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NMDP · 7 hours ago

Senior Cloud Engineer

Home Based, Minneapolis, MN, 55401, US

Full-time

Onsite

Senior Level

$105K/yr - $130K/yr

5+ years exp

NMDP is seeking a Senior Cloud Engineer responsible for designing, implementing, and automating cloud-based solutions that empower software engineering teams. This role focuses on evaluating new cloud services, building automation frameworks, and collaborating with development teams to integrate cloud capabilities that accelerate software delivery and innovation.

Health CareHealth DiagnosticsMedicalMedical Device

Comp. & Benefits

Responsibilities

Evaluate, implement, and support new AWS cloud services and features to enhance software engineering productivity

Build and maintain automation frameworks for deployment, configuration, and monitoring of cloud resources and application environments

Collaborate with software engineering teams to design cloud-native solutions and integrate cloud services into development workflows

Drive adoption of optimization practices: rightsizing, storage tiering, serverless technology usage, and autoscaling strategies to improve value

Collaborate with engineering, finance, and business stakeholders to translate infrastructure needs and changes into financial impacts

Develop and maintain CI/CD pipelines and automation tools to streamline application delivery

Promote knowledge sharing and cloud best practices across engineering teams

Monitor cloud environments for performance, reliability, and security, and proactively address issues

Stay current with industry trends and emerging AWS services, identifying opportunities to improve development processes

Ensure all solutions adhere to defined architecture and security standards

Communicate effectively with business units, IT infrastructure, information security, and software engineering teams

Provide timely status updates on projects and tasks to leadership and team members

Other duties as assigned

Qualification

AWS cloud servicesCloud financial managementInfrastructure as CodeCI/CD pipelinesContainerization (Docker)Orchestration (Kubernetes)Automation toolsProgramming languagesAgile methodologiesAnalytical skillsCommunication skills

Required

Deep experience with AWS cloud services, including compute, storage, networking, and managed services

Deep understanding of cloud financial management principles (FinOps), including cost allocation, budgeting, forecasting, and optimization strategies

Understanding of Generative AI architecture and AWS AI services including SageMaker, BedRock and Q

Proficient in one or more programming/scripting languages (e.g., Python, Java, Ruby, Groovy)

Proficient with writing, managing, and upgrading Infrastructure as Code (Terraform, OpenTofu or AWS CloudFormation)

Experience with cloud migration projects and disaster recovery planning

Experience with containerization (Docker) and orchestration (Kubernetes), including Helm chart management

Experience building and managing CI/CD pipelines using tools such as GitLab, Bitbucket, or Bamboo

Experience with automation tools (Ansible, Chef, or Puppet) and shell scripting

Experience with authentication, authorization, and security best practices in cloud environments

Experience with application monitoring systems and service discovery platforms

Understanding of agile methodologies, API architectures, and standard data formats (JSON, XML, YAML)

Rapidly learn and apply new AWS services and technologies

Collaborate effectively with software engineering teams to deliver cloud solutions

Develop proof-of-concept solutions and estimate the impact of technology alternatives

Communicate technical cloud concepts in business and financial terms to non-technical stakeholders

Demonstrate excellent planning, organizational, analytical, and interpersonal skills

Work independently and as part of a team to solve complex problems

Bachelor's degree in computer science, math, or related technical field that required extensive computer programming skills. However, upon evaluation, equivalent related experience and/or education may be substituted for the degree

Five or more years' technical work experience working independently and within a Cloud Engineering or DevOps team (or comparable role) supporting Software Engineering teams

Experience collaborating with engineering teams to deploy and operate systems, automate processes, and resolve issues in cloud environments