Jobs

Description

Location: Hybrid-Hartford Area

Temp to Perm

Key Technical Requirements:

• Strong expertise in Linux administration (especially Red Hat Linux)
• Experience with AWS (EC2, S3, Terraform, cloud infrastructure management)
• Knowledge of analytics tools such as SAS, Python, and R
• Bash and Python scripting experience preferred
• Familiarity with database connectivity technologies
• Experience managing platforms across Linux, Windows, MacOS, and cloud environments

Position Summary

• The Technical Engineer Lead serves as the senior technical consultant and guide for the Advanced Analytics Engineering team within Enterprise Technology Solutions (ETS) at Client Insurance.
• This role is responsible for the management, upgrade, and support of the enterprise analytical platform serving 500+ analytics users across all Client lines of business.
• The position combines deep technical expertise in multi-platform analytics infrastructure with team leadership, business stakeholder engagement, and strategic technology planning.
• The role also encompasses organizational responsibilities including Disaster Recovery (DR) coordination, production pipeline signoff governance, and AI tool advocacy to modernize team workflows.

Core Platform Responsibilities

Miniforge Python "Condaplus" – Linux, macOS, Windows, and AWS

• Manage and maintain the Condaplus Python distribution across all enterprise platforms.
• This includes version upgrades and rollouts (desktop, Linux server, Windows server, macOS), coordinating security vulnerability remediation across devices, managing Conda virtual environments for application deployments, integrating with Nexus IQ firewall for automated security scanning of packages, and supporting AWS-based analytics environments including EC2 AMIs.
• Condaplus serves as the foundation for Python-based analytics, data science workflows, and internal tool development across the organization.

SAS – Linux and Windows Across 9 Physical Servers

• Oversee the SAS analytics platform including SAS 9.4 on RHEL 8 Linux servers and SAS Enterprise Guide on Windows.

Software Products & Technologies Managed

• The following is a comprehensive inventory of the software products, platforms, and technologies that this role is responsible for managing, supporting, and maintaining across the enterprise.

Analytics Platforms

• SAS Enterprise Guide 
• RStudio Server (Opensource) – R development environment on Linux servers
• R (multiple versions: 3.6.3, 4.4.3) – Statistical computing across Linux, Windows Desktop, and AWS AMIs
• Rtools – Windows-based R package compilation toolchain
• Condaplus (Miniforge Python) – Custom Python distribution on Linux, Windows, macOS, and AWS
• IIS (Internet Information Services) – SAS web application hosting on Windows servers

AWS Cloud Services
Internal Web Applications (Flask/Python)

Development & Version Control

• Git / GitHub Enterprise – Version control and repository management for team code and configurations
• GitHub Copilot – AI-assisted code development integrated with RStudio Server and development workflows
• Nginx – Reverse proxy and web server for Flask application routing and SSL termination
• Gunicorn – Python WSGI HTTP server for production Flask deployments
• Systemd – Linux service management for all deployed applications