Senior API Engineer (Python)

• Work closely with all relevant stakeholders to design, secure, and implement Azure cloud infrastructure solutions for multi-modal LLM and RAG-based architectures , including Azure AI Foundry, vector indexing, knowledge source integration, and distributed cloud AI services.
• Support evolving features such as agentic capabilities, MCP integrations, and enterprise knowledge connectivity.
• Use automation and codify best practices to enhance scalability, resiliency, and operational efficiency across cloud infrastructure.
• You will focus on streamlining system administration, reducing manual effort, and improving system reliability through scripting, configuration management, and modern ops methodologies.
• Use second-order thinking to identify the short, medium, and long term consequences of any architecture and decisions to identify risks, understand impact, meet requirements, and continue to drive customer value.
• Use your knowledge and experience with supporting application development lifecycles to recommend and engineer CI/CD pipelines to deploy code, conduct security scans and perform application health checks.
• Monitor system performance, reliability, and cost optimization, including logging, telemetry, incident response, and cloud resource governance.
• Participate in audits by providing artifacts to address NIST 800-53 rev5 controls and support the requirement to maintain an Authority to Operate (ATO).

Do you have experience in Technical troubleshooting support?, Do you have a Bachelor's degree?, * Education: BS/BA (or equivalent)

• Required Experience: Minimum of 10 years related experience
• Excellent written and communication skills
• Strong troubleshooting skills
• Required Technical Skills: Minimum of 10 years' experience as a cloud engineer with cloud and enterprise infrastructure technologies in a medium to large enterprise
• Hands-on experience in system administration, automation frameworks, patch management, monitoring, certificate management and data protection and backup approaches.
• Hands-on Azure experience to include: Implementing and supporting Azure AI Foundry, serverless compute, vector databases/search platforms, and knowledge integration architectures (RAG patterns preferred).
• Implementing and supporting RBAC, identity management, and conditional access policies via Azure AD / Entra ID
• Monitoring and performance tuning using Azure Monitor, Log Analytics, and Alerts
• Deploying, managing, and troubleshooting network components such Load Balancers, Virtual Networks (VNets), API gateways, Firewalls, and Route Tables.
• Experience designing and building CI/CD pipelines
• Infrastructure-as-code experience to include experience with ARM templates and/or Terraform, writing custom modules from scratch, and helping guide and contribute to a large and growing codebase

Preferred Skills:

• Experience managing and integrating AI models and tools such as ChatGPT, Gemini, and DALL-E.
• Experience working in a life-sciences oriented environment
• Writing code (PowerShell, Python, Ruby, etc.) from scratch to solve problems
• Experience using Git to manage shared software configuration code bases

Pulled from the full job description

• 401(k)
• Health insurance
• Vision insurance
• Dental insurance
• Life insurance