Senior Cloud Services Engineer

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.

• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field or equivalent experience
• 5 or more years of technical experience
• Must be passionate about contributing to an organization focused on continuously improving consumer experiences
• 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
• Must have experience and ability to work remote

• 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

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.

The ideal candidate will possess strong technical depth in cloud technologies, ETL processes, data engineering, Salesforce ecosystems, and emerging AI capabilities while demonstrating excellent communication, collaboration, and mentoring skills.

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It is the policy of Humana not to discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or protected veteran status. It is also the policy of Humana to take affirmative action, in compliance with Section 503 of the Rehabilitation Act and VEVRAA, to employ and to advance in employment individuals with disability or protected veteran status, and to base all employment decisions only on valid job requirements. This policy shall apply to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including apprenticeship, at all levels of employment.

Originally posted on Himalayas