דרושים » תוכנה » IT Devops Engineer

we are powering the world's most advanced ai factories. keeping them running depends on our ai ops platform for large-scale ai infrastructure - continuously ingesting telemetry from gpus, nics, switches, and links across the fleet, and delivered both as a high-scale saas service and as self-contained on-premises software for enterprise customers.
we are looking for a senior software engineer to help make this platform deployable, operable, and scalable across customer-controlled environments ranging from a single node to tens of thousands of gpus. this role sits at the intersection of platform software and runtime reality: packaging, configuration, deployment automation, upgrades, survivability, and large-scale operational correctness.
what you'll be doing:
build the deployment platform underneath the product: packaging, configuration, environment validation, upgrade paths, rollback flows, and runtime safeguards.
own deployability across kubernetes, cloud, on-prem, and restricted or air-gapped environments.
design and improve the mechanisms that make the system installable and supportable at scale: helm charts, deployment manifests, configuration schemas, dependency validation, readiness checks, and operational tooling.
partner with backend and feature teams to ensure services are production-ready on day 1 and still correct on day 400.
improve platform resilience: design for partial failure, misconfiguration, restarts, state loss, and degraded environments.
turn scale and benchmark findings into concrete deployment guidance, sizing recommendations, and supported topologies.
help evolve the platform from legacy deployment models toward a modern kubernetes-based operational model.

we are seeking a talented and driven senior software Verification engineer to join our innovative team and tackle sw verification challenges in the domains of high-speed networking, virtualization, and security. you will play a key role in validating and testing complex software products that support ethernet and infiniband protocols, delivering advanced networking, Storage, and security services for cloud, compute, and ai workloads.
what you'll be doing:
develop and automate testing: design, implement, and maintain automated TEST scripts and frameworks (primarily in Python ) to verify the correct functionality of our software products.
end-to-end feature ownership: deep dive into feature sets, taking responsibility from TEST planning through to final implementation and full automation.
system & integration validation: validate software functionality and performance through system -level and integration testing, utilizing Linux -based environments and virtualization tools.
TEST environment management: set up, maintain, and optimize TEST environments using Linux, docker, virtual machines, and other modern tools.
collaboration & communication: work closely with software, DevOps, architecture, and product teams to define TEST requirements, coordinate releases, and ensure high-quality product delivery.
continuous improvement: drive design verification flows, contribute to methodology improvements, and leverage planning/tracking systems to manage release progress and build release indicators.
defect analysis: analyze TEST results, file defects, and track issues to closure, ensuring robust and scalable solutions.
 
we are committed to fostering a diverse work environment and proud to be an equal opportunity employer. as we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

As a Senior Cloud Consultant, you will help customers build enterprise applications and capabilities around cloud technologies to streamline development and allow for continuous feature release of applications.


If you have hands-on devops and Linux experience and are prepared to work from customer sites we'd love to hear from you!


What you will do

Serve as a subject matter expert at the customer site, addressing technical, development, or strategic IT requirements
Understand industry practices and policies, procedures, and values
Demonstrate good judgment in selecting best methods to obtain solutions
Implement and integrate open and hybrid cloud solutions including Red Hat OpenShift, Ansible Automation Platform and other Red Hat's offerings
Collaborate with project and customer team members to meet timelines and goals
Contribute to project documentation and diagrams and support cases management
Mentor and share your knowledge with customers and the team
Define and promote the adoption of automation techniques and DevOps processes to improve the cloud life cycle, including infrastructure and application uptime, availability, and time-to-market
Implement solutions using cloud technologies, design principles, integration points, and automation methods

