Senior Software Engineer 3

CARPL.ai is a vendor-neutral Artificial Intelligence (AI) platform that allows radiologists to access, assess, and integrate radiology AI solutions in their clinical practice. CARPL provides a single user interface, a single data channel, and a single procurement channel for the testing, deployment, and monitoring of AI solutions in clinical radiology workflows. We are the worlds largest radiology AI marketplace offering 200+ applications from 85+ AI vendors. Key Responsibilities Design, develop, and deploy highly scalable, distributed backend systems using Python and Java.Drive technical design and architecture discussions for new features and system improvements.Implement and optimize microservices and event-driven architectures across AWS and GCP environments.Ensure system reliability, scalability, and performance through code optimization, load testing, and monitoring.Integrate and manage services using AWS (EC2, S3, Lambda, ECS, RDS, etc.) and GCP (Compute Engine, Cloud Run, BigQuery, Pub/Sub, etc.).Mentor junior and mid-level developers through code reviews, design sessions, and pair programming.Collaborate with DevOps teams to streamline CI/CD pipelines, automate deployments, and improve observability.Champion engineering excellence by enforcing clean code principles, testing best practices, and security standards. Required Qualifications Education: Bachelors or Masters degree in Computer Science, Engineering, or equivalent practical experience.Experience: 7+ years of hands-on software development experience.Strong proficiency in Python and Java, with experience building backend or microservices-based applications.Expertise in cloud platforms, especially AWS and GCP, and familiarity with cloud-native architectures.Deep understanding of data structures, algorithms, and system design principles.Experience with RESTful APIs, asynchronous processing, and distributed systems.Proficiency with relational and NoSQL databases (PostgreSQL, MySQL, DynamoDB, MongoDB, etc.).Familiarity with containerization (Docker) and orchestration (Kubernetes).Hands-on experience with CI/CD tools (e.g., Jenkins, GitHub Actions, CircleCI, or GitLab CI).Strong debugging, problem-solving, and performance optimization skills.Excellent communication and collaboration abilities. CARPL.ai is a vendor-neutral Artificial Intelligence (AI) platform that allows radiologists to access, assess, and integrate radiology AI solutions in their clinical practice. CARPL provides a single user interface, a single data channel, and a single procurement channel for the testing, deployment, and monitoring of AI solutions in clinical radiology workflows. We are the worlds largest radiology AI marketplace offering 200+ applications from 85+ AI vendors. Key Responsibilities Design, develop, and deploy highly scalable, distributed backend systems using Python and Java.Drive technical design and architecture discussions for new features and system improvements.Implement and optimize microservices and event-driven architectures across AWS and GCP environments.Ensure system reliability, scalability, and performance through code optimization, load testing, and monitoring.Integrate and manage services using AWS (EC2, S3, Lambda, ECS, RDS, etc.) and GCP (Compute Engine, Cloud Run, BigQuery, Pub/Sub, etc.).Mentor junior and mid-level developers through code reviews, design sessions, and pair programming.Collaborate with DevOps teams to streamline CI/CD pipelines, automate deployments, and improve observability.Champion engineering excellence by enforcing clean code principles, testing best practices, and security standards. Required Qualifications Education: Bachelors or Masters degree in Computer Science, Engineering, or equivalent practical experience.Experience: 7+ years of hands-on software development experience.Strong proficiency in Python and Java, with experience building backend or microservices-based applications.Expertise in cloud platforms, especially AWS and GCP, and familiarity with cloud-native architectures.Deep understanding of data structures, algorithms, and system design principles.Experience with RESTful APIs, asynchronous processing, and distributed systems.Proficiency with relational and NoSQL databases (PostgreSQL, MySQL, DynamoDB, MongoDB, etc.).Familiarity with containerization (Docker) and orchestration (Kubernetes).Hands-on experience with CI/CD tools (e.g., Jenkins, GitHub Actions, CircleCI, or GitLab CI).Strong debugging, problem-solving, and performance optimization skills.Excellent communication and collaboration abilities.