Senior Software Engineer, Cloud Developer [AWS & Python]

Position Summary: Join the Bristol Myers Squibb Cloud and AI Enablement team to design and deliver cloud native solutions in AWS, Azure, and GCP. Partner with functional colleagues to understand challenges and build solutions that solve them. Work alongside cloud, data, and AI technical colleagues to research and apply cutting-edge technologies. Responsibilities: Partner with other cloud developers, data engineers, AI/ML specialists, and data scientists to design, develop, and implement cloud native solutions Collaborate with data engineers and data scientists to build and optimize data pipelines, ETL processes, and machine learning models in the cloud Develop and maintain microservices, APIs, and serverless applications Ensure the security, reliability, and performance of cloud infrastructure and applications by implementing best practices, monitoring tools, and automated testing Participate in code reviews, architecture discussions, and agile development processes to ensure high-quality, maintainable, and scalable code Troubleshoot and resolve issues related to cloud infrastructure, applications, and data pipelines Continuously research and stay up-to-date with the latest cloud technologies, trends, and best practices to drive innovation and improve existing solutions Provide technical guidance and mentorship to junior developers and team members Document and communicate technical designs, processes, and solutions to both technical and non-technical stakeholders Qualifications & Experience: Bachelor's or Master's degree in Computer Science, Engineering, or a related field Minimum of 4 years of experience in development, with a focus on cloud computing Strong knowledge of cloud platforms (e.g., AWS , Azure, Google Cloud) and services, including compute, storage, networking, and security Strong programming skills in languages such as Python or Node.js Experience with AWS services, including EC2, S3, IAM, Lambda, RDS, DynamoDB, API Gateway, and Cloud Formation Knowledge of cloud architecture patterns, best practices, and security principles Experience with containerization technologies, such as Docker and Kubernetes, is a plus Familiarity with data pipeline and ETL tools, such as Apache NiFi, AWS Glue, or Apache Airflow is a plus Experience leading initiatives related to continuous improvement or implementation of new technologies. Works independently on most deliverables Strong analytical and problem-solving skills, with the ability to develop creative solutions to complex problems Ability to manage multiple projects and priorities in a fast-paced, dynamic environment HYDIT LI-Hybrid

Location: hyderabad, IN

Posted Date: 11/23/2024