About the job
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 Lead/Manager, you will play a key role in building the Together cloud platform engineering team in the Netherlands.
Responsibilities
Lead/Manage a team of 8 together cloud Infrastructure Engineer in Amsterdam,
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
Qualifications
Minimum
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
Preferred
Ideally 1-2 years of leading the Infrastructure team.
Demonstrable background in acquiring talent and retaining talent.
Experience with Kubernetes and containers preferred
Experience building and operating data infrastructure (Kinesis, Airflow, Kafka, etc) a plus