Why This Role Stands Out
As a Lead Full Stack Engineer, you'll shape the frontend architecture and drive the delivery of impactful financial applications, leveraging your extensive React.js and Python expertise. This on-site role in Austin is perfect for seasoned engineers who thrive on technical ownership and contributing to innovative solutions within a dynamic team. Apply now to take the next step in your career!
Quick Overview
Seniority
Mid Senior
Work mode
On Site
Location
Austin, TX, United States
Posted
22 hours ago
DjangoDockerFastAPIFlaskMicroservicesGitJavaScriptKubernetesPythonReactTypeScript
Job Description
Position: Lead Full Stack Engineer React.js & Python
Location: Austin, TX Onsite
Experience: 10+ Years
Job Type:Fulltime/Long term contract
Please share your updated resume with me at pranayatburgeonitsdotcom
Role Overview
We are looking for a Lead Full Stack Engineer to own frontend architecture and full-stack delivery for financial forecasting, commitment-tracking applications, and executive dashboards.
Mandatory Skills
Location: Austin, TX Onsite
Experience: 10+ Years
Job Type:Fulltime/Long term contract
Please share your updated resume with me at pranayatburgeonitsdotcom
Role Overview
We are looking for a Lead Full Stack Engineer to own frontend architecture and full-stack delivery for financial forecasting, commitment-tracking applications, and executive dashboards.
Mandatory Skills
- 10+ years of Full Stack Development experience.
- Strong hands-on experience with React.js, JavaScript, TypeScript, HTML5, and CSS3.
- Strong Python development experience with Django, FastAPI, or Flask.
- Hands-on experience building and consuming RESTful APIs and microservices.
- Strong experience with Docker and Kubernetes.
- Hands-on experience with Git and CI/CD.
- Proven experience with frontend architecture and responsive UI development.
- Experience building dashboards, reporting applications, and executive-level data visualization.
- Ability to independently own frontend technical/architecture decisions.
- Strong communication and stakeholder-facing skills.
- Streamlit or other data-visualization libraries.
- AI-assisted narrative generation / NLG experience.
- Experience with financial, forecasting, FinOps, or analytics applications.
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