Staff Security Engineer

About Forma.ai:

Forma.ai is a Series B startup that's revolutionizing how sales compensation is designed, managed and optimized. We handle billions in annual managed commissions for market leaders like Edmentum, Stryker, and Autodesk.

Our growth has been fuelled by our passion for fundamentally changing and shaping how companies use sales intelligence to drive business strategy.

We’re welcoming equally driven individuals who are excited about creating something big!

The Opportunity

As a Staff Security Engineer, you will be a hands-on technical leader strengthening security across Forma's application, cloud infrastructure, development lifecycle, internal systems, and incident-response practices.

Security today is shared across Engineering and DevOps. You'll work closely with both teams and have real room to shape how Forma approaches security as we grow. Depending on your interests and the needs of the business, the role could develop into a deeper individual-contributor position or help build a dedicated security team.

You'll work directly with Engineering, DevOps, IT, Product, Legal, and Privacy to identify risks, design practical controls, automate security processes, and help teams ship secure and reliable software.

What you'll do

Cloud and infrastructure security

• Design and implement security controls across Forma's AWS environments, with a focus on IAM, 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.

Application, data, and AI security

• Run threat modelling and security architecture reviews for new products, services, APIs, data pipelines, and third-party integrations.

• Strengthen tenant isolation, authorization enforcement, and fine-grained data access controls at the schema, table, row, and column level.

• Help protect sensitive compensation, financial, customer, and employee data across databases, data warehouses, S3, analytics services, and internal tools, including logging and auditability for sensitive-data access.

• Review AI and agentic workflows for data leakage, prompt injection, insecure tool use, and excessive permissions; ensure agents operate strictly 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 the secure path the easy one for engineers.

DevSecOps and secure delivery

• Embed security testing into CI/CD — static analysis, dependency and container scanning, secrets detection, Infrastructure as Code scanning, and dynamic testing — without creating unnecessary friction for developers.

• Define practical vulnerability-severity, remediation, exception, and escalation standards, and partner with developers to separate real risk from noise and fix root causes.

• Improve software supply-chain security, including build permissions, artifact integrity, dependency governance, and GitHub administration.

Detection, monitoring, and incident response

• Improve security visibility across cloud infrastructure, applications, identities, endpoints, and SaaS systems, and build alerts and detection logic that are worth acting on.

• Lead investigations and coordinate containment, remediation, and root-cause analysis, supported by clear runbooks, ownership, and escalation paths.

• Run tabletop exercises, and track and communicate security metrics and material risks to technical and business stakeholders.

Identity, governance, and enablement

• Strengthen SSO, MFA, privileged access, and onboarding, offboarding, and access-review processes across AWS, GitHub, Microsoft 365, Entra ID, production systems, and internal SaaS — automating 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 Forma's security tooling for both coverage and cost.

• Maintain clear technical standards and provide practical guidance, training, and mentorship that raises security capability across Engineering.

What we're looking for

• Eight or more years of experience in security engineering, cloud security, application security, DevSecOps, or infrastructure engineering.

• Strong hands-on experience securing AWS environments, including IAM, networking, encryption, logging, and secrets management.

• Experience with Terraform, Kubernetes, containers, and security controls in CI/CD pipelines.

• Strong understanding of application and API security, authentication, authorization, and multi-tenant SaaS 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 communication, troubleshooting, and cross-functional collaboration skills.

Strongly preferred

• Experience supporting SOC 2, ISO 27001, privacy programs, or enterprise customer security reviews.

Nice to have

• Experience securing analytics platforms, data pipelines, or systems handling sensitive customer data, including row-level, column-level, or attribute-based access controls.

• Experience with AWS security services, EKS, Datadog, Wiz, Snyk, CrowdStrike, or similar tools.

• Experience securing AI applications, large language models, agents, or Amazon Bedrock workloads.

• Experience in a B2B SaaS or high-growth technology company.

• Relevant security or cloud certifications.

Your first 30, 60, and 90 days

First 30 days: learn and assess

• Build an understanding of Forma's application architecture, AWS environments, deployment processes, data flows, identity systems, and security obligations.

• Meet key partners across Engineering, DevOps, IT, Product, Legal, and Privacy, and agree on 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.

By 60 days: prioritize and improve

• Deliver a prioritized security roadmap based on risk, business impact, and engineering effort.

• Begin addressing the highest-priority gaps in cloud access, secrets management, CI/CD security, vulnerability management, and monitoring.

• Introduce or improve a consistent process for threat modelling and security architecture reviews, and define vulnerability-severity, ownership, remediation, and exception standards.

• Assess the current 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.

By 90 days: operationalize and lead

The expectation here is momentum, not completion — these should be underway and demonstrably working, not finished.

• A first set of automated security guardrails in place across AWS, Terraform, Kubernetes, GitHub, or CI/CD, with remaining coverage planned and underway.

• Repeatable processes running for vulnerability management, access reviews, security assessments, and incident follow-up, even if still being refined.

• Security reviews completed for the highest-priority product, data, or AI initiatives, with required controls agreed and in progress.

…