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We are looking for people who are passionate about leading technology to the extreme. If you are striving to develop an innovative product, make an impact, and work with the industrys brightest talent as part of one of the fastest-growing and successful startups around

What will you actually be doing?
End to end development of features and systems that are used daily by key stakeholders, both internally and externally.

A technical focal point for software development best practices and design of main components, services and systems.

Integrate AI into the company applications.

Improve development workflow with AI capabilities.

Be part of an organic team developing in a fast paced environment based on CI/CD.

Investigate, implement and share new technologies and ideas.

As a developer on the Big Data Platform, you will be a part of the outstanding group that builds intelligent data infrastructure, directly powering context-aware AI models and autonomous workflow automation. We are looking for people who look at engineering differently-people who are passionate about scaling AI-ready data layers, optimizing real-time context streaming, and leading the smart platform solutions they envision. If you are passionate about developing a cutting-edge data foundation that drives conversational AI execution across enterprise applications, making a massive impact, and striving to work with the industrys best talent
What will you actually be doing?
End to end development of features and systems that are used daily by key stakeholders, both internally and externally

A technical focal point for software development best practices and design of main components, services and systems.

Explore, implement, and introduce cutting-edge technologies and innovative ideas.

We are looking for people who are passionate about leading technology to the extreme. If you are striving to develop an innovative product, make an impact, and work with the industrys brightest talent as part of one of the fastest-growing and successful startups around


What will you actually be doing?
End to end development of features and systems that are used daily by key stakeholders, both internally and externally.

A technical focal point for software development best practices and design of main components, services and systems.

Integrate AI into the company applications.

Improve development workflow with AI capabilities.

Be part of an organic team developing in a fast paced environment based on CI/CD.

Investigate, implement and share new technologies and ideas.

We are looking for a Devops Engineer to join our amazing Cloud Engineering team. We are developing revolutionary runtime engine and transforming the online experience for hundreds of millions of users. We are looking for people who are passionate about leading technology to the extreme.

If you are striving to develop an innovative product, make an impact, and work with the industrys brightest talent as part of one of the fastest-growing and successful startups around - where you want to be!
As part of the Cloud Engineering team, youll do the following:
Lead the technical solutions with a strong understanding of the latest and greatest technologies like Kubernetes, Helm, Terraform and more.
Develop and automate the processes to deploy, manage and configure our application in an AWS environment.
Write complex CI/CD processes
Support and build dynamic environments.
Build tools for internal usage with the purpose of optimizing task performance.
Containerize our services and manage them with orchestration frameworks.
Solve technical problems in our systems and improve deployment and maintenance.

As a Staff Software Engineer at our company, you will play a critical role in building our platform. Your expertise and contributions will have a direct impact on the success and effectiveness of our product. Specifically, your responsibilities will include:

Lead, design, architect and build high-quality scalable software by introducing best practices around software engineering architecture and processes
Raise the bar on engineering excellence by improving standard methodologies, producing best-in-class code, documentation, testing, and monitoring
Collaborate with product and R&D engineers to translate product requirements into technical solutions.
Identifying and resolving technical issues and performance bottlenecks.
Staying up to date with the latest industry trends and technologies to continuously improve our products.
Be a mentor for colleagues and help promote knowledge-sharing

We are seeking a Principal Software Engineer to help define and build the next generation of solutions for running Microsoft Windows as a guest operating system on OpenShift Virtualization. In this role, you will apply your in-depth knowledge of Windows operating systems to contribute to a critical component of our OpenShift. You will work within a collaborative, globally distributed team and have the opportunity to make a significant impact on our cloud-native and Kubernetes virtualization offerings.

What you will do:

Architect, design, and implement features related to the Windows guest operating system experience within OpenShift Virtualization, focusing on performance, stability, and interoperability.

Serve as a primary resource for technical expertise on Windows guest issues, collaborating with upstream communities and other engineering teams.

Contribute to the full development life cycle, including requirement analysis, design, development, testing, and documentation.

Mentor junior team members and provide technical leadership on complex projects.

Engage with upstream communities like Kubernetes, KubeVirt, and QEMU to contribute and align our strategy.

Troubleshoot and resolve complex problems reported by customers and quality engineering teams.

Advocate for best practices in software development, including code quality, continuous integration, and automated testing.

At Infinidat, a Lenovo company, we empower enterprises and service providers with cutting-edge storage platforms that redefine performance, reliability, and cyber resilience at scale. As a Software Engineer in Test at INFINIDAT, you need to be innovative and passionate about quality. You will continuously design creative ways to break software and identify potential bugs. In this role, you will be responsible for driving test development and infrastructure of an enterprise-grade, distributed storage system and build automated test suites.

