דרושים » תוכנה » Staff Infra Engineer

we are revolutionizing the way businesses interact with the digital world by revealing to them everything that happens online.
Our unique data and solutions empower over 4,300 customers globally, including industry giants like Google, eBay, and Adidas, to make game-changing decisions that drive their digital strategies.
In 2021, we went public on the New York Stock Exchange, and we continue to reach new heights! Come work alongside across the globe who are bright, curious, practical and good people.
What Youll Do:
Youll be part of the group responsible for main products. You will impact the work of developers in the group by designing, building and maintaining the core infrastructure of our solution and leading the research and development of new technologies as well as maintaining code standards and practices.
What does the day to day of Infrastructure Engineer at look like:
You will be working on core B2B platform that serves tens of thousands of customers, serving hundreds of terabytes in production. Our backend engineers are responsible for the entire data lifecycle - from our endless datatlakes, through choosing the right serving methods and databases, all the way to our api services.

Your role will include:
Design and implement scalable backend services and libraries that are reusable and maintainable, serving as the foundation for various applications across the company.
Build and maintain tools that streamline development workflows, enabling product teams to focus on delivering business value.
Define and promote best practices for code quality, performance, and reliability, ensuring healthy production environments and rapid development cycles.
Lead the adoption and integration of AI tools to assist in code generation, testing, documentation, and debugging, thereby accelerating development processes.
Perform proof-of-concepts (POCs) on emerging technologies, including AI agents and platforms, to assess their applicability and benefits to our development ecosystem.
Drive cross-team technical projects aimed at improving infrastructure scalability, reliability, and developer experience.
Analyze and resolve complex production issues, ensuring minimal downtime and optimal performance.
Contribute to the evolution of our system architecture, ensuring it supports rapid development and scaling needs.

As a Software Developer you will be responsible to:

Play a key role in designing and implementing infrastructure solutions to support our development and deployment processes. This role requires a versatile individual with strong technical skills, an out-of-the-box thinker, and a passion for solving challenging problems in cloud-based environments.

Key Responsibilities:
Develop, maintain, and optimize Python-based services and tools for cloud platforms (AWS preferred).
Design and implement scalable and secure infrastructure solutions, leveraging modern cloud technologies.
Build and maintain APIs, microservices, and server-side applications using Python frameworks.
Collaborate with cross-functional teams to integrate CI/CD pipelines and improve deployment efficiency.
Troubleshoot and resolve technical bottlenecks in cloud-based systems.
Contribute to system architecture design and ensure best practices are followed.
Stay up-to-date with emerging technologies and trends to continuously improve development and deployment processes.

we are the leader in Behavioral Biometrics, a technology that leverages machine learning to analyze an online users physical and cognitive digital behavior to protect individuals online. our companys mission is to unlock the power of behavior and deliver actionable insights to create a digital world where identity, trust, and ease coexist.Today, 34 of the world's largest 100 banks and 210 total financial institutions rely on our companyConnect to combat fraud, facilitate digital transformation, and grow customer relationships.. our companys Client Innovation Board, an industry-led initiative including American Express, Barclays, Citi Ventures, and National Australia Bank, helps our company to identify creative and cutting-edge ways to leverage the unique attributes of behavior for fraud prevention. With over a decade of analyzing data, more than 80 registered patents, and unparalleled experience, our company continues to innovate to solve tomorrows problems.
We are looking for a proactive and skilled Software Infrastructure Developer to join our team, focusing on building robust and scalable infrastructure to support seamless automation and reliability across systems. This role is essential in ensuring efficient integration within our CI/CD pipelines, creating tools and frameworks for end-to-end automation, and working with engineering teams to continuously enhance system stability. The ideal candidate will bring strong technical expertise in automation, CI/CD (with hands-on knowledge of Jenkins), containerization, and cloud infrastructure, along with proficiency in Python and Node.js.
Key Responsibilities:
Software Infrastructure Design: Design, build, and maintain scalable automation infrastructure and frameworks to ensure consistency and reliability on various systems.
Tool and Library Development: Develop libraries and tools to simplify the creation and management of end-to-end automation, enabling efficiency and ease of use.
CI/CD Integration: Integrate and optimize automation frameworks within CI/CD pipelines to streamline deployment and operational workflows.
Feature Ownership: Take ownership of new features and products from design to production, ensuring high-quality, reliable releases.
Cross-Team Collaboration: Collaborate with cross-functional engineering teams to gather insights and requirements, driving continuous improvement of automation tools and frameworks.
Documentation and Knowledge Sharing: Document best practices and usage guidelines for libraries and tools to promote effective adoption and knowledge sharing across teams.
Technology Evaluation: Continuously research, evaluate, and implement new technologies to maximize development efficiency and innovation.

