
51 - 200 employees
Founded 2013
🤖 Artificial Intelligence
☁️ SaaS
🏢 Enterprise
💰 $150M Series D on 2021-07
Artificial Intelligence • SaaS • Enterprise
Sourcegraph is a company providing code intelligence solutions designed to help developers efficiently navigate and understand complex codebases. It offers tools like code search and context-aware AI to help developers write, fix, and refactor code with ease. Sourcegraph improves productivity by automating tasks such as unit testing and documentation, allowing developers to focus more on development. Its AI coding assistant, Cody, enhances coding efficiency by providing code completions and insights directly within developers' IDEs. Sourcegraph is trusted by large development teams for simplifying codebase management and increasing engineering productivity.
🕒 July 9
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51 - 200 employees
Founded 2013
🤖 Artificial Intelligence
☁️ SaaS
🏢 Enterprise
💰 $150M Series D on 2021-07
Artificial Intelligence • SaaS • Enterprise
Sourcegraph is a company providing code intelligence solutions designed to help developers efficiently navigate and understand complex codebases. It offers tools like code search and context-aware AI to help developers write, fix, and refactor code with ease. Sourcegraph improves productivity by automating tasks such as unit testing and documentation, allowing developers to focus more on development. Its AI coding assistant, Cody, enhances coding efficiency by providing code completions and insights directly within developers' IDEs. Sourcegraph is trusted by large development teams for simplifying codebase management and increasing engineering productivity.
• Develop inter-cloud connectivity solutions for enterprise customers. • Build a control plane for Sourcegraph Cloud instances. • Expose complex infrastructure as API for internal customers. • Debug and patch upstream dependencies to solve complex problems. • Advocate for building reliable services and achieve operational excellence. • Participate in on-call rotation to uphold SLA commitments.
• Proficiency in Go, or other strongly typed languages. • Knowledge in one of the public cloud platform providers (GCP, AWS, Azure) • Experience with Terraform (or similar IaC solutions) and Kubernetes to build tooling and automation. • Skilled at debugging distributed systems. • Ability to communicate clearly and empathetically, especially in writing and documentation. • Preferred time zone between UTC-8 and UTC+2
• above-average salary • equity • generous perks & benefits
Apply Now🕒 July 7
AI Infrastructure & Platform Operations Engineer at Mirantis managing large-scale AI infrastructures. Collaborating across teams to support NVIDIA GPU infrastructures and Kubernetes platforms.
Cloud
Distributed Systems
Grafana
Kubernetes
Linux
Prometheus
🕒 July 7
AI Infrastructure & Platform Operations Engineer supporting production AI platforms in Europe. Work with cutting-edge technologies and collaborate with teams across multiple datacenters.
Cloud
Distributed Systems
Grafana
Kubernetes
Linux
Prometheus
🕒 July 7
AI Infrastructure Engineer responsible for operating large-scale AI infrastructure at Mirantis. Working with NVIDIA GPUs, Kubernetes, and advanced networking technologies.
Cloud
Distributed Systems
Grafana
Kubernetes
Linux
Prometheus
🕒 July 7
AI Infrastructure & Platform Operations Engineer at Mirantis, ensuring operational stability of AI infrastructure platforms. Collaborating with teams to support large-scale environments powered by NVIDIA GPUs and Kubernetes.
Cloud
Distributed Systems
Grafana
Kubernetes
Linux
Prometheus
🕒 July 7
AI Infrastructure & Platform Operations Engineer supporting scalable AI infrastructure using NVIDIA GPUs and Kubernetes. Join Mirantis to develop and maintain critical AI infrastructure platforms across Europe.
Cloud
Distributed Systems
Grafana
Kubernetes
Linux
Prometheus