Lead Software Engineer - Lead Infrastructure Cloud Software Engineer

Job Description

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.

• Collaborate with development teams to enhance the developer experience, providing tools and infrastructure that support agile methodologies and continuous integration/continuous deployment.
• Execute software solutions, design, development, and technical troubleshooting with the ability to think beyond routine or conventional approaches.
• Create secure and high-quality production code to deploy infrastructure.
• Develop and maintain automated pipelines for model/product deployment, ensuring scalability, reliability, and efficiency.
• Produce architecture and design artifacts for complex applications, ensuring design constraints are met by software code development.
• Gather, analyze, synthesize, and develop visualizations and reporting from large, diverse sets for continuous improvement of software applications and systems.
• Proactively identify hidden problems and patterns in data, using insights to drive improvements to coding hygiene and system architecture.
• Contribute to software engineering communities of practice and events that explore new and emerging technologies.
• Add to team culture of diversity, equity, inclusion, and respect.

• Formal training or certification on software engineering concepts and 5+ years applied experience
• Hands-on practical experience in system design, application development, testing, and operational stability.
• Proficient in python/Java scripting language
• Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages (Python/Java or other) and database querying language
• Experience in applied AI/ML engineering, with a track record of deploying business critical GenAI, machine learning models in production.
• Overall knowledge of the Software Development Life Cycle.
• Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, mobile, etc.).
• Experience with Public Cloud services in Production (AWS or other).
• Experience with Infrastructure as Code (Terraform or other).
• Ability to tackle design and functionality problems independently
• Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security

• Familiarity with modern front-end or back-end technologies.
• Experience with any of GitHub, GitHub Actions, Artifactory, Terraform Cloud, Slack, Grafana, SonarQube is considered a plus.
• Proficient in coding in one or more languages.
• Experience in designing and implementing AI/ML/LLM/GenAI pipelines.
• Stay informed about the latest trends and advancements in the latest AI/ML/LLM/GenAI research, implement cutting-edge techniques, and leverage external APIs for enhanced functionality.