Software Engineering MTS

Salesforce•Seattle, WA

1d•$117,200 - $194,200•Hybrid

About The Position

Salesforce is the #1 AI CRM, where humans with agents drive customer success together. The FEDX and Orchestration Service team sits in the critical path of Salesforce’s Cloud infrastructure project (Falcon). Hyperforce is a pivotal infrastructure platform for Salesforce, enhancing global service delivery through top public cloud platforms for increased safety, scalability, and agility. We provide the “front door” for service owners and FD owners across all Salesforce Clouds to onboard and enable end-to-end lifecycle support. We intake, verify, and manage the dependency map for all cloud infrastructure requests.

Requirements

A related technical degree required
2+ years of software development experience with expertise in distributed systems design and modeling
Strong AI development skills in creating SDLC agents to automate SDLC process for increased throughput
Deep knowledge of programming in Java, Golang, Python, or Ruby
Experience with Kubernetes is a must
Experience building scalable APIs and microservices in an enterprise software environment
Experience with relational databases (e.g. postgres) and the design of data models
Experience owning and operating multiple instances of a critical service
Experience with Agile development methodology and Test Driven Development
Experience with critical infrastructure services including, monitoring, alerting, logging, and reporting applications
Experience with Terraform, Cloud Formation or similar infrastructure as code language to setup automated infrastructure resources and application clusters
Experience owning and operating multiple instances of a mission critical service
Experience using telemetry and metrics to drive operational excellence

Nice To Haves

Strong programming skills in Python, Java, Go or similar languages
AI development experience with Claude, Cursor, and SKILLS.MD
Experience with AWS, Azure, GCP or other public cloud substrates for scaling web and mobile application backend infrastructure
Experience with building large scale distributed systems
Knowledge of open source distributed automation frameworks (e.g. Docker, Rundeck, Spinnaker etc.)

Responsibilities

Deliver cloud infrastructure automation tools, frameworks, workflows, and validation platforms on our public cloud platforms such as AWS, GCP, Azure, or Alibaba
Designing, developing, debugging, and operating resilient distributed systems that run across thousands of compute nodes in multiple data centers
Using and contributing to open source technology (Spinnaker, Zookeeper, etc.)
Developing Infrastructure-as-Code using Terraform
Writing micro-services on containerization frameworks such as Kubernetes, Docker, Mesos
Resolving complex technical issues and drive innovations that improve system availability, resilience, and performance
Capable of driving and delivering thin slices of end-to-end functionality on a regular cadence with data-driven feedback loops
Eat, sleep, and breathe services. You have experience balancing live-site management, feature delivery, and retirement of technical debt
Participate in the team’s on-call rotation to address complex problems in real-time and keep services operational and highly available
Leverage AI Tools (Cursor, Claude) to deliver improved Cycle time as part of feature delivery and technical debt
Develop test strategies, design automation frameworks, write unit/functional tests to drive up code coverage and automation metrics