Posted:1 day ago|
Platform:
On-site
Full Time
We are an ambitious innovative SaaS data platform building AI technology for Channel Data Management (CDM), Insurance and Sports & Media technology solutions. We seek a Lead Software Engineer with full stack expertise to drive the development of scalable, secure, and high-quality products in our Channel Data Management (CDM) vertical. The candidate will lead a skilled engineering team, translating business requirements into innovative AI software solutions that will provide our customers and their channel partners with insights and granularity that would not be possible without a deep understanding of AI infrastructure and operationalizing AI to yield amazing outcomes for our customers..
Key Responsibilities:
· Lead and mentor a team of 5–6 engineers (2–4 years of experience), fostering technical excellence and teamwork.
· Architect, develop, and maintain full stack SaaS applications with a focus on CDM workflows, data integration, and automation.
· Collaborate closely with Product, Data, and Customer Success teams to deliver features that enhance partner data visibility and accuracy.
· Ensure security, performance, and scalability of cloud-native applications in a multi-tenant SaaS environment.
· Drive code reviews, best practices, and continuous integration/deployment to maintain code quality.
· Influence technical strategy around data ingestion, transformation, APIs, and UI/UX efficiencies.
· Promote a culture of innovation, ownership, and continuous improvement within the team.
Required Skills & Technologies:
· Proven full stack development experience in SaaS environments.
· Frontend frameworks: React, Angular, or Next.js.
· Backend: Node.js, Flask, Java, or .NET.
· Strong knowledge of REST APIs, microservices architecture, and cloud platforms (AWS, Azure, or GCP).
· Experience with data processing pipelines, ETL, or data synchronization technologies is a plus.
· Familiarity with relational and NoSQL databases relevant to CDM use cases.
· Version control (Git), CI/CD pipelines, and Agile/Scrum methodologies.
· Strong leadership, communication, and mentoring skills with an ability to align team efforts to business goals.
Preferred Qualifications:
· Experience building or scaling SaaS products in data management, channel management, or related domains.
· Knowledge of containerization, orchestration tools (Docker, Kubernetes).
· Exposure to data security and compliance standards applicable to SaaS/CDM platforms.
Education:
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
Read This Before Applying:
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