Design and deliver private and public cloud solutions using Kubernetes, OpenStack, and Ceph across on-premises and cloud environments.
Act as a cloud solutions architect, translating customer workload requirements into scalable architectures.
Develop open source automation using Python and contribute to a collaborative engineering culture.
The company partners with global organizations to adopt modern private and public cloud infrastructure, Linux, and open source technologies. They foster a distributed work environment with a focus on collaboration, continuous learning, and engineering excellence.
Design, develop, and maintain MLOps pipelines on AWS to automate and operationalize machine learning models.
Collaborate with Data Scientists to deploy, monitor, and scale ML solutions in production environments.
Architect cloud-based systems, integrate APIs, and build web applications and LLM-powered agents.
The company is a partner of Jobgether, specializing in cloud and AI solutions. It fosters a collaborative, innovation-driven environment with a focus on professional development and employee well-being.
Build and operate the Kubernetes platform supporting AI test and evaluation frameworks.
Design infrastructure-as-code, GitOps workflows, and automated deployment pipelines.
Own platform reliability, observability, capacity planning, and operational readiness.
OpenTeams helps enterprises and governments build AI they control, govern, and evolve themselves. Founded by the creator of NumPy and SciPy, the company is built by people with deep roots across the open-source ecosystem and maintains a remote-first culture.
Design, build, and operate high-load distributed backend services powering the company's ML infrastructure.
Take end-to-end ownership of core ML services and data pipelines from design to deployment and continuous improvement.
Partner with ML and product teams to understand their needs and turn them into reliable, reusable platform capabilities.
Constructor is an AI-first e-commerce search and discovery platform that helps shoppers find products and enables brands to drive revenue. The company is fully remote, diverse, and values ownership and collaboration.
Design and maintain CI/CD and MLOps pipelines for AI and software applications, ensuring seamless deployment and automation.
Build and scale cloud-native infrastructure using Kubernetes, Docker, and GPU clusters to support high-performance AI workloads.
Champion Infrastructure as Code and observability practices to ensure high availability, security, and compliance across multi-cloud environments.
Bitdeer is a world-leading technology company providing AI and Bitcoin mining infrastructure. Headquartered in Singapore, the company has a global presence with data centers in multiple countries and a culture focused on innovation and reliability.
Design and maintain CI/CD and MLOps pipelines for software and machine learning models.
Build and scale cloud-native infrastructure using Kubernetes, Docker, and GPU clusters.
Champion Infrastructure as Code and observability to ensure high availability and governance.
Bitdeer is a world-leading technology company for AI and Bitcoin mining infrastructure, providing comprehensive solutions and cloud capabilities. Headquartered in Singapore, the company has deployed data centers across multiple countries and fosters a culture of innovation.
Participate in customer and sales meetings to explain technical capabilities and develop proof-of-concept solutions.
Troubleshoot and resolve complex customer issues through code analysis, scripting, and log analysis.
Collaborate with internal teams across engineering, sales, and product to improve platform and customer experience.
The company specializes in AI infrastructure and cloud environments, helping customers adopt and scale AI workloads. It is a remote-first, collaborative organization with a fast-growing team that values ownership and quick execution.
Architect and deliver cloud infrastructure solutions across public and private cloud environments, including Kubernetes, OpenStack, Ceph, and Spark.
Design solutions integrating widely adopted open source technologies such as PostgreSQL, MongoDB, Kafka, and NGINX.
Work with OEMs, global system integrators, and public cloud alliances to support technical adoption and joint solution development.
A technology partner company is seeking a Cloud Solutions Architect to drive cloud and open source adoption across strategic partnerships. The company operates with a globally distributed team and offers a remote work environment with twice-yearly in-person sprints.
Own the technical path from customer interest to working deployment, integrating the platform into production AI environments.
Build and operate AI/MLOps pipelines, debug complex environments, and create prototypes and demos.
Translate customer needs into product improvements, partnering with Sales, Product, and Engineering.
Neuromorphic Labs is a Seed-stage AI startup building a trust layer for production AI, making security, governance, and control intrinsic to every model and deployment. Backed by top-tier VCs, the team is small and fast-paced, emphasizing ownership, high standards, and collaboration with exceptional builders.
Manage a small set of strategic client accounts, acting as a primary technical advisor and architect.
Drive engagement plans, milestones, and risk mitigation while collaborating with Customer Success and account teams.
Provide hands-on support for platform architecture, operations, security, and ML-Ops, and troubleshoot implementations.
