Senior Software Engineer - Together Cloud Platform

About the position

Together AI is building the AI Acceleration Cloud, an end-to-end platform for the full generative AI lifecycle, combining the fastest LLM inference engine with state-of-the-art AI cloud infrastructure. As a Senior Backend Engineer, you will play a key role in building the next generation AI cloud platform - a highly available, global, blazing-fast cloud infrastructure that virtualizes cutting-edge ML hardware (GB200s/GB300s, BlueField DPUs) and enables state-of-the-art ML practitioners with self-serve AI cloud services, such as on-demand + managed Kubernetes and Slurm clusters. This platform serves both our internal StaaS products (inference, fine-tuning) and our external cloud customers, spanning dozens of data centers across the world.

Responsibilities

• Identify, design, and develop foundational backend services that power Together's commerce platform
• Analyze and improve the robustness and scalability of existing distributed systems, APIs, databases, and infrastructure
• Partner with product teams to understand functional requirements and deliver solutions that meet business needs
• Write clear, well-tested, and maintainable software and IaC for both new and existing systems
• Conduct design and code reviews, create developer documentation, and develop testing strategies for robustness and fault tolerance
• Participate in an on-call rotation to address critical incidents when necessary

Requirements

• 5+ years of demonstrated experience in building large scale, fault tolerant, distributed systems and API microservices
• Experience designing, analyzing and improving efficiency, scalability, and stability of various system resources
• Excellent communication skills - able to write clear design docs and work effectively with both technical and non-technical team members
• Demonstrated experience with building and operating high-performance and/or globally distributed microservice architectures across one or more cloud providers (AWS, Azure, GCP)
• Strong systems knowledge across compute, networking, and storage, including concurrency, memory management, performant I/O, and scale
• Experience developing against and managing a relational database, such as PostgreSQL
• Expert-level programmer in one or more of programming language (Golang preferred)
• Proficiency in version control practices and integrating IaC with CI/CD pipelines
• Experience with Kubernetes and containers preferred
• Experience building and operating data infrastructure (Kinesis, Airflow, Kafka, etc) a plus
• Bachelor's or Master's degree in Computer Science, Computer Engineering, or a related technical field, or equivalent practical experience

Nice-to-haves

• Experience with Kubernetes and containers
• Experience building and operating data infrastructure (Kinesis, Airflow, Kafka, etc)

Benefits

• Competitive compensation
• Startup equity
• Health insurance
• Flexibility in terms of remote work