Senior Cloud Services Engineer

This is a fully remote position, open to applicants in Florida, +2 more states.

📋 Description

• Facilitate the use of cloud technologies to ensure optimal performance, continuity, and efficiency within virtualized, on-demand environments.

• Employ software to oversee and monitor networks, systems, and applications in cloud software environments.

• Coordinate and automate resource provisioning processes.

• Assist in essential cloud engineering, ETL, Salesforce, AI, security, and DevOps projects.

• Collaborate with technical teams to deliver scalable, dependable, and secure solutions.

• Shape departmental strategy and make informed decisions regarding technical methodologies for project elements.

• Establish objectives and methods for assignments with minimal supervision.

• Act as a mentor to junior associates.

• Engage in continuous improvement initiatives throughout the organization.

• Support strategic cloud, data engineering, DevOps, and AI projects that are vital to business operations and digital transformation.

• Collaborate with stakeholders to address complex technical challenges.

• Guide technical direction across various platforms.

• Operate as an independent technical contributor in cloud, data engineering, Salesforce, and AI domains.

⛳️ Requirements

• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field, or equivalent experience.

• A minimum of 5 years of technical experience.

• A strong desire to contribute to an organization dedicated to enhancing consumer experiences continuously.

• Experience in a Salesforce environment.

• A solid understanding of data engineering concepts, ETL, and distributed processing, particularly with Databricks and Informatica.

• Intermediate programming skills in Python.

• Familiarity with Large Language Models (LLMs), prompt engineering, Retrieval-Augmented Generation (RAG), embeddings, and vector databases for Generative AI applications.

• Knowledge of MLOps and the management of model lifecycles.

• Experience with cloud platforms such as Azure, AWS, or Google Cloud Platform.

• Familiarity with DevOps practices, including CI/CD pipelines, Infrastructure as Code (IaC), and Copado.

• Understanding of monitoring, observability, logging, and alerting methodologies.

• Awareness of security, Identity and Access Management (IAM), data privacy, and responsible data governance practices.

• Experience with both structured and unstructured data.

• Familiarity with Kubernetes, Docker, or other container orchestration technologies.

• Excellent verbal and written communication skills.

• Proven experience collaborating with cross-functional teams.

• Experience working in Agile environments.

• Ability to work remotely is essential.

• Strong technical expertise in cloud technologies, ETL processes, data engineering, Salesforce ecosystems, and emerging AI capabilities.

• Preferred: Master's degree in Computer Science, Information Technology, Engineering, Data Science, or a similar field.

• Preferred: Advanced SQL skills with experience in developing complex queries and data solutions.

• Preferred: Strong programming abilities in Python.

• Preferred: Experience with Kubernetes, Docker, or other container orchestration technologies.

• Preferred: Proven expertise with Agentic AI and Databricks ETL.

• Preferred: Experience mentoring junior engineers or technical team members.

• Preferred: Experience in supporting healthcare or highly regulated environments.

• Preferred: Relevant cloud certifications such as Azure, AWS, Databricks, Kubernetes, or similar.

• Preferred: Experience with enterprise-scale cloud transformation projects.

• Preferred: Background in supporting large-scale data platforms and analytics environments.

🏝️ Benefits

• Bonus incentive plan based on company and/or individual performance.

• Comprehensive medical, dental, and vision benefits.

• 401(k) retirement savings plan.

• Paid time off.

• Company holidays and personal holidays.

• Paid parental and caregiver leave.

• Short-term and long-term disability coverage.

• Life insurance.

• Support for personal wellness and informed healthcare decisions.

• Remote work arrangement.

• Occasional travel to Humana offices for training or meetings.