Senior DevOps Engineer (TS/SCI) - AWS & ML for Geospatial

Capitalsolutionsgroup; Virginia (MN); On-site; USD 120,000 - 160,000; Full time

Job summary

Capitalsolutionsgroup seeks a Senior DevOps Engineer to design and operate scalable geospatial data platforms in AWS, focusing on fault-tolerant distributed systems and robust DevOps practices. You will implement, monitor, and optimize cloud infrastructure and ML model deployments using SageMaker and CloudWatch.

The role requires 5+ years of software development at scale, expertise in distributed systems, and strong IaC, containerization, and CI/CD capabilities across Python/TypeScript/Java.

Qualifications

• 5+ years of professional software development with experience at scale.
• Strong expertise in distributed systems design and microservice architecture.
• Deep understanding of cloud-native technologies and AWS services (ECS, Lambda, SQS, SNS, SageMaker, RDS, DynamoDB).
• Extensive experience with Infrastructure as Code (Terraform, CloudFormation, or CDK).
• Advanced proficiency in multiple programming languages (Python, TypeScript/JavaScript, Java, etc).
• DevOps: Monitoring (CloudWatch, Prometheus, etc), logging, and alerting.
• Experience with containerization (Docker, Kubernetes) and CI/CD pipelines.

Responsibilities

• Design and implement highly available, fault-tolerant, and distributed systems processing mass-scale geospatial datasets.
• DevOps and debugging of system performance, cloud infrastructure, and geospatial datasets.
• Deploy and monitor machine learning models in cloud environments, using AWS SageMaker and CloudWatch.

Skills

Software development at scale

Distributed systems design

Microservice architecture

Cloud-native technologies

Programming languages (Python, TypeScc

Education

Bachelor's Degree in CS or IT/Computer Engineering

Tools

AWS (ECS, Lambda, SQS, SNS, SageMaker, RDS, DynamoDB)

Terraform

CloudFormation

CDK

Docker

Kubernetes

Job description

Capitalsolutionsgroup seeks a Senior DevOps Engineer to design and operate scalable geospatial data platforms in AWS, focusing on fault-tolerant distributed systems and robust DevOps practices. You will implement, monitor, and optimize cloud infrastructure and ML model deployments using SageMaker and CloudWatch.

The role requires 5+ years of software development at scale, expertise in distributed systems, and strong IaC, containerization, and CI/CD capabilities across Python/TypeScript/Java.