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Build and operate agentic automation for live-service games, modernizing cloud infrastructure with AWS, containers, and IaC while ensuring uptime and reliability for millions of players.
Build and maintain Lush’s global digital infrastructure using Terraform, Kubernetes, and GitLab CI/CD to ensure reliable, secure, and scalable deployments.
Lead reliability engineering for Okta’s Federal SRE team, designing and operating secure, scalable cloud services for government customers using Kubernetes, Terraform, and Go/Python.
About the Company If you want to build, develop, and see your impact, join Skillz and level up your Career! Skillz, the first publicly-traded mobile eSports platform that hosts billions of casual mobile gaming…
Leads a global Site Reliability Engineering team to design, scale, and secure Skillz’s mobile eSports platform infrastructure, ensuring high availability, cost efficiency, and compliance in a regulated real-money gaming environment.
Design and operate Upstart’s shared cloud infrastructure, including Kubernetes (EKS), AWS networking, and GitOps tooling, to keep the AI lending platform reliable, secure, and cost-efficient.
Hands-on Platform/SRE engineer writing Go and Python to build and automate multi-tenant cloud infrastructure (Kubernetes, Terraform, AWS/GCP) for a data security vault product, with on-call and incident-response ownership aligned to PST hours.
Skyflow is seeking a Platform Engineer to build and maintain secure, scalable infrastructure for their AI data control layer. The role involves writing Go and Python to automate multi-cloud deployments, managing Kubernetes environments, and driving operational excellence through incident response and self-service tooling.
Build and scale the Kubernetes-based infrastructure that powers Polymarket’s high-volume prediction market platform, focusing on reliability, automation, and observability.
Deploys and operates secure, open-source data platforms for U.S. Department of Defense missions, integrating with legacy systems and ensuring compliance with strict security requirements.
This DevOps Engineer role involves managing and optimizing hybrid Kubernetes platforms across on-premise and cloud environments while integrating AI agent automation into development workflows. The position is a temporary B2B/freelance contract requiring high autonomy in infrastructure management, GitOps implementation, and CI/CD pipeline maintenance.
DevOps engineer maintains and evolves a hybrid Kubernetes platform across on-premise, AWS EKS, and Azure AKS, automating deployments with GitOps and AI-assisted tooling while improving observability and security.
En Logicalis Spain buscamos incorporar un/a DevOps Engineer para formar parte de nuestro pool de servicios gestionados, participando en la operación, evolución y automatización de plataformas críticas basadas en…
Build and maintain Python-based backend services using Django and FastAPI, integrate LLMs and GenAI, and deploy on cloud and Kubernetes for scalable data platforms.
The Senior Backend Engineer will develop and maintain high-traffic identity and authentication services for Zepz's cross-border payment platforms using Java and the Spring ecosystem. This role involves working in a cross-functional team to manage user onboarding, KYC, and account security while actively utilizing AI tools to improve productivity and system design.
The Senior Software Engineer will work in a full-stack capacity within the Delivery Experience squad to build and maintain scalable services for order tracking and carrier coordination. The role involves transitioning from a monolith to a distributed architecture using Python, Golang, and VueJS in a hybrid environment.
On-site engineer embedded with enterprise clients to deploy, customize, and integrate an AI-powered knowledge management platform using TypeScript, Python, and Kubernetes.
Senior AWS DevOps engineer designs, deploys, and maintains cloud infrastructure and CI/CD pipelines on AWS and Kubernetes to enable fast, reliable software delivery for enterprise clients.
Lead the product vision and roadmap for a developer platform that simplifies cloud deployments and operations, working closely with engineering teams to shape scalable, intuitive tools for application deployment and observability.
Lead the design and build of internal data-platform tools, Airflow-based pipelines, and AI-driven developer workflows using Python, GCP, and modern DevOps practices.
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