Senior Software Engineer

Candidates should possess 5+ years of backend or full-stack software development experience, with a focus on data-driven applications and production-level systems. Proven experience designing and maintaining data pipelines using tools like AWS Glue, Lambda, and DBT, especially in support of analytics platforms such as Amazon QuickSight, is required. Strong programming skills in Python, Node.js, and JavaScript/TypeScript, with a solid grasp of backend architecture and scalable service design, are essential. Proficiency in working with SQL-based databases (e.g., PostgreSQL, MySQL), understanding of data modeling for reporting and analytics, and hands-on experience with cloud-native development in AWS, including service orchestration and integration across compute and data layers, are necessary. Familiarity with CI/CD pipelines (e.g., GitHub Actions, BitbucketPipelines) and modern DevOps workflows, along with sound knowledge of API design, including REST and GraphQL, and experience building or integrating backend services into dashboards or external tools, are also required. A strong problem-solving mindset and enthusiasm for leveraging AI tools and automation are expected. A Bachelor's degree in Computer Science or equivalent experience is preferred, as is experience with containerization tools like Docker and Kubernetes, and exposure to infrastructure as code (Terraform, CloudFormation).