דרושים » הנדסה » DevOps Engineer

We are looking for DevOps Engineers to join our technical teams in Sofia, Bulgaria and Haifa, Israel.
By joining you become part of a team tackling numerous different architectures and customer deployments from various industry sectors. Due to the volume and diversity of the jobs responsibilities, we can guarantee that you will not be stuck on doing the same tasks over and over again.
If you are a skilled, ambitious, and proactive individual who is looking to greatly expand your personal knowledge while making a real difference, then we want you to apply and join our team of cloud superstars.
Key Responsibilities:
Design and Implement Cloud Solutions:
Architect and deploy secure and scalable cloud infrastructure on Google Cloud Platform (GCP).
Design custom cloud solutions that integrate with various systems and technologies.
Client Consultation and Collaboration:
Work closely with clients to understand their business needs and technical requirements.
Provide expert guidance on GCP best practices and recommendations.
Cross-Platform Knowledge:
Utilise knowledge of AWS, Azure in addition to GCP for designing interoperable solutions.
Ability to navigate and integrate solutions across different cloud platforms.
Project Management:
Lead and manage cloud-related projects from conception to completion.
Collaborate with cross-functional teams for successful project execution.
Technical Leadership:
Stay updated with the latest cloud technologies and trends.
Guide and mentor junior team members in cloud technologies.
Pre-Sales Involvement (Plus):
Assist in pre-sales activities, including solution presentations and demonstrations.
Help in preparing technical proposals and cost estimates.

we are looking for a Performance Engineer to join our growing team!
This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence.
"our company's data management vision is the future of the market."- Forbes
we are the data platform company for the AI era. We are building the enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets and make them available for real-time data analysis and AI training and inference. Designed from the ground up to make AI simple to deploy and manage, our company takes the cost and complexity out of deploying enterprise and AI infrastructure across data center, edge, and cloud.
Our success has been built through intense innovation, a customer-first mentality and a team of fearless company ronauts who leverage their skills & experiences to make real market impact. This is an opportunity to be a key contributor at a pivotal time in our companys growth and at a pivotal point in computing history.

we are looking for a Performance Engineer to join our growing team!
This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence.
"our company's data management vision is the future of the market."- Forbes
we are the data platform company for the AI era. We are building the enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets and make them available for real-time data analysis and AI training and inference. Designed from the ground up to make AI simple to deploy and manage, our company takes the cost and complexity out of deploying enterprise and AI infrastructure across data center, edge, and cloud.
Our success has been built through intense innovation, a customer-first mentality and a team of fearless company ronauts who leverage their skills & experiences to make real market impact. This is an opportunity to be a key contributor at a pivotal time in our companys growth and at a pivotal point in computing history.

We seek a highly skilled and experienced Solution Architect with a deep understanding of DevOps principles and practices to join our team.
In this role, you will be responsible for designing and implementing robust and scalable solutions that enable our customers to streamline their software development and deployment processes.
You will work closely with clients to understand their needs, translate them into technical requirements, and architect efficient, reliable, and secure DevOps pipelines.
Key Responsibilities:
Collaborate with clients to gather requirements and understand their
DevOps challenges.
Design and implement end-to-end DevOps solutions, including CI/CD
pipelines, infrastructure as code, and configuration management.
Leverage cloud technologies and best practices to architect scalable
and cost-effective DevOps architectures.
Automate deployment, testing, and monitoring processes to improve
efficiency and reduce manual effort.
Ensure system reliability, performance, and security throughout the
software development lifecycle.
Stay up-to-date with the latest DevOps trends and technologies.

We're seeking an exceptional Software Engineer to join our GenAI infrastructure team supporting Annapurna Labs' development teams. What makes this role unique is your direct impact on AI-powered innovation - you'll be building intelligent systems that drive the development of next-generation cloud technologies.
You'll work at the fascinating intersection of GenAI and cloud platform development, implementing automation solutions that directly enhance the productivity of our engineers. Unlike typical roles, you'll have the opportunity to influence both AI implementation and core architecture while collaborating with cloud technology experts.
The position offers rare exposure to latest cloud computing technology combined with the latest advances in artificial intelligence. You'll be part of a team that values technical excellence, working in an environment where your ideas can quickly transform from concept to reality.
In this role you will create solutions that directly shape the way we work. You'll develop smart automation systems, implement AI-driven tools and workflows and be part of AI transformation.

Key job responsibilities:
* Architect and deploy AI-powered solutions and AWS cloud services that transform development workflows.
* Lead technical innovation by driving architectural decisions and GenAI technology adoption.
* Champion AI transformation across engineering teams through education and hands-on implementation.
* Partner with elite cloud teams to identify opportunities and deliver advanced solutions.
* Ensure system excellence through participation in on-call rotations and reliability initiatives.

