Cloud Engineer

Cloud Engineer

Smithfield, RI

Job Description

CTG has a need for a Principal Level Cloud Engineer. Manager is looking for a lead developer who can be the "soul" of the team.

Team - The Data and Analytics team sits within Fidelity Enterprise Risk Management Technology group. They are responsible for establishing the Risk and Compliance Data Lake and associated Analytic Platform.

Project - To establish pipelines and deployment infrastructure of Machine Learning models developed by their business partners.

Skills:

• AWS Development skills
• Python or Java
• Designing and developing CI/CD pipelines (Jenkins preferred)
• Kubernetes (EKS preferred), Hadoop (EMR preferred)
• Kafka

Location: Smithfield, RI
Duration: long-term
Interview: 90 minute panel interview
Bill Rate: Up to $119.00 (not all subs need to be at $119.00)

Fidelity TalentSource is your destination for discovering your next temporary role at Fidelity Investments. We are currently sourcing for a Cloud Engineer to work in the Corporate Technology Group in Smithfield, RI.

The Team

The Data and Analytics team sits within Fidelity 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
• Proven 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.
• The ability to detail and present your designs for architects and developers to review and understand.

The Value you deliver

• Self-starter who has a track record of driving technology projects forward.
• Naturally curious and learn new technologies and systems quickly. You scout out in front, then guide the team on what you learned.
• To help empower a team where your value is helping others improve their potential.
• Persistent to break through problems and can adapt to constraints by finding innovative solutions.
• Know what it takes to develop solutions that are stable, robust and scalable.
• Enjoy working in a fast-paced environment with a hardworking team