OnlyW2/1099 | F2F Interview | Sr. Python Developer@Pasippany, NJ

About Palnar

PALNAR, the trade name of Palayekar Companies Inc. founded in 1997, delivers global software and technology services. Headquartered in Cranbury, New Jersey - United States, with operations in India (Noida and Goa), PALNAR provides software consulting, development, IT Support service and ongoing technology support worldwide.

Required Technical Skills

Backend Development

• Python: Advanced proficiency in Python development, including frameworks like Flask/FastAPI/Django
• Apache Airflow: Experience building and managing data pipelines and workflow orchestration
• API Design: RESTful APIs, GraphQL, microservices architecture
• Database: SQL and NoSQL databases (PostgreSQL, MySQL, MongoDB, Redis)

Frontend Development

• React: Advanced React.js development with modern hooks, state management (Redux/Context API)
• JavaScript/TypeScript: Strong ES6+ and TypeScript skills
• UI/UX: Responsive design, component libraries, modern CSS frameworks.

Cloud & AI

• AWS: Hands on experience with core AWS services:
  • Compute: EC2, Lambda, ECS/EKS
  • Storage: S3, RDS, DynamoDB.
  • Integration: API Gateway, EventBridge, SQS/SNS.
• AI/ML Integration: Experience integrating AI models, LLMs, or ML services into applications.
• Infrastructure as Code: CloudFormation, Terraform, or CDK.

Qualifications

Required

• Lead professional software development experience
• Strong proficiency in Python and at least one other backend language (Java/.NET)
• Proven experience with React and modern frontend development
• Hands on AWS cloud experience
• Experience with Airflow or similar workflow orchestration tools
• Understanding of AI/ML concepts and integration patterns
• Strong problem-solving and debugging skills
• Excellent communication and collaboration abilities
• Bachelor's degree in computer science or equivalent experience

Preferred

• Experience with CI/CD pipelines (Jenkins, GitLab CI, GitHub Actions)
• Knowledge of containerization (Docker, Kubernetes)
• Experience with monitoring and observability tools (CloudWatch, Datadog, New Relic)
• Familiarity with LLM integration (OpenAI, Anthropic Claude, AWS Bedrock)
• Agile/Scrum experience