Sr. DevOps Engineer - AWS Cloud

About Pictor Labs

Pictor Labs is the leading virtual staining company revolutionizing digital pathology adoption worldwide through cutting-edge AI-powered technology. Our solutions deliver diagnostic-quality results in minutes while preserving tissue samples for comprehensive analysis.

Our breakthrough DeepStain™ and ReStain™ technologies enable unlimited virtual staining from a single tissue sample, eliminating the bottlenecks and limitations of traditional chemical staining processes. This innovation supports the critical evolution from research applications to clinical deployment, empowering laboratories to advance their digital pathology capabilities while reducing chemical waste, improving operational efficiency, and expanding diagnostic possibilities.

About the Role

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.

Location: Remote US
Company: Pictor Labs
Employment Type: Full-time

Key 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

Required Qualifications

• 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

Preferred Qualifications

• 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

Success in This Role Looks Like

Within 6-12 months, you will have:

• Established robust, compliant infrastructure supporting Pictor's production AI models and SaaS platform
• Implemented comprehensive observability and monitoring across all production systems
• Optimized inference infrastructure to support processing times under 2 minutes for whole slide images
• Created documentation and processes that meet FDA and SOC2 audit requirements
• Designed containerization strategy supporting both cloud and Pictor Edge deployments
• Built strong collaborative relationships across engineering teams

Equal Employment Opportunity

Pictor Labs is an equal opportunity employer and does not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability, or other legally protected statuses.

Salary : $190,000 - $250,000