Quantifind

Quantifind

Front-end Software Engineer (React)

Palo Alto, CA · Full-time

Sponsorship not specified$125k-$150kDetected 21 days ago
JavaScriptPythonScalaReactHTMLCSSReduxExpressSQLPostgreSQLDockerKubernetesCI/CDDevOpsRESTMachine LearningSparkData ScienceData VisualizationAgileExcelHRCommunicationCollaboration

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odds of building a lasting career here

54Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds (Level III)83
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~45% per draw at Level III). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

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H-1B wage level

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

Level I · 1×
Level I$152,7971 entry
Level II$187,0752 entries
Level III$221,3743 entries
Level IV$255,6534 entries

The bottom of this range ($125,000) is below the Level I prevailing wage of $152,797. An H-1B cannot be filed below the prevailing wage, so an offer at the floor of this band could not be sponsored as posted.

DOL prevailing wage, 2026-27 wage year · Software Developers (15-1252) · San Jose-Sunnyvale-Santa Clara, 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

3 transfer filings in the last year, covering 3 workers. Median labor-condition decision: 11 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.

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About the role

  • Quantifind is seeking a Front-end Engineer for our Front-end team in Palo Alto, CA.
  • A fun environment where work-life balance is valued
  • The California base salary range for this full-time position is $125,000 to 150,000.

Requirements

  • You have worked with React and Redux
  • You value the security of a company with a proven business model and enjoy the opportunities a startup offers.
  • You have a great work ethic and are able to take on major projects from start to finish, either solo or collaborating with other engineers.
  • On a personal note, you are a kind and understanding team member who is friendly and eager to work with others and help them grow in their roles as you grow in yours.

Nice to have

  • Professional front-end software engineer experience using React for at least 2 years
  • BS or MS in Computer Science
  • Outstanding written and verbal communication skills
  • Previous experience at a software startup preferred
  • Professional experience with JavaScript, HTML5, and CSS3
  • Experience with data visualization
  • Familiarity with server-side JavaScript using Express.js is a plus
  • Familiarity with SQL databases such as Postgres

Compensation

  • The California base salary range for this full-time position is $125,000 to 150,000.
  • Competitive salary

Benefits

  • Company Equity
  • Exceptional benefits package
  • Flexible Vacation & Paid Time Off
  • Within the range, individual pay is determined by work location, role-related knowledge and skills, depth of experience, relevant education or training, and additional role-related considerations.

Company info

  • Quantifind helps some of the world's biggest banks catch money laundering and fraud. Quantifind also works with government agencies to use the same platform to uncover criminal networks and combat money laundering committed by internationally sanctioned entities. Unlike other players in this space, Quantifind delivers results as software-as-a-service (SaaS) with consumer-grade user experiences.
  • Quantifind is a data science technology company whose AI platform uncovers signals of risk across disparate and unstructured text sources. In financial crimes risk management, Quantifind's solution uniquely combines internal financial institution data with public domain data to assess risk in the context of Know Your Customer (KYC), Customer Due Diligence (CDD), Fraud Risk Management, and Anti-Money Laundering (AML) processes. Today these compliance processes are burdened by ever-increasing regulatory responsibilities and an expectation of frictionless transactions. Legacy technologies demand increasingly more human resources as the operations expand
  • Quantifind's SaaS solution offers a way to cut through the inefficiency and enhance effectiveness simultaneously.
  • We process terabytes of data each day on our own dedicated Hadoop clusters. We use real-time data services to enable interactive investigations in our SaaS applications and APIs. We use Kubernetes and Docker for our container ecosystem, and we develop standalone services in Scala and Python and use Spark for MapReduce jobs.
  • Quantifind helps some of the world's biggest banks catch money laundering and fraud.
  • Quantifind also works with government agencies to use the same platform to uncover criminal networks and combat money laundering committed by internationally sanctioned entities.
  • Unlike other players in this space, Quantifind delivers results as software-as-a-service (SaaS) with consumer-grade user experiences.
  • Quantifind is a data science technology company whose AI platform uncovers signals of risk across disparate and unstructured text sources.
  • In financial crimes risk management, Quantifind's solution uniquely combines internal financial institution data with public domain data to assess risk in the context of Know Your Customer (KYC), Customer Due Diligence (CDD), Fraud Risk Management, and Anti-Money Laundering (AML) processes.
  • Today these compliance processes are burdened by ever-increasing regulatory responsibilities and an expectation of frictionless transactions.
  • Legacy technologies demand increasingly more human resources as the operations expand; Quantifind's SaaS solution offers a way to cut through the inefficiency and enhance effectiveness simultaneously.
  • We process terabytes of data each day on our own dedicated Hadoop clusters.
  • We use real-time data services to enable interactive investigations in our SaaS applications and APIs.
  • We use Kubernetes and Docker for our container ecosystem, and we develop standalone services in Scala and Python and use Spark for MapReduce jobs.

Equal opportunity

  • We are an equal opportunity employer; we have a fun place to work and a devotion to succeeding together.
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This listing is sourced directly from Quantifind's careers page and normalized into a canonical job model.