Join a growing team as a Senior AWS Developer. The ideal candidate will have extensive experience designing, developing, and managing cloud-based solutions on Amazon Web Services (AWS). This role demands hands-on experience with AWS AI/ML services, strong programming skills, and a solid understanding of cloud infrastructure and security best practices.
Job listings
The Solution Architect is a key role responsible for designing, implementing, and managing cloud-based solutions that meet the strategic and operational needs of an organization. This role involves working closely with clients, stakeholders, and cross-functional teams to create scalable and efficient cloud architectures leveraging cloud services and best practices.
Play a key role in building our Developer Experience team and owning critical infrastructure and services that support engineering across the organization. Define best practices, shape internal guidelines, and lead efforts to improve developer workflows, tooling, and system reliability. This role involves mentoring engineers, conducting code reviews, and delivering high-impact projects that power our core systems and servicesโultimately enabling faster, safer, and more scalable product development.
This position is in the IoT Digital team working on big data, data analytics, data sharing and IoT solution implementation projects. You will directly work with our customer from the energy solution industry, dedicated to decarbonization of industries. A key focus will be the development of the existing analytics environment.
Implementation and maintenance of scalable solutions following DevOps best practices in a leading Gaming industry company. Process automation using Terraform or AWS CloudFormation, enabling creation and management of AWS infrastructure and applications in an internal on-prem cluster. Building and maintaining CI/CD pipelines, automation of tests, deployments, and rollback strategies.
As a Platform engineer, MLOps, you will be critical to deploying and managing cutting-edge infrastructure crucial for AI/ML operations, and you will collaborate with AI/ML engineers and researchers to develop a robust CI/CD pipeline that supports safe and reproducible experiments. Your expertise will also extend to setting up and maintaining monitoring, logging, and alerting systems to oversee extensive training runs and client-facing APIs.
Be part of a dynamic team that is shaping the future of energy and technology. Build and maintain backend systems and data pipelines for AI-based software platforms, integrating SQL/NoSQL databases and collaborating with engineering teams to enhance performance. Design, deploy, and optimize cloud infrastructure on Google Cloud Platform, including Kubernetes clusters, virtual machines, and cost-effective scalable architecture.
As a Cloud Engineer III (CEIII) you will provide engineering and transformation expertise to modernize the environment, being responsible for solutions design of the modernization cloud environment. Working with a team to plan, review requirements, design, and develop the most optimal and secure cloud-based solutions. The engineer must stay current with best practices, industry standards, and make recommendations as needed.
As a Platform engineer, MLOps, you will be critical to deploying and managing cutting-edge infrastructure crucial for AI/ML operations, collaborating with AI/ML engineers and researchers to develop a robust CI/CD pipeline that supports safe and reproducible experiments. Your expertise will extend to setting up and maintaining monitoring, logging, and alerting systems to oversee extensive training runs and client-facing APIs. You will ensure that training environments are optimally available and efficiently managed across multiple clusters, enhancing our containerization and orchestration systems with advanced tools like Docker and Kubernetes.
Play a crucial role in managing and scaling our cloud-based systems. The ideal candidate will have a strong background in cloud infrastructure, automation, and continuous delivery. You will be responsible for ensuring the reliability, performance, and security of our cloud environments, with a particular focus on AWS .