Senior​/Lead Software Engineer; SMTS​/LMTS), IAM; Device Trust

Overview

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.

• Build and ship high-quality, production-grade software using modern engineering practices, with AI as a core part of your development workflow by pushing the boundaries of AI development tools to deliver secure, optimized, and high-quality code.
• Design and orchestrate complex systems where AI agents integrate seamlessly into human workflows, driving efficiency and innovation at scale.
• Contribute to building and maintaining the shared system context, an explicit repository of system designs, constraints, and standards that enables AI to operate accurately and reliably.
• Critically evaluate code (human or AI-generated) for correctness, quality, security, and performance.
• Design and build scalable authentication and authorization services for distributed environments.
• Develop and maintain system software for multiple operating systems (Linux, macOS, Windows).
• Implement and operate large-scale security services using Golang or Python.
• Integrate and extend secure device attestation mechanisms, including TPM-based hardware trust.
• Contribute to platform-level identity and security solutions using Public Key Infrastructure (PKI), certificates, and secure transport.
• Build and manage containerized workloads with Kubernetes, Docker, and infrastructure as code tools like Terraform.
• Operate and maintain services in a full Dev Ops model: monitor, troubleshoot, and continuously improve.
• Work in an Agile team to deliver iteratively and collaboratively.
• Partner with cross-functional teams across security, infrastructure, and engineering to ensure platform integrity and trustworthiness.

• A demonstrated, genuine AI-first approach to engineering. Using AI to move faster, build fluency across the stack, and contribute well beyond your core specialty.
• Experience using AI tools (e.g., Claude Code, Git Hub Copilot, Codex, Cursor, etc.) in development workflows.
• Advanced prompt engineering skills and the ability to write precise, structured prompts and cultivate the system context that makes AI outputs reliable, secure, and production-ready.
• 8+ years of industry experience, with at least:
• 5+ years building distributed systems in Software as a Service (SaaS), Platform as a Service (PaaS), or Infrastructure as a Service (IaaS) environments.
• 5+ years operating in high-availability, mission-critical environments (99.999% uptime).
• Strong experience designing and operating distributed systems on public cloud platforms (AWS, GCP, or Azure).
• Proficiency in Golang and/or Python.
• Strong communication skills and a collaborative mindset that prioritizes team success.
• Experience with security protocols and identity frameworks including TLS, OAuth, SAML, PKI, and certificates.
• Familiarity with system patterns and API standards including REST and OpenAPI/Swagger.
• Solid understanding of Dev Ops practices, CI/CD, monitoring, and ownership of production systems. Experience with CI/CD tools such as Jenkins, AWS Code Pipeline, or AWS Code Build.
• Experience building software for Linux and/or Windows environments.
• Understanding of large-scale infrastructure-as-a-service platforms such as Amazon AWS, Microsoft Azure, or Open Stack.
• Familiarity with source code management and version control systems such as Git or Perforce.
• Hands-on experience with container technologies such as Docker and Kubernetes.

• Experience developing system-level features related to platform security or device attestation.
• Experience working with hardware-backed security mechanisms such as TPM, HSM, or Secure Boot.
• Familiarity…