6 hours ago
Remote, United StatesMid Level
Responsibilities
- Design and maintain CI/CD pipelines for automated testing, deployment, and change management across CDP, data lake, marketing cloud, and migration workstreams.
- Provision and manage secure, logically segregated AWS development and staging environments using services including S3, Glue, IAM, VPC, and networking.
- Implement reproducible and auditable infrastructure as code using AWS CDK, CloudFormation, or Terraform.
- Manage Amazon SageMaker MLOps lifecycles, including model versioning, deployment automation, endpoint monitoring, and retraining triggers.
- Support Amazon Bedrock integration deployments through prompt versioning, model configuration, and API endpoint reliability management.
- Implement data lake security with AWS Lake Formation, row-level security, column-level encryption, and IAM permission boundaries.
- Support Azure-to-AWS migration execution, including AWS environment provisioning, DataSync jobs, cutovers, freeze periods, and rollback plans.
- Monitor pipeline health, data jobs, and ML endpoint performance across AWS Glue, Step Functions, Lambda, Kinesis, and SageMaker using CloudWatch and AWS observability tools.
- Optimize AWS costs and advise on Azure resource decommissioning after migration.
- Coordinate approved, peer-reviewed change deployments and maintain rollback procedures, runbooks, deployment guides, and infrastructure documentation.
Requirements
- 4+ years of DevOps or cloud infrastructure experience, including at least 2+ years on AWS.
- Hands-on experience with CI/CD tooling such as GitHub Actions, AWS CodePipeline, Jenkins, or equivalent in multi-environment AWS deployments.
- Proficiency with AWS CDK, CloudFormation, or Terraform for infrastructure as code.
- Working knowledge of Amazon SageMaker MLOps, including model deployment, endpoint management, monitoring, and pipeline automation.
- Experience with AWS IAM, Lake Formation, VPC, and security practices for data environments.
- Familiarity with CloudWatch, CloudTrail, and AWS Config for monitoring and observability.
- Experience supporting data pipeline infrastructure with AWS Glue, Step Functions, Lambda, Kinesis, and S3.
- Strong understanding of environment management, change control, and rollback procedures in enterprise delivery contexts.
- Ability to work in Agile/Scrum teams alongside AWS Professional Services within structured change approval workflows.
- Preferred experience with Azure infrastructure, Azure-to-AWS migration, DataSync, networking, and decommissioning.
- Preferred familiarity with Amazon Bedrock, Amazon Connect, omnichannel platform infrastructure, data compliance and privacy controls, Kiro CLI, or AI-assisted infrastructure tooling.
- AWS Certification such as DevOps Engineer Professional, Solutions Architect, or Machine Learning Specialty is preferred.
- Background in real estate, property management, or enterprise SaaS environments is preferred.
Benefits
- Full-time contract position.
- Equal opportunity employer committed to an inclusive and safe workplace.
- The company supports professional growth, learning, knowledge sharing, and cross-functional development.
Categories
About Capnexus
CapNexus builds and supports enterprise and retail technology solutions, including POS and ERP implementations, custom application development, and cloud/AI modernization. The privately held firm is headquartered in Middletown, New York and offers consulting, implementation, and managed services across AWS, data/analytics, and quality assurance. Formed by unifying Capstone Integrated Solutions, RPE Solutions, and Makira, it serves retailers and other enterprises modernizing operations and customer experience.