Senior DevOps Platform Engineer
Humana
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Market check
How this pay compares to similar roles
This role pays less than 65% of similar roles. Most pay $126,912–$188,924 — the shaded band above. At the midpoint, this role pays about $150k versus about $158k for comparable roles.
Based on 240 similar postings.
Employer
Mastercard is a global technology company in the payments industry, processing transactions between financial institutions and merchants using its extensive network of credit, debit, and prepaid card products. Industry: Payments Technology & Financial Services
Mastercard currently has 116 open roles on FindRole.
Listed pay typically runs $122,000–$207,000 across 104 roles with salary data.
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At a glance
As a Senior AI Platform Engineer (DevOps), you will join the AI Platform Engineering team to build, operate, and evolve enterprise-grade AI platforms. You will design and implement foundational infrastructure that supports machine learning, generative AI, and advanced analytics workloads across public and private cloud environments. Your daily responsibilities include automating platform capabilities for seamless deployment, managing MLOps lifecycles, and developing observability solutions such as telemetry, logging, and drift detection. To succeed, you must possess expertise in Python, Kubernetes, OpenShift, Docker, and Helm, while utilizing Infrastructure as Code and CI/CD pipelines. You will solve complex problems regarding scalability, reliability, and governance for large-scale distributed systems. The role focuses on creating the underlying tools and infrastructure that enable internal teams to safely develop and scale AI-powered products across the enterprise.
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