Senior Software Engineer

Software Engineer

Tech Stack:

Node.js, Python, React, React Native, AWS (EKS, Lambda, Step Functions, Glue, QuickSight, S3), MySQL, PostgreSQL, Redis, DocumentDB.

Are you a hands-on engineer who enjoys building full-stack features and delivering robust, scalable data solutions in a modern AWS cloud environment?

We’re looking for someone who can own end-to-end software development while also shaping our data workflows, pipelines, and analytics foundations.

• Collaborate with product managers and tech lead to design and build impactful user-facing and backend solutions.
• Build responsive web interfaces using React.
• Develop mobile applications using React Native.
• Implement scalable backend services with Node.js and Python.
• Design, secure, and optimize RESTful APIs and microservices.
• Work with relational and NoSQL databases: MySQL, PostgreSQL, Redis, DocumentDB.
• Deploy cloud-native services using AWS EKS, Lambda, and related services.
• Contribute to CI/CD pipelines, GitOps, and modern DevOps practices.
• Participate in architecture reviews and ensure performance, reliability, and security.

• Design, build, and maintain ETL/ELT pipelines using AWS Glue, Step Functions, and Lambda.
• Work extensively with Amazon S3 as the central data lake layer.
• Develop automated data pipelines for ingestion, transformation, and validation.
• Build dashboards, analytics, and reporting layers using AWS QuickSight.
• Handle data transfer, synchronization, and integration between internal and external systems.
• Ensure data quality, schema consistency, and reliability across the data lifecycle.
• Collaborate with stakeholders across engineering, product, and analytics to shape a modern data architecture.

• 3+ years of hands-on engineering experience (full stack and data engineer).
• Strong backend skills in Node.js and Python.
• Strong proficiency in JavaScript/TypeScript, with production experience using React.
• Experience building mobile apps with React Native (nice to have but not required for the data-heavy candidate).
• Deep understanding of REST APIs, microservices, and scalable cloud systems.
• Practical experience with AWS.
• Data Engineering experience with:
• AWS Glue
• AWS Step Functions
• Dashboards & BI with QuickSight
• Familiarity with CI/CD, DevOps, IaC, and agile workflows.
• Strong communication, ownership mindset, and problem-solving skills.