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Hybrid/remote, popular DevOps title, metro location, and broad AWS/Kubernetes skillset increase competition.
Deep AWS, Kubernetes, and AI/ML platform expertise reduces cross-industry transferability.
Explicit 7–10 years plus mandatory AWS, Kubernetes, IaC and AI/ML platform skills enforce strict filters.
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Own design, build, and maintenance of cloud-native applications on AWS using extensive Kubernetes and serverless services expertise.
Manage and operate AI/ML platforms on AWS, incorporating event-driven and microservices architectures.
Develop infrastructure as code using AWS CDK, Terraform, or CloudFormation; support DevOps processes including CI/CD and troubleshooting across full stack.
7-10 years of experience in DevOps and AWS ecosystem.
Strong hands-on experience with AWS services including Lambda, API Gateway, DynamoDB, SQS, Cognito, CloudWatch, AWS Glue, Step Functions, S3, ECS, and EKS.
Proficiency in at least one programming language such as Python, Java, Golang, TypeScript, or React.
Experience with Kubernetes cluster management and infrastructure as code tools like AWS CDK, Terraform, or CloudFormation.
Experienced in building and scaling production Kubernetes clusters and cloud-native serverless applications on AWS with a focus on scalable, event-driven microservices.
Comfortable working on AI/ML platforms and integrating DevOps practices including CI/CD pipeline management and full stack troubleshooting.
Strong programming and infrastructure as code skills, capable of contributing across front-end and back-end solutions in a financial services environment.