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Python Backend Developer

2.00 to 7.00 Years   Pune   20 May, 2021
FlytBase
Job LocationPune
EducationNot Mentioned
SalaryNot Disclosed
IndustryIT - Software
Functional AreaGeneral / Other Software
EmploymentTypeFull-time

Job Description

Roles/Responsibilities

  • Designing, implementing and deploying updates, features to the FlytCloud backend system. The work typically requires writing RESTful APIs.
  • Derive key metrics from the system to estimate system health and performance.
  • Prepare automated test suites for continuous health monitoring of the backend systems.
  • Perform load testing to understand potential scale issues and take corrective measures.
  • Integrate tools for incidence report and response, to ensure high availability of the backend system.
  • Drive Security practices implementation. (Troubleshoot incidents, identify root cause, configuration, fix and document problems, patching systems for vulnerabilities, and implement preventive measures)
  • Maintain codes, users and API documentation.
  • Setting up the CI/CD automation environment for web applications using Jenkins/ECS.
  • Manage Linux Virtual machines on EC2 ensuring correct VPC, Security Group settings.
  • Integrate automated data pipelines to enable analysis of usage patterns on 3rd party analytics platforms.

Skills/Experience required

  • 2+ years of programming/scripting experience in Python.
  • Developed and deployed high-performance backend applications using python.
  • Good understanding of asynchronous programming, multi-processing, networking, microservices architecture, etc.
  • Experience with RESTful APIs, Websocket protocol.
  • Good at using Docker, version control (git).
  • Integrated unit tests for python applications using Pytest, etc.
  • Deployed server applications using Nginx, Apache, etc.
  • Experience with blackbox and whitebox security, vulnerability and penetration testing using Jmeter, SonarCube or other tools.
  • Good code documentation practices, using docstrings, markdown, etc.
  • Experience in AWS production cloud deployments.
  • Experience with EC2, Load Balancers, Auto Scaling, Jenkins, ECS, CodePipeline, GitLab pipeline, Cloudwatch, Lambda.

Good to have:

  • Used tools like Swagger (OpenAPI) for API documentation.
  • Worked with PagerDuty, OpsGenie or other tools for incident reporting.
  • Exposure to video streaming tools, e.g. WebRTC.
  • Exposure to Deep Learning, Computer Vision.
  • Exposure to Data Analytics.
,

Keyskills :
mysqljavascriptcssapihtmlwhite boxroot causetest suiteskey metricsload testingdeep learningversion controlvirtual machinesweb applicationshigh availabilitypenetration testingdocumentation practicesrestful apisawsecs

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