We are hiring a Full stack software engineer to design and build Data Applications in AWS Databricks ecosystem. This role is ideal for someone having strong experience in Java and Python based full stack development with system design thinking, along with hands on expertise in building and scaling Agentic AI solutions. The position is responsible for building modern Data centric applications for critical and highly impactful business processes. We are looking for a candidate with deep technical expertise, strong architectural thinking, and the ability to lead the design and end to end delivery of complex Data applications while driving engineering best practices, scalability, and reliability.
Key Responsibilities
Design and build scalable and distributed Data apps using AWS Databricks platform
Lead the integration of GenAI and agentic AI technologies to automate the end-to-end life cycle of application development.
Ensure robust, secure, and maintainable application architecture aligned with enterprise standards.
Implement strong security, compliance, and governance controls
Mentor engineers and influence application development standards and best practices
'\- 12+ years of IT-related work experience in Full stack Application development with a Bachelor's degree. \- 10+ years of software engineering experience in building and designing Data applications using Java, Python, Spring Boot, Angular/ReactJS or similar technologies \- 5+ years of experience designing distributed, event driven, and API first systems with strong reliability and security postures. \- 4+ years of work experience with Data Structures, algorithms, and data stores. \- Strong expertise in the LLM/GenAI ecosystem - orchestration frameworks (e.g., LangChain), agentic and graph based workflows (e.g., LangGraph), RAG and search patterns, and vector databases \- Solid understanding of SQL, relational database design and NoSQL databases
System Design & Innovation
Proven experience in designing complex and distributed end-to-end Data applications
Strong system design skills across Databricks, AWS cloud, data pipelines, storage and governance
Ability to evaluate and communicate architectural tradeoffs (scalability, reliability, cost, security, operability)
Demonstrated innovation mindset - Modernizing or simplifying technical process and solution by introducing new architectural patterns, Improving reliability, performance, and user experience
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Ability to work independently and mentor team members
Strong communication skills to explain complex system designs to technical and non-technical stakeholders
Working knowledge of Agile methodologies and the Scrum framework.
Minimum Qualifications:
5+ years of IT-relevant work experience with Bachelor's degree in a technical field (e.g., Computer Engineering, Computer Science, Information Systems).
OR
7+ years of IT-relevant work experience without a Bachelor’s degree.
4+ years of work experience with Full-stack Application Development (e.g., Java, Python, JavaScript, etc.).
3+ years of work experience with Data Structures, algorithms, and data stores.
*Completed advanced degrees in a relevant field may be substituted for up to two years (Master’s = one year, Doctorate = two years) of the general IT-related work experience.
'Other cloud certifications (Azure/GCP) Experience with build tools such as Gradle and Maven, and development environments/IDEs such as IntelliJ or Eclipse. Experience with Test‑Driven Development (TDD), system design, technical documentation, test case preparation, and test reviews. Strong debugging and root cause analysis skills for complex production issues. Experience working on or leading small to medium‑sized development teams from project definition through implementation. Ability to initiate and implement process improvements and contribute beyond defined responsibilities
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