דרושים » הנדסה » DevOps Engineer for Embedded & Cyber Systems

we are looking for a DevOps Engineer for Embedded & Cyber Systems.

Head of DevOps.
About us:
We are a global fintech software company providing ultra-low latency trading and market data solutions to the worlds largest banks and hedge funds. We specialize in cutting-edge technology that powers mission-critical financial systems. With a major R&D center in Jerusalem and development hubs across Europe and Asia, Fluent offers a dynamic, fast-paced, and collaborative environment driven by innovation and excellence. Company Website: www.fluenttech.net
Position Overview We are seeking a hands-on Head of DevOps to lead and scale our global DevOps team. In this strategic role, you will transform our very complex setup and configuration process, which is currently text-based and manual, into a semi-automated and scalable.. You will be responsible for shaping our DevOps culture, driving automation, and managing the allocation of DevOps resources.. This is a high-impact leadership role requiring deep technical expertise, operational excellence, and strong collaboration with engineering, QA, and client delivery teams. Revolution / transformation
Key Responsibilities
* Lead, mentor, and grow a distributed team of DevOps engineers.
* Oversee environment versioning, configuration management, and infrastructure automation.
* revolutionize our text-based configuration into a generator-based process, supporting a quick span to multiple servers and flexibility to development expansions.
* Drive DevOps knowledge collection and team training - the DevOps team should be the Gold standard as to how to configure and deploy any component or module.
* Manage the team - recruit, train, allocate tasks, supervise delivery. (Note that you are not expected to be the technical leader).
* Drive adoption of DevOps best practices, including monitoring, incident response, and security hardening.
* Continuously evaluate and integrate new technologies to enhance reliability, scalability, and speed of delivery. Location:
* This is a full-time, on-site position in Jerusalem

Are you interested in working in an agile environment supporting and delivering industry-leading field service mobile applications and services?

Youre a talented, remarkable, and ambitious DevOps Engineer with good skills in Back end development? Come join us!

As a Senior DevOps Engineer, you will ensure the reliability, availability, and scalability of our infrastructure, applications, and services. You will work closely with our development and operations teams to ensure our systems are optimized for performance and security.
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The role:

You will be in charge of:

- Managing AWS or other equivalent cloud provider infrastructure.

- Managing and operating GitHub / Bit bucket repositories and Docker

images.

- Support and troubleshoot the engineering / research teams with AWS and

GitHub issues.

- Setting up, maintaining, and deploying tools and products to various

distributed systems.

- Managing and enforcing our infrastructure security.

An AI-first tech company in the automotive space with hubs across the US and Israel. Our mission is to constantly disrupt the industry by creating new, groundbreaking technologies to help dealers build stronger, more resilient businesses. Our work happens in the fast lane as we work to bring AI and data -driven solutions to a quickly evolving industry. Our team is made up of curious and creative individuals who are always looking to achieve the impossible. We are bold, collaborative, and goal driven, and, at our core, we believe every voice has value and can impact our bottom line. We are looking for a Top University Graduate to join us as a Junior software engineer and make a real impact on our R&D team! In this role you will have the opportunity to take ownership of the development of amazing new products and work on interesting projects inside a smart, fun, and dynamic engineering team. We seek an individual passionate about tackling tech challenges, with a proactive and AI first approach to push forward a love for coding and a dedication to excellence. This is a full-time, on-site position based in our Jerusalem office in Talpiyot or Tel-Aviv office near HaShalom Train Station.

What you will be responsible for:

* Write clean, high-quality, maintainable code across our stack
* Take ownership of features and projects end-to-end - from design through deployment
* Collaborate closely with product, design, and fellow engineers to ship impactful solutions

Why you should join us:

* An awesome global team of forward-thinking, innovative go-getters
* Learning and growth opportunities within a fast-paced tech startup environment
* Clear career advancement path for strong performers
* As a part of our team, your success in this role is crucial to our company's growth. We are committed to supporting you in achieving your KPIs and goals and providing regular feedback to help you reach your full potential. Together, we can make a real impact and achieve great things!
* Cibus and lots of yummy treats:-)

Your experience building well-architected, high-performance frontend components will directly impact how quickly teams can ship, how consistent our products feel, and how confidently we can continue to innovate at scale.

What Youll Do:
Build and maintain shared frontend foundations used across products, with a strong focus on scalability, performance, and long-term maintainability.
Build, document, and maintain a shared UI components library used across products.
Develop high-performance data visualization components and reusable interface patterns.
Collaborate with design and product teams to transform Figma designs into functional React components.
Take ownership of projects and collaborate effectively across teams to deliver production-grade UI solutions.
Participate in the modernization and technical health of the frontend by refactoring, improving architecture and state management, enforcing code quality standards, and continuously optimizing rendering, bundling, and build workflows
Leverage AI tooling to assist with frontend development workflows, including code generation and refactoring, performance analysis and design-to-code alignment, while applying strong engineering judgment to review and productionize results.

This role is a great fit for someone who thrives in an environment that values speed without compromising on quality, and who enjoys taking full ownership of their work end to end. If you are curious by nature, demonstrate strong entrepreneurial thinking, are not afraid to ask questions, and know how to navigate ambiguity while moving quickly, you will do well .

As a Large Scale Training Engineer, you will play a key role in enhancing the training throughput of our internal framework and enabling researchers to pioneer new model concepts. This role demands excellent engineering skills for designing, implementing, and optimizing cutting-edge AI models, alongside writing robust machine learning code and understanding supercomputer performance deeply. Your expertise in performance optimization, understanding distributed systems, and bug elimination will be crucial, as our framework supports extensive computations across numerous virtual machines.

This role is designed for individuals who are not only technically proficient but also deeply passionate about pushing the boundaries of AI and machine learning through innovative engineering and collaborative research.

Key Responsibilities
Profile and optimize the training process to ensure efficiency and effectiveness, including optimizing multimodal data pipelines and data storage methods.
Develop high-performance TPU/GPU/CPU kernels and integrate advanced techniques into our training framework to maximize hardware efficiency.
Utilize knowledge of hardware features to make aggressive optimizations and advise on hardware/software co-designs.
Collaboratively develop model architectures with researchers that facilitate efficient training and inference.
Design, maintain, and evolve a high-quality, shared codebase that emphasizes correctness, readability, extensibility, testing, and long-term maintainability, while balancing performance requirements.

As a Large Scale Video Understanding Research Scientist, you will play a key role in improving video generation quality and efficiency by improving video and audio understanding pipelines used for both training data construction and model evaluation.. This role demands hands-on work with large-scale Video Language Models (VLLMs), including fine-tuning, post-training, and control, alongside implementing classic computer vision and signal processing algorithms and applying strong research skills. Your expertise in post-training and controlling large scale foundational models, understanding statistics, implementing complex systems and eliminating bugs will be crucial, as our video training sets consist of petabytes of data processed across hundreds to thousands of virtual machines.

What you will be doing
Fine-tune and control VLLMs for video and audio understanding.
Design algorithms for balancing, filtering, and curating training and evaluation datasets, informed by model behavior and failure modes.
Implement classic and modern algorithms for processing, clustering, evaluation and filtering of large scale datasets.
Work within high-performance, scalable distributed systems capable of handling petabytes of data, with attention to throughput, correctness, and reproducibility..
Collaborate with other researchers and product stakeholders to iteratively improve training sets and evaluation protocols through tight feedback loops driven by model performance.