Senior Cloud Application Developer - II

• Lead the design and implementation of Generative AI applications, including prompt engineering, fine-tuning, retrieval-augmented generation (RAG), and orchestration of LLM workflows across business domains.
• Collaborate closely with data scientists, MLOps, platform engineers, and product owners to deliver GenAI solutions aligned to real-world use cases.
• Own the technical roadmap, architecture decisions, and delivery of GenAI projects across the enterprise.
• Evaluate and integrate with cloud-native AI services (e.g., Amazon Bedrock, Azure OpenAI, Vertex AI) and open-source models.
• Champion model observability, governance, and ethical AI practices, ensuring safety, transparency, and compliance in all LLM deployments.
• Mentor and guide a team of software engineers and AI practitioners, fostering a culture of continuous learning and innovation.
• Drive reusability and scalability by building reusable components, APIs, and internal developer tools for LLM-powered workflows.
• Conduct code and design reviews, and lead agile ceremonies to ensure high-quality and timely delivery.
• Communicate technical strategies, progress, and risks to both technical and non-technical stakeholders, including leadership.
• 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.

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• Minimum of 6 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, Java, or Node.js
• Experience with AWS services, including EC2, S3, Lambda, RDS, DynamoDB, API Gateway, and CloudFormation.
• 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.

We hire for skills and capabilities, not just credentials - if this role excites you, but doesn't perfectly match your resume, we encourage you to apply anyway.

How We Work

Where you work matters - because collaboration, innovation and patient impact happen in many settings. Our roles are structured across four work models: site-essential, site-by-design, field-based and remote-by-design. The model assigned to this role is based on its core responsibilities. Learn more at https://careers.bms.com/ways-of-working.