Staff Data Engineer at Netradyne

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

21 Dec, 25

Salary

0.0

Posted On

22 Sep, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Cloud Computing, Data Ingestion, Data Processing, AI Integration, Automation, Model Deployment, Gen-AI Tools, AWS, RDBMS, NoSQL, Linux, Docker, Web Frameworks, Machine Learning, Databases

Industry

Software Development

Description

Netradyne harnesses the power of Computer Vision and Edge Computing to revolutionize the modern-day transportation ecosystem. We are a leader in fleet safety solutions. With growth exceeding 4x year over year, our solution is quickly being recognized as a significant disruptive technology. Our team is growing, and we need forward-thinking, uncompromising, competitive team members to continue to facilitate our growth. ROLE AND RESPONSIBILITIES You will be embedded within a team of data engineers and data scientists; responsible for building and productizing large scale data ingestion pipelines. You will: • Develop various cloud/web components to ingest, process, transform, and visualize data at scale. • Develop back-end components to improve responsiveness and overall performance. • Collaborate with cross-functional teams to integrate AI-driven solutions into business operations. • Build and enhance frameworks for automation, data processing, and model deployment. • Utilize Gen-AI tools and workflows to improve the efficiency and effectiveness of AI solutions. • Deployment and monitoring of production ready infrastructure. REQUIREMENTS: • B. Tech or M. Tech in computer science or electrical engineering. • At least 5 years of working experience in Python software development with experience is leading projects end-to-end. • Strong programming skills in Python and solid fundamentals in computer science, particularly in algorithms, data structures, and OOP. • Prior experience in working with AWS services or similar cloud platforms. • Good understanding of internals and schema design for various data stores (RDBMS and NoSQL). • Good linux fundamentals and grasp of concepts like virtualenv, docker etc. DESIRED SKILLS: • Knowledge of best practices in software development, including version control, testing, and continuous integration. • Expertise in at least one popular Python web-framework (like Django or Flask) is a plus. • Basic understanding of probability, machine-learning, and deep-learning concepts is a plus. • Hands-on experience with databases like MongoDB, Cassandra is a plus. • Exposure to AWS services like Kinesis, EKS, ASG etc is a plus. We are committed to an inclusive and diverse team. Netradyne is an equal-opportunity employer. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status, or any legally protected status. If there is a match between your experiences/skills and the Company's needs, we will contact you directly. Netradyne is an equal-opportunity employer. Applicants only - Recruiting agencies do not contact. Recruitment Fraud Alert! There has been an increase in fraud that targets job seekers. Scammers may present themselves to job seekers as Netradyne employees or recruiters. Please be aware that Netradyne does not request sensitive personal data from applicants via text/instant message or any unsecured method; does not promise any advance payment for work equipment set-up and does not use recruitment or job-sourcing agencies that charge candidates an advance fee of any kind. Official communication about your application will only come from emails ending in ‘@netradyne.com’ or ‘@us-greenhouse-mail.io’. Please review and apply to our available job openings at Netradyne.com/company/careers. For more information on avoiding and reporting scams, please visit the Federal Trade Commission's job scams website.

Responsibilities

You will be responsible for building and productizing large scale data ingestion pipelines. This includes developing cloud/web components, improving back-end performance, and collaborating with cross-functional teams to integrate AI-driven solutions.