Sri Tech Solutions Inc.

Sri Tech Solutions Inc.

Full Stack Developer React and Node.js

Madison, Wisconsin, USA · Senior · Full-time

Sponsorship not specifiedDetected 138 days ago
JavaScriptTypeScriptReactHTMLReduxNode.jsExpressBackend DevelopmentFull-Stack DevelopmentCode ReviewGitSQLNoSQLAWSGCPAzureCloud PlatformsDockerCI/CDDevOpsGraphQLRESTKafkaRabbitMQ

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odds of building a lasting career here

40Risky
Cap-exempt (no lottery)0
Sponsors this role90
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

Thin sponsorship signal and lottery-bound. A low-probability bet with your clock running. Prioritize cap-exempt roles and proven entry-level sponsors first.

Lottery odds assume a STEM candidate.

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Employer immigration record

from this employer's Department of Labor filings

Green-card filing pattern in this occupation

Context, not a finding about this posting: of this employer's 4 green-card filings in this occupation, 100% were for a worker who already held the job.

Third-party placement is common here

59% of this employer's visa filings place the worker at a client company rather than at the employer itself, across 29 clients. Your visa, salary band and layoff exposure would follow the employer of record, not the client.Most common: Wipro · Wipro / Apple · SISL / METAFiles as an H-1B dependent employer.

Green-card follow-through: 0%

Of 5 labor certifications old enough to have been used, 5 expired without the employer filing the next step. Median time from filing to decision: 521 days.100% of their filings were for a worker who already held the job.Only certifications past the 180-day window are counted — recent ones cannot have expired yet.

Files H-1B transfers

27 transfer filings in the last year, covering 63 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

  • Full Stack Developer (React & Node.js) – 6+ Years Experience Madison, WI Full time We are looking for an experienced Full Stack Developer with 6+ years of hands-on experience in React and Node.js to build scalable, high-performance web applications and collaborate with cross-functional teams. Key Responsibilities Develop responsive frontend applications
  • using React, TypeScript, React Hooks, HTML5, and CSS3. Build and maintain backend services using Node.js, Express.js, or NestJS. Design and integrate RESTful APIs and GraphQL services. Work with SQL and NoSQL databases. Participate in architecture, performance optimization, security, and scalability initiatives. Write clean, testable code, conduct code

Responsibilities

  • Develop responsive frontend applications using React, TypeScript, React Hooks, HTML5, and CSS3.
  • Build and maintain backend services using Node.js, Express.js, or NestJS.
  • Design and integrate RESTful APIs and GraphQL services.
  • Collaborate with product, design, and DevOps teams for successful delivery and deployment.

Requirements

  • 4+ years of full-stack development experience.
  • Experience with RabbitMQ, Kafka, or AWS SQS.

Nice to have

  • Full Stack Developer (React & Node.js).
  • Work with SQL and NoSQL databases.
  • Participate in architecture, performance optimization, security, and scalability initiatives.
  • Write clean, testable code, conduct code reviews, and mentor junior developers.
  • Required Skills 4+ years of full-stack development experience.
  • Strong expertise in React.js, JavaScript (ES6+), TypeScript, Node.js, HTML5, and CSS3.
  • Experience with REST APIs, microservices, SQL/NoSQL databases, Git, CI/CD, and cloud platforms (AWS, Azure, or Google Cloud Platform).
  • Strong debugging, problem-solving, and communication skills.
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This listing is sourced directly from Sri Tech Solutions Inc.'s careers page and normalized into a canonical job model.