Capco
AI DevOps Engineer (AWS)
US - Orlando · Full-time
Sponsorship not specifiedDetected 15 days ago
PythonVector DatabasesAWSGCPAzureCloud PlatformsDockerKubernetesTerraformCI/CDLinuxPrometheusGrafanaDatadogDevOpsSite Reliability EngineeringPlatform EngineeringMachine LearningLLMsMLOpsCybersecurityRecruitingCommunicationCollaboration
About the role
- Capco is looking for an experienced AI DevOps Engineer (AWS) to help design, build, and operate the cloud infrastructure that powers our Artificial Intelligence and Generative AI capabilities.
- Working within our Technology & Engineering Practice, you will enable AI Engineers and Data Scientists to deploy, scale, and manage AI solutions securely, reliably, and efficiently.
- This is a senior individual contributor opportunity for someone who enjoys hands-on engineering, automation, cloud-native technologies, and solving complex platform challenges while working alongside multidisciplinary teams delivering innovative solutions for leading financial institutions.
Responsibilities
- 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.
- At Capco, we use artificial intelligence (AI) tools to support and enhance several parts of talent acquisition.
- AI is used as a support tool only.
Requirements
- Experience implementing 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 skills with the ability to work effectively across cross-functional engineering teams.
- Experience with Microsoft Azure and/or Google Cloud Platform.
- Experience supporting Generative AI, Large Language Models (LLMs), MLOps, MLflow, SageMaker, Kubeflow, or similar technologies.
- Familiarity with vector databases, AI inference platforms, or modern model deployment architectures.
- Experience working within Financial Services or other highly regulated industries.
Nice to have
- Strong hands-on experience with AWS cloud services, Infrastructure as Code (Terraform preferred), CI/CD tooling, Docker, Kubernetes, Linux administration, and cloud networking fundamentals.
Skills
- AI DevOps Engineer (AWS)
- Permanent, Full-Time
Benefits
- Medical, Dental, and Vision coverage.
- 401(k) with company match, Health Savings Account (HSA), Flexible Spending Account (FSA), and commuter benefits.
- Maternity and paternity leave, dependent care support, and tuition reimbursement.
- Wellness reimbursement and Working Advantage employee discount marketplace.
- A people-first culture focused on continuous learning, career growth, and professional development.
Company info
- What We're Looking For
- At Capco, we believe that being yourself is your greatest strength.
This listing is sourced directly from Capco's careers page and normalized into a canonical job model.