Mattermost is seeking a Senior DevOps Engineer to join the Site Reliability Engineering (SRE) team within Platform Engineering to revolutionize testing infrastructure automation and enable developer productivity, faster product launches, and exceptional customer experiences. This role is pivotal to Mattermost’s mission of delivering secure, scalable, and reliable collaboration solutions.

As an Enterprise Infrastructure Engineer focused on engineering and automation, you will build and maintain the internal technology ecosystem that underpins Gemini’s global operations by automating repetitive tasks and engineering innovative solutions to manage and scale our infrastructure.

The Cloud Engineer will design and implement secure, scalable cloud solutions to modernize VA corporate IT systems. This role requires a collaborative, solution-oriented individual to join our team, working on legacy applications and DevSecOps-driven initiatives.

As a Senior Site Reliability Engineer, you will build, deploy, and support systems that execute millions of trades on CeFi and DeFi venues across the globe, implement solutions that enhance security, resilience, and performance, and participate in an on-call roster to support trading operations.

Design, implement and maintain staking infrastructure. Collaborate with the economics team to identify and analyse staking opportunities. Collaborate with blockchain engineers to integrate smart contracts and SDKs for interacting with protocol. Write clean, maintainable code and perform code reviews and stay up-to-date with the latest trends in DeFi and blockchain technologies.

Drive the evolution of Enable’s cloud-native platform, ensuring scalability, reliability, and efficiency across all aspects of our SaaS infrastructure. Focus on architecting and optimizing our platform for high-performance distributed systems while also enabling machine learning (MLOps) capabilities for AI-driven applications. Collaborate across teams to develop best-in-class platform solutions that support product engineering, data engineering, and AI/ML teams.

Responsible for leading the teams that manage and support all of our hosting services, including colocated hardware and cloud-based services, as well as defining and operating the processes for change management, financial management and incident response.

As a Software Engineer, you’ll work in an agile team to develop and maintain our CI/CD pipeline, build and integrate solutions for task automation, and onboard services and products. You'll contribute to building, testing, operating, and monitoring our cloud-based products and services, focusing on system functionality and operational aspects.

As a Staff SRE specializing in ML infrastructure, the primary responsibility is designing, developing, maintaining, and scaling the foundational infrastructure that enables Wikimedia's Machine Learning Engineers and Researchers to efficiently train, deploy, and monitor machine learning models in production.

Serve as the technical authority for Windows and Linux operating systems hosted on AWS virtual machines, with a focus on advanced cloud architecture, security, and automation. Architect scalable solutions, oversee OS patching and AWS strategies and resolve complex incidents. Drive performance optimization and implement cutting-edge security measures.