Software Engineering MTS
Salesforce1 day ago
Bellevue, WA, USAMid Level
H1B sponsor
Base Salary
$117k - $177k/yr
Responsibilities
- Design and architect a highly scalable, secure data platform that ingests and processes security data across Salesforce platforms and external environments.
- Build and optimize pipelines that collect, store, and analyze security signals from vulnerability scanners, asset management systems, identity systems, cloud environments, and vendor platforms.
- Integrate AI/ML and LLM capabilities, including RAG, agentic triage and remediation, anomaly detection, risk scoring, evaluations, guardrails, and cost and latency optimization.
- Collaborate with Engineering, Security Operations, Risk Management, Product Security, and Data Science teams to align the platform with business and security objectives.
- Provide technical leadership, mentor engineers, conduct code reviews, and promote cloud-native, secure, and AI-assisted development practices.
- Own and deliver platform features while adapting to changing requirements and advocating for secure AI and agent design.
- Establish data governance and quality frameworks supporting risk management, regulatory compliance, and continuous security improvement.
Requirements
- At least 2 years of industry experience for MTS, including at least 2 years of SaaS, PaaS, or IaaS software development experience.
- Bachelor's or master's degree in Computer Science or Engineering, or equivalent experience.
- Expertise in distributed systems, data engineering, high-performance and highly fault-tolerant systems, and large-scale infrastructure.
- Experience with Docker-based development, especially Amazon EKS, Infrastructure-as-Code, Terraform, Puppet, Apache Spark, Kafka, Hadoop, and SQL or NoSQL systems.
- Proficiency in object-oriented and multithreaded development using at least one of Python, Golang, Java, or Scala.
- Experience with systems patterns, API construction, Linux software development, authentication and authorization, secure transport, identity management, certificates, and PKI.
- Hands-on experience integrating LLMs or ML models into production systems, including at least two of RAG pipelines, agent or tool-use frameworks, prompt engineering, LLM evaluations or observability, fine-tuning, or embeddings and vector stores.
- Daily fluency with agentic coding tools such as Claude Code, Cursor, or Copilot, with the ability to guide safe and effective team usage.
- Strong communication, collaboration, project management, prioritization, and technical architecture skills.
- Preferred experience applying AI/ML to security use cases, using MCP or agentic workflow frameworks, optimizing LLM cost and latency, implementing guardrails and prompt-injection defenses, and using vector databases.
Benefits
- Salesforce offers time-off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program.
- The position has a typical base salary range of $117,200-$176,700 annually, excluding bonus, equity, and benefits.
- Salesforce provides reasonable accommodations during the application and recruiting process.
Tech Stack
Apache HadoopApache KafkaApache SparkAWSDockerGoGoogle Cloud PlatformHerokuJavaLinuxPuppetPythonScalaSQLTerraform
Categories
About Salesforce
Salesforce builds cloud-based customer relationship management software and a broader Customer 360 platform for sales, service, marketing, commerce, and analytics, sold by subscription to businesses and public-sector organizations. Founded in 1999 and headquartered in San Francisco, it trades on the NYSE under the symbol CRM. Its portfolio includes Sales Cloud, Service Cloud, Marketing Cloud, MuleSoft integration, Tableau analytics, and Slack for collaboration, with extensive developer tools and APIs.