Urgently required: Lead Full Stack Engineer with React JS & Python//FinOps Analytics Engineer/Data Analyst/Visualization_ Austin, TX (Onsite)- Long-Term Contract

[Vasu Naidu]

Hello ,

Greetings for the day.

I am trying to reach you for the below position .Please let me know your interest in taking the new positions or else please refer your colleagues or friends who are looking for a job change.

Position:1

Role: Lead Full Stack Engineer with React JS & Python

Location: Austin, TX (Onsite)

Exp. Level:  10+ Years

Duration: Long-Term Contract

Role Purpose Owns frontend delivery for the forecasting, commitment-tracking financial applications and executive dashboard/reporting end-to-end a single accountable owner across UI build and exec-facing narrative.

Key Responsibilities

• Lead frontend architecture for the forecasting and commitment-tracking applications.
• Build AI-assisted executive dashboards and drill-down UX for finance stakeholders.
• Architect and develop responsive front-end applications using ReactJS.
• Good working experience in developing and maintaining scalable backend systems and API-driven applications using Python (Django/FastAPI/Flask).
• Own executive reporting delivery: dashboards, AI-drafted narrative and commentary, exec-ready framing.
• Deliver within the Client's primary frontend stack; contribute to hardening prototype UI work into production.
• Support post-transition delivery-metric reporting (cycle time, AI-generated code quality, defect trends) in dashboard form.

Must-Have

• 10+ years of experience in Full Stack Development.
• Strong hands-on experience with ReactJS, JavaScript, TypeScript, HTML5, CSS3.
• Expertise in Python and backend frameworks such as Django, Flask, or FastAPI.
• Experience in building and consuming RESTful APIs and microservices.
• Hands-on experience with Git, CI/CD, Docker, and Kubernetes
• Demonstrated experience owning both dashboard/UI delivery and executive reporting output.
• Comfort owning frontend architecture decisions independently.

Nice-to-Have

• Streamlit or data-visualization library experience.
• Exposure to AI-assisted narrative generation (NLG) tools.
• Prior work on financial or forecasting applications.

 Position:2

Role: FinOps Analytics Engineer/Data Analyst/Visualization

Location: Austin, TX (Onsite)

Exp. Level: 7+ Years

Duration: Long-Term Contract

Role Purpose Owns both cloud spend/allocation analytics and LLM/model cost telemetry, feeding executive reporting.

Key Responsibilities:

• Build cloud spend, allocation, and commitment-usage analytics.
• Build LLM/model usage cost telemetry and attribution — tracking AI tool, agentic framework, and LLM provider consumption.
• Forecast model spend trends as AI-generated code volume rises.
• Feed all analytics output directly into the Lead Full Stack Engineer's executive reporting layer.
• Integrate with the Client's cloud cost management platform for consumption/reporting only — no administration, configuration, or upgrade.

Must-Have

• 7–10 years, BI & Reporting background.
• Demonstrated experience across both cloud spend analytics AND cost attribution/telemetry.

 

Thanks & Regards,

Vasu.K

US IT Recruiter

Email: va...@atvsllc.com

1500 S Dairy Ashford RD STE#361, Houston, TX-77077, USA

 

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