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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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Staff Software Engineer, Data Infrastructure at Salesforce

Build and operate Slack’s secure, scalable data infrastructure for analytics and machine learning. Lead core services, observability, automation, and AI-enabled data workflows.

USStatele Unite ale AmericiiCACaliforniaWAWashington
197.300 $ – 313.700 $ / an
La sediuNormă întreagăLiderLimbă Obligatorie: englezăInginer de date
AirflowChefGoGrafanaKubernetesPythonSparkSQLTerraformVault

Descriere

  • Build and run reliable, scalable data infrastructure for Slack analytics, machine learning, and data-informed decisions
  • Own several core analytics services, including Pinot and Trino
  • Maintain the availability and reliability of compute and orchestration services such as Airflow, Spark on Kubernetes, EMR, and Hive Metastore
  • Improve security, cost efficiency, and developer experience
  • Develop automation and self-service tools for data workflows
  • Work with data engineering, platform, and security teams to deliver scalable, governed solutions
  • Develop observability, monitoring, and alerting with Grafana and related tools
  • Set best practices, technical standards, and support models with staff and senior engineers
  • Mentor and coach fellow engineers
  • Scale compute and orchestration layers using AI-enabled, data-driven methods
  • Deliver real-time OLAP capabilities
  • Develop and scale agents, AI skills, and automation for engineering and data workflows

Cerințe

  • Bring at least 10 years of software, platform, or infrastructure engineering experience, including work supporting data-intensive systems or platforms
  • Demonstrate experience building, deploying, and operating distributed infrastructure at scale
  • Have a strong technical background in big data and infrastructure systems such as EMR, Airflow, Pinot, Trino, Hive Metastore, and Kubernetes, or comparable technologies
  • Be proficient in Python, Go, Bash, and SQL
  • Be proficient with CI/CD using GitHub Actions, Vault, Terraform, Chef, and Grafana
  • Understand infrastructure reliability, observability, and cost efficiency in depth
  • Bring hands-on experience supporting data pipelines or data engineering workflows; this is a strong plus
  • Have hands-on experience building, managing, and integrating agentic workflows, custom AI skills, automated software factory pipelines, and MCP
  • Hold a bachelor’s degree in Computer Science, Engineering, or have equivalent practical experience
  • Collaborate effectively across functions
  • Take ownership and deliver high-impact results autonomously

Beneficii

  • Time off programs
  • Medical insurance
  • Dental insurance
  • Vision insurance
  • Mental health support
  • Paid parental leave
  • Life insurance
  • Disability insurance
  • 401(k) plan
  • Employee stock purchase program
  • Incentive compensation may be offered for eligible roles
  • Equity may be offered for eligible roles

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