Remote Devops Jobs · Azure

Empower people to achieve more with less friction. The platform simplifies complexity and the same principle drives how their systems are built and operated. Looking for a Staff Site Reliability Engineer who thrives at the intersection of infrastructure, automation, and AI-first thinking to design infrastructure that scales effortlessly, adapts intelligently, and makes everyone’s job easier.

Looking for a skilled individual to join Bluelight's rapidly growing team. This position is ideal for someone who thrives in a fast-paced, dynamic environment where everyone's opinions and efforts are valued and appreciated. You will have the opportunity to contribute to challenging and meaningful projects, developing high-quality applications that stand out in the market.

Lead the strategy, delivery, and operational excellence of enterprise platform engineering capabilities and drive innovation and scalability across cloud-native platforms and data ecosystems that enable digital transformation. This position involves overseeing platform architecture, engineering practices, vendor partnerships, and cross-functional collaboration to ensure platforms are secure, efficient, and aligned with long-term strategic goals.

We are searching for an engineer focused on our DevOps, infrastructure, reliability, and tooling. This is a DevOps position, you'll be part of a team focused on building and maintaining an enterprise-level, cloud infrastructure for microservices, and cloud-native applications running on Kubernetes. The person who joins our team will be encouraged and empowered to influence new solutions that will keep our technology running smoothly.

The DevOps Engineer is a critical role responsible for building, automating, and managing the university's modern data platform. They will partner directly with data scientists and engineers to create a scalable, reliable, and secure environment, enabling the rapid development and deployment of analytics and machine learning models. This role owns CI/CD processes, using GitHub Actions and responsible for establishing and scaling Infrastructure as Code practices.

As an Machine Learning Engineer focusing on MLOps you will play a pivotal role in operationalising our ML models, ensuring they are scalable, reliable, and easy to monitor; you'll build feature stores for model development, facilitate model refit/retrain iterations, enhance model deployment (CI/CD) pipeline, as well as strengthen model monitoring, working in a small team of Data Scientists and Data Engineers in APAC.

The platform engineering role requires strong software engineering fundamentals, knowledge of building and operating distributed systems and services. You’ll be contributing to creating and operating multiple high scale services that can be deployed seamlessly across any public cloud and managing substantial Kubernetes workloads that span across all major cloud providers and regions. You'll own the design and development of multiple features in the cloud control plane and platform.

Implement Infrastructure as Code (IaC) principles using tools like Terraform, Ansible, and similar, to automate the provisioning, configuration, and management of infrastructure resources. Utilize Kubernetes and other container orchestration platforms to automate deployment, scaling, and management of containerized applications and microservices. Develop tools and automate processes to increase efficiency and reduce toil for the developer.

Looking for an experienced Azure DevOps Engineer to join our team and help us design, build, and support a new e-commerce platform and applications for one of our clients. The ideal candidate will have a proven track record of implementing and automating continuous software integration & delivery for Azure cloud based solutions with enterprise-level organisations.

In this role, you will contribute to the strategic direction and execution of our cloud initiatives, ensuring the health and reliability of our production environments while driving transformational change. This includes managing production and non-production environments, implementing cloud strategies, and leveraging Infrastructure as Code practices to drive operational excellence. The role aims to enhance service delivery, support transformational change within the organization, and ensure compliance with service level agreements (SLAs) and data handling policies, contributing to improved operational efficiency.