
Salesforce
Software Engineer
See how this job matches your profile
Sign in for an AI-powered fit score, breakdown, and a tailored resume.
Job Description
Salesforce is seeking a Senior Software Engineer to design, build, and operate backend systems that power critical infrastructure at scale. This role involves working on distributed, high-availability services, owning significant components end-to-end, and shaping how the team builds reliable software. The engineer will stay deep in the code while mentoring others, treating AI as a core part of their everyday development workflow, and contributing to technical decisions that shape system direction.
Qualifications
Required Qualifications
- 6+ years of professional software development experience, with a track record of owning production systems end-to-end.
- Strong proficiency in at least one backend programming language, such as Go, Java, Python, or Rust, and experience with distributed systems.
- Experience designing and operating Representational State Transfer (RESTful) or gRPC services, including database design and query optimization.
- Experience deploying and operating services in cloud environments, such as Amazon Web Services (AWS), Google Cloud Platform (GCP), or Microsoft Azure.
- Strong understanding of Continuous Integration/Continuous Delivery (CI/CD) pipelines, testing practices, and modern software delivery workflows.
- Ability to work independently on ambiguous problems and drive them to resolution.
- Strong written and verbal communication skills.
- Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
- Demonstrated, genuine AI-first approach to engineering, using AI to move faster, build fluency across the stack, and contribute well beyond your core specialty.
- Experience using AI tools, such as Claude Code, GitHub Copilot, Codex, or Cursor, in development workflows.
- Advanced prompt engineering skills and the ability to write precise, structured prompts and cultivate the system context that makes AI outputs reliable, secure, and production-ready.
- Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
Preferred Qualifications
- Experience with container orchestration, such as Kubernetes, and Infrastructure-as-Code paradigms.
- Experience with observability tooling, including distributed tracing, metrics, and alerting, at scale.
- Experience working in a regulated, multi-region, or high-compliance environment.
- Familiarity with asynchronous processing, message queues, or event-driven architectures.
- Deep domain knowledge of Public Key Infrastructure (PKI), X.509 certificate profiles, and mutual Transport Layer Security (mTLS) architectures.
- Strong understanding of certificate lifecycle management and automated certificate provisioning.
- Awareness of post-quantum cryptography (PQC) standards, such as Module-Lattice-Based Key-Encapsulation Mechanism (ML-KEM), and crypto-agility design principles.
Skills & Technologies
About the Company
Salesforce
View company profile →
Interested in this role?
Sign in or create a free account to see how this job matches your skills, apply with one click, and let our AI tailor your resume.
Sign in to applyJob Details
Employment Type
Full Time
Experience Level
Senior
Salary Range
$148,500 – $246,000
Location
San Francisco, CA
Posted
4 days ago
Country
US