Software Engineering MTS

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About Salesforce

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.

Ready to level-up your career at the company leading workforce transformation in the agentic era? You're in the right place! Agentforce is the future of AI, and you are the future of Salesforce.

• Learn and adapt to Salesforce's security strategies, goals, objectives, and capabilities to improve security posture.
• Lead the design and architecture of a highly scalable and secure data platform that ingests and processes diverse security data sources across 10+ Salesforce platforms and 15+ external environments.
• Build and optimize data pipelines to collect, store, and analyze security signals from tools and platforms (e.g., vulnerability scanners, asset management systems, identity and access control systems) running across multiple environments (AWS, GCP, Salesforce, CRM, vendor systems, etc.).
• Design and integrate AI/ML and LLM-driven capabilities into the platform - including RAG over security data, agentic triage/remediation workflows, anomaly detection, and risk scoring - with strong attention to evals, guardrails, and cost/latency tradeoffs.
• Work closely with cross-functional teams (e.g., Engineering, Security Operations, Risk Management, Product Security, and Data Science) to align the data platform with business and security goals.
• Participate in Agile development, including daily syncs.
• Support the team's engineering excellence through code reviews and mentoring for team members at all levels.
• Provide technical leadership to a team of engineers, driving best practices in software development, security, AI-assisted development, and cloud-native architecture. Mentor engineers at earlier career stages, fostering a culture of continuous learning, innovation, and excellence.
• Champion effective use of AI-assisted development tools (e.g., Claude Code, Cursor, Copilot) across the team - establishing patterns for agent-driven workflows, code review, and productivity while maintaining code quality and security.
• Own and deliver initiatives that add new features to meet growing product demands.
• Adapt quickly to changing requirements, priorities, and strategies.
• Advocate for security and secure practices throughout Salesforce, including secure AI/agent design (prompt injection defenses, least-privilege tool access, data handling for LLM contexts).

• 2+ years of industry experience for MTS, including 2+ years in SaaS, PaaS, or IaaS software development
• Bachelor's or Master's degree in Computer Science or Engineering (or equivalent experience)
• Distributed systems and data engineering expertise, including:
  • High-performance, high-availability (99.99%), highly fault-tolerant systems
  • Large-scale infrastructure systems
  • Docker-based development, especially with EKS
  • Configuration management systems, including Infrastructure-as-Code (IAC), Terraform, Puppet
• Data technologies: Apache Spark & Kafka, Hadoop, SQL/NoSQL
• Programming proficiency in object-oriented and multi-threaded development using at least one of: Python, Golang, Java/Scala
• Demonstrated expertise applying systems patterns (e.g., client-server, N-tier, primary/secondary, MVC) and API construction (e.g., Swagger, OpenAPI)
• Experience developing and managing software on Linux (e.g., CentOS or RHEL)
• Strong fundamentals in security concepts: authentication/authorization frameworks (e.g., SSO, SAML, OAuth), secure transport (e.g., TLS), identity management (e.g., certificates, PKI)
• Hands-on experience integrating LLMs or ML models into production systems, including at least two of: RAG pipelines, agent/tool-use frameworks (e.g., MCP, LangGraph), prompt engineering, evals/observability for LLM apps, fine-tuning, or embeddings/vector stores
• Demonstrated fluency with agentic coding tools (Claude Code, Cursor, Copilot, or equivalent) as a daily driver, with the ability to guide the team on effective and safe usage patterns
• Excellent oral and written communication skills
• Ability to manage multiple projects, meet deadlines, and adapt to shifting priorities
• Strong collaborator who values team success alongside individual contributions
• Ability to translate strategic or operational goals into technical and tactical requirements and architecture design

• Experience applying AI/ML to security use cases - e.g., anomaly detection, alert triage, vulnerability prioritization, or SOC automation
• Experience with MCP (Model Context Protocol), tool-use frameworks, or building agentic workflows on top of security data
• Familiarity with LLM cost/latency optimization, guardrails, prompt-injection defense, and evaluation frameworks
• Experience with vector databases and embedding-based retrieval over structured/unstructured security data

Unleash Your Potential

When you join Salesforce, you'll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we'll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future - but to redefine what's possible - for yourself, for AI, and the world.

Accommodations

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