Jobs / United States / Goodleap

Goodleap

Senior Security Engineer, Product Security

Remote (USA) · Remote · US only Posted today

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Skills this job asks for

HVACTypeScriptNode.jsJavaScriptC#PythonLLMsTriage

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Where you can work from

United States only

Based on the listing's location: Remote (USA).

The company's headquarters is not the same as where you may work from. Visa sponsorship only matters if you would relocate; see below.

Visa sponsorship, if you would relocate

Sponsorship verdict

No sponsorship evidence yet

No government record and no wording either way. Not a refusal: ask the recruiter.

  • No government sponsor record hereThis employer posted directly and does not match a government sponsor register.
  • The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
  • No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area.
  • What Goodleap paid sponsored hires in similar roles5 certified filings for “Staff Software Engineer” (Software Developers) in TX: $130k–$175k, median $164k.
  • Confirmed live todayWhen a source last listed this job as open.
Details and sources
No salary bar for this route
H-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
What Goodleap paid sponsored hires in similar roles
5 certified filings for “Staff Software Engineer” (Software Developers) in TX: $130k–$175k, median $164k. Most were filed at wage level IV (60%) — 4 lottery entries, ≈61% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).

US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).

A verdict summarises public evidence. It is not legal advice and never a guarantee: the employer and the immigration authority decide. Sign in to factor in where you can already work.

Before you apply

Sponsorship unknown

No register record and no sponsorship wording in the posting. Worth asking the employer before investing significant time.

These come from the posting’s own wording. Read the original listing to confirm. See better-fit alternatives →

About the role

About GoodLeap : GoodLeap is a technology company delivering best-in-class financing and software products for sustainable solutions, from solar panels and batteries to energy-efficient HVAC, heat pumps, roofing, windows, and more. Over 1 million homeowners have benefited from our simple, fast, and frictionless technology that makes the adoption of these products more affordable, accessible, and easier to understand. Thousands of professionals deploying home efficiency and solar solutions rely on GoodLeap’s proprietary, AI-powered applications and developer tools to drive more transparent customer communication, deeper business intelligence, and streamlined payment and operations. Our platform has led to more than $30 billion in financing for sustainable solutions since 2018. GoodLeap is also proud to support our award-winning nonprofit, GivePower, which is building and deploying life-saving water and clean electricity systems, changing the lives of more than 1.6 million people across Africa, Asia, and South America. Position Overview GoodLeap’s security team safeguards the organization’s information assets while enabling the business — spanning product safety and resilience, security paved roads, customer and regulatory trust, and technology governance. As a Senior Product Security Engineer, you’ll partner with product and engineering teams to make what we ship safe by default, splitting your time between building production security services and reviewing what other teams build: designs before code exists, pull requests before merge, and running systems before someone else finds the problem. You’ll be the primary security partner for one or more business units — GRC, security operations, and monitoring carry their own parts of the mandate, but you own the product security outcome. GoodLeap builds in TypeScript, Node.js, .NET, and Python, and you’ll work across all of it — we care that you can move between stacks, not that you’ve spent your career in one. We’re also shipping LLM-backed and agentic features into a regulated consumer-finance product; adversarially testing those systems (prompt injection, jailbreaks, tool abuse, exfiltration) and helping define what’s “safe enough to launch” is core to this role. You don’t need years of AI security experience — you need to show you can take an unfamiliar system, reason about how it fails, and produce findings a product team will act on. Essential Job Duties and Responsibilities • Adversarially test our AI and LLM-backed features. Design and run attacks against LLM-backed applications and agents — prompt injection, jailbreaks, tool abuse, data exfiltration — and turn findings into pass/fail criteria product teams will act on. • Build and operate production security services. Backend services and internal tooling — APIs, streaming transports, proxy/CLI/chat interfaces — in whichever of TypeScript, Node.js, .NET, or Python fits the problem, held to the same bar as any other production service: test coverage, CI, dependency management. • Find new ways to automate the work. Notice when something we do by hand has become automatable, prototype it, and make the case— even when it means replacing a tool we bought last year. • Review pull request vulnerability findings. Triage what scanning and AI-assisted review surface across our stacks, separating real findings from noise. Go deep by hand on auth paths and high-risk changes, and feed what you learn back into the tooling. • Threat model from product designs. Review PRDs and technical designs before code exists, infer trust boundaries and data flows in unfamiliar domains, and raise security questions while the design is still cheap to change. • Test by hand and validate what you find. Manual testing of web applications and APIs,

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