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Partyhat
Candidates need proven experience shipping production-grade backend systems at scale, with hands-on mastery of Node.js, GraphQL, Golang, MongoDB, Kafka and Redis. They must be available around the clock, comfortable with on-call duty, and familiar with Web3 digital asset environments.
Node.js, GraphQL, Golang, MongoDB, Kafka, Redis
ClickHouse
5+ ansCandidates need 5+ years of production software engineering experience and hands-on experience deploying AI/ML models, including inference APIs and vector databases. Applied ML skills in Python (PyTorch, Jupyter) and compute clusters such as Ray or Slurm are required, and ClickHouse experience is a plus.
PyTorch, Jupyter, Ray, Slurm, ClickHouse, AWS
Planet: Planet is the leading provider of global, daily satellite imagery and insights.
4+ ansCandidates need 4+ years in platform engineering, DevOps, system administration or SRE, with deep Kubernetes and Linux knowledge. They also need cloud experience with GCP or AWS, CI/CD and GitOps skills, and programming experience in Go or Python.
Kubernetes, GKE, Terraform, Crossplane, ArgoCD, GitLab
Third-Party Job Posts
Candidates need senior experience as a data engineer, data architect or tech lead in cloud environments. Deep Snowflake and dbt skills, advanced SQL and Python, and experience with orchestration tools and CI/CD are required. Business-level English and remote teamwork skills are expected.
Snowflake, dbt, Matillion, Sigma, Git, Jira
Cerebras Systems
12+ ansCandidates need 12+ years of production distributed systems experience, strong Go skills, and experience with control planes, APIs and Kubernetes. Strong testing practice and sound judgment on reliability and observability are also required.
Go, Protocol Buffers, SQL, Python, Kubernetes, Linux
Cerebras Systems
3+ ansCandidates need a Master's or PhD in Computer Science or Electrical Engineering with one year of industry experience, or three or more years of industry experience. Strong networking knowledge, socket programming, embedded systems and some driver development are expected.
Wireshark, Arista, Juniper
Cerebras Systems
8+ ansCerebras Systems needs 8+ years of software test or infrastructure quality experience. Candidates must have hands-on GPU cluster bring-up experience, knowledge of LLM serving engines, expert Python and strong Kubernetes, Slurm or Ray skills.
Python, Kubernetes, Slurm, Ray, Prometheus, Grafana
Cerebras Systems
5+ ansCandidates need 5+ years building production distributed systems or infrastructure software, strong Go and Python skills, and real Kubernetes depth including controllers, operators, CRDs and RBAC. They also need Prometheus and Grafana experience, strong debugging across distributed systems, Linux and networking, and a demonstrated habit of using AI coding agents in their work.
Kubernetes, Go, Python, Prometheus, Grafana, gRPC
Cerebras Systems
6+ ansCandidates need 6 to 8 years of experience running complex compute infrastructure, strong Python and Go skills, and deep knowledge of distributed systems, Linux, Docker and Kubernetes. Monitoring and alerting experience and a willingness to work on-call 24/7 are also required.
Docker, Linux, Python, Go
Cohere: Cohere is the leading security-first enterprise AI company.
5+ ansCandidates need 5+ years of engineering experience running large-scale production infrastructure, especially distributed systems on Kubernetes with GPU workloads. Strong Linux, cloud platform, troubleshooting and performance skills are required, and experience in Golang, C++ or a similar high-performance language is a plus.
Kubernetes, Linux, GPU, GCP, Azure, AWS
NetBrain
8+ ansCandidates need 8 to 12+ years in software or infrastructure engineering, including 4+ years in a SaaS architecture role and deep hands-on AWS experience. They must have a proven record of building multi-tenant SaaS platforms and leading architecture across several teams.
AWS, Terraform, AWS CloudFormation, Kubernetes, RabbitMQ, Kafka
8 entreprises