Data Platform Engineering

• MInimum 5 years of experience is required
• Provide guidance and aid in critical design decisions to create a public/private cloud hybrid solution for Wawa systems between cloud and store.
• Hands on experience with AWS cloud networking including VPCs, Subnets, Security Groups, ACLs, Transit Gateways, ALB/NLB, Route53, ACM, API Gateway and related technologies.
• Understanding of networking processing, protocols, and standards - TCP/IP, UDP, DNS, HTTP
• Hands on experience with security mechanisms including mTLS, x509, OpenID Connect, JWT/JWE, OAuth2, PEP/PDP, SAML, WS-Security, Basic Auth and ABAC/RBAC based policies.
• Hands on “code first” development of cloud configuration and components from the ground up using tools like Github, Terraform, Pulumi.
• Strong hands on experience in one or more development languages including Java, Golang, Groovy and others.
• Test driven development approach to code development including infrastructure development.
• Design for observability, all cloud and application components should be clearly instrumented from the ground up.
• Experience with Open Trace, AWS Cloud Watch, DataDog, Prometheus, ELK, Grafana, Hystrix,, App Dynamics, NetCool and other tools to ensure the cloud is operating as expected.
• Experience with continuous delivery (CD) tooling including Jenkins, GitLab, Travis CI, GoCD and others.
• Experience with Containers including tools like Docker, Kubernetes, ECS/ECR, OpenShift, LXC and other related technologies and tools.
• Experience with event driven asynchronous architectures including tooling like Kafka, Kinesis, RabbitMQ and ActiveMQ.

Mandatory Skills :

• Docker/Kubernetes/DevOps pipeline
• Infrastructure as code on Google/AWS cloud
• Microservices
• Spring/Spring Boot
• NoSQL Databases
• TDD

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