Design and own the playbook for AI productization, governance, and reusable internal tooling.
Champion AI-assisted development, TDD, and modern CI/CD practices across the organization.
Act as the primary technical authority bridging AI/ML architecture and executive strategy.
RYZ Labs is a startup studio that creates industry-defining companies by leveraging top talent and cutting-edge cloud technologies. Founded in 2021, we have a remote team across the US and Latam, with a culture of autonomy, ownership, and continuous improvement.
Take full ownership of the company's platform and infrastructure function, defining and executing the platform engineering strategy in partnership with the CTO.
Lead, mentor, and develop an established team of three DevOps Engineers and one SRE, setting clear responsibilities and development plans.
Own platform-related budgeting, cloud spend optimization, and technology decisions to improve reliability, security, and developer productivity.
Our client is a remote-first digital product company building and scaling SaaS products, AI-powered solutions, and web and mobile applications for global markets. The company operates across more than 20 countries with approximately 40–50 engineers supporting a portfolio of around 15 digital products.
Lead projects with complete autonomy, planning ahead and thinking globally for the company's benefit.
Contribute to operation and deployment of all Dashboard Platform features using Kubernetes, Terraform, and AWS.
Share knowledge on software engineering, testing, and deployment best practices to enhance developer experience.
Algolia is a pioneer and market leader in AI Search, empowering 17,000+ businesses to deliver fast, predictive search and browse experiences. We have raised $150 million in Series D funding, value at $2.25 billion, and foster a high-trust, flexible workplace culture.
Lead the engineering of a large-scale generative AI platform for enterprise environments.
Architect, build, and operate AI infrastructure with cloud-native technologies.
Implement governance, security, and cost management for AI workloads.
This partner company builds AI infrastructure for enterprise environments. The team is global and collaborative, offering a flexible work model and career development support.
Design and develop a highly available, scalable, and secure ClickHouse Cloud platform for regulated environments.
Build innovative deployment automation across cloud, hybrid, and on-prem systems, including disconnected environments.
Collaborate with Security, Dataplane, and Infrastructure teams to ensure compliance with NIST and FedRAMP frameworks.
ClickHouse is a fast-growing private cloud company offering real-time analytics, data warehousing, observability, and AI workloads. With over 3,000 customers and a $400M Series D, the company fosters a culture of innovation and collaboration.
Own cloud infrastructure across AWS and GCP, including Kubernetes, networking, databases, and CI/CD pipelines.
Scale single-tenant deployments and build observability, incident response, and compliance practices.
Manage infrastructure cost, improve developer experience, and contribute to backend systems at the infrastructure-application intersection.
Elicit is an AI research assistant that uses language models to help researchers with literature review and evidence synthesis. The company is a ~30-person Public Benefit Corporation with a high-agency, low-bureaucracy culture.
Design and operate a scalable, resilient ingress data plane that directly impacts customer value.
Leverage advanced automation and infrastructure-as-code to accelerate development speed across a massive fleet.
Collaborate with Product, Design, and partner platform teams to champion initiatives that break down silos and foster cross-team excellence.
New Relic provides an intelligent observability platform that helps companies optimize their digital applications. They are a global team of innovators focused on shaping the future of observability, with a culture of diversity and inclusion.
Build and maintain production-grade automation using Ansible, Terraform, and Go.
Engage deeply with Kubernetes internals, including scheduler, kubelet, controllers, and CRDs.
Harden platform infrastructure through security best practices like vulnerability scanning, container image signing, and admission controllers.
Vultr makes high-performance cloud infrastructure easy to use, affordable, and locally accessible for enterprises and AI innovators. It is the world's largest privately-held cloud infrastructure company, trusted by hundreds of thousands of customers across 185 countries.
Design and build the company's AI-first platform architecture.
Develop agent-based systems, orchestration layers, and inference pipelines.
Build scalable data ingestion, transformation, and feature engineering pipelines.
Our client is an early-stage healthcare AI company leveraging AI, data science, and clinical expertise to generate actionable insights from health data. The small team works alongside experienced founders and world-class advisors, building an AI-native platform from scratch.
Design, build, deploy, and maintain production LLM-based solutions and agent workflows.
Lead high-complexity, cross-functional AI initiatives from ambiguous problem definition through production adoption.
Partner with Cybersecurity and Compliance to design PHI-safe data handling patterns and ensure AI solutions align with relevant controls.
Included Health is a healthcare company delivering integrated virtual care and navigation, breaking down barriers to provide high-quality care for every person. They have a remote-first culture and are an Equal Opportunity Employer.