Be crucial in accelerating efforts to build standalone data products that enable data teams and independent developers to create innovative solutions at massive scale. Work with a team, defining tools and infrastructure that facilitate big data processing, primarily within AWS. Manage and improve our growing AWS and data center infrastructures. Design, implement, and maintain a CI/CD pipeline to improve developer workflows.
The Manager, DevOps at Perforce is searching for a DevOps Engineer to design and build the next-generation cloud platform for Perforce’s SaaS product portfolio to ensure the security, reliability, and high availability of all our production & CI/CD environments and applications. In this vital role, you will drive contribute to the design, development, & Implementation of automated tools and technologies to enable efficient delivery.
Build and maintain the critical infrastructure that powers advanced unmanned aerial systems. You'll work at the intersection of software development and operations, ensuring engineering teams have the tools, pipelines, and cloud infrastructure needed to rapidly develop, test, and deploy software that flies on our platforms. This role is essential to maintaining the competitive edge in delivering cutting-edge autonomous systems to support national security missions.
Design, implement, and maintain robust, containerized, and reproducible pipelines for model training, evaluation, and deployment—across both batch and real-time settings. Build and manage ML services, APIs, and model serving infrastructure using tools like MLflow, Amazon SageMaker, and Feature Store. You will set up and maintain monitoring, observability, and alerting systems to ensure high availability and performance, and continuously evaluate emerging MLOps technologies to improve efficiency, scalability, and reliability.
Jito Labs is looking for an experienced DevOps / Infrastructure Engineer to take end-to-end ownership of our deployment, reliability, and systems automation stack. You will lead by example, drive infrastructure standards, and build an engineering culture where reliability, automation, and repeatability are the default. You will work closely with engineering leadership across teams to build a production-grade CI/CD pipeline, improve release safety, eliminate manual ops, and partner with security to move the company toward enterprise-ready maturity.
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.
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.
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.
Solve unique, challenging problems for our Defense and Homeland Security customers. Help manage large volumes of critical, real-time information about issues from global to local. Evolving and sustaining the Continuous Integration / Continuous Delivery (CI/CD) Infrastructure for our DOD customer and developing Infrastructure as Code with tools such as Ansible, Powershell Desired State Configuration (DSC) and Terraform to solve deployment problems for diverse environments.