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As a Platform Engineer, you'll design, build, and maintain delivery infrastructure and cloud systems, leading the adoption of modern technology platforms. You will work within product teams to deliver automation, tooling, and cloud infrastructure, with a focus on the Azure ecosystem for various clients.

As a Platform Engineer at BJSS, you will work on advanced technology solutions for clients using AWS, Terraform, Docker, Kubernetes, Python, Groovy, and Ruby. You will collaborate with multi-disciplinary teams and have the opportunity to learn and specialize in various engineering roles. BJSS provides a supportive environment for continuous learning and career growth.

The role involves designing, building, and maintaining AWS delivery infrastructures and processes. As a Platform Engineer, you'll work within product teams to deliver cloud solutions, automation, and tooling while ensuring the adoption of modern platforms. Significant experience in cloud environments, automation tools, and container orchestration is required.

Platform engineers design, build and maintain delivery infrastructure, systems, and processes underpinning technology transformation engagements. They lead the adoption of modern platforms and ways of working, working in small product teams alongside developers, architects, and product owners.

Lead and mentor teams on data projects, work with clients on data value extraction, advocate Agile methodologies, and drive business intelligence and machine learning capabilities.

As a Data Architect, you'll lead and mentor teams on complex data projects, implement solutions across data warehousing and cloud, advocate for DataOps culture, and engage with stakeholders to deliver high-quality, innovative data solutions.

Lead, mentor, and work on exciting data projects using cutting-edge technologies to help clients unlock their data potential. Interface with customers to provide technical expertise and lead delivery teams in crafting innovative solutions. Advocate Agile methodologies and constant delivery of business value in both on-premise and cloud environments. Bring wide experience in data platforms, data modeling, cloud services, security, and privacy. Champion quality, innovation, and customer success in the data ecosystem.