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Senior Software Engineer - Together Cloud Platform

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Together AI

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Location:
United States , San Francisco

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

160000.00 - 230000.00 USD / Year
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Job Description:

About the Role: 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. Some of what you’ll work on: Work on a distributed GPU scheduling system for the on-demand clusters product, Instant Clusters; Build out a global management plane for managing our data center compute, networking, and storage; Design and build new customer-facing cloud platform services, delivering killer enterprise AI cloud features.

Job Responsibility:

  • Identify, design, and develop foundational backend services that power Together’s cloud 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
  • Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a related technical field, or equivalent practical experience

Nice to have:

  • Experience with Kubernetes and containers preferred
  • Experience building and operating data infrastructure (Kinesis, Airflow, Kafka, etc) a plus
What we offer:
  • competitive compensation
  • startup equity
  • health insurance
  • flexibility in terms of remote work

Additional Information:

Job Posted:
February 18, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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