Cloud Infrastructure Engineer - AWS & ML Tooling

Zelis Healthcare
Boston, United States of America
16 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Remote
Boston, United States of America

Tech stack

Amazon Web Services (AWS)
Amazon Web Services (AWS)
Automation of Tests
Bash
Cloud Computing
Cloud Engineering
DevOps
DNS
Github
Identity and Access Management
Data Intelligence
Python
Network Architecture
Reliability Engineering
Ruby
Load Balancing
Cloud Platform System
Delivery Pipeline
Amazon Web Services (AWS)
Cloudformation
Machine Learning Operations
Cloudwatch
Terraform
Jenkins

Job description

Zelis is seeking a hands-on Infrastructure Engineer to help scale and mature our cloud and automation environment. This role sits within our Data Intelligence group and works closely with the Cloud Center of Excellence (CCOE) to support production infrastructure needs for data, analytics, and ML-based applications on AWS.

While this is not an MLOps engineer role, familiarity with services like SageMaker and the ability to support ML workflows from an infrastructure standpoint is important. Your core focus will be automation, deployment pipelines, cloud networking, security best practices, and ensuring the resilience and performance of our AWS-hosted environments.

What You'll Do

  • Build and maintain AWS infrastructure using Terraform or CloudFormation (IaC)
  • Manage containerized applications using ECS and help optimize SageMaker infrastructure used by ML teams
  • Design, monitor, and improve networking architecture including VPCs, security groups, load balancers, and DNS
  • Maintain and enhance CI/CD pipelines to support automated testing, deployment, and rollback
  • Collaborate with engineering teams to optimize deployment flows and reduce friction across environments
  • Implement infrastructure security and support compliance efforts (HIPAA, SOC2, etc.)
  • Participate in cost optimization reviews and system uptime monitoring, troubleshooting as needed

Requirements

  • 5+ years of DevOps, Infrastructure, or Site Reliability Engineering experience in a cloud-native production environment
  • Deep expertise with AWS services, particularly ECS, EC2, VPC, IAM, and CloudWatch
  • Experience managing ML-adjacent infrastructure, particularly AWS SageMaker
  • Strong background in infrastructure as code (Terraform, CloudFormation)
  • Comfortable writing deployment and automation scripts in Python, Bash, or Ruby
  • Hands-on experience implementing secure, compliant cloud environments

Preferred

  • AWS Solutions Architect Associate or Professional certification
  • Experience migrating legacy workloads to AWS
  • Familiarity with GitHub Actions, Jenkins, or other CI/CD tools
  • Understanding of supporting analytics and ML teams from an ops perspective

What This Role Is Not

  • Not a data science or MLOps role (though you'll support ML infrastructure)
  • Not a high-level strategic platform architect
  • Not focused on theoretical platform ownership or innovation fluff This is a practical, engineering-first role focused on well-structured, scalable infrastructure and automation in AWS.

About the company

Zelis is modernizing the healthcare financial experience for all by providing a connected platform that bridges the gaps and aligns interests across payers, providers, and healthcare consumers. This platform serves more than 750 payers, including the top 5 national health plans, BCBS insurers, regional health plans, TPAs and self-insured employers, and millions of healthcare providers and consumers. Zelis sees across the system to identify, optimize, and solve problems holistically with technology built by healthcare experts-driving real, measurable results for clients. A Little About You You bring a unique blend of personality and professional expertise to your work, inspiring others with your passion and dedication. Your career is a testament to your diverse experiences, community involvement, and the valuable lessons you've learned along the way. You are more than just your resume; you are a reflection of your achievements, the knowledge you've gained, and the personal interests that shape who you are.

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