Sr. Python Full Stack Engineer

QMD Scientific; Sandy Springs (GA); On-site; USD 130,000 - 180,000; Full time

Job summary

QMD Scientific is seeking a Senior Python Full Stack DevOps Engineer to join its platform engineering team in Georgia. You will bridge cloud infrastructure, scalable backends, and data-intensive apps powering healthcare workflows, owning serverless design on AWS and collaborating with data science, product, and clinical teams to deliver secure, compliant systems.

This high-impact role emphasizes engineering rigor and mission-driven work with real outcomes for patients and researchers.

Qualifications

• 5+ years of professional software engineering across backend and infrastructure automation.
• Expertise with AWS services and serverless architectures.
• Experience designing data-intensive systems and ETL pipelines.

Responsibilities

• Design and deploy cloud-native serverless applications on AWS.
• Architect and maintain scalable data pipelines using S3, Glue, Athena, Redshift, and DynamoDB.
• Build full-stack features with Python backends and React frontends.
• Lead infrastructure-as-code initiatives with Terraform and/or AWS CDK.
• Own CI/CD pipelines across GitHub Actions, CodePipeline, or equivalent tooling.
• Ensure HIPAA, SOC 2, and regulatory compliance; contribute to audit readiness.
• Mentor junior engineers and contribute to architecture reviews and roadmaps.

Skills

Python programming

Communication

Mentoring

DevOps culture

Tools

AWS Lambda

Terraform

AWS CDK

Docker

ECS/Fargate

Kubernetes (EKS)

GitHub Actions

API Gateway

S3

Glue

Athena

Redshift

DynamoDB

RDS (PostgreSQL/Aurora)

HL7/FHIR

Job description

Overview

We are seeking a Senior Python Full Stack DevOps Engineer to join our platform engineering team. In this role, you will be the connective tissue between cloud infrastructure, scalable backend systems, and data-intensive applications that power critical workflows in the healthcare and life sciences sector. You will own the design, deployment, and continuous improvement of serverless architectures on AWS, and collaborate closely with data science, product, and clinical teams to build systems that are reliable, secure, and compliant with industry standards.

This is a high-impact, high-ownership role. If you thrive in environments where engineering rigor meets mission-driven work; where the software you build has real outcomes for patients, clinicians, and researchers; we want to hear from you.

CORE TECHNOLOGY STACK

Python 3.x, AWS Lambda, FastAPI / Flask, React / Next.js, Terraform / CDK, S3 / Glue / Athena, DynamoDB / RDS, API Gateway, Docker / ECS / EKS, GitHub Actions, CI/CD Pipelines, HIPAA Compliance, HL7 / FHIR

KEY RESPONSIBILITIES

• Design and deploy cloud-native, serverless applications on AWS using Lambda, API Gateway, Step Functions, EventBridge, and SQS/SNS.


• Architect and maintain scalable data pipelines handling high-volume clinical and operational datasets using S3, Glue, Athena, Redshift, and DynamoDB.


• Build full-stack features spanning Python backend services and React frontends, ensuring seamless integration with cloud infrastructure.


• Lead infrastructure-as-code initiatives using Terraform and/or AWS CDK; enforce cloud cost optimization and security best practices.


• Own CI/CD pipeline development and maintenance across GitHub Actions, CodePipeline, or equivalent tooling; champion DevOps culture and automation.


• Ensure systems meet HIPAA, SOC 2, and relevant regulatory standards; contribute to audit readiness and compliance documentation.


• Participate in on-call rotations; drive incident response, root cause analysis, and blameless post-mortems.


• Mentor junior engineers and contribute to architecture reviews, technical roadmaps, and engineering standards.

REQUIRED QUALIFICATIONS

• 5+ years of professional software engineering experience, with strong Python development across both backend services and infrastructure automation.


• Demonstrated expertise with AWS services: Lambda, API Gateway, S3, DynamoDB, RDS (PostgreSQL/Aurora), Step Functions, IAM, CloudWatch, and related serverless stack.


• Hands-on experience designing and operating data-heavy systems — ETL pipelines, data lakes, stream processing, or real-time analytics at scale.


• Infrastructure-as-code experience with Terraform, AWS CDK, or CloudFormation; understanding of networking (VPC, security groups, load balancing).


• Proven CI/CD pipeline design and ownership across multiple environments (dev/staging/prod) with robust testing and rollback strategies.


• Containerization expertise with Docker; experience with ECS Fargate or EKS for container orchestration.


• Strong understanding of security principles in cloud environments: secrets management (AWS Secrets Manager / Parameter Store), least-privilege IAM, encryption at rest and in transit.


• Excellent communication skills; ability to translate complex technical concepts for cross-functional stakeholders.

PREFERRED QUALIFICATIONS

• Prior work in MedTech, Pharma, Clinical Trials, Hospital Technology, or Digital Health environments is a significant differentiator. Familiarity with HL7, FHIR, DICOM, or EDI healthcare data standards is highly valued.


• Experience with real-time data streaming platforms such as Apache Kafka, AWS Kinesis, or MSK.


• Familiarity with ML/AI integration patterns — MLflow, SageMaker, or similar model deployment and monitoring workflows.


• Exposure to regulatory compliance frameworks: HIPAA, GxP, 21 CFR Part 11, or SOC 2 Type II.


• AWS certifications (Solutions Architect, Developer, or DevOps Engineer — Associate or Professional).


• Experience with observability tooling: Datadog, New Relic, OpenTelemetry, or AWS X-Ray.