3 - 5 years

0 - 1 Lacs

Posted:2 hours ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

Job Title: Full Stack Engineer AI-Native, Cloud-Savvy, Systems Builder

About the Role

This is not your traditional dev role. We value speed, clarity, reliability, and your ability to build production-ready systems with judgment and autonomy.

What You'll Do

  • Ship scalable web apps and services using

    Python

    ,

    TypeScript

    , and

    Go

    .
  • Leverage

    AI coding agents

    to supercharge development, testing, and debugging.
  • Build clean

    React UIs

    tied into reliable, fast backend systems.
  • Work across

    databases

    SQL

    and

    MongoDB

    to

    Cassandra

    and

    ClickHouse

    —designing resilient data models and analytical flows.
  • Run your workloads inside

    Kubernetes

    with modern CI/CD pipelines on

    AWS

    ,

    GCP

    , or

    Azure

    .
  • Own

    testing end-to-end

    with

    pytest

    and

    Playwright

    , ensuring what we ship works.
  • Jump between backend logic, front-end polish, and the operational details that make production hum.
  • Experiment, optimize, and continuously improve developer workflows using new AI tools and frameworks.

What You Bring

  • 4+ years building and running real software in production environments.
  • Deep experience coding in

    Python, TypeScript

    , and

    Go

    .
  • Solid chops in

    React

    , API design, and distributed backend systems.
  • Fluency with

    Kubernetes

    ,

    Docker

    , and cloud-native operations on the major public clouds.
  • Hands-on experience with

    SQL

    and data modeling in

    MongoDB

    ,

    Cassandra

    , or

    ClickHouse

    .
  • Love for clean tests—confidence with

    pytest

    (backend) and

    Playwright

    (UI).
  • Curiosity and comfort switching languages, frameworks, or unfamiliar systems when needed.
  • A bias toward delivering products, not just writing code.

Nice to Have

  • Exposure to

    AI/LLM-based tooling

    , workflows, or integrations.
  • Contributions to open-source or internal dev tool projects.
  • Familiarity with

    Grafana

    ,

    Prometheus

    , or

    OpenTelemetry

    for observability.
  • Passion for elegant architecture, automation, and experimentation.

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