דרושים » תוכנה » Software Infrastructure Developer

Required Software Developer
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 seeking a highly skilled and motivated Senior DevOps Engineer to join our team. In this role, you will design, implement, and maintain scalable, reliable, and secure infrastructure while enabling development teams to deliver software efficiently. You will be responsible for driving best practices in automation, CI/CD, cloud operations, observability, and infrastructure as code, while mentoring team members and collaborating with cross-functional stakeholders.

Responsibilities

Design, build, and maintain scalable cloud infrastructure (AWS, GCP).
Implement Infrastructure as Code (IaC) using tools like Terraform, Helm.
Manage and optimize Kubernetes clusters and containerized workloads.
Ensure system reliability, scalability, and security across production and non-production environments.
Improve monitoring, logging, and alerting systems for proactive issue detection and resolution.
Develop and optimize CI/CD pipelines to improve software delivery speed and reliability.
Collaborate closely with developers, operations, and product teams.
Participate in on-call rotations and incident response, driving postmortems and improvements.
Mentor engineers and contribute to building a strong DevOps culture.
Continuously evaluate and adopt new tools, technologies, and processes to improve infrastructure and operations.

We are looking for a Software Engineer to join our Connectivity team. You'll join a cross-functional group of engineers with a critical mission: ensuring our customers can seamlessly integrate their diverse technical environments with the platform. You will be responsible for building and maintaining the essential tools and services that form the bridge between our customers' systems and our backend, enabling them to send us their event observability effortlessly.
Responsibilities
Design, build, and enhance the core integrations and tools that our customers use to send observability data to the platform.
Partner closely with Product, Engineering, and other cross-functional teams to design and implement solutions built for massive scale, capable of processing over a billion events daily.
Take full ownership of the quality and reliability of your code through comprehensive testing (unit, integration, and end-to-end), and by creating clear, thorough documentation for fellow engineers and our customers.
Partner with customer-facing teams to diagnose and resolve complex technical issues rooted in our data ingestion integrations and libraries.
Develop and maintain 300+ core integrations primarily in Python and Go that can run across cloud and containerized systems, and contribute directly to the open-source ecosystem.
You'll love this job if you:
Thrive in a fast-paced startup environment, and value taking ownership of your work.
Passionate about helping our business and customers resolve complex technical issues across our data-ingestion pipelines, integrations, and libraries.
Care deeply about crafting elegant, user-friendly solutions for complex problems.
Enjoy building the kind of developer tools you would want to use yourself.
Believe in modern software development that values rapid iteration and continuous delivery.
Passionate about the open-source community and excited about contributing to a fully open-source integrations.
Love working with collaborative, thoughtful engineers who push to grow & improve themselves and others.
Like using modern AI tools to boost your productivity and write better code.

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.

The Backend Infrastructure Team plays a crucial role in shaping the platform's core. By seamlessly blending TypeScript and Python frameworks with self-serve operations capabilities, we support our R&D organization and ensure our platform is performant and reliable, adapting to the growing demands for our product in the digital asset space. This makes it an ideal place for those who thrive on innovation and aim to make a large-scale impact.


What You'll Do:

Creating and deploying core software infrastructure components at scale.
Maintaining and enhancing our internal Python and Typescript frameworks, tools, and platforms essential for product engineering teams throughout the software development lifecycle.
Introducing self-service deployment capabilities to empower R&D teams.
Advocating for and enforcing standards and best practices.
Leading and educating through knowledge sharing via documentation, knowledge-base articles, blogs, forums and presentations.
Addressing complex production issues and developing long-term solutions.
Contributing to the engineering and standardization of our CI/CD infrastructure.
Working closely with cross-functional teams to ensure the targeted availability, reliability, scalability, throughput and performance of our infrastructure while adhering to industry best practices and standards.

Your responsibilities also include creating and supporting reusable application components and patterns, considering both business and technology perspectives. You'll utilize developer tools and a range of AWS services for task management, source code handling, building, deployment, operations, and real-time communication. You are expected to demonstrate advanced skills in application design, implementation, and maintenance, often with minimal supervision.

Beyond technical tasks, you will mentor other engineers, sharing your knowledge and actively contributing to the enhancement of best practices and processes within and across teams.

