Senior Platform Engineer

5 years

0 Lacs

Posted:9 hours ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Senior Platform Engineer


Key Responsibilities:

  • Design, develop, and deploy workflows

    : Implement end-to-end workflows and integrate them with upstream and downstream systems.
  • Build and maintain third party API integrations

    : Write clean, scalable, and efficient Python code leveraging popular frameworks such as Flask , FastAPI ,Spring , Play.
  • Cloud Infrastructure Development

    : Work with cloud platforms (AWS) and use Kubernetes and Docker to deploy and scale applications.
  • Data Pipeline Development

    : Collaborate with the data engineering team to integrate Python applications with SQL/NoSQL databases and manage ETL pipelines.
  • DevOps Practices

    : Ensure smooth CI/CD, logging, and monitoring of platform services.
  • Develop utilities and integration components

    : Build reusable utilities and components required for workflow automation and integration with other services.
  • Security enhancement :

    Collaborate with the security team to ensure platform security, implementing best practices in identity management, and data protection.
  • Collaborate with cross-functional teams

    : Work with engineering, product, and data science and QA teams to deliver robust SaaS platform features.

Qualifications:

  • 5+ years of coding experience

    with Python, Java, Scala, SQL, and associated frameworks (Flask, Django, Spring , Play framework etc.).
  • Experience with

    Data Engineering

    concepts and tools like ETL pipelines, data modeling, and SQL-based databases.
  • Exposure to

    Big Data

    tools like Spark (scala/python), Kafka, or Airflow would be an added advantage.
  • Proficient in working with RESTful APIs and third-party API integrations.
  • Familiarity with CI/CD tools like Jenkins, GitLab, or similar.
  • Excellent problem-solving skills and a passion for automation and workflow improvement.
  • Experience in building services for

    SaaS platforms

    with

    containerization technologies

    like Docker and Kubernetes is a plus.

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