Lead Software Engineer

Talent Acquisition Lead || Engg/IT Recruiter

Local candidates preferred (CT, NY, NJ, MA)

USC / GC Only.

The interview process will be the first round with the hiring manager. The second round will be technical, and the third round will be with the hiring manager, the executive director, and a team member.
Must be on-site for the final round
. If they are not local, they will fly them in.

Must be willing to work 2 to 3 days on-site. If they are relocating, please indicate the motivator for why they would like to relocate. Relocation assistance is considered. Could be an amount or a sign on bonus.

Location: Ridgefield, CT (Hybrid / On-site preferred) - Flexible work-from-home days

Employment Type: Full-Time, salaried w/benefits

Visa Restrictions: We are currently only able to consider candidates who are authorized to work in the U.S. without sponsorship.

This role sits within a centralized enterprise data and analytics organization focused on building scalable, cloud-based platforms that enable data-driven decision-making across a global business. The team is responsible for delivering modern data, analytics, and AI-enabled solutions that support complex business needs at scale.

We are seeking a highly experienced Full Stack Software Engineer with a strong background in data analytics platforms and cloud-native development
. This individual will design, build, and maintain end-to-end applications, spanning both front-end and back-end systems, while collaborating closely with product, data, and engineering partners. The work spans ideation, architecture, development, deployment, and optimization, with opportunities to integrate analytics and machine learning capabilities.

This is a hands-on engineering role with opportunities for technical leadership, mentorship, and influence over architectural decisions.

• Design, develop, and maintain full-stack, cloud-based applications supporting data analytics and reporting use cases
• Build secure, scalable, and high-performance solutions aligned with business and regulatory requirements
• Participate across the full software development lifecycle, from architecture and design through deployment and optimization

• Support and optimize development and production environments, including CI/CD pipelines
• Implement automation to improve reliability, scalability, and operational efficiency
• Ensure smooth provisioning and ongoing support of applications for end users
• Design and integrate API-driven backend services using cloud-native and serverless technologies
• Align solutions with established architectural standards and best practices

• Work within agile delivery teams in close partnership with product owners and cross-functional stakeholders
• Contribute to iterative development cycles with a focus on quality, security, and scalability

• Develop and implement testing strategies and frameworks to ensure reliable, high-quality software delivery

• Associate degree with 11+ years of relevant experience,
  or
• Bachelor’s degree with 9+ years of experience,
  or
• Master’s degree with 7+ years of experience
• Minimum 6+ years of hands-on programming experience preferred
• Minimum 7+ years of experience in full stack and data analytics engineering

• 5–10 years of progressive experience in software engineering and application development
• Minimum 7+ years of experience in full stack and data analytics engineering
• Full stack software development experience within data analytics platforms
• Hands‑on experience with data pipelines and ETL/ELT tools (e.g., AWS Glue, Databricks, DBT)
• Backend development using cloud-native and serverless technologies (AWS Lambda, API Gateway)
• AWS cloud experience required
• Experience with front‑end data visualization tools (Tableau, Power BI)
• Proficiency with modern development practices and tooling:
  • Version control (Git)
  • Containerization and orchestration (Docker, Kubernetes)
  • Familiarity with secure software development practices and multi‑environment deployments (DEV, QA, STAGING, PROD)
• Bachelor’s or Master’s degree (or equivalent experience)
• Demonstrated ability to lead by influence and mentor junior engineers
• Strong communication skills and ability to collaborate across technical and non‑technical teams
• Proven thought leadership in driving best practices and innovation across the full stack

• Adaptable, collaborative, and eager to learn
• Comfortable working in fast‑paced, evolving environments
• Interest in expanding skills beyond pure engineering (e.g., UX, agile practices, innovation)
• Experience in regulated or highly governed environments is a plus but not required