Senior Cloud DevOps Engineer

March 29

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MedeAnalytics

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MedeAnalytics is a leading healthcare data management and analytics company that empowers healthcare organizations to improve patient care and financial outcomes through advanced analytics and artificial intelligence. Their solutions focus on key areas such as real-time data integration, revenue cycle management, and quality insights. With innovative technologies like Health Fabric and Data Science Factory, MedeAnalytics offers seamless data orchestration, predictive and prescriptive insights, and integrated analytics, helping providers, payers, and employers optimize performance. Their strategic advisory services also support healthcare organizations in addressing compliance and efficiency challenges. MedeAnalytics is committed to transforming healthcare data into actionable insights, fostering better care and financial health across the healthcare ecosystem.

analytics • performance • healthcare • clinical • financial

201 - 500 employees

Founded 2006

☁️ SaaS

⚕️ Healthcare Insurance

🤖 Artificial Intelligence

📋 Description

• MedeAnalytics is seeking a highly motivated Senior Cloud DevOps Engineer with a passion for AI, data science, and cloud automation to join our Cloud Engineering team. • This lead role will drive automation initiatives aligned with our R&D strategy, support cloud migrations, and manage the cloud infrastructure in a SaaS environment. • You will collaborate with product development to design and maintain scalable, reliable, and secure solutions, ensuring best practices in DevOps and cloud computing. • If you thrive in a fast-paced, innovative environment and are committed to improving healthcare outcomes, we encourage you to apply.

🎯 Requirements

• Bachelor’s degree in computer science, Engineering, or a related field. • 3+ years of experience as a DevOps Engineer or a similar role, with a focus on AI and data science. • Certification in AWS (Amazon Web Services) is required, demonstrating a strong understanding of cloud architecture, services, and best practices. • Kubernetes certification (CKA or CKAD) is required, showcasing expertise in container orchestration, deployment, and management at scale. • Strong proficiency in AWS cloud services and tools. • Experience with Terraform and AWS CloudFormation for infrastructure automation. • In-depth knowledge of Kubernetes and containerization technologies (Docker). • Experience with Helm charts and CI/CD pipelines, tailored for AI and data science workflows. • Understanding of scripting languages (e.g., Bash, Python). • Excellent problem-solving and troubleshooting skills. • Strong communication and collaboration abilities.

🏖️ Benefits

• Comprehensive Medical, Dental, and Vision Coverage – Effective the first of the month following your start date • Company-Paid Life & AD&D Insurance, plus Short-Term and Long-Term Disability (STD/LTD) • Company-Paid Employee Assistance Program (EAP) premium tier for your wellbeing • 401(k) Plan with company match • Paid Holidays and Paid Time Off (PTO) Accruals • Employee Referral Bonus Program • Professional Development Opportunities to support your growth • And More!