Owns and engineers CI/CD pipeline infrastructure, release automation, and AI-augmented pipeline engineering across the Engineering organization.
Builds automated artifact promotion workflows with multi-environment gate logic, rollback capabilities, and integration with tools like Flyway and LaunchDarkly.
Tracks DORA metrics, instruments pipeline observability, and continuously improves release automation to minimize manual intervention.
Origami Risk delivers single-platform SaaS solutions that help organizations navigate risk, insurance, compliance, and safety management. Founded by industry veterans, the company is an equal opportunity employer committed to diversity and inclusion.
Design, build, and maintain AWS infrastructure including networking, IAM, compute, storage, and security.
Own Infrastructure as Code strategy using Pulumi and build reusable components to eliminate manual changes.
Build and maintain CI/CD pipelines and AI infrastructure for LLM workflows on Amazon Bedrock and SageMaker.
Givzey is a fast-growing technology company serving the nonprofit sector, on a mission to unlock more generosity through AI-powered donor engagement. In just three years, the platform has helped organizations raise $10M+ and is known for its innovative, mission-driven culture.
Deploy and operate Linux-based infrastructure for the Edge Cloud platform.
Build and automate infrastructure provisioning and lifecycle management.
Troubleshoot complex issues across compute, networking, virtualization, and storage layers.
Gcore provides infrastructure and software solutions for AI, cloud, network, and security, powering digital experiences globally. With over 550 professionals and partnerships with Intel, NVIDIA, Dell, and Equinix, the company operates 210+ edge locations and 50+ cloud regions, fostering a collaborative and innovative culture.
Design and manage scalable, secure cloud infrastructure on AWS using Terraform and CI/CD pipelines.
Implement containerization with Docker and Kubernetes for reliable software delivery across environments.
Ensure platform reliability and security through monitoring, logging, and compliance best practices.
Coderio designs and delivers scalable digital solutions for global companies, combining strong technical expertise with a product mindset to lead complex software initiatives end-to-end. They work with international clients, value autonomy and clear communication, and build long-term partnerships through technical excellence.
Design, build, and automate enterprise-grade AWS SageMaker environments to support scalable machine learning initiatives.
Develop and implement DevOps automation for SageMaker Unified Studio and related cloud infrastructure.
Build and optimize CI/CD pipelines for deploying custom Docker images, kernels, and machine learning workloads.
This role is listed on behalf of a partner company that builds and optimizes enterprise-scale machine learning infrastructure. They operate with a collaborative international team and modern engineering practices.
Ensure availability, scalability, and resilience of AWS cloud environments.
Design, implement, and maintain CI/CD pipelines with infrastructure as code.
Collaborate with teams to drive automation and platform reliability.
Jobgether uses an AI-powered matching process to connect candidates with hiring companies. They process personal data per GDPR and may use AI tools in hiring.
Design and maintain scalable ML infrastructure including data pipelines, training workflows, and model deployment systems.
Own end-to-end ML lifecycle operations, ensuring reliable delivery of models into production at scale.
Implement monitoring, telemetry, and feedback loops for ML models running across large-scale device fleets.
Our partner company develops ML systems for connected hardware products used by customers worldwide. They operate in a fast-paced, product-driven environment with a collaborative and technically ambitious culture focused on real-world ML impact.
Collaborate with data scientists and software engineers to build scalable data pipelines and ML deployment systems.
Troubleshoot issues across the ML infrastructure stack, from Linux and Docker to Kubernetes and model serving.
Drive high engineering standards through code reviews, testing, and CI/CD enhancements.
Quillbot helps students and professionals strengthen their writing with AI-powered tools. We serve over 56 million users globally and foster a collaborative, virtual-first culture.
Collaborate with data scientists and engineers to build scalable ML pipelines, troubleshoot infrastructure issues from Linux to Kubernetes, and optimize model performance.
Drive high engineering standards, design on-premises MLOps solutions, and maintain tools for deployment and monitoring.
Refine CI/CD workflows, incorporate ML model training and evaluation into testing, and ensure seamless handover between research and production.
Learneo is a platform of builder-driven businesses, including Course Hero, CliffsNotes, LitCharts, Quillbot, Symbolab, and Scribbr, focused on supercharging productivity and learning. The company supports high-growth businesses with centralized corporate operations and has a virtual-first culture with employees across multiple countries.
Design and maintain scalable, reliable infrastructure using AWS services like ECS and RDS
Build and manage infrastructure as code with Terraform, and optimize CI/CD pipelines for secure software delivery
Improve system observability using Datadog, Sentry, and Coralogix, and enable a seamless developer experience
Fullscript provides a platform for healthcare practitioners to prescribe and manage supplements and lab tests for patients. They serve over 125,000 practitioners and 10 million patients across North America, with a mission to help people get better.