Senior Cloud Engineer

Cloud Engineer

Key for this role: Hands-on experience building, deploying, and migrating large applications to AWS Cloud. Proven experience working with AWS cloud services such as EC2, EKS, EBS, EFS, RDS, S3, IAM, KMS/CMK, Route 53, and Lambda. Experience working with Infrastructure as Code using AWS Cloud Formation Templates and Terraform, Ansible etc.

Top MUST Have Skills:

• Hands-on experience building, deploying, and migrating large applications to AWS Cloud.
• Proven experience working with AWS cloud services such as EC2, EKS, EBS, EFS, RDS, S3, IAM, KMS/CMK, Route 53, and Lambda Experience working with Infrastructure as Code using AWS Cloud Formation Templates and Terraform, Ansible etc.
• Solid understanding of Containers, Kubernetes, and AWS EKS
• Understanding of versioning and release practices (SCM), code collaboration practices (Git)
• Proficiency with CI/CD tools, such as Jenkins, GitHub, uDeploy, Artifactory etc.

Nice to Have Skills:

• Experience in with various scripting languages (Python, Shell scripting, Perl etc)
• Experience with Linux preferably in a command line environment
• Experience designing Datadog dashboard to monitor key metrics and create alerts.

We are currently sourcing for a Cloud Engineer to work in Westlake, Texas!

The Role

• Come join a team that is driving digital transformation and be part of exciting work such as cloud migration, DevOps adoption, APIs and microservices development, and Data lake – Snowflake integration while supporting an application performing billions of computations daily and used by thousands of investment professionals across the firm!

The Expertise and Skills You Bring

• Proven experience working with AWS cloud such as EC2, EKS, RDS, S3, IAM, KMS/CMK, Route 53, Lambda, EFS, and EBS
• Experience working with Infrastructure as Code using AWS Cloud Formation Templates
• Proven development experience using Python, JavScript and other languages.
• Hands on experience in Devops for creating CI/CD pipelines using GIT, Jenkins, uDeploy, Veracode, and Python
• Experience designing Datadog dashboard to monitor key metrics and create alerts.
• Experience with backend systems in Linux environment
• Experience developing APIs and microservices using Python, Java or other languages
• Experience with Datawarehouse and database programming such as Snowflake, Snow SQL and PL/SQL is plus
• Experience working in agile scrum teams
• Experience with financial services industry and fund accounting knowledge is a plus

The Team

The Fund and Investment Operations (FFIO) Performance Attribution technology team is responsible for the production of daily transaction-based attribution analytics at the holding's level for use by the application’s consumers who include: Senior Investment Staff, Portfolio Managers, Chief Investment Officers, Research groups, Distribution Channels, Board of Trustees & Shareholders. The highly complex performance attribution system is continually improving in response to challenges posed by, among others, changes in investment management strategy, the introduction of new investment products, and changes to upstream or interfacing applications.