Senior Cloud Application Developer

Bristol Myers Squibb; Hyderabad; Remote; INR 2,000,000 - 3,200,000; Full time

Job summary

Bristol Myers Squibb is seeking a Senior Cloud Application Developer in Hyderabad to lead GenAI initiatives, architect scalable cloud-native solutions, and collaborate across data science, MLOps, and product teams. The role emphasizes ethical AI practices, governance, and robust delivery of AI-powered applications.

The candidate will mentor engineers, drive reusable components, and ensure secure, observable deployments aligned with enterprise standards.

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• Minimum of 5 years of experience in development with a focus on cloud computing.
• Strong knowledge of cloud platforms (AWS, Azure, Google Cloud) and services.
• Strong programming skills in 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 Docker and Kubernetes (containerization).
• Familiarity with data pipeline and ETL tools (NiFi, AWS Glue, Airflow).
• Experience leading initiatives and working independently.
• Strong analytical and problem-solving skills.
• Ability to manage multiple projects in a fast-paced environment.

Responsibilities

• 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 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 cloud-native AI services (e.g., AWS Bedrock, Azure OpenAI, Vertex AI) and open-source models.
• Champion model observability, governance, and ethical AI practices, ensuring safety, transparency, and compliance in LLM deployments.
• Mentor and guide a team of software engineers and AI practitioners, fostering continual 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 technical and non-technical stakeholders including leadership.
• Partner with cloud developers and data scientists to design, develop, and implement cloud-native solutions.
• Collaborate with data engineers and data scientists to build data pipelines, ETL processes, and ML models in the cloud.
• Develop and maintain microservices, APIs, and serverless applications.
• Ensure security, reliability, and performance of cloud infra and apps with best practices, monitoring, and automated testing.
• Participate in code reviews, architecture discussions, and agile development processes to ensure maintainable code.
• Troubleshoot and resolve issues related to cloud infrastructure, applications, and data pipelines.
• Stay up-to-date with latest cloud technologies and trends to drive innovation.
• Provide technical guidance and mentorship to junior developers.
• Document and communicate designs and solutions to stakeholders.

Skills

Cloud computing

Python

Java

Node.js

AWS

EC2

S3

Lambda

RDS

DynamoDB

API Gateway

CloudFormation

Security principles

CI/CD

Analytical skills

Project management

Education

Bachelor's or Master's in Computer Science or Engineering

Tools

Docker

Kubernetes

Apache NiFi

AWS Glue

Apache Airflow

Job description

At Bristol Myers Squibb, our employees often ask, "Who are you working for?"-a question that fuels collaboration, accountability, and urgency in our work. Our purpose-driven culture inspires us to discover, develop, and deliver innovative medicines to prevail over serious diseases. We offer uniquely interesting and meaningful work, opportunities for growth, and a supportive environment that values inclusion, wellbeing, flexibility, and comprehensive benefits. This is work that transforms the lives of patients, and the careers of those who do it.

Key Responsibilities:

• 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.

Qualifications & Experience:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• Minimum of 5 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.

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.

Supporting People with Disabilities

BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplaceaccommodations/adjustmentsand ongoing support in their roles. Applicants can request a reasonable workplaceaccommodation/adjustmentprior to accepting a job offer. If you require reasonableaccommodations/adjustmentsin completing this application, or in any part of the recruitment process, direct your inquiries to [e-mail]. Visit careers.bms.com/eeo-accessibility to access our complete Equal Employment Opportunity statement.

Candidate Rights

BMS will consider qualified applicants with arrest and conviction records, pursuant to applicable laws in your area.

Data Protection

We will never request payments, financial information, or social security numbers during our application or recruitment process. Learn more about protecting yourself at https://careers.bms.com/fraud-protection. Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations.

If this posting is missing required information required by local law or incorrect, contact BMS at [e-mail] with the Job Title and Requisition number. Do not send application-related inquiries to this email. To check your application status, please login to your Candidate Home Account.

R1604480 : Senior Cloud Application Developer