Senior Cloud Infrastructure & Distributed Systems Engineer

100 Salesforce, Inc.; San Francisco (CA); Hybrid; USD 178,000 - 246,000; Full time

Benefits offered by this job

Time off programs

Medical insurance

Dental insurance

Vision care

Mental health support

Paid parental leave

Life and disability insurance

401(k)

Employee stock purchasing program

Job summary

Salesforce is a leading AI CRM company seeking senior software developers to build scalable distributed file systems and cloud services. You will write high-quality, production-ready code used by millions of users on our cloud platform, while collaborating in a hybrid work environment and growing with a diverse team.

The role emphasizes software craftsmanship, mentorship, and applying AI enhancements in the SDLC to deliver robust, scalable solutions across a multi-tenant SaaS ecosystem.

Qualifications

• 6+ years of software development experience.
• Strong knowledge of Java and Python; SQL with relational and non-relational databases.
• Experience with SaaS on public clouds (AWS, Azure, GCP).
• Proven experience designing and developing distributed systems at scale.
• Proficiency in queues, locks, scheduling, event-driven architecture, and workload distribution.
• Understand software development best practices and demonstrate leadership.

Responsibilities

• Build components/frameworks for distributed filesystems at scale.
• Develop production-ready code for a cloud platform used by millions.
• Code reviews, mentoring junior engineers, and providing technical leadership.

Skills

Java

Python

SQL

Distributed systems

AI in SDLC

Cloud platforms

Big data

Kafka

Elasticsearch

Terraform

CI/CD

Tools

Docker

Kubernetes

Job description

Salesforce is a leading AI CRM company seeking senior software developers to build scalable distributed file systems and cloud services. You will write high-quality, production-ready code used by millions of users on our cloud platform, while collaborating in a hybrid work environment and growing with a diverse team.

The role emphasizes software craftsmanship, mentorship, and applying AI enhancements in the SDLC to deliver robust, scalable solutions across a multi-tenant SaaS ecosystem.