Member of Technical Staff (MTS), Software Engineer, Identity & Access Management

Salesforce•Bellevue, WA

12h•Hybrid

About The Position

Salesforce Enterprise Security is hiring a Software Engineer to join our Identity and Access Management (IAM) team. In this role, you will help design and build foundational IAM platform services that protect customer trust across Salesforce's products and infrastructure. With Agentforce woven into every layer of our platform, our engineers build intelligent systems that automate the repetitive, elevate the strategic, and power better decisions at scale. This is a strong opportunity for an early-career engineer to work at the intersection of distributed systems, enterprise security, and modern software engineering while building foundational skills in identity, device trust, and AI-enabled security operations.

Requirements

1–3 years of software engineering experience
Experience building software in one or more languages such as Golang, Python, Java, or similar
A demonstrated, genuine AI-first approach to engineering — using AI tools such as Claude Code, GitHub Copilot, Codex, or Cursor to move faster and build fluency across the stack
Understanding of distributed systems, microservices architecture, and cloud-native services
Familiarity with software development fundamentals including debugging, testing, and version control using Git
Familiarity with Representational State Transfer (REST)/JSON APIs and service integration concepts
Understanding of Continuous Integration/Continuous Delivery (CI/CD) pipelines and developer workflows
Understanding of Linux or system-level development fundamentals
Interest in enterprise security, identity, authentication, and access management
Strong communication skills and willingness to collaborate and learn in a team environment
A related technical degree required

Nice To Haves

Exposure to deploying or troubleshooting Kubernetes workloads and familiarity with infrastructure-as-code tools such as Terraform or CloudFormation
Experience with observability platforms — logging, metrics, or distributed tracing — and understanding of service reliability concepts such as Service Level Objectives (SLOs) and Service Level Indicators (SLIs)
Interest in security and identity concepts such as Transport Layer Security (TLS), OAuth, Security Assertion Markup Language (SAML), multi-factor authentication (MFA), passkeys, or certificates; curiosity about Zero Trust architecture, device trust, or Trusted Platform Module (TPM)/T2-based attestation
Awareness of secure coding practices including OWASP Top 10, input validation, and secrets management; exposure to security tooling such as vulnerability scanning, static analysis, or dependency scanning
Working knowledge of SQL and/or NoSQL databases and familiarity with testing frameworks
Advanced prompt engineering skills and the ability to write precise, structured prompts that make AI outputs reliable, secure, and production-ready
Relevant coursework, degree, or project experience in distributed systems, cloud infrastructure, cybersecurity, or security automation

Responsibilities

Build and ship high-quality, production-grade software across Linux, macOS, and Windows platforms using modern engineering practices, with AI as a core part of your development workflow
Design and orchestrate systems where AI agents integrate seamlessly into human workflows; critically evaluate code — human or AI-generated — for correctness, quality, security, and performance
Implement device trust and attestation capabilities including certificate-based and hardware-backed trust mechanisms, and contribute to identity and security platform components involving certificates, Public Key Infrastructure (PKI), secure transport, and access enforcement
Deploy and maintain containerized workloads using Kubernetes, Docker, and infrastructure-as-code tools such as Terraform
Contribute to secure development workflows including automated testing, Continuous Integration/Continuous Delivery (CI/CD) pipelines, and code quality and security checks
Support vulnerability remediation efforts by triaging findings, validating fixes, and partnering with teammates to close security gaps quickly
Participate in incident response and operational investigations by collecting data, analyzing system behavior, and supporting remediation
Partner with security, infrastructure, and engineering teams to support platform reliability and trust in an Agile environment