Software Engineering MTS

Salesforce hosts web services and applications written by thousands of internal developers and tens of thousands of customers to provide the largest business automation cloud in the world.

The underlying infrastructure that enables this innovation and value is evolving to fully adopt lights-out operations, single-click deploy to tens of thousands of nodes, and services that self-heal and self-optimize.

The Microservices Platform Service Mesh team is building a highly scalable and distributed load balancing and gateway services to front all customer traffic coming into Salesforce.

We provide simple declarative interfaces for L4/L7 load balancing, TLS termination, end-to-end encryption, along with support for richer traffic policies such as blue/green deployments, access control, etc.

The team owns the application networking layer and enables secure, resilient, observable communication.

We are looking for people who can drive the implementation of the next generation of data plane and control plane.

We intend to transform our current software stack to adopt more cloud native primitives to build a more reliable, scalable, and feature-rich service mesh.

Our software stack is based on leading edge open source software like Envoy for data plane and Istio for control plane.

The opportunities to enhance the capabilities of the OSS software and contribute back to the community are immense.

The team has already made active upstream contributions to the Envoy project.

We intend to transform the way our north-south traffic is secured, load balanced and proxied before entering our core service mesh.

We are looking to add experienced distributed systems engineers who are passionate, hungry for new challenges, can step up and own large areas of that vision.

Some attributes of successful candidates:

Passion for service ownership, building reliable, and self-healing services. * Proven ability to work in complex team environments and deliver under pressure with dependency constraints. * Expertise in building large scale distributed systems, especially in public cloud environments (i.e. AWS, GCP). * Skilled in balancing live-site management, feature delivery, and retirement of technical debt. * Familiarity with crash-only and recovery-oriented software design. * Proficient in developing, debugging, and operating resilient distributed systems that run across thousands of compute nodes in multiple data centers. * Capable of driving and delivering thin slices of end-to-end functionality on a regular cadence with data-driven feedback loops.