F

Forma.ai

Real-time sales compensation modeling platform

Staff Security Engineer

Security Engineering & ArchitectureConfirmed live in the last 24 hours
Full-timeToronto, ON, CanadaIn-person

About the Job

Requirements

  • Eight or more years of experience in security engineering, cloud security, application security, DevSecOps, or infrastructure engineering.
  • Strong hands-on experience securing Amazon Web Services environments, including identity and access management, networking, encryption, logging, and secrets management.
  • Experience with Terraform, Kubernetes, containers, and security controls in continuous integration and continuous delivery pipelines.
  • Strong understanding of application and application programming interface security, authentication, authorization, and multi-tenant software-as-a-service risks.
  • Experience with vulnerability management, threat modelling, incident response, and security automation.
  • Ability to write scripts using Python, Bash, PowerShell, or a similar language.
  • Strong troubleshooting skills.

Responsibilities

  • Design and implement security controls across Forma's Amazon Web Services environments, focusing on identity and access management, least-privilege access, service identities, and account boundaries.
  • Embed security requirements into Terraform and other infrastructure as code, and improve secrets, certificate, encryption-key, and credential management.
  • Build automated checks for insecure configurations, excessive permissions, exposed resources, and configuration drift across Kubernetes, containers, serverless workloads, networking, and data services.
  • Run threat modelling and security architecture reviews for new products, services, application programming interfaces, data pipelines, and third-party integrations.
  • Strengthen tenant isolation, authorization enforcement, and fine-grained data access controls at the schema, table, row, and column levels.
  • Protect sensitive compensation, financial, customer, and employee data across databases, data warehouses, Amazon S3, analytics services, and internal tools, including logging and auditability for sensitive-data access.
  • Review artificial intelligence and agentic workflows for data leakage, prompt injection, insecure tool use, and excessive permissions; ensure agents operate within the calling user's permissions; and define secure patterns for approved services such as Amazon Bedrock.
  • Identify and help remediate application vulnerabilities, and build tooling and reusable libraries that make secure development easier for engineers.
  • Embed security testing into continuous integration and continuous delivery, including static analysis, dependency and container scanning, secrets detection, infrastructure-as-code scanning, and dynamic testing.
  • Define vulnerability-severity, remediation, exception, and escalation standards, and partner with developers to distinguish real risk from noise and fix root causes.
  • Improve software supply-chain security, including build permissions, artifact integrity, dependency governance, and GitHub administration.
  • Improve security visibility across cloud infrastructure, applications, identities, endpoints, and software-as-a-service systems, and build actionable alerts and detection logic.
  • Lead investigations and coordinate containment, remediation, and root-cause analysis using runbooks, ownership, and escalation paths.
  • Run tabletop exercises and track and communicate security metrics and material risks to technical and business stakeholders.
  • Strengthen single sign-on, multifactor authentication, privileged access, and onboarding, offboarding, and access-review processes across Amazon Web Services, GitHub, Microsoft 365, Entra ID, production systems, and internal software-as-a-service systems.
  • Automate provisioning, entitlement reviews, and evidence collection where practical.
  • Translate security and compliance requirements into concrete technical controls, and support customer security reviews, audits, and programs such as SOC 2 and ISO 27001.
  • Evaluate third-party tools and integrations for security, privacy, and access-control risk, and help select, consolidate, and rationalize security tooling for coverage and cost.
  • Maintain clear technical standards and provide practical guidance, training, and mentorship that raises security capability across Engineering.
  • Build an understanding of the application architecture, Amazon Web Services environments, deployment processes, data flows, identity systems, and security obligations.
  • Meet key partners across Engineering, DevOps, IT, Product, Legal, and Privacy, and establish how security reviews and escalations will operate.
  • Review existing controls, open findings, incidents, access patterns, monitoring, and compliance commitments.
  • Identify immediate risks, quick wins, and areas needing deeper assessment.
  • Deliver a prioritized security roadmap based on risk, business impact, and engineering effort.
  • Address high-priority gaps in cloud access, secrets management, continuous integration and continuous delivery security, vulnerability management, and monitoring.
  • Introduce or improve consistent processes for threat modelling and security architecture reviews, and define vulnerability-severity, ownership, remediation, and exception standards.
  • Assess the security tool stack for coverage, overlap, and cost, with consolidation recommendations.
  • Improve incident-response runbooks, alert ownership, and escalation paths for critical systems, and recommend measurable security objectives and reporting metrics.
  • Put automated security guardrails in place across Amazon Web Services, Terraform, Kubernetes, GitHub, or continuous integration and continuous delivery.
  • Run repeatable processes for vulnerability management, access reviews, security assessments, and incident follow-up.
  • Complete security reviews for high-priority product, data, or artificial intelligence initiatives, with required controls agreed and in progress.
  • Improve visibility into high-risk identities, infrastructure changes, and sensitive-data access.
  • Present progress, key risks, and the next phase of the security roadmap to leadership.

Desired Qualifications

  • Experience supporting SOC 2, ISO 27001, privacy programs, or enterprise customer security reviews.
  • Experience securing analytics platforms, data pipelines, or systems handling sensitive customer data, including row-level, column-level, or attribute-based access controls.
  • Experience with Amazon Web Services security services, Elastic Kubernetes Service, Datadog, Wiz, Snyk, CrowdStrike, or similar tools.
  • Experience securing artificial intelligence applications, large language models, agents, or Amazon Bedrock workloads.
  • Experience in a business-to-business software-as-a-service or high-growth technology company.
  • Relevant security or cloud certifications.

About the Company

Forma.ai

Real-time sales compensation modeling platform

Forma.ai provides a real-time modeling platform that helps businesses optimize sales compensation. It lets customers test different compensation ideas against historical data to estimate costs and potential impact, then implement the best-performing plan. The product works by running simulations on past sales data to forecast outcomes under various pay structures, enabling quick experimentation and rollout of new strategies. Forma.ai differentiates itself by offering live, scenario-based testing at scale for organizations ranging from startups to large enterprises across the globe, including customers like Autodesk. Its business model is service-based, typically charging a subscription fee for access to the platform. The company aims to turn sales compensation into a strategic advantage by making it faster and easier to design, compare, and deploy compensation plans that align with business goals.

Company size
51-200
Company stage
Series B
Total funding
$58M
Headquarters
Toronto, Canada
Founded
2016

Recently Posted Jobs

Explore more opportunities at Forma.ai

See more jobs