AWS Cloud Engineer

Your experience in public cloud migrations of complex systems, anticipating problems, and finding ways to mitigate risk, will be key in leading numerous public cloud initiatives
Drive, support, and deliver on a strategy to build broad use of Amazon's utility computing web services (e.g., AWS EC2, AWS S3, AWS RDS, AWS CloudFront, AWS EFS, AWS DynamoDB, CloudWatch, EKS, ECS, MFTS, ALB, NLB)
Design resilient, secure, and high performing platforms in Public Cloud using JPMC best practices
Utilize programming languages like Java, Python, SQL, Node, Go, and Scala, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services
Required qualifications, capabilities, and skills

Formal training or certification on software engineering concepts and 10+ years applied experience
Hands-on practical experience delivering system design, application development, testing, and operational stability
Advanced in one or more programming language(s) - Java, Python, Go
A strong understanding of business technology drivers and their impact on architecture design, performance and monitoring, best practices
Design and building web environments on AWS, which includes working with services like EC2, ALB, NLB, Aurora Postgres, DynamoDB, EKS, ECS fargate, MFTS, SQS/SNS, S3 and Route53
Advanced in modern technologies such as: Java version 8+, Spring Boot, Restful Microservices, AWS or Cloud Foundry, Kubernetes.
Experience using DevOps tools in a cloud environment, such as Ansible, Artifactory, Docker, GitHub, Jenkins, Kubernetes, Maven, and Sonar Qube
Experience and knowledge of writing Infrastructure-as-Code (IaC) and Environment-as-Code (EaC), using tools like CloudFormation or Terraform
Experience with high volume, SLA critical applications, and building upon messaging and or event-driven architectures

Expert in one or more programming language(s) preferably Java
AWS Associate level certification in Developer, Solutions Architect or DevOps
Experience in building the AWS infrastructure like EKS, EC2, ECS, S3, DynamoDB, RDS, MFTS, Route53, ALB, NLB
Experience with high volume, mission critical applications, and building upon messaging and or event-driven architectures using Apache Kafka
Experience with logging, observability and monitoring tools including Splunk, Datadog, Dynatrace. CloudWatch or Grafana
Experience in automation and continuous delivery methods using Shell scripts, Gradle, Maven, Jenkins, Spinnaker
Experience with microservices architecture, high volume, SLA critical applications and their interdependencies with other applications, microservices and databases
Experience developing process, tooling and methods to help improve operational maturity