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Salesforce
Salesforce
H1B Visa SponsorConsultingMarketingSaaS
Salesforce develops cloud-based software centered on a customer relationship management platform that brings company data and teams together through an integrated, AI-driven system. Its products support sales, customer service, and marketing workflows, with solutions designed for businesses ranging from small and medium-sized enterprises to larger organizations. Salesforce also provides industry-focused tools, Trailhead learning resources, and AppExchange apps that extend the capabilities of its CRM platform.
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Senior Lead Site Reliability Software Engineer

Lead reliability engineering for Salesforce’s AI-powered CRM platform, scaling secure infrastructure and automation for critical customer workflows.

USUnited StatesCACaliforniaNYNew YorkWAWashington
$148,500 – $344,700 / year
On-siteFull-timeSeniorEnglish RequiredDevOps Engineer
AWSAzureCloudDistributed SystemsGoGoogle Cloud PlatformGraphQLJenkinsKubernetesMicroservicesPythonRedisSpinnakerTerraformTypeScript

Description

  • Own reliability roadmaps for major product areas and evolve architectures into highly available, globally scalable systems
  • Collaborate on infrastructure strategy, system design, capacity planning, bottleneck analysis, and security
  • Develop and maintain infrastructure-as-code and deployment tooling
  • Help scale and deploy AI and machine learning infrastructure
  • Create systems and processes for product testing and release management
  • Build automation for customer and partner deployments, upgrades, diagnostics, and operations
  • Strengthen identity and access controls, networking, workload isolation, secret management, deployment security, and policy enforcement
  • Apply AI tools to automate operational work and accelerate infrastructure delivery
  • Identify and prioritize architectural issues across distributed backend systems
  • Implement application performance, infrastructure, and data-model improvements
  • Set engineering standards, guardrails, and team practices that reduce regressions
  • Work with customer, product, and engineering teams to understand needs and make practical tradeoffs
  • Mentor engineers and share expertise in backend architecture and system design

Requirements

  • Experience operating mission-critical production systems and scaling rapidly growing products
  • Advanced proficiency with Kubernetes, Terraform or OpenTofu, and AWS, Google Cloud, or Azure
  • Ability to write and review production-grade Golang, TypeScript, or Python
  • Deep knowledge of distributed systems and debugging interactions among microservices, databases, and AI agents
  • Experience working on a senior team that includes Principal engineers
  • Proven ability to use modern AI development tools
  • At least five years of experience in SRE, production engineering, or backend engineering focused heavily on operations and infrastructure
  • Advanced proficiency with Golang, GraphQL, and PostgreSQL
  • Experience with RDS, Redis or ElastiCache, and EKS
  • Expertise in backend engineering, including data modeling, database performance, state management, API design, transactionality, concurrency, memory management, fault tolerance, and scaling
  • Repeatedly owning foundational systems work in complex distributed environments
  • Strong written, verbal, and technical design communication skills
  • An advanced computer science degree or equivalent practical experience is advantageous
  • Experience in regulated or highly secured industries, especially public-sector environments with compliance and data-sovereignty requirements, is advantageous
  • Familiarity with classified or limited-connectivity environments, including Department of Defense Impact Level 6, is advantageous
  • Advanced knowledge of microservice orchestration and durability patterns, including Temporal and service mesh technologies, is advantageous
  • Deep understanding of networking, security, and identity management across major cloud providers is advantageous
  • Experience building AI products for supply chain, logistics, manufacturing, or operational workflows is advantageous
  • Bachelor’s degree in Computer Science required; master’s degree preferred
  • Exposure to Temporal, Istio, or Typesense
  • Experience with CI/CD platforms, particularly Jenkins and Spinnaker
  • Exposure to supply chain, logistics, or manufacturing industries
  • Familiarity with the Salesforce platform
  • Experience with workflow engines

Benefits

  • Paid time-off programs
  • Medical coverage
  • Dental coverage
  • Vision coverage
  • Mental health resources
  • Paid parental leave
  • Life insurance
  • Disability insurance
  • 401(k) retirement plan
  • Employee stock purchase program
  • Some roles may qualify for incentive compensation
  • Some roles may qualify for equity awards
  • Reasonable accommodations throughout the application and recruiting process

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