Senior DevOps Engineer (AWSMSA-03.0128425)
Capitalsolutionsgroup · Springield, VA --or-- Herndon, VA
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- Location
- Springield, VA --or-- Herndon, VA
- Type
- Full-time
- Posted
SECURITY CLEARANCE: TS/SCI with Polygraphs are required (VA)
POSITION: Senior DevOps Engineer
REQUISITION: AWSMSA-03.0128425
LOCATION: Springfield, VA --or-- Herndon, VA
JOB DESCRIPTION:
- 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 services like AWS SageMaker and CloudWatch.
- Advanced in Typescript, Python (Or OOP), writing and reviewing code for enterprise scale applications.
- Possess excellent problem-solving skills and the ability to work independently within a fast-paced environment
REQUIREMENTS:
- 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
QUALIFICATIONS:
CERTIFICATION: any AWS certification(s) are preferred
EDUCATION & EXPERIENCE:
- Bachelor's Degree + 5 years
NOTE: Degree in computer science or IT computer engineering from an accredited college or university.
SECURITY CLEARANCE: TS/SCI with Polygraphs are required (VA)
POSITION: Senior DevOps Engineer
REQUISITION: AWSMSA-03.0128425
LOCATION: Springfield, VA --or-- Herndon, VA
JOB DESCRIPTION:
- 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 services like AWS SageMaker and CloudWatch.
- Advanced in Typescript, Python (Or OOP), writing and reviewing code for enterprise scale applications.
- Possess excellent problem-solving skills and the ability to work independently within a fast-paced environment
REQUIREMENTS:
- 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
QUALIFICATIONS:
CERTIFICATION: any AWS certification(s) are preferred
EDUCATION & EXPERIENCE:
- Bachelor's Degree + 5 years
NOTE: Degree in computer science or IT computer engineering from an accredited college or university.
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