Senior Cloud & Infrastructure Engineer

maxRTE

23h

About The Position

As a Senior Cloud & Infrastructure Engineer at maxRTE, you will help own the full breadth of our AWS cloud environment, network infrastructure, and internal IT operations. This is a high-impact, variety-filled role at a strong health tech company where your work will directly shape the security, reliability, and scalability of systems that healthcare providers and patients depend on every day. You will make a significant positive impact across networking, security, cost optimization, and developer tooling while collaborating closely with our platform engineering team to align infrastructure decisions with product goals. If you thrive in environments where no two days look the same and you take genuine pride in making systems cleaner, tighter, and more automated than you found them - we'd love to hear from you.

Requirements

5+ years of experience in cloud infrastructure, DevOps, or a related engineering role.
Deep hands-on experience with AWS: VPC, Site-to-Site VPN, EC2, Lambda, ECR, IAM, CloudFormation, CloudWatch, Security Hub, and related services.
Proven ability to design and implement Infrastructure as Code (CloudFormation, Terraform, or equivalent).
Experience identifying, triaging, and remediating security vulnerabilities across cloud resources and application code.
Ability to read, understand, and make targeted fixes in Python, C#/.NET, and/or Node.js codebases.
Experience managing IT administration for a distributed team: MDM/device management, identity providers, and RBAC.
Strong written and verbal communication skills — able to translate technical findings into clear action items for engineering and leadership.
Comfort working autonomously in a small-team environment with broad, varied ownership.
Understanding of HIPAA compliance requirements and how they apply to cloud infrastructure.

Nice To Haves

Experience with Rippling for device management, identity, and HR/IT workflows.
Familiarity with healthcare revenue cycle management or clinical data infrastructure.
Experience with RabbitMQ, ECS/EKS, or containerized workload management.
Background working in a SaaS or health tech environment.

Responsibilities

Own and improve Site-to-Site VPN setup, including VPC architecture, route tables, subnets, and security groups for client connectivity.
Design and implement automated client onboarding experiences using templating and Infrastructure as Code
Harden existing network configurations to improve security posture and reduce manual intervention for each new client connection.
Help manage interface infrastructure supporting healthcare data integrations, ensuring availability, performance, and observability.
Continuously monitor and remediate security vulnerabilities across AWS resources — Lambdas, ECR images, EC2 instances, and beyond — using AWS Inspector, Security Hub, and related tooling.
Patch and resolve critical and high-severity vulnerabilities in Python, C#, and Node.js codebases; escalate larger code changes to platform or product engineers as needed.
Drive meaningful, measurable reductions in our vulnerability count over time through proactive hygiene, dependency management, and tooling improvements.
Maintain and improve HIPAA-compliant configurations across all cloud resources and services.
Manage device security, enrollment, and lifecycle including remote wipe capabilities and MDM tooling (experience with Rippling a plus).
Own identity and access management across AWS (IAM), internal applications, and SaaS tools — enforcing least-privilege and RBAC principles.
Administer device vulnerability scanning and ensure endpoint compliance for a distributed remote workforce.
Support onboarding and offboarding workflows including provisioning and deprovisioning accounts, devices, and access across all platforms.
Monitor, analyze, and optimize AWS spend across all services, identifying cost reduction opportunities without sacrificing reliability.
Evaluate and improve existing cloud integrations and identify new tooling that meaningfully improves developer or operational efficiency.
Streamline repetitive infrastructure processes through automation, scripting, and templating.
Serve as a go-to resource for the engineering team on AWS resource questions, environment access issues, and infrastructure debugging.