Remote Devops Jobs • Git

Design and implement automated build, deployment, and infrastructure provisioning processes and develop, manage, and maintain CI/CD pipelines to streamline the software development lifecycle; you will also implement and maintain test automation frameworks and integrate them with CI/CD tools.

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.

You will join a team working with cutting-edge technologies and striving to utilize cloud services to the maximum. Your role will be to provide the necessary infrastructure using Terraform, develop CI/CD pipelines in GitLab or Jenkins, and create automations to support the development teams. As a senior engineer, you will also take ownership of specific domains or projects within the business, leading technical direction and ensuring alignment with strategic goals.

Jitterbit is seeking a software build/install engineer to join their Platform team to build a SaaS offering that is reliable, stable, and scalable for their customers. The ideal candidate will be responsible for designing, implementing, and maintaining robust build and deployment systems to ensure efficient software delivery. You will play a key role in enabling development teams by automating processes, managing software installations, and ensuring the reliability of build pipelines.

You are an innovative problem-solver driving automation and efficiency by developing cutting-edge CI/CD pipelines and streamlining systematic processes. You are curious to try out new technologies to constantly improve and expand our wide range of know-how. You will be part of our agile team that will take full operational responsibility for the services that you own.

Join our engineering team responsible for developing and operating the Secure Remote Access platform for DT Technik, enabling secure connections to DT Technik’s internal systems for suppliers, partners, and internal colleagues worldwide. You will play a key role in infrastructure development, ensure security compliance, and enable automation.

Evolve and maintain our platform to support current and future levels of scale and capabilities. Work closely with development teams, architects, and cloud engineers to engineer and deliver what matters. Champion platform security and compliance, mentoring in best practices, and overseeing adherence to standards. Display and foster a DevOps mindset; make it easy for teams to really own their products.

Get hands-on with the design, development, and optimization of scalable, secure, and reliable infrastructure and cloud-native applications. Ensure system reliability and performance through monitoring and observability practices. As part of a versatile and highly-motivated team, learn from other developers in different technology areas and contribute to an agile and international development team (Serbia & Germany).

As a Data Engineer, you will design, implement, and maintain robust data pipelines and cloud-native solutions that support scalable analytics and operational efficiency. This role requires deep expertise in Python programming, Azure cloud services, and SQL-based data modeling, with a strong emphasis on automation, reliability, and security.

We are seeking a skilled DevOps Engineer to Maintain & Evolve one of the largests cloud hosting platform which hosts ~1000 PHP deployments. You will be responsible for designing, implementing, maintaining, and optimizing our infrastructure and deployment processes.