Senior Cloud Engineer

Bristol Myers Squibb

Hybrid

Quick summary

Work type: Hybrid
Location: Brisbane, CASeattle, WAPrinceton, NJ
Salary: $151,280–$183,319 / yr
Posted: 4 days ago
Closes: Jul 27, 2026
Nearby: 99+ roles within 25 mi

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $169k

This role $167k

$120k most similar roles pay here $216k

This role pays more than 54% of similar roles. Most pay $142,400–$195,625 — the shaded band above. At the midpoint, this role pays about $167k versus about $169k for comparable roles.

Based on 240 similar postings.

Employer

About Bristol Myers Squibb

Bristol Myers Squibb is a global biopharmaceutical company committed to discovering, developing and delivering innovative medicines to patients.

Bristol Myers Squibb currently has 31 open roles on FindRole.

Listed pay typically runs $137,530–$166,654 across 31 roles with salary data.

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At a glance

TL;DR · Senior Cloud Engineer

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As a Senior Cloud Engineer at Bristol Myers Squibb's AI Venture Studio, you will join a dynamic team focused on developing secure and scalable cloud-hosted applications for agentic AI products. Your day-to-day responsibilities include designing APIs, services, and infrastructure patterns using AWS-native tools like S3, RDS/PostgreSQL, OpenSearch, and Lambda, while integrating BMS-preferred AI tools such as LangGraph and FastMCP. You will work on six two-week sprints to build MVPs for scaling in a fully agile model, addressing pharma-specific challenges by leveraging the latest technologies to manage unstructured knowledge sources. Key skills include proficiency in Python/FastAPI or TypeScript/Node, experience with AWS services, CI/CD pipelines, and containerization tools like Terraform and CloudFormation. This role requires hands-on expertise in cloud-native application engineering, agent runtime development, and DevOps practices, as well as a passion for pushing the boundaries of AI technology to enhance drug discovery and delivery processes.

Skills

AWS Python FastAPI Terraform CI/CD PostgreSQL RDS Redis OpenSearch S3 Athena Fargate Lambda IAM VPC LangGraph MCP FastMCP LangSmith GitHub Docker SQL

What you'll do

Design and build secure cloud-hosted applications using AWS-native services.
Develop APIs and backend services that integrate LLM APIs, retrieval systems, and workflow engines.
Implement agent runtimes and retrieval services using AWS data stores like S3, RDS, OpenSearch.
Create CI/CD pipelines and maintain infrastructure-as-code for cloud AI applications.
Build sandboxed execution environments to ensure secure and reliable agentic workflows.

What we're looking for

5+ years of cloud engineering experience with AWS services.
Proficiency in Python, FastAPI, TypeScript/Node for backend development.
Hands-on experience building LLM and agentic AI applications.
Expertise in CI/CD pipelines, automated testing, and infrastructure-as-code.
Strong knowledge of AWS-native storage and identity patterns.
Experience with semantic layers, data warehouses, and query history systems.
Familiarity with integrating approved frontier LLM models through enterprise services.

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