Salesforce

2 months ago

Big Data Platform & Distributed Systems (Mid/Senior/Lead/Principal)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 16 hours agoStatus: Live

Job Summary

Lead and shape the data platform at Salesforce, focusing on large-scale data pipelines, observability, and AI-enabled workflows. Work across two pillars—Data Engineering & Observability and Data Cloud—to optimize Spark workloads, enable real-time insights, and build scalable AI infrastructure in a cloud/Kubernetes environment.

Location: Bellevue

Workplace: Hybrid

Employment Type: Full time

Job Function: Administration & Executive Assistance

Seniority: Mid level

Key Responsibilities

•Build and maintain large-scale data pipelines and observability systems for metrics, logging, and real-time insights across services.
•Design reliable telemetry pipelines, improve monitoring and alerting, and ensure data quality and system visibility at scale.
•Develop production-grade software using modern engineering practices with AI integration to optimize workflows.
•Contribute to a shared system context that documents designs, constraints, and standards for AI-enabled operations.
•Collaborate across two mission-critical teams to optimize Spark workloads and AI infrastructure for enterprise-scale data platforms.

Pay and Benefits

Salary: USD 117,200 - 313,700 annually

Key Requirements

•Strong understanding of distributed systems design, including scalability, fault tolerance, and consistency trade-offs in large-scale data platforms
•Experience designing and operating large-scale data pipelines, ETL workflows, or streaming data systems
•Experience with big data and data platform technologies such as Spark, Flink, Kafka, Trino, HBase, or similar
•Experience operating data platforms or infrastructure services at enterprise scale
•Experience building or operating observability systems, telemetry pipelines, or monitoring platforms

Experience:SaaSCRMAICloudData platforms

Skills:JavaBackend developmentDistributed systemsSparkFlinkKafkaTrinoHBaseObservabilityTelemetryMonitoringCloudKubernetesAIAgentsSecurity

Tech Stack:JavaSparkFlinkKafkaTrinoHBaseKubernetesAWSGCPTelemetryMonitoring

Company Brief

Salesforce

Provides a leading cloud-based customer relationship management (CRM) platform with sales, service, marketing, analytics, and integration tools that empower businesses to manage customer relationships and digital transformation at scale.

Industry: SaaS

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Francisco, United States

Founded: 1999

Glassdoor: 4.1

Website LinkedIn Glassdoor

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Salesforce

2 months ago

Big Data Platform & Distributed Systems (Mid/Senior/Lead/Principal)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 16 hours agoStatus: Live

Job Summary

Location: Bellevue

Workplace: Hybrid

Employment Type: Full time

Job Function: Administration & Executive Assistance

Seniority: Mid level

Key Responsibilities

•Build and maintain large-scale data pipelines and observability systems for metrics, logging, and real-time insights across services.
•Design reliable telemetry pipelines, improve monitoring and alerting, and ensure data quality and system visibility at scale.
•Develop production-grade software using modern engineering practices with AI integration to optimize workflows.
•Contribute to a shared system context that documents designs, constraints, and standards for AI-enabled operations.
•Collaborate across two mission-critical teams to optimize Spark workloads and AI infrastructure for enterprise-scale data platforms.

Pay and Benefits

Salary: USD 117,200 - 313,700 annually

Key Requirements

•Strong understanding of distributed systems design, including scalability, fault tolerance, and consistency trade-offs in large-scale data platforms
•Experience designing and operating large-scale data pipelines, ETL workflows, or streaming data systems
•Experience with big data and data platform technologies such as Spark, Flink, Kafka, Trino, HBase, or similar
•Experience operating data platforms or infrastructure services at enterprise scale
•Experience building or operating observability systems, telemetry pipelines, or monitoring platforms

Experience:SaaSCRMAICloudData platforms

Skills:JavaBackend developmentDistributed systemsSparkFlinkKafkaTrinoHBaseObservabilityTelemetryMonitoringCloudKubernetesAIAgentsSecurity

Tech Stack:JavaSparkFlinkKafkaTrinoHBaseKubernetesAWSGCPTelemetryMonitoring

Company Brief

Salesforce

Industry: SaaS

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Francisco, United States

Founded: 1999

Glassdoor: 4.1

Website LinkedIn Glassdoor