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Full Stack Engineer
iksa.aivapi, gujarat, in4 days ago
Job description6 - 8 years of full‑stack software engineering experience Strong frontend proficiency : ReactJS (ideally with TypeScript), ability to build responsive UI, good UX awareness Deep backend expertise : Python (Flask, FastAPI or equivalent), building scalable services, microservices architecture Solid experience working with Neo4j (graph database) : designing graph schemas, writing / optimizing Cypher queries, handling graph‑data workflows Strong AWS experience : you’ve used AWS services in production, understand cloud architecture, serverless vs container trade‐offs, security / identity (IAM), networking fundamentals Experience with databases : relational (PostgreSQL, MySQL, Aurora) and NoSQL (MongoDB, etc.); Knowledge of REST (or GraphQL) API design, web‑sockets optionally, data modelling, performance tuning Excellent debugging, performance‑tuning, security and system design skills Good communication skills, cross‑functional collaboration, mentorship and leadership mindset Bachelor’s or Master’s in Computer Science or related field (or equivalent experience) Experience with domain modelling involving graph networks Working with event‑driven architectures (SQS, SNS, Kafka) or serverless pipelines Familiarity with observability / monitoring tools (Datadog, CloudWatch, Prometheus, Grafana) Experience working in startup / scale‑up environments : rapid iteration, ambiguity, high ownership Location : We are a remote-first org, experience working in multiple time zones(USA, India, SEA) is a plus
About the role
As Full stack Engineer (Senior), you’ll execute and iterate the core components that drive Iksa’s 1->
10 product strategy. You’ll manage end‑to‑end delivery : from building user‑facing experiences with MERN stack to architecting back‑end services in Python, deploying to AWS, and leveraging a graph‑database (Neo4j) to model our proprietary Knowledge graph. You’ll collaborate with product, data & testing teams, and mentor more junior engineers.
This is more about execution than about process—it’s about balance between repeatable patterns and speed
Key Responsibilities
- Design, develop and maintain scalable AI / web applications : frontend (ReactJS / TypeScript) and backend (Python, microservices)
- Build and optimize graph data models using Neo4j for relationship‑intensive healthcare domains (recommendations, relevance, knowledge graphs)
- Deploy services on AWS : serverless or containerized architectures, leveraging services such as API Gateway, S3, RDS / Aurora, EC2, MongoDB, etc.
- Define and implement RESTful and / or GraphQL APIs, ensuring performance, scalability, security and maintainability
- Collaborate with UX / design, product, data engineering : translate business requirements into technical architecture and implementation
- Mentor and guide other engineers : code reviews, architectural discussions, best practices, knowledge sharing
- Troubleshoot production issues, drive reliability improvements, lead technical discussions on trade‑offs and future architecture
What we're looking for
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