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Salesforce
Salesforce
Sponsor pentru viza H1BConsultanțăMarketingSaaS
Salesforce dezvoltă software bazat pe cloud, centrat pe o platformă de gestionare a relațiilor cu clienții, care conectează datele companiei și echipele printr-un sistem integrat, bazat pe inteligență artificială. Produsele sale susțin procesele de vânzări, servicii pentru clienți și marketing, oferind soluții concepute atât pentru întreprinderi mici și mijlocii, cât și pentru organizații mai mari. Salesforce oferă, de asemenea, instrumente dedicate anumitor industrii, resurse de învățare prin Trailhead și aplicații în AppExchange care extind funcționalitățile platformei sale CRM.
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Locurile de muncă ale companiei

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.

USStatele Unite ale AmericiiCACaliforniaNYNew YorkWAWashington
148.500 $ – 344.700 $ / an
La sediuNormă întreagăSeniorLimbă Obligatorie: englezăInginer DevOps
AWSAzureCloudGoGoogle Cloud PlatformGraphQLJenkinsKubernetesMicroserviciiPythonRedisSisteme distribuiteSpinnakerTerraformTypeScript

Descriere

  • 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

Cerințe

  • 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

Beneficii

  • 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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