Python Developer

3 weeks ago

Gurgaon, Haryana, India DEUTSCHE TELEKOM DIGITAL LABS PRIVATE LIMITED Full time

Objective of the Role :

We are looking for a candidate with expertise in Python and Java to take a lead role in developing and delivering innovative solutions.

You Will :

- Lead the design, implementation, and deployment of scalable, high-performance features for our RAG-based solution.

- Own projects from ideation to delivery, ensuring high-quality technical execution and business alignment.

- Work closely with cross-functional teams, including Product Managers, Data Scientists, DevOps, and other Engineers, in an agile work environment.

- Write clean, maintainable, and well-documented code in Python, Java, and other languages where applicable.

- Leverage GCP, AWS, or other cloud platforms to build robust and scalable solutions.

- Provide guidance, reviews, and mentorship for other engineers in the team, fostering a culture of technical excellence.

You must have :

- Strong programming skills with a focus on Python and Java.

- Experience with modern software engineering practices, including unit testing, CI/CD, and code reviews.

- Ability to break down complex problems and build innovative solutions.

- Solid understanding of threading, concurrency, and scalable systems.

- Hands-on experience with GCP and/or AWS technologies and services.

- Exposure to microservices architectures and cloud-native design patterns.

- Exceptional collaboration and communication skills.

- Proven track record of owning projects end-to-end and driving them to completion.

Good to Have :

- Proficiency in other programming languages such as NodeJS, Kotlin, or TypeScript.

- Knowledge of NoSQL databases like MongoDB or Cassandra.

- Understanding of RAG (Retrieval-Augmented Generation) and familiarity with LLMs.

- Experience with API testing and automation using tools like Postman, Rest Assured, or Karate.

- Familiarity with monitoring and observability tools like Kibana, Grafana, etc.

- Familiarity with containerization technologies like Docker or Kubernetes.

- Understanding of non-functional requirements such as performance optimization, monitoring, crash logging, and resource consumption.

(ref:hirist.tech)

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