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Python Fullstack Developer

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Onsite

Python Fullstack Developer

Wroots Global

Python Fullstack Developer

Skills

Google Cloud PlatformSQL QueriesDockerReactPythonMicroservicesSnowflakeGitGitLabJenkinsAWSKubernetesJiraTerraformAzure

1 month ago

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Important information


Contract type:

Permanent

Location:

Bagalur, Karnataka 562122, India

Work mode:

Onsite

Published on:

9 September 2026

What they need


Designation: Senior Engineer

Location Bangalore

Experience 4 to 10 Years

Shift Timings – 12:00 PM – 9:30 PM IST

Job Description

We are seeking a highly skilled and innovative Senior Development Engineer to join our team. The ideal candidate will have strong expertise in Python, AWS/Azure/GCP, UI(React), SQL, Docker, REST API, and microservices, with a solid understanding of scalable architectures and modern development practices. You will be responsible for designing, developing, and maintaining high-quality software solutions, collaborating closely with cross-functional teams, and driving technical excellence across the product lifecycle.

Required Skills and Qualifications

  • Experience: 4-9 years in software development with strong backend and cloud expertise.
  • Programming: Strong proficiency in Python along with React-based UI implementation and object-oriented programming concepts.
  • Cloud Platforms: Hands-on experience with AWS/Azure/GCP for application deployment and scaling.
  • Microservices: Proven track record in designing and implementing microservices architectures.
  • Databases: Proficiency in SQL and experience with Snowflake or similar cloud data warehouses.
  • Soft Skills: Excellent communication, collaboration, and analytical skills. Have excellent problem-solving skills and the ability to solve sophisticated issues.
  • Git: Experience with version control systems (Git), defect tracking tools (e.g., JIRA or similar), and CI/CD tools (e.g., Jenkins or GitLab CI).

Good to Have Skills

  • Familiarity with Terraform for infrastructure as code.
  • Familiarity with containerization tools like Docker and Kubernetes.
  • Knowledge of performance tuning and optimization for large-scale applications.

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