Goodleap

Goodleap

Staff Software Engineer

San Francisco, CA · Staff+

Sponsorship not specified$155k-$194kDetected 43 days ago
TypeScriptReactReduxNode.jsBackend DevelopmentFull-Stack DevelopmentAWSGCPAzureCloud PlatformsCI/CDRESTMachine LearningLLMsMLOpsCybersecurityLeadershipCommunicationProblem Solving

Stay score

odds of building a lasting career here

61Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role90
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

Personalize to your clock →

H-1B wage level

the lottery is wage-weighted — each level is one more entry

Level I · 1×
Level I$137,0931 entry
Level II$165,1312 entries
Level III$193,1493 entries
Level IV$221,1874 entries

$9,731 more — $165,131 — moves this role to Level II and 2 lottery entries. That figure is inside the range the employer already advertised.

Based on the DOL prevailing wage for this occupation and worksite, a base salary of $165,131 would place this position at wage Level II. That figure is within the posted range, and I'd like to target it. This role classifies under "Software Developers" for prevailing-wage purposes.

DOL prevailing wage, 2026-27 wage year · Software Developers (15-1252) · San Francisco-Oakland-Fremont, CA. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.

Employer immigration record

from this employer's Department of Labor filings

Files H-1B transfers

17 transfer filings in the last year, covering 17 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

Community outcomes

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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.
  • This is a great opportunity for someone who thrives in a fast-paced environment and is eager to take ownership of key initiatives within a growing company.

Responsibilities

  • Lead the design and development of large-scale applications, for both frontend and backend components. You'll contribute across the stack, whether it's modern Mobile UIs, React components or high-performance backend services.
  • Architect highly scalable, responsive, and secure solutions to support AI/ML-powered features across Web, Mobile, SMS/Voice, and API surfaces
  • Own end-to-end technical strategy for embedding LLMs, embedding stores, and personalized content delivery
  • Experience developing and deploying MCP Servers and working with the Model Context Protocol ecosystem
  • Provide technical leadership across teams, guiding decisions on architecture, design patterns, and best practices.
  • Drive cross-functional projects to enhance the reliability and performance of our applications.
  • Communicate clearly, engage with stakeholders, product managers and cross-functional teams to align on goals, share progress and manage expectations.
  • Lead the design and development of large-scale applications, for both frontend and backend components.
  • Deep understanding of architecture and best practices, including RESTful APIs, databases, secure coding, and responsive design.
  • Strong leadership skills, with a proven ability to mentor and lead engineering teams.

Requirements

  • 8+ years of experience in software engineering, with a strong background in building full-stack applications at scale, with at least 2+ years working with AI/ML solutions or LLMs
  • Experience with NodeJS, React and Typescript
  • Experience with state management solutions (Redux or similar)
  • Experience in cloud platforms such as AWS, Azure, or Google Cloud, with a focus on performance.
  • Strong knowledge of application lifecycle, navigation patterns, and data security.
  • Expertise in designing systems for high availability, fault tolerance, and scalability.
  • Ability to influence technical direction and work cross-functionally with product, engineering, and executive teams.
  • Strong analytical and problem-solving skills, with an ability to thrive in a fast-paced, dynamic environment.

Nice to have

  • Preferred Skills
  • Additional Information Regarding Job Duties and Job Descriptions: Job duties include additional responsibilities as assigned by one's supervisor or other managers related to the position/department.
  • This job description is meant to describe the general nature and level of work being performed

Compensation

  • Base pay range (CA, WA, NJ, MA, DC, NYC) per year: $170,500 - $193,500 Base pay range (all other US locations) per year: $155,400 - $175,900 In addition to the above salary, this role may be eligible for a bonus.

Benefits

  • Mentor senior and mid-level engineers, fostering a culture of growth, learning, and technical excellence.

Company info

  • Position Overview We are seeking a highly skilled Staff Software Engineer to bring technical excellence, initiative and leadership to our team.
  • This is one of the most exciting areas of the company to be a part of right now.
  • We are committed to protecting your privacy.
  • The Company reserves the right at any time with or without notice to alter or change job responsibilities, reassign or transfer job position or assign additional job responsibilities, subject to applicable law.

This listing is sourced directly from Goodleap's careers page and normalized into a canonical job model.