we have been transforming computer graphics, pc gaming, and accelerated computing for more than 25 years. it's a unique legacy of innovation that's fueled by great technology-and amazing people. we are now seeking a highly motivated infrastructure, tools & ai engineering manager to join our ethernet switching group, working on sonic network os. in this role, you will own and drive the engineering infrastructure that powers the full product development lifecycle - from development environments and ci pipelines through regression, code coverage, and TEST efficiency. you will apply cutting-edge ai and llm capabilities to transform how we analyze failures, generate TEST coverage, and accelerate product quality.
what you'll be doing:
lead and mentor a team of infrastructure and tooling engineers; set technical direction, define priorities, and grow team capabilities
design, build, and maintain scalable infrastructure for development, integration, and TEST environments supporting sonic os.
architect and deliver llm-based tools for intelligent regression analysis - failure classification, root cause clustering, anomaly detection, and TEST flakiness prediction
lead efforts to reduce regression runtime through parallelization, smart TEST selection, and dependency-aware scheduling
develop deep technical knowledge of sonic network os internals, including its subsystem architecture, sai/asic abstraction layer, and management plane

we are looking for a senior software system architect to join the team shaping networking management systems, aiops platforms, and applied ai solutions for ai cluster operations. you will work with customers, internal operational teams, fellow architects, product, and engineering teams to translate sophisticated operational challenges into clear requirements and scalable architectures, and carry these capabilities through implementation and delivery into products that deliver measurable value for customers.
we seek someone with deep technical judgment, a broad system perspective, and the persistence to move ideas into production-someone who asks sharp questions, catches consequential details, and builds alignment across teams.
what you'll be doing:
define architectures for management and intelligent automation capabilities spanning telemetry, observability, remediation, and operational automation.
engage customers, cluster operations teams, and compute authorities to understand their challenges and architect solutions that improve operational efficiency, reliability, and scalability.
partner with product and engineering to translate architectural recommendations into prioritized features and drive their inclusion in the plan of record (por), defining requirements, dependencies, and success criteria.
resolve system tradeoffs across hardware, firmware, software, and data platforms, with attention to scale, reliability, performance, and usability.
guide design decisions through implementation, with hands-on development of targeted proofs of concept (pocs) and technical investigations as needed to validate critical assumptions.
offer strategic direction and system -level leadership throughout teams, guiding engineering choices and promoting sophisticated, ai-centered operating practices.

what if your Python automation caught a critical asic bug before the physical silicon was even manufactured? our simulation platforms make that happen every release cycle! we are the system ethernet QA team at our r&d center, responsible for the testing and qualification of virtual networking silicon (simx) and software-from l2 forwarding and l3 routing to overlays, qos, and security. with simx, developers and QA engineers get hardware-free, early access to the asic for better debugging.
we are looking for a senior QA software engineer who combines network protocol expertise with strong Python automation skills. does debugging a bgp evpn route leak excite you as much as refactoring a TEST framework? then we should talk!
what you'll be doing:
we don't just complete checklists; we collaborate closely with r&d to lead the quality of new features from design to deployment. in this role, we:
review architectural designs and requirements for new features introduced to the product
drive the design, development, and execution of tests across functional, performance, and security scopes as part of sw ga and update releases
develop Python automation suites built on clean oop principles
chase down defects and validate fixes until we fully resolve the root cause
leverage the simx platform to validate code and debug the asic long before hardware arrives

we are looking for a senior software engineer to join our team developing the core technologies behind our smartnic platform. your work will directly impact next-generation ai infrastructure, cloud networking, and high-performance data centers used by customers around the world.
as part of the team, you will contribute to the doca sdk (our doca software framework), enabling developers to build hardware-accelerated, cloud-native networking and security applications. you will also collaborate on the Linux foundation's dpdk project, helping deliver industry-leading packet processing performance and scalable networking solutions.
what you'll be doing:
architect, design, and develop next-generation networking acceleration technologies.
build and enhance core software components within the doca sdk.
work closely with architects, customers, and engineering teams to understand requirements and deliver scalable, high-performance solutions.
collaborate across the software stack, including applications, virtualization, drivers, Linux Kernel, firmware, and hardware teams.
drive technical decisions and contribute to the design of performant, maintainable software.

