Developer

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.