Sr. Cloud Engineer

Data And Analytics Manager

The Data and Analytics team sits within CLIENT Enterprise Risk Management Technology group. We are responsible for establishing the Risk and Compliance Data Lake and associated Analytic Platform. The Analytic platform will support the deployment and management of Machine Learning models developed by our business partners. This role is to work with a multi-functional team of architects, developers, systems analysts and quality insurance associates. You will be responsible for providing technical leadership to both onshore and offshore software engineers to deliver the Analytics Platform using technologies from Amazon Web Services. The project is to establish pipelines and deployment infrastructure of Machine Learning models developed by our business partners (you do not need experience developing ML models). This will involve establishing the CI/CD pipeline and the infrastructure for end-to-end packaging of execution of containerized models on Kubernetes (AWS EKR) and Python/Spark models on Hadoop (AWS EMR). We will also be integrating with a Model Lifecycle product to monitor and manage the ML models. This is a role that requires good technical leadership, but also hands-on skills as you will build Proof of Concepts for the key components to be developed by the team.

The Expertise we’re looking for:

• Bachelor’s degree required. Computer Science, Information Systems or related field preferred.
• 10+ years of experience as a lead engineer responsible for complex application design and development and leading teams.
• Experience designing and developing CI/CD pipelines (Jenkins preferred).
• Experience implementing solution using one or more of the following capabilities: Kubernetes (EKS preferred), Hadoop (EMR preferred), Containerization (Docker), Unix scripting and message queuing/brokering (Kafka preferred).
• Certified AWS Solution Architect and/or DevOps Engineer preferred.
• Risk and Compliance experience preferred.
• Financial Services experience preferred.
• Experience with Machine Learning model deployment a plus.
• Experience with Model Development Life Cycle (MDLC) tools such as ModelOp a plus.

The Skills you bring:

• Experience designing and developing tools and solutions to deploy and execute containerized applications.
• Hands-on experience designing and deploying solutions in AWS including a deep understanding of core AWS offerings (IAM, S3, EC2, EKS, EMR and AWS CLI).
• Hands-on experience delivering CI/CD pipelines Jenkins, Git/Stash, Artifactory, Helm Charts
• SQL experience querying data from relational databases like Oracle and DB2.
• Proficiency with Python scripts, Shell scripting, Curl, Java, SQL, Hadoop, Control-m
• Demonstrable experience with Snowflake and no-sql database offerings like MongoDB is a plus
• Experience deploying applications to Apache & Nginx as RestAPIs
• Experience of solution that process large data sets.