Software Engineer (MTS), Frontier Strike (EntSecTech)

Join Salesforce to build and operate an autonomous AI red-teaming platform that runs secure, repeatable adversarial test suites from staging through production.

Responsibilities

• Design and extend Go microservices that orchestrate multi-container test suites, including primary and utility containers, shared ephemeral volumes, and lifecycle synchronization to onboard new attack techniques as automated suites.
• Build policy-based sidecar gateways that mediate each test suite’s access to target systems (mocked, staging, and production) while enforcing least-privilege and blast-radius limits as risk tiers increase.
• Implement pipeline stages that dedupe, suppress noise, and auto-escalate critical findings (injection, server-side request forgery (SSRF), privilege escalation, data exfiltration) so only real signal reaches the persistent findings store.
• Design per-test-suite secrets isolation using a dedicated vault, pod, and service account per suite, including automated credential rotation to prevent a compromised suite from accessing other suites’ credentials.
• Deploy and operate containerized workloads on Kubernetes using Helm and Terraform on Amazon Web Services (AWS), balancing cost sensitivity across suite complexity.
• Integrate with internal large language model (LLM) gateway services to track token usage and cost per scan, and build throttling and authorization controls for expensive executions.
• Implement RBAC, network sandboxing, and geofencing to extend automated red-teaming safely from test environments to production.
• Monitor and troubleshoot distributed platform components, ensuring findings-pipeline data integrity and catching misconfigurations before they become production incidents.
• Build and ship production-grade software with modern engineering practices, applying AI as a core part of development to deliver secure, optimized, high-quality code.
• Design and orchestrate complex systems where AI agents integrate into human workflows to improve efficiency and innovation at scale.
• Contribute to building and maintaining shared system context, an explicit repository of system designs, constraints, and standards for reliable AI operation.
• Critically evaluate code, including both human- and AI-generated output, for correctness, quality, security, and performance.

Requirements

• 2 - 4 years of professional software development experience.
• Proficiency in Go; experience with Python or Java is acceptable.
• Experience with distributed systems, microservices, and REST or gRPC APIs.
• Familiarity with Kubernetes, Docker, Helm, and Terraform in a cloud environment, with AWS preferred.
• Understanding of software security fundamentals: OWASP Top 10, least privilege, and secrets management.
• Strong problem-solving and debugging skills in distributed, containerized systems.
• Ability to work in a large-scale enterprise setting with production-safety constraints.
• AI-first approach to engineering, using AI to move faster and contribute beyond a single specialty.
• Experience using AI tools (e.g., Claude Code, GitHub Copilot, Codex, Cursor) in development workflows.
• Advanced prompt engineering skills, writing precise structured prompts and cultivating system context to improve reliability, security, and production readiness.
• Bachelor’s degree in Computer Science, Software Engineering, or a related field, or equivalent experience.

Technologies

• Go, Python, Java
• REST, gRPC
• Kubernetes, Docker, Helm, Terraform
• Amazon Web Services (AWS)
• Large language model (LLM) gateway services
• Role-based access control (RBAC)
• OWASP Top 10
• Secrets management (HashiCorp Vault)
• Cloud key management services (KMS)
• Open Policy Agent (OPA)
• mTLS
• Identity and access management (IAM)
• NIST, ISO, SOC 2
• AI tools: Claude Code, GitHub Copilot, Codex, Cursor

About the Team

• Frontier Strike, part of Enterprise Security Technology (EntSecTech), builds and operates Harness Orchestrator, an autonomous AI red-teaming platform that continuously tests identity and AI-integrated systems like a real attacker.
• This role builds the orchestration engine, policy gateways, and secrets-isolation systems to enable automated adversarial testing against production.
• AI is a core part of the development workflow, pairing distributed-systems engineering with modern AI-assisted tooling to ship secure, production-grade code faster.

Even Better If…

• Experience with policy engines (e.g., Open Policy Agent (OPA)) or other fine-grained authorization frameworks.
• Exposure to AI/LLM security, adversarial testing, or red-teaming.
• Experience with secrets vault technologies (e.g., HashiCorp Vault, cloud key management services (KMS)).
• Familiarity with sidecar proxy/gateway patterns and mutual Transport Layer Security (mTLS).
• Experience with identity and access management (IAM), cybersecurity, or compliance frameworks (NIST, ISO, SOC 2).

Location and Employment

• Bellevue, WA (onsite)
• Salary range: USD 117,200 - 176,700 per year

Accommodations

If you need a reasonable accommodation during the application or recruiting process, submit a request via the Accommodations Request Form.