Senior Software Developer

Key Responsibilities

• Design and develop robust, scalable backend services using Python and Node.js, primarily data analytics apps and dashboards
• Design, build and manage Microsoft SQL Server and PostgreSQL databases that support operational and analytics workloads
• Build responsive, intuitive user interfaces using React.js/Next.js, HTML, and CSS.
• Build and maintain dashboards in PowerBI/PowerApps.
• Build and maintain Azure-based and multi-cloud data pipelines and integrations.
• Leverage cloud platform services in Azure (and sometimes GCP and AWS) for infrastructure and data storage.
• Implement scalable APIs, authentication, RBAC, and secure multi-tenant architecture.
• Implement AI and ML models in collaboration with data science.
• Participate and lead code reviews, architectural discussions, and agile workflows.
• Improve performance, reliability, testing, and code quality across the stack.
• Collaborate with internal stakeholders to translate business and analytics needs into production-ready software.

Qualifications

• Bachelor’s degree in Computer Science or related field (or equivalent professional experience).
• 7-12+ years of experience developing production software and architecting scalable systems.
• Experience with Azure and Microsoft SQL Server.
• Strong skills in SQL, Python, JavaScript/TypeScript, React/Next.js, Docker
• Experience building 1-2 full-stack enterprise applications similar to: multi-tenant analytics apps/dashboards, unified data warehouse + pipelines, business workflow / planning / automation tools
• Forward-deployed engineering experience – comfort embedding with non-technical stakeholders, translating ambiguous business problems into working software, and iterating quickly with users in the loop. Equally at home in a stakeholder meeting and a code review.
• Proven experience building API integrations, data pipelines and managing production-scale constraints.
• Strong experience with modern frontend frameworks (React.js required)
• Proven experience in AI coding, automation & code optimization techniques.

Nice to Have

• Marketing analytics, digital marketing or ad tech background
• Experience with Google Ads and Google Analytics 4 APIs
• Experience with PowerBI, NinjaCator other BI software
• Experience with AI/LLM model deployment and monitoring
• Familiarity with dbt, Airflow/Prefect/Dagster, Terraform/Bicep