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Posted 3mo ago

Software Engineer- Fullstack

@ AuxoAI
Bangalore, Karnataka, India
₹2000k/yrOnsiteFull Time
Responsibilities:design frontend, develop backend, build APIs
Requirements Summary:5+ years experience in building scalable enterprise applications; cloud-native backend/frontend development; strong Java/Python/JS skills; API design; CI/CD; databases and cloud services.
Technical Tools Mentioned:Java, Python, JavaScript, Spring, Vert.x, Net, FastAPI, React, Angular, Vue.js, PostgreSQL, MySQL, MongoDB, Neo4j, AWS, Azure, GCP, S3, CI/CD, TDD
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Job Description

We are looking
for Software Engineers with deep experience in building highly scalable and
reliable enterprise applications. We are looking for engineers who have
experience building cloud based/cloud native solutions from scratch. This
includes demonstrable expertise in an enterprise friendly backend framework. We
expect the engineer to work in a team consisting of Project Managers,
Designers, Data Scientists and Software Architects.

This is an
exciting opportunity to work in a fast -paced and innovative environment along
with a group of world class and entrepreneurial professionals.

Responsibilities:

  • Design and develop user-friendly web interfaces
    using HTML, CSS, and JavaScript.
  • Utilize modern frontend frameworks and libraries
    such as React, Angular, or Vue.js to build dynamic and responsive web
    applications.

  • Develop and maintain server-side logic using
    programming languages such as Java, Python, Ruby, Node.js, or PHP.
  • Build and manage APIs for seamless communication
    between the frontend and backend systems.
  • Integrate third-party services and APIs to
    enhance application functionality.
  • Implement CI/CD pipelines to automate testing,
    integration, and deployment processes.
  • Monitor and optimize the performance of web
    applications to ensure a high-quality user experience.
  • Stay up to date with emerging technologies and
    industry trends to continuously improve development processes and application
    performance.

 



Requirements

Qualifications:

  • Bachelors/master's in computer science or
    related subjects or hands-on experience demonstrating working understanding of
    software applications.

  • Knowledge of building applications that can be
    deployed in a cloud environment or are cloud native applications.

  • Strong expertise in building backend
    applications using Java/C#/Python with demonstrable experience in using
    frameworks such as Spring/Vertx/.Net/FastAPI.

  • Deep understanding of enterprise design
    patterns, API development and integration and Test-Driven Development (TDD)

  • Working knowledge in building applications that
    leverage databases such as PostgreSQL, MySQL, MongoDB, Neo4J or storage
    technologies such as AWS S3, Azure Blob Storage.

  • Hands-on experience in building enterprise
    applications adhering to their needs of security and reliability.

  • Hands-on experience building applications using
    one of the major cloud providers (AWS, Azure, GCP).

  • Working knowledge of CI/CD tools for application
    integration and deployment.

  • Working knowledge of using reliability tools to
    monitor the performance of the application.

 

Why AuxoAI?

  • Build and ship real AI products used by global
    enterprises

  • Work on GenAI, LLMs, data platforms, and
    enterprise copilots

  • End-to-end ownership from design to production
    deployment
  • Solve real-world problems across healthcare,
    CPG, BFSI, and more
  • Collaborate with top-tier engineers, architects,
    and AI specialists
  • Opportunity to define and shape next-gen
    enterprise AI platforms
  • Pathways to move into solutions, product roles
  • High-velocity projects with clear business
    outcomes
  • Modern tech stack: Python, ML Ops, DataOps,
    cloud-native tools
  • 1:1 mentorship from industry leaders in AI,
    product, and engineering
  • Annual team offsite and regular internal tech
    talks
  • Regular knowledge-sharing, tech talks, and
    peer-led sessions
  • Competitive compensation + flexible hybrid work
    model