Full Stack Engineer

10 hours ago

Pune, Maharashtra, India Quantum Integrators Full time ₹ 8,00,000 - ₹ 24,00,000 per year

Role: Full Stack Developer/Engineer - MLOps

Location: Pune/Nagpur

Duratation: Fulltime

We are looking for Full Stack Developer/Engineer in MLOps to join the CBT Platform Development team. This role is critical in laying the foundation for a larger squad planned for 2026.

Must have – Python/Typescript/Azure/Kubernetes/ Front-end experience (React)

Nice to have – MLops and .net C#

Experience – 6 to 8 years

Start Date – ASAP

Interviews – 2 rounds of client interviews

Interview Approach:

  • Strong problem-solving skills
  • Approach to solving problems
  • Hands-on coding skills
  • Use of Copilot or similar tools to write code
  • Ability to write unit test cases
  • Following a modern development cycle

Job Description:

Seeking a highly skilled
Full Stack Engineer
with expertise in
MLOps
,
Kubernetes (K8s)
,
Apache Airflow
,
Python
,
TypeScript
,
Kadro
, and
Azure
to join our dynamic team. The ideal candidate will be responsible for designing, developing, and deploying scalable machine learning solutions and cloud-native applications, ensuring seamless integration and automation across platforms.

Key Responsibilities:

  • Develop and maintain end-to-end full stack applications with a focus on ML deployment and automation.
  • Design, implement, and manage scalable MLOps pipelines utilizing
    Kubernetes
    ,
    Airflow
    , and
    Azure
    .
  • Collaborate with data scientists and DevOps teams to automate ML workflows and deployment processes.
  • Build robust backend services using
    Python
    and integrate them with frontend components developed in
    TypeScript
    .
  • Manage container orchestration and deployment strategies using
    Kubernetes
    .
  • Develop and enhance cloud infrastructure and services on
    Azure
    to support scalable ML solutions.
  • Implement monitoring, logging, and alerting for deployed ML models and applications.
  • Ensure code quality, security, and best practices are followed throughout the development lifecycle.

Required Skills & Qualifications:

  • Proven experience in
    Full Stack Development
    with proficiency in
    Python
    and
    TypeScript
    .
  • Strong understanding of
    MLOps
    practices and tools.
  • Hands-on experience with
    Kubernetes (K8s)
    for container orchestration.
  • Experience with
    Apache Airflow
    for workflow automation.
  • Solid knowledge of
    Azure cloud platform
    services and infrastructure management.
  • Familiarity with
    Kadro
    (or equivalent workflow/automation tools).
  • Experience in deploying and managing ML models in production environments.
  • Strong problem-solving skills and ability to work in a collaborative team environment.
  • Excellent communication skills and ability to adapt to evolving project requirements.

Preferred Qualifications:

  • Experience with CI/CD pipelines and DevOps practices.
  • Knowledge of data engineering and database management.
  • Prior experience working in a cloud-native environment.

Regards

Vibha Patel

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