Sr. DevOps Engineer - AWS Cloud

PICTOR LABS INC•Austin, TX

1d•$190,000 - $250,000•Remote

About The Position

We're seeking an AWS Cloud Operations Architect to design, build, and maintain the cloud and edge infrastructure that powers our AI-driven virtual staining platform. You'll ensure our infrastructure is secure, compliant, scalable, and performant—supporting both our cloud-based SaaS platform and Pictor Edge device deployments. This role requires deep AWS expertise combined with a strong understanding of regulated healthcare environments and AI/ML production workloads.

Requirements

Bachelor's degree in Computer Science, Engineering, or related field (or equivalent practical experience)
7+ years of experience in DevOps, Cloud Operations, or Site Reliability Engineering with focus on AWS infrastructure
Demonstrated experience with SOC2, HIPAA, or FDA-regulated software environments
2+ years of hands-on experience with production AI/ML infrastructure and workloads
Strong proficiency with AWS services: EC2, S3, RDS, Lambda, EKS, VPC, IAM, CloudFront, CloudWatch, and AWS MSK
Expert-level experience with Infrastructure as Code tools (Terraform or CloudFormation)
Hands-on experience with Cloudflare services including CDN, DNS, WAF, and DDoS protection
Proven experience deploying and managing Apache Kafka or AWS MSK in production environments
Production experience with Docker containerization and Kubernetes orchestration (EKS)
Strong scripting abilities in Python and Bash for infrastructure automation
Experience with CI/CD tools such as GitHub Actions, GitLab CI, Jenkins, or CircleCI
Hands-on experience with monitoring and logging tools (Prometheus, Grafana, ELK Stack, CloudWatch)
Deep understanding of security best practices for cloud infrastructure, applications, and networking
Excellent problem-solving skills, meticulous attention to detail, and strong technical documentation skills

Nice To Haves

AWS Certified Solutions Architect, DevOps Engineer, or Security Specialty certification
Experience with ML inference optimization and GPU-accelerated workloads
Knowledge of FDA 21 CFR Part 11 requirements and medical device software lifecycle
Experience deploying containerized applications to edge devices or on-premise infrastructure
Familiarity with NVIDIA GPU infrastructure and CUDA optimization
Experience with model serving frameworks (NVIDIA Triton, TorchServe, TensorFlow Serving)
Background in digital pathology, medical imaging, or healthcare technology
Experience with multi-cloud or hybrid cloud architectures and MLOps workflows

Responsibilities

Design and maintain highly available, secure, and scalable cloud infrastructure on AWS using Infrastructure as Code (Terraform, CloudFormation)
Design and manage AWS services including EC2, S3, RDS, Lambda, EKS, VPC, IAM, API Gateway, CloudFront, and CloudWatch
Design infrastructure to support both cloud-based services and containerized edge deployments for Pictor Edge devices
Design and maintain inference infrastructure for large-scale pathology image processing and optimize GPU-accelerated workloads for production AI models (Deepstain, Restain, ClearStain)
Support model serving infrastructure (TorchServe, NVIDIA Triton, or similar) and set up data pipelines using Apache Kafka and AWS MSK
Implement and maintain SOC2 and HIPAA compliance controls across all infrastructure
Support FDA medical device software requirements including audit trails, access controls, and validation documentation
Manage Cloudflare services (CDN, DNS, WAF, SSL/TLS) and integrate security best practices across all infrastructure layers
Build and optimize CI/CD pipelines for efficient code delivery and automate infrastructure provisioning and deployment processes
Implement comprehensive monitoring and alerting using Cloud Watch, Prometheus, Grafana and ELK Stack
Establish SLAs and SLOs for production services, design disaster recovery procedures, and provide incident response for production systems
Partner with Software Engineering, ML Engineering, ML Research, and Edge Device teams to deliver optimal solutions
Mentor engineers on cloud architecture, DevOps practices, and security best practices