Salesforce

2 weeks ago

Software Engineer MTS/ SMTS

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 20 hours agoStatus: Live

Job Summary

Design and implement a scalable Cybersecurity Data Platform, owning end-to-end feature delivery from technical roadmap through deployment and operations. Lead hands-on development using Apache Spark, AWS S3, and streaming/batch pipelines, building ingestion, processing, storage, APIs, and analytics integrations. Provide technical leadership and standards, partner with data producers, and drive performance tuning, monitoring/alerting, automated testing, and AI/ML prototyping for risk assessment.

Location: Bellevue, San Francisco

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Architect and implement the technical roadmap for the Security Data Platform, meeting long-term scalability and security requirements.
•Lead hands-on development of scalable, secure, reliable platform capabilities using Apache Spark, AWS S3, and streaming/batch pipelines.
•Design and build self-service onboarding tools for data producers and high-performance APIs for data consumers.
•Define and implement monitoring, alerting, and automated testing frameworks; perform performance tuning and cost optimization.
•Elevate engineering quality through rigorous code reviews, best practices, and mentoring; prototype AI/ML ideas for risk assessment and remediation.

Pay and Benefits

Salary: USD 117,200 - 223,900 annually

Perks:MedicalDentalVisionHealth InsurancePaid ParentalLife InsuranceDisability Insurance401kEquityTime Off

Key Requirements

•10+ years in software development with deep experience in SaaS/PaaS/IaaS and building high-availability 24/7 systems.
•Extensive hands-on experience building large-scale data platforms using Apache Spark, AWS S3, and streaming/batch pipelines.
•Proven expertise in distributed systems, application integrations (on-prem and SaaS), and data governance (e.g., data mesh).
•Track record owning end-to-end delivery from design and coding through testing, deployment, and maintenance with a DevOps mindset.
•Expertise with systems patterns and APIs (e.g., N-tier, MVC, OpenAPI), plus experience delivering self-service data solutions.

Experience:10+ yearsSaaSPaaSIaaSData engineeringCybersecurityDistributed systemsStreaming

Education:Master's in Computer Science/Engineering

Skills:Technical leadershipCommunicationMentorshipCode reviewCollaboration

Tech Stack:Apache SparkAWS S3StreamingBatch pipelinesOpenAPIN-tierMVCDevOpsScrumKanbanData meshAPIs

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 weeks ago

Software Engineer MTS/ SMTS

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 20 hours agoStatus: Live

Job Summary

Location: Bellevue, San Francisco

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Architect and implement the technical roadmap for the Security Data Platform, meeting long-term scalability and security requirements.
•Lead hands-on development of scalable, secure, reliable platform capabilities using Apache Spark, AWS S3, and streaming/batch pipelines.
•Design and build self-service onboarding tools for data producers and high-performance APIs for data consumers.
•Define and implement monitoring, alerting, and automated testing frameworks; perform performance tuning and cost optimization.
•Elevate engineering quality through rigorous code reviews, best practices, and mentoring; prototype AI/ML ideas for risk assessment and remediation.

Pay and Benefits

Salary: USD 117,200 - 223,900 annually

Perks:MedicalDentalVisionHealth InsurancePaid ParentalLife InsuranceDisability Insurance401kEquityTime Off

Key Requirements

•10+ years in software development with deep experience in SaaS/PaaS/IaaS and building high-availability 24/7 systems.
•Extensive hands-on experience building large-scale data platforms using Apache Spark, AWS S3, and streaming/batch pipelines.
•Proven expertise in distributed systems, application integrations (on-prem and SaaS), and data governance (e.g., data mesh).
•Track record owning end-to-end delivery from design and coding through testing, deployment, and maintenance with a DevOps mindset.
•Expertise with systems patterns and APIs (e.g., N-tier, MVC, OpenAPI), plus experience delivering self-service data solutions.

Experience:10+ yearsSaaSPaaSIaaSData engineeringCybersecurityDistributed systemsStreaming

Education:Master's in Computer Science/Engineering

Skills:Technical leadershipCommunicationMentorshipCode reviewCollaboration

Tech Stack:Apache SparkAWS S3StreamingBatch pipelinesOpenAPIN-tierMVCDevOpsScrumKanbanData meshAPIs

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