Senior Cloud Services Engineer

Humana is hiring a Senior Cloud Services Engineer to support cloud engineering, ETL, Salesforce, AI, security, and DevOps initiatives. The role delivers scalable, reliable, and secure solutions, influences technical direction, and mentors junior associates while contributing to continuous improvement.

Responsibilities:

• The Senior Cloud Services Engineer enables cloud technologies to provide optimal performance, continuity, and efficiency in virtualized, on-demand environments
• The Senior Cloud Services Engineer utilizes software that manages and monitors networks, systems, and applications not only to guarantee performance within cloud software environments but also to orchestrate and automate the provisioning of resources
• The associate begins to influence department strategy and makes decisions on moderately complex to complex issues regarding technical approaches for project components
• Work is performed with minimal direction and considerable latitude is exercised in determining objectives and approaches to assignments
• This role supports critical cloud engineering, ETL, Salesforce, AI, security, and DevOps initiatives while partnering across technical teams to deliver scalable, reliable, and secure solutions
• The Senior Cloud Services Engineer also serves as a mentor to junior associates and contributes to continuous improvement efforts across the organization
• The Senior Cloud Services Engineer will support strategic cloud, data engineering, DevOps, and AI initiatives that are critical to business operations and digital transformation efforts
• This role requires an independent technical contributor who can effectively partner with stakeholders, solve complex technical challenges, and influence technical direction across multiple platforms

Requirements:

• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field or equivalent experience
• 5 or more years of technical experience
• Experience working in a Salesforce environment
• Solid foundation of data engineering concepts, ETL, and distributed processing, particularly Databricks and Informatica
• Medium programming skills in Python
• Knowledge of Large Language Models (LLMs), prompt engineering, Retrieval-Augmented Generation (RAG), embeddings, and vector databases for Generative AI use cases
• Understanding of MLOps and model lifecycle management
• Experience with cloud platforms such as Azure, AWS, or Google Cloud Platform
• Experience with DevOps practices including CI/CD pipelines, Infrastructure as Code (IaC), and Copado
• Understanding of monitoring, observability, logging, and alerting practices
• Knowledge of security, Identity and Access Management (IAM), data privacy, and responsible data governance practices
• Experience working with structured and unstructured data
• Knowledge of Kubernetes, Docker, or other container orchestration technologies
• Strong verbal and written communication skills
• Experience collaborating with cross-functional teams
• Experience working in Agile environments
• Master's degree in Computer Science, Information Technology, Engineering, Data Science, or a related field
• Strong SQL skills and experience developing complex queries and data solutions
• Strong programming skills in Python
• Experience with Kubernetes, Docker, or other container orchestration technologies
• Proven experience with Agentic AI and Databrick ETL
• Experience mentoring junior engineers or technical team members
• Experience supporting healthcare or highly regulated environments
• Azure, AWS, Databricks, Kubernetes, or related cloud certifications
• Experience with enterprise-scale cloud transformation initiatives
• Experience supporting large-scale data platforms and analytics environments