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Software Engineer, Risk Management

Hyperproof

Job at a glance

Category
Risk
Work arrangement
Remote
Location
Remote
Posted
Aug 11, 2026
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Hyperproof is hiring a Software Engineer, Risk Management in Remote. This is a Risk job in the governance, risk, and compliance field. Review the full details below and apply directly with Hyperproof.

About Us Hyperproof is on a mission to transform the Governance, Risk, and Compliance (GRC) world with a powerful new software platform. With Hyperproof, companies can save time and money while also operating their programs at a much higher level of effectiveness and accountability. We envision a world where organizations we depend on are truly trustworthy, and Hyperproof is the platform that will get them there. We have a great team and culture, picture yourself in a highly collaborative startup environment where you can make a real impact on something truly important. It s an exciting time to be at Hyperproof; we raised our Series round in 2023, validating our teamwork and company vision, and we continue to grow rapidly. As we continue to grow, we are seeking a talented Software Engineer to join our Risk Management team and help build first-party risk management features that help our customers identify, assess, and mitigate organizational risk. Who You Are You are a full-stack engineer with 3–5 years of experience who cares about building software that is correct, reliable, and genuinely useful. You thrive working across the stack, comfortable designing APIs in the morning and refining React components in the afternoon. You take pride in writing code that is well-tested and maintainable, and you understand that in a compliance domain, data integrity is not optional. You are excited by the challenge of translating complex domain logic, risk scoring, control testing, framework alignment, into clean, intuitive product experiences. You are comfortable asking questions, engaging in design discussions, and owning features end-to-end. You work well in a collaborative, async-first environment. What You Will Do As a Software Engineer on the Risk Management team, your responsibilities will include: Design, build, and ship first-party risk management features including risk register, inherent and residual risk scoring, and risk lifecycle workflows. Develop and extend control testing and monitoring capabilities, automated evidence checks, test cadence scheduling, and pass/fail logic tied to compliance outcomes. Build integrations with compliance frameworks including SOC 2, ISO 27001, NIST CSF, and others, enabling customers to map their controls and risks to the standards that matter to them. Collaborate with product managers and designers to translate compliance domain requirements into reliable, intuitive product experiences. Write backend services and APIs in

Full responsibilities and requirements are on Hyperproof's application page.

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About Hyperproof
Hiring for governance, risk, and compliance jobs on GRC Careers.
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Location and market context

This is a remote risk management job, so it draws from a national talent pool rather than a single metro. Remote governance and compliance jobs reward candidates who can show they work effectively across time zones and distributed legal, security, and product teams. Confirm any residency, travel, or occasional-onsite expectations directly with Hyperproof.

About risk management jobs

Risk jobs own the methodology for identifying, assessing, and escalating enterprise, operational, and technology risk. Second-line teams set risk appetite and challenge the first line. Jobs like this one are typically evaluated against frameworks such as enterprise and operational risk frameworks, NIST AI RMF, and risk-appetite and escalation practices.

How to position yourself for this risk management job

Strong candidates emphasize risk assessment methodology, appetite and escalation, cross-functional partnership, and clear reporting to senior leadership and the board. In your resume and outreach, tie your experience to how Hyperproof would apply enterprise and operational risk frameworks, NIST AI RMF, and risk-appetite and escalation practices, and lead with concrete outcomes rather than duties.

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