At UVeye, we're on a mission to redefine vehicle safety and reliability on a global scale. Founded in 2016, we have pioneered the world's first fully automated suite of vehicle inspection systems. At the heart of this innovation lies our advanced AI-driven technology, representing the pinnacle of machine learning, GenAI, and computer vision within the automotive sector. With close to $400M in funding and strategic partnerships with industry giants such as Amazon, General Motors, Volvo, and CarMax, UVeye stands at the forefront of automotive technological advancement. Our growing global team of over 200 employees is committed to creating a workplace that celebrates diversity and encourages teamwork. Our drive for innovation and pursuit of excellence are deeply embedded in our vibrant company culture, ensuring that each individual's efforts are recognized and valued as we unite to build a safer automotive world.
We are seeking a highly motivated and skilled Release Engineer to join our AIOps group. In this role, you'll play a critical part in bridging the gap between development and operations, ensuring the seamless qualification, deployment, and monitoring of our AI algorithms and infrastructure, and be responsible for the end-to-end operationalization of our core technology.
A day in the life and how you’ll make an impact:
* Manage the end-to-end release process of machine learning algorithms and infrastructure components, from qualification through deployment.
* Validate and test new algorithm releases to ensure they meet performance, stability, and compliance standards.
* Create and execute deployment plans across various environments (staging, production), ensuring minimal risk and downtime.
* Collaborate closely with AI researchers, MLOps, and software engineers to understand release requirements, share feedback, and resolve pre-release issues.
* Identify and drive automation opportunities within the release pipeline to improve efficiency, reliability, and traceability.
* Oversee updates to infrastructure components, ensuring compatibility and performance across systems.
* Monitor deployments, proactively identify issues related to model behavior or infrastructure anomalies, and drive resolution with relevant teams.
* Maintain clear and accurate release documentation, including version history, deployment notes, and incident reports.

We are seeking a highly motivated and skilled Release Engineer to join our AIOps group.

In this role, you'll play a critical part in bridging the gap between development and operations, ensuring the seamless qualification, deployment, and monitoring of our AI algorithms and infrastructure, and be responsible for the end-to-end operationalization of our core technology.

A day in the life and how youll make an impact:
Manage the end-to-end release process of machine learning algorithms and infrastructure components, from qualification through deployment.
Validate and test new algorithm releases to ensure they meet performance, stability, and compliance standards.
Create and execute deployment plans across various environments (staging, production), ensuring minimal risk and downtime.
Collaborate closely with AI researchers, MLOps, and software engineers to understand release requirements, share feedback, and resolve pre-release issues.
Identify and drive automation opportunities within the release pipeline to improve efficiency, reliability, and traceability.
Oversee updates to infrastructure components, ensuring compatibility and performance across systems.
Monitor deployments, proactively identify issues related to model behavior or infrastructure anomalies, and drive resolution with relevant teams.
Maintain clear and accurate release documentation, including version history, deployment notes, and incident reports.

Were looking for a Senior Software Engineer to join our growing R&D team. In this role, you will play a critical part in designing, building, and optimizing complex systems that power our AI-driven platform. Youll work across the stack- primarily on backend services - with opportunities to influence architectural decisions and build highly scalable and performant systems. Youll collaborate closely with AI, product, and frontend teams to bring advanced features to life and ensure a seamless, intelligent experience for our users.

This is a high-impact role for someone who is passionate about engineering excellence, eager to shape systems end-to-end, and ready to grow with a fast-moving, AI-first company.



Key Responsibilities:

Design, develop, and maintain robust backend systems and services.
Ensure the scalability, performance, and security of backend components.
Collaborate with front-end developers and data teams to integrate user-facing elements with server-side logic.
Optimize the platform's infrastructure to handle large-scale data processing and analysis.
Troubleshoot and debug complex issues, identifying and implementing the most effective solutions.
Contribute to the architecture and system design decisions for the backend infrastructure.
Stay up to date with industry trends and new technologies to continuously improve backend performance.

We are looking for a Senior DevOps Engineer to join our R&D team in developing the next rising product in the health tech landscape. If you are looking for a challenging, influential position and are passionate about making an impact, this might be the role for you.
As a Senior DevOps Engineer , youll play a key role in the design, development, testing, deployment, and monitoring of our infrastructure and products. In this position, you'll make significant contributions to our observability stack, helping build and maintain robust systems for logs, metrics, traces, and alerting.
Our ideal candidate is passionate about DevOps and observability, has strong communication skills, and thrives on constant improvement for both technology and processes. If you enjoy working on multiple projects in parallel and are a proactive team player, youll fit right in.
This is a unique opportunity to join the core team of a fast-growing startup, where your contributions will have a direct impact on our product and success.
Responsibilities:
Support and collaborate with cross-functional engineering teams using cutting-edge technologies.
Contribute to the design, implementation, and maintenance of monitoring, logging, and alerting systems (e.g., Prometheus, Grafana, Loki)
Secure, scale, and manage our cloud environments (AWS and GCP)
Design and implement automation solutions for both development and production
Manage and improve our CI/CD pipelines for fast and safe delivery
Lead best practices in infrastructure, observability, configuration management, and system hardening
Continuously assess and improve existing infrastructure in line with industry standards

Were looking for an experienced infrastructure developer to join our QA Automation team. Youll be a key player in building an innovative automation platform for our SaaS product, ensuring our engineering quality reaches new heights.

