AWS DevOps Engineer, MLOps

Job not on LinkedIn

🔥 16 hours ago

🗽 New York – Remote

🗽 New York – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

⛑ DevOps & Site Reliability Engineer (SRE)

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Capstone Integrated Solutions

WebsiteLinkedInAll Job Openings

51 - 200 employees

💼 Consulting

🛒 Retail

Consulting • Retail

Capstone Integrated Solutions is a full-service software and services company that specializes in retail software solutions. The company provides a wide range of IT services, including custom development, application development, project management, and systems integration. With a focus on customer experience and support, Capstone operates on a build-as-a-service model, delivering comprehensive technology solutions for various platforms and industries, particularly in the retail sector.

📋 Description

• Design and maintain CI/CD pipelines supporting automated testing, deployment, and change management across CDP, data lake, marketing cloud, and migration workstreams • Provision and manage AWS environments including S3 buckets, Glue jobs, networking, IAM, and VPCs for non-production development and staging • Ensure environments are logically segregated with no public internet access per SOW requirements • Implement and enforce infrastructure as code using AWS CDK or Terraform • Manage the MLOps lifecycle on Amazon SageMaker, including model versioning, deployment automation, endpoint monitoring, and automated retraining triggers • Support Amazon Bedrock integration deployments by managing prompt versioning, model configuration, and API endpoint reliability • Implement and maintain data lake security infrastructure using AWS Lake Formation, including row-level security, column-level encryption, and IAM permission boundaries • Support Azure-to-AWS migration execution, including target environment provisioning, AWS DataSync jobs, cutover procedures, freeze periods, and rollback plans • Monitor pipeline health, data job execution, and ML endpoint performance across AWS Glue, Step Functions, Lambda, Kinesis, and SageMaker using CloudWatch and AWS-native observability tools • Implement AWS cost optimization practices and provide guidance on Azure resource decommissioning post-migration • Coordinate change management processes, including documenting changes, obtaining approvals, executing peer-reviewed deployments, and maintaining rollback procedures • Collaborate with Data/ML and Full Stack engineers across data pipelines, ML inference, and application layers • Contribute to operations runbooks, deployment guides, and infrastructure documentation

🎯 Requirements

• 4+ years of DevOps or cloud infrastructure experience, with at least 2+ years on AWS • Hands-on experience with CI/CD tooling such as GitHub Actions, AWS CodePipeline, Jenkins, or equivalent in a multi-environment AWS setup • Proficiency with infrastructure as code using AWS CDK, CloudFormation, or Terraform • Working knowledge of MLOps practices on Amazon SageMaker, including model deployment, endpoint management, monitoring, and pipeline automation • Experience with AWS IAM, Lake Formation, VPC, and security best practices for data environments • Familiarity with AWS monitoring and observability tools including CloudWatch, CloudTrail, and AWS Config • Experience supporting data pipeline infrastructure including AWS Glue, Step Functions, Lambda, Kinesis, and S3 • Strong understanding of environment management, change control processes, and rollback procedures in enterprise delivery contexts • Ability to work in Agile/Scrum teams alongside AWS Professional Services with structured change approval workflows • Azure infrastructure and Azure-to-AWS migration experience (nice to have) • Familiarity with Amazon Bedrock deployment and API management (nice to have) • Experience with Amazon Connect or omnichannel platform infrastructure (nice to have) • Knowledge of data compliance and privacy controls (nice to have) • AWS Certification such as DevOps Engineer Professional, Solutions Architect, or Machine Learning Specialty (nice to have) • Exposure to Kiro CLI or AI-assisted infrastructure tooling (nice to have) • Background in real estate, property management, or enterprise SaaS environments (nice to have)

🏖️ Benefits

• Full-time contract employment • Equal opportunity employer committed to diversity and an inclusive, safe environment • Learning and professional growth culture • Knowledge sharing and continuous learning culture