Who We Are

Sibros is accelerating the future of SDV excellence with its Deep Connected Platform™ that orchestrates full vehicle software update management, vehicle analytics, and remote commands in one integrated system. Adaptable to any vehicle architecture, Sibros’ platform meets stringent safety, security, and compliance standards, propelling OEMs to innovate new connected vehicle use cases across fleet management, predictive maintenance, data monetization, and beyond.

Learn more at www.sibros.tech.

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Our Mission

To innovate remarkable connected mobility technologies that give our customers unmatched value and are essential to how people and goods move from point A to point B. Our goal is to make it simple for the world’s trailblazing OEMs to develop at speed and at scale securely keeping the roads and drivers safe.

About Us:

Sibros is accelerating the future of SDV excellence with its Deep Connected Platform™ that orchestrates full vehicle software update management, vehicle analytics, and remote commands in one integrated system. Adaptable to any vehicle architecture, Sibros’ platform meets stringent safety, security, and compliance standards, propelling OEMs to innovate new connected vehicle use cases across fleet management, predictive maintenance, data monetization, and beyond. 

Learn more at www.sibros.tech.

About the Role:

Job Title: Software Engineer II

Reporting to: Engineering Manager

Location: Pune, India

Job Type: Full-Time

Experience: 

One of Sibros’ core products is to offer OTA (over-the-air) software updates to a fleet of vehicles. We believe all the new vehicles will have some form of connectivity to the cloud in a few years. We are building a deployment engine that powers millions of vehicles with millions of software updates. While this is not an easy problem to solve, especially in the automotive industry: vehicles could go offline anytime, poor network connectivity is a norm, updates need to happen only in safe circumstances… the list could go on. As part of the team, you will tackle one of the most challenging and critical problems in the OTA domain at planet scale, untangling various race conditions and scaling issues in a large distributed system. Your responsibilities include, but are not limited to:

What you’ll do:

• Understand the limitations of various cloud native/open sourced, streaming/data related solutions, and leverage them to build data driven applications such as trip processing, geofence alerting, vehicle components health prediction, etc.
• Develop and optimize streaming data pipelines using Apache Beam, Flink, and Google Cloud Dataflow.
• Collaborate closely with firmware engineers, frontend engineers and product owners to build highly scalable solutions that provide fleet insights.
• Wear multiple hats in a fast-paced startup environment, adapting to new challenges and responsibilities.
• Understand customer requirements and convert them into engineering ideas to build innovative real-time data applications.

What you have:

• Over 2+ years of experience in software engineering.
• Excellent understanding of computer science fundamentals, data structures, and algorithms.
• Strong track record in designing and implementing large scale distributed systems.
• Willingness to wear multiple hats and adapt to a fast-paced startup environment.
• Proficiency in writing production-grade code in GoLang or Java.
• Hands-on experience with Kubernetes, Lambda, and cloud-native services, preferably in Google Cloud or AWS environments.
• Experience in Apache Beam/Flink for building and deploying large-scale data processing applications.
• Passionate about the vision and mission of the company, and interested in solving challenging problems in the automotive IoT domain.

Preferred Qualifications

• Experience designing and building systems for large-scale IoT deployments, including data collection, processing, and analysis.
• Experience with streaming and batch processing models using open-source tools such as Apache Kafka, Flink, and Beam.
• Expertise in building cloud-native solutions using Google Cloud, AWS, or Azure.
• Experience in working with large scale time-series databases such as Apache Druid, Clickhouse.
• Experience in working with streaming processing open source tools such as Apache Kafka, Flink.

What We Offer:

• Competitive compensation package with performance incentives.
• A dynamic work environment with a flat hierarchy and the opportunity for rapid career advancement.
• Collaborate with a dynamic team that’s passionate about solving complex problems in the automotive IoT space.
• Access to continuous learning and development opportunities.
• Flexible working hours to accommodate different time zones.
• Comprehensive benefits package including health insurance and wellness programs.
• A culture that values innovation and promotes a work-life balance.

Employment Opportunity

Sibros is committed to a policy of equal employment opportunity. We recruit, employ, train, compensate, and promote without regard to race, color, age, sex, ancestry, marital status, religion, national origin, disability, sexual orientation, veteran status, present or past history of mental disability, genetic information or any other classification protected by state or federal law.

Privacy 

At Sibros, we value your privacy and understand the importance of safeguarding your personal information. In order to effectively track candidates for current and future opportunities, we collect and securely store your personal data. The information you provide during the application process will be kept confidential and used solely for recruitment purposes.

To ensure the highest level of privacy protection, we utilize third-party service providers for data management but never share your information for any other purpose outside of recruitment. Should you need to access, update, or delete your candidate profile information, our dedicated team is available to assist you. Please contact us at privacy@sibros.tech for any questions or requests.

To learn more about our commitment to data privacy, including compliance with GDPR and CCPA regulations, please visit our website at sibros.tech/privacy-policy