Dataiku provides an enterprise orchestration layer for building, deploying, and governing AI, connecting the full AI stack across multi-vendor environments. The company is a leading platform trusted by global enterprises, with a collaborative culture focused on innovation and growth.
Build and deploy production code to support customer AI inference workloads on Tenstorrent's hardware and software stack.
Debug and optimize across the full inference stack, from serving layer to kernel dispatch, and translate customer issues into actionable requirements.
Operate Kubernetes and observability tools to manage multi-node AI clusters and ensure reliability.
Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. Their diverse team of technologists has developed a high-performance RISC-V CPU from scratch, and they value collaboration, curiosity, and a commitment to solving hard problems.
Design and advance core infrastructure for multi-cloud Kubernetes clusters and developer toolchains.
Automate operations and engineering tasks to improve productivity and reliability.
Build machine learning infrastructure to enable AI teams to train and deploy large-scale models.
Cresta provides an AI platform that transforms customer conversations into competitive advantages by combining conversational AI, real-time agent augmentation, and conversation intelligence. The company has raised over $270 million from top investors like a16z, Greylock, and Sequoia, and is led by AI industry veterans.
Provide solutions to customers to make them successful using our products.
Troubleshoot customer environments and engage in active triaging with customers.
Participate in on-call rotation for weekend coverage.
Astronomer empowers data teams to bring mission-critical software, analytics, and AI to life with its unified DataOps platform, Astro, powered by Apache Airflow. Trusted by more than 800 enterprises, the company fosters a diverse and inclusive culture as an equal opportunity employer.
Lead the technical vision and roadmap for the ML platform.
Partner with Product and Engineering leadership to align investments.
Establish MLOps practices and optimize large-scale model training and serving.
The hiring company builds machine learning platforms and MLOps solutions for large-scale AI development. It offers a collaborative and specialized environment with a focus on technical excellence and innovation.
Develop and deliver cutting-edge agentic AI solutions using Cohere's foundation models and Agentic AI Foundry.
Architect scalable, secure, and customizable NLP and generative AI solutions for enterprise customers.
Collaborate with customers to understand complex workflows, design pilots, and translate business requirements into technical solutions.
Cohere is the leading security-first enterprise AI company building cutting-edge foundation AI models and end-to-end products. We are a global team of researchers, engineers, and designers passionate about our craft, headquartered in Toronto with offices worldwide.
Develop tools and automate manual processes to improve operational efficiency and accelerate experimentation.
Build, integrate, and monitor end-to-end lifecycles of large-scale distributed machine learning systems.
Enhance ML pipelines for forecasting platforms with automated retraining and deployment.
Apella applies computer vision and machine learning to improve the standard of care in surgery. They are a remote-first startup focused on building reliable ML solutions for healthcare.
Design and build self-service platform capabilities for engineering teams.
Develop and maintain global hybrid infrastructure across bare-metal, Linux, and Kubernetes.
Automate operational tasks and improve observability and reliability.
The partner company builds globally distributed infrastructure and platform capabilities. It is a small, highly autonomous team with a strong focus on reliability and developer experience.
Design, build, deploy, and maintain scalable machine learning and AI systems in GCP to solve complex business problems and create new value.
Partner across teams to understand problem definitions, data needs, and solution approaches, and support model deployment with MLOps practices.
Take ownership of production issues, perform root cause analysis, and improve documentation and quality assurance processes for ML systems.
General Mills makes food the world loves, operating across 100+ markets. As a large company, it prioritizes being a force for good and fosters a culture of bold thinking and big hearts, where employees challenge each other and grow together.
Deploy and commission GPU cloud infrastructure across regional and core datacenters, covering hardware, networking, storage, and platform software.
Act as a hands-on technical escalation point, troubleshooting complex issues across physical and software layers and driving incidents to resolution.
Establish deployment standards, validation procedures, documentation, and operational practices for a rapidly evolving AI infrastructure environment.
The company builds and operates cutting-edge GPU cloud and AI infrastructure at significant scale. It is a fast-growing international scale-up with a diverse and flexible working environment.
Design, build, and operate Kubernetes infrastructure for AI workloads using Terraform and GitOps.
Define SLOs, run incident response, and create runbooks for reliable AI platform operations.
Drive AI-specific observability, FinOps, and security practices across the platform.
We are an AI-native consulting partner working with clients like PayPal, adidas, and NatWest to build digital products and services. Our team of over 600 has scaled quickly, earning Great Place to Work-Certified status multiple years in a row.