ThirstySprout Logo

ThirstySprout

Full Stack Platform Engineer

Job Posted 9 Days Ago Posted 9 Days Ago
Remote
Mid level
Remote
Mid level
The Full Stack Platform Engineer will design and develop scalable software for a cloud-based AI platform, improving functionality and reliability through collaboration.
The summary above was generated by AI

Company Description
Our client is a fast-growing startup! They help enhance team performance and improve customer experience. The team is made up of passionate leaders dedicated to blending RPA with the cognitive power of AI, enabling businesses to automate complex processes with precision, efficiency, and ethical integration of cutting-edge technology into human workflows.

What company do
Optimize workflows + Personalized delivery: companies can deploy workflows without an RPA developer.
We offer an easy-to-use API that can take triggered events, generate actions, and create workflows autonomously through a no-code system.

Role Description
This is a role for a Full Stack Platform Engineer at our client. In this role, you’ll be responsible for designing and developing robust, scalable, and efficient software that powers our client’s cloud-based AI platform framework. You’ll work closely with cross-functional teams to deliver a highly available and secure platform. Additionally, you will continuously improve the platform in terms of functionality, performance, and reliability, and work with the team to evaluate new technologies that help optimize the system.

Qualifications
The Full Stack Platform Engineer should possess the following qualifications:

  • Experience in building cloud-native architecture, containerization experience with Docker, Kubernetes, or relevant technologies.

  • Experience with SVG programming.

  • Experience with any front-end frameworks such as React Native, Angular, or Flask.

  • Strong backend experience with Python, Kafka, Spark.

  • Experience with database technology like PostgreSQL or NoSQL.

  • Experience working with AWS services such as EC2, S3, RDS, Lambda, and API Gateway.

  • Expertise in technical operations and complex deployments.

  • Experience with developing and integrating REST APIs.

  • Excellent communication, problem-solving, and troubleshooting skills.

  • Bachelor’s or master’s degree in computer science, Engineering, or a relevant field.

Role type: Full-time – Remote

Top Skills

Angular
Api Gateway
AWS
Cloud-Native Architecture
Docker
Ec2
Flask
Kafka
Kubernetes
Lambda
NoSQL
Postgres
Python
Rds
React Native
Rest Apis
S3
Spark
Svg

ThirstySprout Austin, Texas, USA Office

1606 Headway Circle, , Austin, Texas , United States, 78754

Similar Jobs

Senior level
Artificial Intelligence • Machine Learning • Software • Defense
The Senior Full Stack Engineer will design, build, and manage authentication systems, ensuring secure access and a great user experience. This role requires collaboration with security and mission teams, shaping the direction of the API and user management workflows while mentoring junior engineers.
Kustomer Logo
Kustomer

Software Engineer, Full Stack (Platform Engineering)

5 Days Ago
Remote
2 Locations
Senior level
Senior level
Artificial Intelligence • Enterprise Web • Machine Learning • Natural Language Processing • Software • Conversational AI • Automation
As a Senior Full Stack Engineer at Kustomer, you will design, develop, and deploy scalable web applications using Node.js and React, collaborate with cross-functional teams, manage real-time systems, and optimize application performance. You'll mentor junior developers and implement best practices.
Cash App Logo
Cash App

Software Engineer, Frontend/Fullstack, Applied AI Platform

6 Days Ago
Remote
Hybrid
8 Locations
153K-270K Annually
Senior level
153K-270K Annually
Senior level
Blockchain • Fintech • Mobile • Payments • Software • Financial Services
The Machine Learning Engineering Manager will lead the Personalization ML Engineering team at Cash App, overseeing all engineering work related to personalized recommendations and AI solutions. Responsibilities include managing and mentoring team members, collaborating with product and business leaders, and ensuring the deployment of impactful ML solutions. They will also contribute to strategic planning and stay informed on the latest AI techniques.

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
Apply Save
By clicking Apply you agree to share your profile information with the hiring company.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account