Software Engineering MTS

• 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

• 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

Desired Skills

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.)

In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions. The typical base salary range for this position is, $117,200 -

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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.