You will focus on building, maintaining, and enhancing the infrastructure that supports test automation across both backend and frontend. You will be responsible for creating and optimizing tools, frameworks, and pipelines that enable the development and execution of automated tests. This position requires a strong technical background in automation infrastructure, CI/CD integration, and cloud technologies.

Responsibilities


Design, build, and maintain automation infrastructure that supports automated test execution for UI, API, integration tests and more.
Work closely with developers and QA teams to integrate automation tools into the CI/CD pipeline, ensuring automated tests run efficiently and reliably.
Manage the underlying infrastructure, including Docker, and cloud-based services, to ensure smooth operation of the test automation framework.
Create and optimize tools and scripts that facilitate the development and execution of automated tests (e.g., integrating with GitHub Actions, Jenkins, etc.).
Continuously monitor the performance of the test infrastructure, troubleshoot issues, and optimize the environment for speed and scalability
Promote and implement best practices for building and maintaining automation infrastructure, ensuring high standards for reliability and maintainability
Partner with DevOps, developers, and product managers to define automation strategies and enhance software quality.

Were looking for a Senior DevOps Engineer to join our newly formed Foundations Teama small, high-impact group responsible for the infrastructure, tools, and shared services that power our entire R&D organization.
In this role, youll design, build, and evolve internal platform infrastructure, CI/CD systems, and developer enablement tooling. Your mission is to empower developers across the company to work autonomously, by creating self-service tools, automation, and clear standards that reduce friction and increase reliability.
Youll collaborate closely with engineers across disciplines and partner with the Foundations Team Lead to shape DevOps practices that scale. This is a hands-on role for someone who thrives in high-velocity, mission-critical environments and is passionate about building tools that make developers faster, more productive, and confident in running their own services.
What Youll Do
Design and maintain scalable, developer-friendly CI/CD pipelines and deployment workflows.
Build self-service tooling and automation that enables teams to manage deployments, environments, secrets, and observability independently
Be responsible for cloud infrastructure and operations foundations
Implement and promote best practices for monitoring, logging, and alerting across services.
Operate and optimize Kubernetes-based production environments, ensuring performance, security, and stability.
Manage infrastructure using Infrastructure as Code (IaC) and ensure repeatability and traceability through tools like Terraform.
Collaborate with R&D teams to support onboarding to internal tooling and promote a culture of enablement over dependency.
Monitor cloud cost, ensuring our cloud operates efficiently.

Realize your potential by joining the leading performance-driven advertising company!
As a Staff MLOps Engineer on the Infra group, youll play a vital role in develop, enhance and maintain highly scalable Machine-Learning infrastructures and tools.
About Algo platform:
The objective of the algo platform group is to own the existing algo platform (including health, stability, productivity and enablement), to facilitate and be involved in new platform experimentation within the algo craft and lead the platformization of the parts which should graduate into production scale. This includes support of ongoing ML projects while ensuring smooth operations and infrastructure reliability, owning a full set of capabilities, design and planning, implementation and production care.
The group has deep ties with both the algo craft as well as the infra group. The group reports to the infra department and has a dotted line reporting to the algo craft leadership.
The group serves as the professional authority when it comes to ML engineering and ML ops, serves as a focal point in a multidisciplinary team of algorithm researchers, product managers, and engineers and works with the most senior talent within the algo craft in order to achieve ML excellence.
How youll make an impact:
As a Staff MLOps Engineer Engineer, youll bring value by:
Develop, enhance and maintain highly scalable Machine-Learning infrastructures and tools, including CI/CD, monitoring and alerting and more
Have end to end ownership: Design, develop, deploy, measure and maintain our machine learning platform, ensuring high availability, high scalability and efficient resource utilization
Identify and evaluate new technologies to improve performance, maintainability, and reliability of our machine learning systems
Work in tandem with the engineering-focused and algorithm-focused teams in order to improve our platform and optimize performance
Optimize machine learning systems to scale and utilize modern compute environments (e.g. distributed clusters, CPU and GPU) and continuously seek potential optimization opportunities.
Build and maintain tools for automation, deployment, monitoring, and operations.
Troubleshoot issues in our development, production and test environments
Influence directly on the way billions of people discover the internet.