Offer summary

Qualifications:

10+ years of software development experience with strong expertise in Python., Hands-on experience with distributed systems, microservices architecture, and RESTful APIs., Proficiency in SQL and data modeling for structured and semi-structured data., Experience with Google Cloud Platform (GCP) or Microsoft Azure and strong understanding of containerization and orchestration..

Key responsibilities:

Lead the design, development, and deployment of high-quality Python applications and microservices.

Collaborate closely with cross-functional teams including architects, DevOps, data engineers, and product owners.

Drive best practices in software engineering including code reviews, CI/CD, testing, and monitoring.

Mentor and guide mid-level and junior developers across multiple projects.

Job description

Work Authorization: US Citizens/ GC Holders/ GC-EAD/ H4-EAD only (No Sponsorship available)
Healthcare Industy experience is mandatory

Lead the design, development, and deployment of high-quality Python applications and microservices.
Architect and optimize distributed systems to handle large-scale data processing and analytics.
Collaborate closely with cross-functional teams including architects, DevOps, data engineers, and product owners.
Drive best practices in software engineering including code reviews, CI/CD, testing, and monitoring.
Mentor and guide mid-level and junior developers across multiple projects.
Ensure code quality, scalability, and performance in production environments.
Translate complex business requirements into technical solutions in a cloud-first architecture.

Requirements

10+ years of software development experience with strong expertise in Python.
Hands-on experience with distributed systems, microservices architecture, and RESTful APIs.
Proficiency in SQL and data modeling for structured and semi-structured data.
Proven experience working with Google Cloud Platform (GCP) or Microsoft Azure.
Strong understanding of containerization and orchestration (Docker, Kubernetes).
Experience with cloud-native services (BigQuery, Azure Data Factory, Pub/Sub, etc.).
Solid understanding of CI/CD pipelines, Git, and DevOps best practices.
Strong problem-solving skills and ability to work independently in a fast-paced environment.
Healthcare or insurance industry experience is a plus.
Familiarity with event-driven architecture using Kafka or similar technologies.
Exposure to NoSQL databases (e.g., Firestore, Cosmos DB, MongoDB).
Experience with data streaming and processing frameworks (Apache Beam, Dataflow, Spark).