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Together AITogether AISan Francisco, CA

Senior Software Engineer - Together Cloud Platform

Build highly available global AI cloud platform virtualizing ML hardware for self-serve services like Kubernetes clusters. Requires 5+ years in distributed systems, Golang expertise, cloud providers, and strong systems knowledge.

160k – 230k/yr
Remote5+ YOEFullstack Engineering

About the role

Responsibilities

  • 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.
  • 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

Compensation

US base salary range: $160,000 - $230,000 + equity + benefits. Competitive compensation determined by location, level, role, experience, skills, and job-related knowledge. Flexibility in terms of remote work.

Skills

GoKubernetesPostgresAWSAzureGCPDistributed SystemsMicroservicesIacCI/CD
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