Lead Full Stack Engineer [ Bangalore ]

Posted 3 Days Ago
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Bangalore, Bengaluru, Karnataka
Hybrid
5-7 Years Experience
Artificial Intelligence • Machine Learning • Natural Language Processing • Software
The Role
Lead Full Stack Engineer at ASAPP working on building transformative machine learning-powered products. Responsibilities include developing new features, owning new products, addressing scaling needs, and collaborating to improve development processes. Requires 5+ years of experience, proficiency in Go, Python, Java, NodeJS, React, and in-depth knowledge of modern web technologies.
Summary Generated by Built In

At ASAPP, we are on a mission to build transformative machine learning-powered products that push the boundaries of artificial intelligence and customer experience. We focus on solving complex, data-rich problems — the kind where there are huge systemic inefficiencies and where a real solution will have a significant economic impact. Our CX performance platform uses machine learning across both voice and digital engagement channels to augment and automate human work, radically increasing productivity and improving the efficiency and effectiveness of customer experience teams.

You will work across the stack to design, code, test and deploy new features. You’ll be part of a distributed cross-functional team building a large, complex, real-time product with an emphasis on scalability and performance. You’ll be using the latest HTML5, CSS, and JS techniques, as well as a diverse set of backend technologies for the fleet of microservices spanning our system.

What You'll do

  • Join a team of talented engineers to own and build new products from the ground up
  • Incrementally develop new features, improvements, and fixes to our backend services focusing on code performance, efficiency and quality.
  • Create user interfaces that can handle both simple and complex interactions, including trees, graphs and flowcharts.
  • Contribute to addressing our scaling needs and architecting maintainable systems
  • Be part of the team’s on-call rotations
  • Collaborate to take our development to the next level: bring new ideas, frameworks, technologies and best practices

What you'll need

  • Bachelor’s degree in Computer Science or related field, or equivalent experience
  • At least 5+ years of full stack software development experience
  • Core programming proficiency in Go, Python, Java, or NodeJS
  • Advanced JavaScript knowledge and experience working with React
  • In-depth knowledge of modern HTML, CSS and the DOM
  • Excellent critical thinking and problem solving skills
  • Excellent written and verbal communication skills

What we'd like to see

  • A proactive self-starter, curious, energetic and upbeat
  • Experience with microservices, Kubernetes and Scalable distributed applications experience
  • Experience with ReactJS or AngularJS and Redux, Typescript, NodeJS, VueJS or similar tools (we use React with Hooks, but we'll teach you if you haven't used it)
  • A team player with strong communication and problem-solving skills

ASAPP is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, disability, age, or veteran status. If you have a disability and need assistance with our employment application process, please email us at [email protected] to obtain assistance. #LI-VR1 #LI-Hybrid

Top Skills

Go
Java
Node.js
Python
React
The Company
Bengaluru, Karnataka
389 Employees
On-site Workplace
Year Founded: 2014

What We Do

Our artificial intelligence and machine learning products deliver automation and human augmentation, allowing individuals and organizations to realize their full potential. Today, the world's largest organizations rely on ASAPP to provide amazingly efficient and effective customer experiences. Our Research & Development team is unparalleled, driving the advancement of AI, machine learning, speech recognition, robotic process automation, natural language processing and more.

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