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CloudPSO

AI-Assisted Full Stack Software Engineer (Remote)

Sorry, this job was removed at 03:10 p.m. (CST) on Tuesday, Jun 30, 2026
Remote
Hiring Remotely in USA
Remote
Hiring Remotely in USA

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This is a remote position.

Job Location: Pakistan (Remote)
Job timings:   Mon- Fri in US time-zone
Experience: 5+ years

Key Responsibilities
  • Develop, test, and maintain RESTful API connectors for enterprise systems such as Salesforce, Workday, SAP, Oracle, and AWS.
  • Use AI-assisted tools such as ChatGPT, GitHub Copilot, or similar platforms to enhance productivity and generate clean, efficient code.
  • Design and implement the normalization layer to map identity and entitlement data into a unified schema for YouAttest.
  • Build automation for data synchronization, delta detection, and versioning using PostgreSQL or DynamoDB.
  • Develop and maintain modern web applications and dashboards using Next.js and React for connector health monitoring, system metrics, and administrative workflows.
  • Implement secure, read-only authentication methods (OAuth2, SCIM, API keys) and ensure compliance with data protection requirements.
  • Collaborate with project managers, architects, and QA teams to meet defined milestones.
  • Maintain detailed documentation, reusable code, and version control practices.

Requirements

Tools and Technologies
  • Languages: Python, Node.js, TypeScript, JavaScript
  • Frameworks: FastAPI, Express.js, Next.js
  • Databases: PostgreSQL, DynamoDB
  • Frontend: Next.js, React
  • AI Tools: ChatGPT, GitHub Copilot, OpenAI API, Codeium
  • Cloud: AWS (EC2, Lambda, Secrets Manager, CloudWatch)
  • Version Control: GitHub
Required Skills
  • Strong background in Python or Node.js (preferably both).
  • Strong hands-on experience with Next.js and React, including server-side rendering (SSR), API routes, and modern frontend development practices.
  • Experience with RESTful APIs, GraphQL, and authentication protocols (OAuth2, OpenID Connect).
  • Practical experience using AI-assisted programming tools such as ChatGPT, GitHub Copilot, Codeium, or TabNine.
  • Knowledge of relational and NoSQL databases such as PostgreSQL or DynamoDB.
  • Hands-on experience integrating with enterprise APIs such as Salesforce, Workday, SAP, Okta, and AWS.
  • Solid understanding of JSON structures, webhooks, and data normalization.
  • Excellent debugging, problem-solving, and documentation skills.

Benefits
  • Medical insurance
  • Company gadgets
  • Paid time off
  • Stock options (ESOP)
  • Competitive salary and benefits package.
  • Opportunities for professional development and growth.
  • Collaborative and innovative work environment.
  • Chance to work on cutting-edge cloud projects.
  • Supportive and inclusive company culture

What you need to know about the Austin Tech Scene

Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.

Key Facts About Austin Tech

  • Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
  • Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
  • Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
  • Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center

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