Systems Engineering Manager

Job Overview

JOB DETAILS

REQUIREMENTS

• 10 years of experience, may have supervisory or lead experience
• Demonstrated experience with standing up and administering data analytics tools and platforms, such as Snowflake and Databricks
• Demonstrated experience with hosting cloud infrastructure, specifically in AWS
• Experience integrating Infrastructure as Code into a system architecture (Terraform/Ansible)
• Demonstrated experience with automated pipeline deployments to support CI/CD best practices
• Experience with source version control (GitHub)
• Experience with container development and CI/CD related tools (Docker, Kubernetes, Jenkins/CloudBees)
• Demonstrated experience with Configuration and Policy as Code (YAML)
• Cloud experience implementing network security policies and data security for large scale applications
• Strong development background in scripting languages, such as Python or bash
• Team player – strong desire to work in a collaborative environment
• Excellent communication skills and ability to demonstrate new capabilities to program stakeholders
• Ability to obtain/maintain a Public Trust clearance
• US citizenship is required

RESPONSIBILITIES

• Manage engineering resources’ tasking for successful delivery of program initiatives.
• Research system improvements to increase the operational efficiency of the analytics platform supported processes.
• Administer current analytics platform tools, including managing permissions for all available capabilities rolled out to our modeling community.
• Lead technical implementation of analytics platform improvements, best practices, and security measures to increase the robustness of the system.
• Perform security assessments for incoming requests and modeling packages submitted to the analytics platform.
• Maintain active CI/CD pipelines for backend compute updates, production dashboards, and model releases.
• Develop, maintain, and deploy container images for set of modeling packages available in our environment.
• Automate manual deployment and release steps for platform infrastructure supporting our modeling environment.
• Stand up new opensource, cloud native, and COTS products and integrating tools into existing architecture.
• Communicating platform changes and escalating platform issues as they arise.

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