Software Engineering LMTS

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About Salesforce

We’re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too — driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good – you’ve come to the right place.

Hyperforce Core CRM Engineering Team is seeking talented and experienced software engineer to design, develop and deliver core runtime technologies that power Salesforce architecture; improve site latencies, scalability and overall customer experience across our multi-tenant services.  All our services are designed to be continuously delivered, delivered at scale, updated with zero downtime, in a rapidly evolving modern cloud-native architecture.

An ideal candidate is an experienced developer that has proven cloud-native expertise in docker/kubernetes-based micro service architecture and developing elastically scalable services for deployment to multi-substrate, zero-trust architecture cloud platforms including Salesforce own internal IaaS, AWS, or GCP. You have prior experience with alternative deployment strategies like Blue Green and Rolling updates, Spinnaker, Service Mesh and Argo. Having working experience with server-side Java container internals, application server performance, understanding of design patterns, scalable data structures, web technologies, and caching strategies is a plus. Having a track record of building solutions to solve performance and scalability challenges in large scale distributed system with a sense of service ownership is a big plus. The features you design and develop will be deployed across the entire Salesforce production site which handles billions of trust transactions per day.

Responsibilities

* Build optimal layered large docker containers using cloud-native build-packs.
* Design and implement deployment strategies (viz., Blue Green & Rolling updates) with Service Mesh native Argo.
* Implement autoscaling of monolithic service using Kubernetes horizontal pod autoscaler. 
* Enhance autoscaling with the use of custom metrics and AI-guided synthetic models.
* Reimagine release tooling to support continuous delivery and true zero-downtime deployments.
* Monitor the team support slack channel with a trust master on rotation and a pager duty.
* Be part of the service on-call rotation with pager duty and monitor the team support slack channel.
* Formulate, evaluate and implement techniques to support service stability, scalability, resiliency and availability.
* Work across the engineering organization to develop the knowledge and resolve complex technical issues and drive impactful innovation that improves application lifecycle, async handling, system availability, resiliency, and performance.

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