As a Machine Learning Operations Engineer at Field AI, you will play a pivotal role in ensuring the scalability, efficiency, and reliability of our machine learning systems. You will manage and utilize data to optimize the performance of robots and drive innovation across industries, bridging the gap between machine learning models and production systems. This role offers the opportunity to work with cutting-edge technologies, solve complex problems, and contribute to the success of large-scale, real-time data systems.
Job listings
Seeking an experienced Senior DevSecOps Engineer to support a federal modernization effort focused on transforming legacy systems into secure, scalable, and resilient cloud-native architectures. This role is integral to advancing enterprise DevSecOps maturity and enhancing cloud-based infrastructure reliability across hybrid environments using AWS. The ideal candidate will possess deep expertise in infrastructure-as-code (IaC), CI/CD pipelines, container orchestration, and AWS service architecture.
Agile Six is looking for a DevOps Engineer to join a newly formed team to design and implement infrastructure-as-code, container orchestration, and deployment automations that power critical services, crafting cloud-native build, test, and release workflows that support goals for CI/CD automation, infrastructure, deployments, and security/compliance.
Join a small team using cutting edge technology and tools to build and support infrastructure for our diverse environment including customer facing applications, large scale data processing, and APIs. Automate and standardize deployments and maintenance across multiple infrastructure environments. Maintain Infrastructure as Code automation and expand the coverage of IAC throughout our systems.
Weβre hiring a Staff Software Engineer, Site Reliability to lead reliability across our production platform. As a Staffβlevel Individual contributor, you will drive strategy and handsβon execution across incident response, SLO/SLI programs, and production readiness, directly owning highly available services in AWS; all while partnering with Platform/Infra to build pavedβroad tooling in our monorepo.
As a Senior DevOps Engineer, youβll take technical ownership of our cloud infrastructure and DevOps practices. Youβll help us design resilient systems, scale infrastructure, mentor engineers, and collaborate across product, platform, and security teams. You will build, operate, and maintain our infrastructure, CI/CD, observability, and automation within the DevOps function.
Join the Data Infrastructure team and play a pivotal role in upholding the reliability, scalability, and efficiency of our robust Data platform as a Senior Site Reliability Engineer. Collaborate closely with diverse cross-functional teams to oversee the foundational data infrastructure that empowers our array of applications and services. Implement data infrastructure solutions, utilize Infrastructure as Code principles, and maintain CI/CD pipelines.
Design, develop, and maintain backend services using Java (Spring Framework). Implement and operate solutions in Google Cloud Platform (GCP) with a focus on scalability and performance. Build and maintain Kubernetes-based (GKE) high-availability services. Work with relational databases (PostgreSQL preferred). Apply CI/CD, OOP, SOLID principles and best coding practices to deliver clean, testable code.
As a Senior Cloud Platform Engineer, you'll be deep in Prolific's technical foundation, ensuring our infrastructure remains scalable, reliable, and ready for growth. You will implement automation strategies that reduce complexity, champion best practices, and serve as a trusted technical expert to teams across Prolific.
You will play a critical role in ensuring the seamless deployment, integration, and maintenance of software systems and services. You will be responsible for implementing zero-downtime deployment strategies, integrating various software components, and maintaining system stability for optimal performance. You will work closely with cross-functional teams, fostering a unified approach to software and infrastructure development.