Cloud Platform Engineer / Kafka Engineer

the Project•Boston, MA

1d•Remote

About The Position

The Cloud Platform Engineer / Kafka Engineer will support a large-scale, multi-year healthcare platform transformation to develop a cloud-native Pharmacy Benefit Management (PBM) platform and migrate and re-implement existing PBM capabilities and client business. The initiative spans approximately 16 functional workstreams and involves platform engineering, capability development, integration, cloud transformation, and enterprise modernization. This is a hands-on cloud platform and infrastructure engineering role with a significant focus on Apache Kafka, Microsoft Azure, Azure DevOps, cloud infrastructure, cloud platform service design, and cloud platform architecture. The engineer will build, configure, maintain, support, and troubleshoot Kafka solutions and enterprise cloud platform environments, including Kafka deployed or supported within Azure. The role also supports cloud migration and modernization, complex enterprise integrations, and system configuration across multiple functional workstreams. The position is remote permitted, with Boston, Massachusetts also listed as a location. Occasional travel may be required; approved travel expenses are covered. The advertised pay rate is $58–$64 per hour. Professional healthcare industry experience and a professional degree are required. MMC offers health insurance plans to active candidates on assignment, including medical, dental, and vision coverage, life and disability insurance, and additional voluntary benefits.

Requirements

At least 6 years of Apache Kafka experience.
At least 6 years of Azure DevOps experience.
At least 6 years of cloud infrastructure experience.
At least 6 years of cloud platform service design experience.
At least 6 years of cloud platform architecture experience.
Professional degree required.
Hands-on experience installing and configuring Kafka.
Strong Kafka administration, support, and troubleshooting experience.
Experience deploying or supporting Kafka within Azure.
Strong Microsoft Azure cloud experience.
Experience designing and building enterprise cloud platforms.
Experience with cloud platform configuration and implementation.
Strong system configuration and troubleshooting capabilities.
Experience supporting complex enterprise technology environments.
Professional experience in the healthcare industry.
Strong communication, analytical, and cross-functional collaboration skills.
Candidates should be able to demonstrate relevant technical experience in professional work history and project descriptions.
Candidates should be prepared to discuss their personal experience designing, configuring, implementing, supporting, or troubleshooting Kafka environments.

Nice To Haves

Experience supporting large-scale cloud transformations, migrations, modernization initiatives, or enterprise re-platforming efforts is highly desirable.
Experience with Pharmacy Benefit Management, PBM, pharmacy platforms, healthcare benefits, health insurance, payer environments, or large healthcare technology transformations is particularly relevant.
Experience with enterprise messaging and cloud integration.

Responsibilities

Install, configure, maintain, and support Apache Kafka solutions within Azure environments.
Design, build, configure, and support enterprise cloud platform infrastructure.
Participate in cloud platform service design and implementation.
Apply cloud platform architecture principles to scalable enterprise solutions.
Configure and maintain Azure DevOps environments and processes.
Support cloud infrastructure configuration, implementation, and troubleshooting.
Troubleshoot complex Kafka, Azure, cloud platform, and infrastructure issues.
Support system configuration across complex enterprise environments.
Collaborate with architecture, engineering, application, infrastructure, and business teams.
Support cloud migration, platform modernization, and transformation initiatives.
Help transition existing healthcare capabilities to a modern cloud-native platform.
Support complex integration environments spanning multiple functional workstreams.
Participate in platform design and technical decisions throughout the transformation lifecycle.