Responsibilities:

* Develop complex test scenarios and tools using our massive infrastructure in Python
* Build and design infrastructures, tools and utilities
* Take an active role in product architecture and design decisions
* Participate in all stages of the development process - from design to delivery
* Design test plans for large and complex features in the product
* Investigate and solve hard-to-find problems such as race conditions, delicate timing issues and problems happening only at large scales or high performance
* Sign-off on official product releases: you'll have the authority to say "not good enough!"

At UVeye, we're on a mission to redefine vehicle safety and reliability on a global scale. Founded in 2016, we pioneered the world's first fully automated suite of AI-powered vehicle inspection systems, combining computer vision, machine learning, and generative AI. With over $380M in funding and strategic partnerships with Toyota, Amazon, General Motors, JLR, Volvo, and Hertz, our technology is deployed across manufacturing plants, dealerships, wholesale auctions, fleets, and seaports worldwide. Named one of Fast Company's Most Innovative Companies of 2026, our 300+ global employees are solutions-oriented, accountable, and driven by one shared goal: making roads safer for everyone.
We are looking for an experienced Data Engineering Team Leader In this role, you will lead and strengthen our Data Team, drive innovation, and ensure the robustness of our data and analytics platforms.
?A day in the life and how you’ll make an impact:
* Drive the technical strategy and roadmap for the data engineering function, ensuring alignment with overall business objectives.
* Own the design, development, and evolution of scalable, high-performance data pipelines to enable diverse and growing business needs.
* Establish and enforce a strong data governance framework, including comprehensive data quality standards, monitoring, and security protocols, taking full accountability for data integrity and reliability.
* Lead the continuous enhancement and optimization of the data analytics platform and infrastructure, focusing on performance, scalability, and cost efficiency.
* Champion the complete data lifecycle, from robust infrastructure and data ingestion to detailed analysis and automated reporting, to maximize the strategic value of data and drive business growth.

We are looking for a Senior Software Engineer to join our Sensors Team and play a key role in the development of our Endpoint Sensor (Agent) platform. This is a hands-on senior position with strong technical ownership, focused on designing, building, and maintaining high-performance endpoint sensors across multiple operating systems.

In this role, you will work closely with sensor, analysis, and platform teams to ensure reliable, efficient, and scalable data collection in highly complex and demanding customer environments. The position requires deep systems knowledge, strong problem-solving skills, and the ability to influence technical direction through technical expertise.

RESPONSIBILITIES
Design, implement, and maintain endpoint sensors on Windows, macOS, and multiple Linux distributions, including installation processes and shared APIs.
Take technical ownership of key components within the endpoint sensor stack, ensuring high performance, reliability, and low resource footprint.
Collaborate with cross-functional engineering teams to define APIs, schemas, and data flows, ensuring data accuracy, availability, and correctness across the system.
Participate in architectural and design discussions, contributing to technical decisions and long-term system evolution.
Identify and implement improvements across the system, from core business logic to new data sources and monitoring capabilities.
Troubleshoot and resolve complex issues related to sensor deployment, behavior, and performance across different operating systems and environments.
Maintain high engineering standards, including code quality, testing, documentation, and maintainability, while working within an agile development process.

We're seeking a Staff engineer - AI Builder to lead the design and implementation of AI-native technical frameworks that redefine how large-scale systems are built, extended, and evolved.

This role is deeply technical and architecture-driven, focused on designing modular, extensible, and AI-first system foundations that enable scalable development with AI as a core engineering collaborator.

You will work across the full stack, building infrastructure where AI actively generates, extends, and maintains software components as part of the native development flow.

This is not about incremental AI integration - this is about architecting the frameworks that let AI scale software engineering 10x faster and smarter.

Responsibilities:
Architect and lead the development of AI-native system frameworks that emphasize modularity, extensibility, and adaptive scalability.
Build platform primitives that enable dynamic AI-driven module and extension generation.
Design and implement developer workflows optimized for AI-assisted software development, embedding AI collaboration as a first-class design principle.
Define and codify AI-native engineering practices, patterns, and guidelines to elevate our software development lifecycle.
Establish and champion best practices for AI-assisted engineering across system design, code quality, testing, observability, and operational scalability.
Drive hands-on prototyping and iterative delivery across frontend, backend, and orchestration layers.
Provide technical leadership and mentorship, fostering an AI-first engineering culture across teams.
Partner closely with Product, AI, and Engineering teams to align system evolution with AI-native goals.