The Role:
Software Developer (Automation/Full Stack)
The Team:
Join a dynamic, cross-functional team building a modern data-driven web application deployed on AWS. The team delivers business-critical solutions for data management, reporting, and analytics using Django, React, Databricks, and cloud-native AWS services. It values ownership, collaboration, continuous improvement, and a strong focus on automation, security, and user experience.
The Impact:
As a Full-stack & ETL Developer, you will design, develop, deploy, and maintain end-to-end features across the platform. You will work closely with product owners, data engineers, and DevOps teams to deliver scalable, secure, and high-performing solutions, directly enabling efficient data workflows, secure access, and insightful reporting for internal stakeholders.
What’s in it for you:
- Work on a modern fullstack platform combining web development, data engineering, and cloud technologies.
- Gain hands-on experience with Django, React, Databricks, AWS, and enterprise
authentication systems.
- Own end-to-end development including backend, frontend, ETL pipelines, and production support.
- Build scalable data ingestion frameworks and contribute to business-critical data workflows.
- Develop expertise across cloud, DevOps, and automation practices in a real production environment.
Responsibilities:
- Develop backend systems using Django and Python, including REST API design, authentication (SAML/Okta), Databricks integration, data models, migrations, and ensuring code quality through CI/CD and standards.
- Build and maintain frontend applications using React, integrating with backend APIs, handling authentication and error states, and implementing user-friendly workflows for data exploration, approvals, and reporting.
- Design, deploy, and operate cloud infrastructure on AWS (EC2, VPC, ALB, Route 53, ACM, IAM), manage Docker environments, automate deployments using GitHub Actions, and monitor system performance and reliability.
- Design, develop, and maintain Python-based ETL frameworks for ingesting, transforming, and loading data from APIs, S3, databases, and external systems, ensuring scalable and reusable data pipelines.
- Support and troubleshoot production ETL jobs across Linux, AWS Lambda, EC2, and Windows environments, monitor scheduled jobs, resolve failures with minimal downtime, and perform root-cause analysis with long-term fixes.
- Collaborate with stakeholders, document APIs and processes, ensure secure handling of authentication, secrets, and infrastructure, and provide BAU support including bug fixes, enhancements, and operational stability.
What We’re Looking For:
Technical Skills / Qualifications:
- Bachelor’s degree in Computer Science, Engineering, or related field.
- Strong proficiency in Python for backend development and ETL/data engineering, including building and troubleshooting ETL pipelines and Linux-based automation.
- Experience with REST APIs, Databricks (or similar platforms), SQL/data modeling, and fullstack development (Django + React).
- Hands-on experience with AWS services, Docker, CI/CD pipelines, Git, and SAML-based authentication (Okta or similar).
Soft Skills:
- Strong problem-solving and troubleshooting skills, especially in production environments.
- Ability to work independently and handle end-to-end ownership across multiple domains.
- Effective collaboration with cross-functional teams (product, data, DevOps).
- Strong communication and documentation skills.
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