Software Engineering LMTS

Salesforce.com • Palo Alto, CA

82d • $184,000 - $276,100 • Hybrid

About The Position

Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword - it's a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all. We're seeking a hands-on LMTS who blends software engineering rigor with data engineering depth and ML practicality. You will design, build, and operate high-throughput data platforms and production ML/analytics services that power Agentic security experiences on the Security Data Fabric. This role bridges complex data challenges and scalable, production-ready software-integrating pipelines, models, and APIs directly into Salesforce and adjacent cloud services.

Requirements

• Bachelor's or Master's in CS, Data Science, Statistics, Engineering, or related quantitative field (or equivalent practical experience).
• 8+ years in data engineering / software engineering operating large-scale, high-throughput, low-latency pipelines.
• Expertise with Airflow, Spark, Hadoop, Kafka, Flink (or equivalents).
• Strong proficiency in Python, Scala, or Java; solid SQL and experience with at least one NoSQL store.
• Practical understanding of statistical modeling and machine learning with production deployments.
• Public cloud experience (AWS/Azure/GCP) and managed data services.
• Ability to communicate complex technical concepts clearly to technical and non-technical audiences.
• Proven problem solving, attention to detail, and results orientation.
• Working knowledge of data privacy regulations (e.g., GDPR, CCPA) and secure data handling.

Nice To Haves

• Proven experience shipping agentic workflows (planning + tool use) with measurable outcomes (solve rate, MTTR reduction, cost/tx); strong RAG foundation and action APIs behind autonomy envelopes; implemented guardrails (policies, approvals, rate limits) and comprehensive telemetry.
• MS in Software Engineering or related field.
• Salesforce data ecosystem: Tableau CRM/CRMA, Salesforce Data Cloud, Marketing Cloud Personalization, MuleSoft.
• Containers/infra: Docker, Kubernetes, Terraform; CI/CD for data & ML (testing, canary/blue-green, IaC).
• Experience with stream processing and real-time analytics (CRMA/Tableau).
• Open-source contributions or strong portfolio.
• Salesforce depth (data model, Apex/LWC, REST/SOAP/Bulk APIs, integration patterns); Salesforce certifications (Platform Developer, Data Architecture & Management Designer).
• Multi-agent systems (supervisor/planner patterns), LangGraph/AutoGen/CrewAI (or equivalent), vector DBs & re-rankers, model routing; security domain familiarity (OCSF, vuln/asset graphs, runtime exploitability) and GovCloud constraints.

Responsibilities

• Lead design/implementation of scalable data models and domain contracts; ensure performance, integrity, and governance.
• Build and optimize ETL/ELT and streaming workloads (batch + near real time) with strong SLAs on quality, latency, and cost.
• Drive platform reliability/observability: SLIs/SLOs, lineage, completeness, freshness, and automated parity tests.
• Develop, validate, and deploy statistical/ML models and risk-scoring services that deliver actionable insights.
• Productionize models as services/microservices with clear interfaces, feature stores, and monitoring for drift & performance.
• Ship secure, well-tested software that integrates pipelines and models into applications, APIs, and microservices.
• Expose read-only and action APIs for partner systems; enable dashboards (Tableau/CRMA) for executive and customer reporting.
• Provide technical leadership and mentorship; raise the quality bar via design reviews, code reviews, and documentation.
• Partner with product, security, and platform teams to translate business problems into pragmatic technical solutions.
• Stay current on data/ML/cloud trends; evaluate and introduce tools and patterns that move the needle.

Benefits

• Time off programs
• Medical, dental, vision
• Mental health support
• Paid parental leave
• Life and disability insurance
• 401(k)
• Employee stock purchasing program

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Industry: Publishing Industries
• Education Level: Master's degree
• Number of Employees: 5,001-10,000 employees