Capco

2 weeks ago

AI DevOps Engineer (AWS)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Design, build, and operate AWS cloud infrastructure that enables AI and Generative AI platforms. Develop infrastructure as code with Terraform or CloudFormation, automate CI/CD for AI services, and manage containerized workloads using Docker and Kubernetes (Amazon EKS preferred). Ensure strong observability, security, and governance across environments while optimizing reliability, scalability, performance, and cost. Collaborate closely with AI, data, and solution engineering teams to improve platform operations.

Location: Orlando

Workplace: Hybrid

Employment Type: Full time · Permanent

Job Function: DevOps, Cloud & Infrastructure

Seniority: Mid level

Key Responsibilities

•Design, build, and maintain scalable AWS cloud infrastructure supporting AI, Machine Learning, and Generative AI platforms.
•Develop infrastructure as code using Terraform (preferred), AWS CloudFormation, or equivalent tools, and build automated CI/CD pipelines for AI applications and services.
•Deploy, manage, and optimize containerized workloads using Docker and Kubernetes (Amazon EKS preferred), supporting AI model deployment and lifecycle management.
•Implement monitoring, logging, observability, security, and governance across cloud environments while optimizing reliability, scalability, performance, and cost efficiency.
•Collaborate with AI Engineers, Data Scientists, Data Engineers, and Solution Architects to continuously improve platform engineering, automation, and operational excellence.

Pay and Benefits

Perks:Health InsuranceDentalVision401kHsaFsaCommuter BenefitsMaternity LeavePaternity LeaveDependent CareWellness StipendEmployee Discount

Key Requirements

•5–7 years of experience in DevOps, Cloud Engineering, Platform Engineering, or Site Reliability Engineering, supported by a Bachelor’s degree in Computer Science/Engineering/Information Systems (or equivalent practical experience).
•Strong hands-on AWS cloud experience including Infrastructure as Code (Terraform preferred), CI/CD tooling, Docker, Kubernetes, Linux administration, and cloud networking fundamentals.
•Experience supporting AI, Machine Learning, data platforms, or MLOps, with scripting skills in Python and/or Bash.
•Implement monitoring, observability, IAM, secrets management, cloud security, governance, and operational best practices using tools such as CloudWatch, Prometheus, Grafana, Datadog, or Splunk.
•Strong troubleshooting, communication, collaboration, and stakeholder engagement across cross-functional engineering teams.

Experience:5-7 yearsDevOpsCloud engineeringPlatform engineeringSite reliability engineeringAIMachine learningMLOpsFinancial services

Education:Bachelor's in Computer Science, Engineering, Information Systems (or equivalent practical experience)

Skills:TroubleshootingCommunicationCollaborationStakeholder engagement

Certifications:AWS Certified DevOps Engineer – ProfessionalAWS Solutions ArchitectAzure certificationGoogle Cloud certification

Tech Stack:AWSTerraformAWS CloudFormationInfrastructure as CodeCI/CDDockerKubernetesAmazon EKSMonitoringLoggingObservabilitySecurityGovernanceLinuxCloud networkingPythonBashIAMSecrets managementCloudWatch

Company Brief

Capco

Global management and technology consultancy specializing in financial services. Capco advises banks, insurers, and capital markets firms on digital transformation, risk and compliance, technology implementation, and operational improvement, combining industry expertise with advisory and engineering capabilities.

Industry: Management Consulting

Company Size: Enterprise (1,001+ employees)

Growth: Established Company

Headquarters: London, United Kingdom

Founded: 1998

Glassdoor: 3.7

Website LinkedIn

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Capco

2 weeks ago

AI DevOps Engineer (AWS)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Location: Orlando

Workplace: Hybrid

Employment Type: Full time · Permanent

Job Function: DevOps, Cloud & Infrastructure

Seniority: Mid level

Key Responsibilities

•Design, build, and maintain scalable AWS cloud infrastructure supporting AI, Machine Learning, and Generative AI platforms.
•Develop infrastructure as code using Terraform (preferred), AWS CloudFormation, or equivalent tools, and build automated CI/CD pipelines for AI applications and services.
•Deploy, manage, and optimize containerized workloads using Docker and Kubernetes (Amazon EKS preferred), supporting AI model deployment and lifecycle management.
•Implement monitoring, logging, observability, security, and governance across cloud environments while optimizing reliability, scalability, performance, and cost efficiency.
•Collaborate with AI Engineers, Data Scientists, Data Engineers, and Solution Architects to continuously improve platform engineering, automation, and operational excellence.

Pay and Benefits

Perks:Health InsuranceDentalVision401kHsaFsaCommuter BenefitsMaternity LeavePaternity LeaveDependent CareWellness StipendEmployee Discount

Key Requirements

•5–7 years of experience in DevOps, Cloud Engineering, Platform Engineering, or Site Reliability Engineering, supported by a Bachelor’s degree in Computer Science/Engineering/Information Systems (or equivalent practical experience).
•Strong hands-on AWS cloud experience including Infrastructure as Code (Terraform preferred), CI/CD tooling, Docker, Kubernetes, Linux administration, and cloud networking fundamentals.
•Experience supporting AI, Machine Learning, data platforms, or MLOps, with scripting skills in Python and/or Bash.
•Implement monitoring, observability, IAM, secrets management, cloud security, governance, and operational best practices using tools such as CloudWatch, Prometheus, Grafana, Datadog, or Splunk.
•Strong troubleshooting, communication, collaboration, and stakeholder engagement across cross-functional engineering teams.

Experience:5-7 yearsDevOpsCloud engineeringPlatform engineeringSite reliability engineeringAIMachine learningMLOpsFinancial services

Education:Bachelor's in Computer Science, Engineering, Information Systems (or equivalent practical experience)

Skills:TroubleshootingCommunicationCollaborationStakeholder engagement

Certifications:AWS Certified DevOps Engineer – ProfessionalAWS Solutions ArchitectAzure certificationGoogle Cloud certification

Company Brief

Capco

Industry: Management Consulting

Company Size: Enterprise (1,001+ employees)

Growth: Established Company

Headquarters: London, United Kingdom

Founded: 1998

Glassdoor: 3.7

Website LinkedIn