Remote Devops Jobs · Kubernetes

Be responsible for Insider’s technological well-being and have a lasting and profound effect on the Automation Test life cycle. You will configure the CI/CD pipeline by creating scripts, writing and setting up tasks for optimized process of automation tests running in several environments. You will also develop internal solutions and apply best practices to further improve and automate testing processes.

Design, build, and operate the systems that power Gensyn’s decentralised compute network. This role ensures our mainnet and supporting infrastructure are reliable, observable, and ready to scale. The candidate will own reliability, observability, and automation for Gensyn’s decentralised compute network and manage infrastructure provisioning and lifecycle automation.

Play a pivotal role in shaping the future of our infrastructure and engineering culture, building and leading one of our DevOps teams from the ground, assembling top talent and defining the standards, processes, and tools that will drive our success. Your mission will be to scale infrastructure, accelerate time to market, and ensure our systems operate securely, reliably, and efficiently. Shaping the DevOps/SRE culture & standards, introducing best practices and long-term improvement plans for automation, scalability and reliability.

As a Senior DevOps Engineer, you’ll accelerate the development team using your talents to empower your fellow teammates. You will play a critical role in designing, implementing, and maintaining scalable, secure, and efficient infrastructure solutions. This role requires a deep understanding of DevOps principles, automation, CI/CD pipelines, and cloud-native architectures, as well as a proven ability to collaborate across teams.

We are looking for our next Senior DevOps Engineer to passionately contribute with infrastructure-as-code, accelerating development and deployment processes, increasing reliability, and scaling our platform as our company grows. This is an on-call position and will require you to be part of an on-call schedule. We will also occasionally require you to work outside of normal business hours on infrastructure upgrades and maintenance.

Looking for an experienced MLOps Engineer to build and scale machine learning solutions that address critical challenges in the healthcare revenue cycle. Focus on operationalizing ML models, ensuring deployment pipelines, and maintaining scalable, secure, and ML infrastructure on AWS, collaborate with data scientists, software engineers, and product teams to bring ML products from prototype to production, with a emphasis on automation, monitoring, and continuous improvement.

The Senior Site Reliability Engineer role within the Cloud Compute team is pivotal in ensuring the robust and scalable foundation of Affirm's platform. This role manages all of Affirm's Kubernetes clusters. The mission is to provide a highly reliable and available cloud environment that empowers all of Affirm's engineering teams to build and deploy innovative solutions seamlessly. The engineer will drive initiatives to enhance observability capabilities, fortify the reliability of critical infrastructure, and automate key operational workflows.

As a Site Reliability Engineer at Axiom, you will be pivotal in upholding our promise of superior reliability and performance to our customers. Collaborating with backend engineers and product teams, you will emphasize creating and operating scalable and reliable systems. Axiom's emphasis on SREs revolves around automating, measuring, and continuously improving the reliability and efficiency of our systems.

Architect and scale observability systems by leading the design and evolution of logging, metrics, and tracing pipelines to handle massive data volumes. Evaluate and integrate new technologies that enhance Airtable’s observability posture. Guide and mentor a growing team of infrastructure engineers and partner with teams to embed observability deeply into Airtable’s development lifecycle.

As the Senior Site Reliability Engineer, you will lead Branch’s effort to achieve greater reliability, scalability, capacity and observability of our platform through automation and tooling. You will also participate in and improve the software development and deployment life cycles as well as develop and implement technical best practices.