Developer at EVERSANA1

POSITION: Reporting to the Manager, Software Engineering, we are seeking a highly skilled Developer to join our team and build scalable, secure, and high-performing applications. This role involves working across front-end and back-end systems, leveraging modern frameworks, cloud platforms, and data engineering tools to deliver exceptional user experiences and robust solutions.   RESPONSIBILITES: Development & Architecture • Design and implement client-side and server-side applications using ReactJS, Next.js, TypeScript, and Python frameworks (FastAPI, Flask, Django, AsyncIO). • Develop backend services and APIs (REST & GraphQL) with Node.js and Python. • Implement asynchronous programming for high-performance APIs. • Work with SQL (Snowflake, PostgreSQL, MySQL) and NoSQL (MongoDB, DynamoDB, Redis) databases. • Build and maintain data pipelines using PySpark, Pandas, NumPy, and streaming systems like Apache Kafka, RabbitMQ. • Deploy applications on AWS (EC2, Lambda, ECS, S3, CloudFront) and manage containerized workloads using Docker and Kubernetes (Helm, Operators). • Implement CI/CD pipelines with GitHub Actions, Jenkins, ArgoCD. • Ensure application security and compliance (GDPR, HIPAA) using tools like Vault, AWS Cognito, Let’s Encrypt. • Monitor and troubleshoot using Prometheus, Grafana, Loki, Jaeger, OpenTelemetry. • Optimize performance through caching strategies, load balancing, and scalable architecture.  Collaboration & Quality • Work closely with product managers and cross-functional teams to deliver software solutions. • Participate in agile development processes including design, implementation, and deployment. • Write technical documentation and contribute to end-user guides. • Conduct unit and integration testing to ensure reliability and efficiency.REQUIREMENTS: • 2+ years of experience as a developer. • Strong proficiency in Python, JavaScript/TypeScript, and frameworks like FastAPI, Flask, Django, ReactJS, Next.js, Node.js. • Hands-on experience with data engineering tools (PySpark, Pandas) and streaming platforms (Kafka, RabbitMQ). • Expertise in AWS services (EC2, Lambda, ECS, S3, CloudFront, RDS, ElastiCache, OpenSearch) and familiarity with GCP (BigQuery, Pub/Sub) and Azure (Data Factory, Synapse Analytics). • Knowledge of containerization and orchestration (Docker, Kubernetes) and CI/CD tools (ArgoCD, Jenkins, GitHub Actions). • Experience with monitoring and observability tools (Prometheus, Grafana, Loki, Jaeger). • Working experience with big data technologies (Spark) and ETL frameworks (Airflow, dbt). • Exposure to ML/AI frameworks (Scikit-learn, TensorFlow, PyTorch) and MLOps tools (MLflow, Kubeflow). • Strong understanding of API design, data governance, and security best practices. • Excellent problem-solving skills, attention to detail, and ability to manage multiple priorities.