Sr. Python Developer

Posted 19 Days Ago
Be an Early Applicant
Kolkata, West Bengal
Senior level
Consumer Web • Marketing Tech • Design
The Role
Develop a cloud-based structural analysis software in Python for a digital building fabrication platform. Implement various services for structural analysis and verification. Collaborate with subject matter experts and work on verifications of Reinforced Concrete structures.
Summary Generated by Built In

About Us

ZURU Tech is digitalizing the construction process of buildings all around the world. We have a multi-national team developing the world’s first digital building fabrication platform, you design, we build it!

We at ZURU develop the ZURU Home app, a BIM software meant for the public, architects, and engineers, from here anyone can buy, design, and send to manufacturing any type of building with complete design freedom. Welcome to the future!

 

What are you Going to do?

Since, we are developing a cloud-based structural analysis software in Python which can work in a distributed environment. The software will need to coordinate input and output from/to an external building design software and dispatch the messages to services. Therefore, below are the examples of services to be implemented:

📌 A service dedicated to the creation of a structural mesh from the building design.

📌 A finite element method (FEM) service able to perform the structural simulation interfacing an external FEM library written in C++.

📌 A service to perform structural verification applying country-specific rules coming from the building regulations.

📌 Subject matter experts (SMEs) will provide test cases of verification functions and additional requirements.

📌 Your main responsibility will be to read, interpret and implement these formulas and test them on the available test cases.

📌 Write the code for the verifications of Reinforced Concrete structures.

📌 Collaborate with SMEs in Kolkata and in Pune.

 

What are we Looking for?

✔ 7 years of experience in Python: Object-Oriented Python, data classes.

✔ 3+ years of experience in NumPy: slicing, indexing, broadcasting, ND-tensor representation.

✔ 3+ years of experience in SciPy: sparse representation (CSC, CSR).

✔ Software Engineering: knowledge of the software engineering principles and their applications.

✔ Test Driven Development. Knowledge of PyTest.

✔ Advanced knowledge of CI/CD pipeline and Dockerization.

✔ Proven Experience with distributed systems and cloud deployment.

 

What do we Offer?

💰 Competitive compensation

💰 Annual Performance Bonus

⌛️ 5 Working Days with Flexible Working Hours

🌎 Annual trips & Team outings

🚑 Medical Insurance for self & family

🚩 Training & skill development programs

🤘🏼 Work with the Global team, Make the most of the diverse knowledge

🍕 Several discussions over Multiple Pizza Parties

 

A lot more! Come and discover us!

 

 

Top Skills

Numpy
Python
Scipy
The Company
Los Angeles, CA
220 Employees
On-site Workplace
Year Founded: 2002

What We Do

ZURU is a disruptive and award-winning company that designs, manufactures and markets innovative toys and consumer products.

Inspired by kids and imaginative play, ZURU is one of the fastest growing toy companies in the world and is known for their agility, creativity and new-age manufacturing techniques.

The company that started in New Zealand now employs more than 5,000 staff across 18 offices, produces 600,000 toys a day and distributes to most major retailers in over 120 countries.

ZURU has delighted millions of families all over the world with brands such as Bunch O Balloons™, X-Shot™, Rainbocorns™, Robo Alive™, Smashers™, 5 Surprise™ and Metal Machines™ as well as through partnerships with entertainment properties, including Nickelodeon, Disney, Universal Studios and DreamWorks.

With a strong commitment to the community, ZURU supports Captivating International, local China orphanages and also student development programs in Asia and in New Zealand.

ZURU will continue to pave new ways for kids to play and focuses on reimagining what this looks like every day.

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