We are looking for a Senior Software Engineer with experience in networking and software, to join the networking SW group. We are looking for a candidate with the ability to thrive in an environment with complex software and hardware designs, who can take ownership, and lead the development of key SW components for our network cards.

You will take part in developing, integrating, and deploying networking technologies, starting from the identification and definition of project requirements, feature development, deployment and operational support, on a very large scale.
As part of your role you will join a team of engineers who are developing software implementing AWS RDMA technology, for Machine Learning and High Performance Computing (HPC) customers.
Your code will run on millions of servers worldwide, as part of the Nitro system. Not many software engineers in the world have the opportunity to create code that runs at such a large scale.
The role includes working closely with HW, FW, and SW teams all over the world.

our company, Huaweis Tel Aviv Research and Innovation Center, is looking for an experienced hands-on software architect with expertise in Cloud, AI, and Distributed Systems to join our AI-accelerated Cloud Storage group. The team designs and develops cutting-edge cloud technologies that power next-generation AI applications, optimizing performance, scalability, and efficiency.
The role involves both high-level system understanding and low-level grasp of the connection between storage and AI, to push the boundaries of cloud infrastructure for AI workloads. If you want to be part of something bigger, if you are a team player with excellent communication skills and the motivation to revolutionize AI-driven cloud technologies, youre welcome on board!
What Will You Be Doing?
Research, design, and innovate cloud-based AI acceleration technologies
Analyze AI application performance, identify bottlenecks, and optimize decision-making mechanisms
Collaborate with other engineers to develop AI optimizations, Storage backend and related POCs.
Investigate global trends in AI infrastructure and cloud computing to shape long-term architecture
Collaborate with global teams on next-generation cloud solutions for AI.

Our Autonomous Driving software group in Haifa is looking for a Linux kernel developer who will be responsible for developing embedded SW products.
This is an exciting opportunity to work with highly talented engineers and be a part of product innovation on cutting edge technologies.
What will your job look like?
Researching, designing, and implementing new SW drivers and Operating System features, as well as, maintaining, and enhancing existing ones.
You will also be responsible for integrating the SW solutions in our Embedded automotive platforms including the necessary HW bring-up, debug and unit testing to achieve proper operation of the new SW and HW together.

We seek a highly skilled and experienced Solution Architect with a deep understanding of Data and operations to join our team. In this role, you will be responsible for designing and implementing data-centric solutions that enable our customers to achieve their business objectives, with a strong focus on building efficient and reliable ETL pipelines.
You will work closely with clients to understand their needs, translate them into technical requirements, and architect scalable, reliable, and secure data pipelines.
Key Responsibilities:
Collaborate with clients to gather requirements and understand their data
challenges.
Design and implement end-to-end DataOps solutions, including data
ingestion, processing, storage, and analysis.
Leverage cloud technologies and best practices to architect scalable and
cost-effective data architectures.
Ensure data quality, integrity, and security throughout the data lifecycle.
Automate data pipelines and workflows to improve efficiency and reduce
manual effort.
Stay up-to-date with the latest DataOps trends and technologies.
Provide technical guidance and mentorship to other team members.

Our team at the Huawei Computing Network Innovation Lab is looking for exceptional talent to join us and lead the development of next generation data centers. We create cutting-edge technologies that synergize software and hardware in tandem to accelerate compute, storage and networking at large-scale. We aim to drive innovations and deliver software defined infrastructure and algorithms to HPC, AI/ML, and Big Data applications.
We are looking for outstanding candidates with hands-on experience in development and optimization of AI frameworks. If you are a team player with excellent communication skills and motivation to revolutionize application performance, youre welcome on board!
What will you be doing?
Work as part of an innovative research team to analyze, develop, test and deploy improvements that enhance Huaweis distributed AI framework.
Develop optimizations that leverage hardware accelerator capabilities, minimize communication overhead and improve training/inference throughput
Push the boundaries of the state of the art in LLM performance and efficiency, including model compression and quantization
Analyze, profile and optimize the latest LLM AI algorithms, and implement as production-quality software libraries for latency-critical use-cases on next-generation hardware.
Work in a distributed computing environment to optimize for both scale-up (multi-device) and scale-out (multi-node) systems
Utilize advanced concepts such as Uncertainty Quantification, Mixed Precision Computing and Model Sparsity to improve performance and enable training of very large AI models
Collaborate with partners from top universities, and open-source communities to conduct state-of-the-art research.