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Software Engineering SMTS

Job in Bellevue, King County, Washington, 98009, USA
Listing for: Salesforce
Full Time position
Listed on 2026-08-27
Job specializations:
  • Software Development
    DevOps, Cloud Engineer - Software
Salary/Wage Range or Industry Benchmark: 149000 - 224000 USD Yearly USD 149000.00 224000.00 YEAR
Job Description & How to Apply Below

Job Category Software Engineering Job Details About Salesforce

Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.

Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.

The Software Engineer, Member of Technical Staff (SMTS) role is part of the Advanced Cross-Region Continuity (ACRC) team within Salesforce's Core Infrastructure Engineering organization. ACRC is the engineering team responsible for building, automating, validating, and continuously hardening the workflows that ensure Salesforce can recover critical services across regions with defined RTO/RPO behavior.

We are looking for a Software Engineer who is passionate about distributed systems, automation-first thinking, and making complex operational outcomes reliable and repeatable. You will join a team whose goal is workflow-as-code and continuous readiness validation — not manual run books.

What You’ll Be Doing
  • Design, build, and maintain cross-region continuity workflows and orchestration systems that automate site-switch and disaster recovery (DR) activation sequences for large-scale, mission-critical infrastructure.
  • Build validation frameworks and observability tooling (dashboards, telemetry, readiness signals) that answer "Are we ready right now?" — not just "Were we ready during the last review?"
  • Partner with service-owning teams (SDB Engine, LCM, Archival, SCRT2, HBase, Vega Cache) to define cross-system continuity contracts, integration boundaries, and readiness standards.
  • Identify and retire manual steps through principled automation — documenting why each step exists, what can go wrong, and the signal that proves success.
  • Build software with operational excellence in mind — including clear runbooks, alerting, observability hooks, and deployment patterns that Site Reliability Engineering (SRE) and Dev Ops teams can own and operate with confidence.
Qualifications
  • 5+ years of software engineering experience in distributed systems, infrastructure automation, or platform reliability engineering.
  • Proven experience building workflow orchestration, automation pipelines, or control-plane systems at scale (e.g., site-switch automation, DR tooling, deployment orchestration).
  • Strong proficiency in at least one systems or backend language (Java, Go, Python, or equivalent) with experience building production-quality services.
  • Experience with observability tooling, telemetry design, and building operational dashboards that drive engineering decisions.
Preferred Qualifications
  • Familiarity with SDB, HBase, Zoo Keeper, Book Keeper, or comparable distributed storage systems.
  • Experience with chaos engineering, fault injection, or large-scale resilience testing programs.
  • Prior work contributing to RTO/RPO programs, disaster recovery automation, or business continuity engineering for Tier-1 production services.
  • Understanding of multi-region cell architectures and cross-region dependency management.
Accommodations

If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form.

Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates’ resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.

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