We are looking for an experienced engineer with superb technical skills. You will primarily be responsible for architecting and building large scale data pipelines that delivers AI and Analytical solutions to our customers. The right candidate will enthusiastically take ownership in developing and managing a continuously improving, robust, scalable software solutions. The successful candidate will be curious, creative, ambitious, self motivated, flexible, and have a bias towards taking action. As part of the early engineering team, you will have a chance to make a measurable impact in future of Thinkdeeply as well as having a significant amount of responsibility. Although your primary responsibilities will be around back-end work, we prize individuals who are willing to step in and contribute to other areas including automation, tooling, and management applications. Experience with or desire to learn Machine Learning a plus. Experience 12+ Years Location Hyderabad Skills Bachelors/Masters/Phd in CS or equivalent industry experience 10+ years of industry experience in java related frameworks such as Spring and/or Typesafe Experience with scripting languages. Python experience highly desirable. 5+ Industry experience in python Experience with popular modern web frameworks such as Spring boot, Play framework, or Django Demonstrated expertise of building and shipping cloud native applications Experience in administering (including setting up, managing, monitoring) data processing pipelines (both streaming and batch) using frameworks such as Kafka, ELK Stack, Fluentd Experience in API development using Swagger Strong expertise with containerization technologies including kubernetes, docker-compose Experience with cloud platform services such as AWS, Azure or GCP. Implementing automated testing platforms and unit tests Proficient understanding of code versioning tools, such as Git Familiarity with continuous integration, Jenkins Responsibilities Architect, Design and Implement Large scale data processing pipelines Design and Implement APIs Assist in dev ops operations Identify performance bottlenecks and bugs, and devise solutions to these problems Help maintain code quality, organization, and documentation Communicate with stakeholders regarding various aspects of solution. Mentor team members on best practices
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