Responsibilities:

Design, build, and maintain the scalable cloud infrastructure and CI/CD pipelines necessary to support our cutting-edge AI and optimization services.

Champion Infrastructure as Code (IaC) practices using tools like Terraform and Kubernetes to automate the deployment, scaling, and management of our production environments.

Implement robust monitoring, logging, and alerting systems to ensure the high availability, performance, and reliability of all services.

Partner with development teams to streamline the software development lifecycle, improve deployment velocity, and embed best practices for security and operational excellence.

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We are looking for a talented and motivated DevOps Engineer to join Cloud Engineering team. Youll play a key role in developing, maintaining, and scaling our SaaS product across AWS, Azure, and GCP. This includes managing our deployment packages (Terraform, CloudFormation, Azure Bicep), ensuring seamless integrations with customer environments, and enabling secure, reliable data scanning at scale.
As part of our DevOps team, youll not only drive automation and infrastructure management, but also participate in customer-facing installation meetingshelping customers deploy and configure platform successfully.
Responsibilities:
Design, develop, and maintain cloud infrastructure on AWS, Azure, and GCP.
Manage Infrastructure as Code using Terraform, CloudFormation, and Azure Bicep.
Build, scale, and maintain Kubernetes clusters and containerized applications.
Implement automation for deployment, monitoring, and incident response.
Write and maintain Python and Bash scripts for automation, integrations, and tooling.
Troubleshoot networking, connectivity, and security issues (TCP/IP, UDP, VPNs).
Collaborate with engineering and product teams to optimize deployments.
Support customer onboarding by assisting with setup and deployment meetings.
Continuously improve CI/CD pipelines and operational processes.

Were looking for a hands-on Automation Engineer to partner on improving QA processes. The initial focus is to extend our Java-based framework and test infrastructure with AI capabilities for analysis, stability, and faster feedback. This role involves learning on the fly, experimenting, and collaborating across teams to shape approaches that may evolve as we progress.

Responsibilities

Plan, design, implement, and maintain different levels of tests and the surrounding automation infrastructure.
Explore and evaluate AI-assisted approaches for test design, generation, execution and maintenance.
Collaborate cross-functionally to define coverage goals, quality signals, and release criteria; communicate progress and findings clearly.
Establish reliable validation flows within CI/CD and help create fast, actionable feedback loops for developers.
Improve observability of tests to aid debugging and decision-making.
Contribute to shared standards, code quality, documentation, and knowledge sharing across Automation efforts widely.
Note: Responsibilities reflect current focus areas and may evolve as we learn and iterate.

We are looking for an excellent highly motivated Senior SW Engineer with experience in embedded software development to join the software testing team in the Data Processing Unit (DPU) SW Group. We are looking for a candidate with the ability to thrive in an environment with complex software and hardware designs, take ownership and lead the SW testing of key components of the DPU. The role includes working closely with HW, FW, and SW teams all over the world, and take our product to next level.

What youll be doing:

Build automated verification environment for high-end hardware and software which is at the forefront of innovation.

Develop and maintain test automation frameworks and scripts using Python.

Identify, analyze, and report software defects, inconsistencies, and other quality issues.

Make better product quality by improving tests coverage.

Take an active part in development, integration and verification with R&D.

Drive improvements for performance, quality, stability around SW acceleration solutions.

Stay up to date with industry best practices, new technologies, and emerging trends in software verification.

We are seeking an experienced Software Manager to lead the Cumulus Linux Software Verification Team. In this role, you will play a critical part in advancing Cumulus Linux, a leading networking operating system and a cornerstone of the AI Factory the next-generation data center designed to power the training, fine-tuning, and deployment of AI models at scale. You will work closely with Cumulus Linux design and architecture teams while gaining deep insights into our products and technologies.

What Youll Be Doing:

Manage, mentor, and guide a team of software developers.

Oversee the design, implementation, and maintenance of scalable automation frameworks, while remaining hands-on with software development and debugging.

Drive timely, high-quality feature delivery.

Collaborate with global, cross-functional teams to identify, track, and resolve issues.

Analyze customer-reported issues, identify test gaps, and ensure robust regression coverage.

Work with continuous integration systems and regression tools.

Foster a culture of innovation, quality, ownership, and accountability.

Support team members with career development plans and achievable growth goals.