Senior Platform Engineer

Senior Platform Engineer

Summary

We are looking for a Senior Platform Engineer to join the Platform Engineering team at HDAI. You will

be a core contributor to the infrastructure that powers HealthVision, a clinical analytics platform that

processes data for health systems through serverless pipelines running AI inference, LLM-powered

summaries, and real-time patient analytics on AWS.

The platform runs across hundreds of AWS accounts in a multi-tenant model with per-customer

isolation, orchestrated through Terraform and GitHub Actions. You will work across the full

infrastructure stack: ECS, Lambda, DynamoDB, MongoDB, S3, SQS, VPC networking, and CI/CD.

There are legacy systems to retire, cost to cut, and automation to build.

You will have real ownership, work closely with the Manager of Platform Engineering, and collaborate

across engineering. We expect you to use AI tools daily to multiply your output.

Responsibilities

Infrastructure delivery. Build and maintain AWS infrastructure through Terraform. Write shared

modules, manage per-customer workspaces, and ensure environments are reproducible and version-

controlled. You'll be executing infrastructure changes across hundreds of workspaces regularly.

Automation and tooling. Build internal tools and automation that reduce manual work across the

engineering organization: CI/CD pipeline improvements (GitHub Actions, including our self-hosted

runner fleet), deployment tooling, customer onboarding automation, environment provisioning,

operational scripts.

Migration execution. Help move workloads onto the compute and data stores that fit them best,

retiring legacy systems along the way. Plan and execute migrations, move data safely, and

decommission old infrastructure.

Reliability and observability. Improve monitoring and alerting across the platform using Datadog

and CloudWatch. Participate in incident response and post-incident reviews.

Security and compliance. Implement HIPAA-compliant infrastructure patterns: IAM least-privilege

policies, encryption at rest and in transit, network isolation, audit logging, and data retention controls.Partner with the Security and Compliance team to maintain our SOC 2 and HITRUST posture.

Cost optimization. Identify and implement cost savings: S3 lifecycle policies, right-sizing compute,

eliminating unused resources, consolidating per-account overhead. Build cost visibility tooling and

alerts.

Cross-team collaboration. Everyone who ships on this infrastructure is your customer, and Product

Engineering is your closest one. Learn their workloads well enough to tell them a better way to run

them.

Qualifications

Required:

5 years of experience in cloud infrastructure, DevOps, platform engineering, or SRE.

Strong hands-on AWS experience across core services: Lambda, DynamoDB, S3, SQS, IAM,

VPC, CloudWatch, ECS/Fargate.

Terraform proficiency: modules, workspaces, state management, CI/CD-driven plan/apply.

Experience with CI/CD pipelines and deployment automation (GitHub Actions preferred).

Comfort with Python (our pipeline services are Python-based) and/or TypeScript.

AI-native engineering practice. You use AI tools (Claude Code, Copilot, or similar) as a core part

of your daily workflow.

Linux and networking fundamentals, and the security instincts to handle patient data carefully.

Clear written and verbal communication. You collaborate closely and communicate proactively

with team members on a daily basis.

A self-starter who can independently own problems from identification through solution and

delivery.

Preferred:

Experience with multi-tenant SaaS infrastructure, especially per-customer account isolation

patterns.

Experience with serverless architecture at scale (hundreds of Lambda functions, DynamoDB

single-table design, SQS-based orchestration).

Experience with Datadog or similar observability platforms.

Experience operating self-managed databases on EC2 (MongoDB, Postgres, or similar).

Experience planning and executing production migrations: re-platforming live workloads without

downtime or data loss.

Experience working in a regulated environment (HIPAA, SOC 2, PCI, FedRAMP , or similar).Kubernetes and Helm. Our self-hosted GitHub Actions runners run on EKS via actions-runner-

controller.

Familiarity with AWS Organizations, Transit Gateway, RAM (Resource Access Manager)

Pay: $160,000.00 - $185,000.00 per year

Benefits:

• 401(k)
• Dental insurance
• Flexible schedule
• Flexible spending account
• Health insurance
• Health savings account
• Life insurance
• Paid time off
• Retirement plan
• Tuition reimbursement
• Vision insurance

Work Location: Hybrid remote in Dedham, MA 02026

Salary : $160,000 - $185,000