Orcrist builds the Orcrist Intelligence Platform (OIP), a Kubernetes-based data intelligence system delivered as SaaS or self-hosted/on-prem. They fuse streaming, batch, and ML workloads with a modern web application to support defense, law-enforcement, and enterprise missions.
Design and implement AI inference and model training cloud products optimized for Kubernetes.
Write clean, efficient, and maintainable Go code to power Kubernetes controllers, operators, and custom resources supporting AI workloads.
Build APIs, CLIs, and developer tools that simplify the deployment, lifecycle management, and monitoring of AI applications.
Gcore provides infrastructure and software solutions for AI, cloud, network, and security, powering everything from real-time communication and streaming to enterprise AI and secure web applications. With 210+ edge locations, 50+ cloud regions, and thousands of GPUs, Gcore has a global team of 550+ professionals.
Contribute to the development of the Everywhere Inference platform, a Kubernetes-based solution.
Design and implement APIs and developer tools to simplify deployment, management, and monitoring of AI applications.
Focus on packaging and integrating new ML models into the platform, using Python and common ML frameworks.
Gcore provides infrastructure and software solutions for AI, cloud, network, and security. They power everything from real-time communication and streaming to enterprise AI and secure web applications, with over 550 professionals globally and partnerships with technology leaders.
Manage a distributed team of engineers and its MLOps/Analytics portfolio
Conduct one-on-one meetings with team members
Mentor and grow your direct reports, helping them achieve their professional goals
Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, the platform for AI, IoT and the cloud, they are changing the world on a daily basis. Canonical has been a remote-first company since 2004.
Designing, building, serving, and monitoring cloud-based microservice architectures.
Taking ownership of the entire development cycle, from architecture design through implementation, testing, and ongoing maintenance.
Delivering fully functional features and products, designed with a Domain-Driven mindset, thoroughly tested, and aligned with user requirements.
Software Mind develops solutions that make an impact for companies around the globe. They are building cross-functional engineering teams that take ownership and crave more, embracing openness, acting with respect, showing grit & guts and combining employment with enjoyment.
Take an active role in influencing our roadmap and your own career objectives
Work with your team to deliver new features, then use the results to iterate and improve.
Drive projects from initial idea all the way to operations once it is in the hands of customers
Grafana Labs is a remote-first, open-source powerhouse with over 20M Grafana users globally. With a global collaborative culture, Grafana Labs fosters transparency, autonomy, and trust in an innovation-driven environment.
Own model serving: Design, build, and maintain low-latency, highly-available serving stacks for in-house ML model serving and integrating with LLM serving partners.
Automate training pipelines: Orchestrate data prep, training, evaluation, and registry workflows on Kubernetes with solid MLOps practices.
Optimize at scale: Profile and tune throughput, memory, and cost; introduce caching, sharding, batching, and GPU/CPU autoscaling where it pays off.
Cresta aims to turn every customer conversation into a competitive advantage by unlocking the true potential of the contact center. Their platform combines AI and human intelligence to help contact centers discover customer insights and automate conversations.
Design and develop modernized Contact Center as a service Messaging and AI products that push the boundaries of what's possible
Lead and mentor engineering teams, setting technical direction and best practices
Integrate and various solutions including Voice applications, platform SDK, LLM based AI solutions and services as required in the Product
LivePerson is a leader in trusted enterprise conversational AI and digital transformation. They power nearly a billion conversational interactions every month, providing uniquely rich data analytics and safety tools to unlock the power of conversational AI for better business outcomes.
Design, develop, and maintain high-performance, scalable, and secure backend services, primarily using Python and frameworks like FastAPI
Translate ambiguous business and technical requirements into concrete software designs and actionable tasks for cross-functional teams
Operate and maintain production applications at scale, ensuring high availability, performance, and reliability
SmartAsset is an online destination for consumer-focused financial information and advice, whose mission is helping people make smart financial decisions, reaching over an estimated 59 million people each month. Valued at over $1 billion, SmartAsset has earned recognition on the Inc. 5000 and Deloitte Technology Fast 500 lists.
Build and improve our core platform backend using Java (Micronaut).
Create seamless user experiences with responsive frontends using Vue.js and Bootstrap.
Expand our plugin ecosystem and maintain our suite of integrations (Java).
Kestra is on a mission to make orchestration and automation simpler for everyone. They are an open-source platform helping teams manage complex workflows, and they are already making a big impact in businesses around the world.