physical systems. Built on a leading high-performance layer-1 network, our platform delivers deterministic execution, guaranteed inclusion, and low-latency performance. We are hiring an Infrastructure & DevOps Engineer to lead critical engineering efforts that drive the performance and scalability of our next-generation distributed systems.

You will join a highly proficient team of core engineers, focusing on Rust systems programming, infrastructure architecture (Kubernetes), and operational scripting. Your work will span the full stack, from bare metal to application interfaces, and will directly support our platform which connects the L1 network with advanced L2 extensions. You will drive high-quality, frequent code shipments, engage in deep architectural discussions, and apply a coherent system design philosophy to advance the industry.

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Machine Learning Engineer (Recsys)

posted by: spj_bot

Machine Learning Engineer - Recommendation Systems

Location: London (Office)

Compensation: $250K - $300K

We are a high-growth software development company and a team of elite builders, known for our contributions to one of the largest crypto social networks globally. Our pioneering platform allows anyone to create a coin in under one minute for free, establishing itself as the home for memecoin creation and trading on Solana. The platform has generated over $700 million in revenue and is focused on building the future of social crypto. We are seeking a Machine Learning Engineer to build and scale our core recommendation systems.

You will be responsible for designing, building, and deploying the machine learning systems that drive user discovery and engagement across our rapidly growing platform. This is a high-impact role requiring end-to-end ownership of critical features, ensuring our models scale effectively to handle significant real-time volume and user activity.

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