Top DevOps Jobs

As a Senior Go Platform Developer at Bloomreach, you will develop and manage the Garuda platform, utilizing technologies like Go and Terraform, while working with Kubernetes and AWS. Your responsibilities include handling networking complexities, CI pipelines, and collaborating within an agile team to enhance the platform's capabilities.

As a full-stack Software Engineer at Amenities, you will build and improve the digital front door, a mobile and web app for healthcare. Collaboration with engineers, product managers, and designers is essential. Responsibilities include developing new features, ensuring quality through automated tests, and possibly backend API development.

As a Senior Golang Engineer at Offchain Labs, you will contribute to blockchain innovations, focusing on Ethereum development and enhancing product efficiency. Your role involves problem-solving, collaboration, and proactive experimentation in a team dedicated to decentralized technology.

As a Full Stack Engineer at Givzey, you will take ownership of end-to-end technology projects, develop backend APIs, write frontend code, and oversee improvements for deployed features while collaborating with stakeholders to solve technical issues.

The Process Engineer ll at Sublime Systems will be responsible for scaling up the cement manufacturing process, performing equipment trials, overseeing vendor collaborations, and contributing to the plant design and process improvements. Strong communication skills and a focus on safety are essential in this role.

The Visual Studio Developer will design, develop, and maintain in-house software systems within a Microsoft Visual Studio environment, supporting ERP systems and other departments. Responsibilities include coding, user support, documentation, and project improvement planning. The role requires strong technical skills and the ability to collaborate within teams.

The ML Research Engineer will develop and implement advanced AI solutions focusing on LLMs, computer vision, and generative AI. Responsibilities include conducting independent research, optimizing training pipelines, model deployment in constrained environments, and collaborating with teams to translate research into practical applications.