Software Engineering MTS (AI/Security)

Location: Bellevue, Washington, United States

Salary: $117,200–$176,700 annually base salary

Company

hirify.global is part of Salesforce and provides cloud platforms and services, including infrastructure used across Salesforce products and environments.

What you will do

• Design and architect a secure, highly scalable data platform processing security signals from Salesforce platforms and external environments.
• Build and optimize real-time data pipelines for application logs, asset information, vulnerability data, identity data, and other security signals.
• Integrate AI, machine learning, LLM, RAG, and agentic capabilities for anomaly detection, risk scoring, investigation, triage, and automated remediation.
• Establish data governance, quality, security, and compliance frameworks for enterprise risk management.
• Collaborate with Engineering, Security Operations, Risk Management, Product Security, and Data Science teams.
• Provide technical leadership through architecture guidance, code reviews, mentoring, and secure use of AI-assisted development tools.

Requirements

• 2+ years of industry experience, including 2+ years in SaaS, PaaS, or IaaS software development.
• Bachelor’s or Master’s degree in Computer Science, Engineering, or equivalent experience.
• Experience with distributed systems, large-scale infrastructure, highly available and fault-tolerant systems, Docker, EKS, Infrastructure-as-Code, Terraform, and Puppet.
• Experience with Apache Spark, Kafka, Hadoop, SQL/NoSQL, and at least one of Python, Golang, Java, or Scala.
• Knowledge of Linux, API construction, authentication and authorization, SSO, SAML, OAuth, TLS, certificates, and PKI.
• Production experience integrating LLMs or ML models, including at least two of RAG pipelines, agent/tool-use frameworks, prompt engineering, LLM evaluation, fine-tuning, or embeddings/vector stores.

Nice to have

• AI/ML experience in security use cases such as anomaly detection, alert triage, vulnerability prioritization, or SOC automation.
• Experience with MCP, tool-use frameworks, agentic workflows, vector databases, or embedding-based retrieval.
• Knowledge of LLM cost and latency optimization, guardrails, prompt-injection defense, and evaluation frameworks.

Culture & Benefits

• Participation in Agile development with daily syncs.
• Opportunities for technical growth in cloud-native systems, cybersecurity, big data, and applied AI.
• Benefits include time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program.