we have been defining computer graphics, pc gaming, and accelerated computing for more than 25 years. with an outstanding legacy of innovation, driven by phenomenal technology and extraordinary people, we are looking for a distinguished engineer to help shape the future of ai infrastructure. as part of our advanced development and research efforts, you will drive technical vision and innovation across the ai software stack, spanning gpu computing, rdma, nvlink, Storage, and large-scale distributed systems. you will research next-generation system designs, influence product and platform direction, and help define how massive-scale ai environments are built, optimized, and operated through hardware-software co-design.
what you'll be doing:
research, define, and drive co-design solutions across ai software stacks involving gpu computing, rdma networking, nvlink interconnects, Storage, and large-scale distributed infrastructure
lead deep technical investigations and proof-of-concept development in areas related to distributed ai, deep learning systems, high-performance computing, virtualization, memory management, and large-scale systems design
work closely with multiple teams across the company to advance next-generation ai infrastructure technologies and influence cross-stack co-design decisions
analyze end-to-end system bottlenecks and opportunities across compute, networking, memory, and Storage layers to improve performance, scalability, and efficiency
guide the design of environments that support massive-scale ai training and inference workloads in production
 we want to hear from you!
we are committed to fostering a diverse work environment and proud to be an equal opportunity employer. as we highly value diversity in our current and future employees, we do not discriminate, including in our hiring and promotion practices, on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law.

We are seeking a senior ATE Software Engineer to design, build, and deploy our next-generation automated manufacturing test platform for advanced telecom, high-density switching, and optical networking hardware.
In this role, you will bridge the gap between R&D hardware/firmware teams and high-volume manufacturing lines. You will take ownership of ingesting, refactoring, and consolidating disparate R&D scripts, diagnostic tools, and legacy software into a single, scalable, production-grade test platform.
We expect you to leverage modern AI-assisted development tools and workflows to maximize engineering efficiency, accelerate delivery timelines, and build highly robust, self-healing test automation. You will deploy test stations across global Contract Manufacturers (EMS/ODM), actively stabilize production lines through bring-up and ramp-up, and drive continuous test maintenance and root-cause failure analysis (RCA).
Key Responsibilities
Test Platform Architecture & Software Development:
Design, develop, and productize robust, modular test software frameworks for board-level (PCBA) and system-level manufacturing testing across multiple product lines and manufacturing sites.
Codebase Unification & Refactoring:
Consolidate and standardize R&D diagnostic libraries, silicon validation scripts, and firmware tools developed across various environments (Python, C# / Visual Studio, VB, ATEasy, Linux) into a unified, maintainable test execution engine.
AI-Accelerated Development & Workflow Automation:
Actively integrate Generative AI tools and AI coding agents into your daily workflow to accelerate code conversion/refactoring, automate test case synthesis, generate edge-case validation scripts, and enhance overall codebase resilience.
Production Line Deployment & Stabilization:
Deploy test stations and fixtures to local and overseas EMS/CM production lines. Monitor, debug, and fine-tune test execution during NPI and ramp-up phases until yield, takt time, and test stability targets (CPK / First Pass Yield) are achieved.
Failure Investigation & Intelligent RCA:
Investigate complex system-level and component-level test failures. Utilize advanced log analysis, structured telemetry, and pattern recognition to drive root-cause investigations and implement preventive software/hardware fixes.
Ongoing Test Maintenance & Optimization:
Provide continuous operational Production line support and maintenance, bug fixes, software updates, and station cycle-time optimizations for active mass-production lines.
R&D Collaboration & Test Specification:
Collaborate closely with Hardware, Firmware, and Validation teams during early design phases to define test specifications, drive Design for Testability,
Documentation & Technical Reporting:
Author and maintain comprehensive testing documentation, Standard Operating Procedures (SOPs), test coverage matrices, and detailed failure analysis reports.