Machine Learning Engineer

Job Description

As a Senior Software Engineer you will write and maintain Cloud Native Applications, following solid principles of software engineering for developing reliable and scalable applications and solutions. You will report to the Technical Director and your team will partner with internal organizations for delivering and maintaining data related products using a variety of products and technologies.

Responsibilities:
• Lead in the technical design and implementation of scalable solutions for testing, deployment and monitoring of data related products and systems.
• Produce technical designs with hands-on development of cloud-native data solutions, with a focus on continuous improvement in delivery standards; understanding and contributing from design through to implementation and release
• Partner with Technical Director and Data Solutions Architect to understand requirements, evaluate options, develop roadmaps and ensure needs are addressed in a complex, multi-partner environment
• Mentor cloud engineers in the techniques and craft of building scalable and supportable cloud applications
• Implement and manage the Software Lifecycle through Continuous Integration and Continuous Delivery Pipelines with tools such as Gitlab (CI/CD)
• Implement Test Automation, including data quality monitoring and testing frameworks at scale
• Assess and enhance application security and data privacy compliance

Qualifications:
• Well-versed in cloud applications, principles, and practices with a minimum of 10 years of related experience.
• Prior experience in Release Orchestration & Automation, Source Code & Build Management, Code Quality & Security Management, Test Driven Development, Continuous Integration, Continuous Delivery, Continuous Deployment, Operational Monitoring
• Well-versed and experience in at least one of AWS, Azure, or Google Cloud
• Expertise with containerized technologies and container orchestration frameworks, for example Docker and Kubernetes, and their offerings on AWS, Google Cloud Platform, and Azure
• You have experience with containerized CI/CD pipelines, and creating reproducible builds from development to production
• Programming experience in either Python, Java. C# or Scala
• Experience using and configuring systems like Gitlab, Jenkins, Buildkite, Spinnaker, or other CI/CD tools
• Experience optimizing cloud-native solutions and architectures

Jobcode: Reference SBJ-gq9vmz-18-220-137-164-42 in your application.