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operate openshift clusters and support production deployments (upgrades, scaling, probes, autoscaling, rollouts).
manage platform integrations: routes/ingress, networking/dns, Storage, scheduling.
build and optimize gitlab ci/cd pipelines (buildtestdeploypromote; caching, parallelism, reliability).
operate and tune gitlab runners for performance and peak scale.
own vault secrets management for ci/cd and runtime (access + rotation).
improve observability and incident response (dashboards, alerts, runbooks).
enable developers with deployment standards, docs, and troubleshooting support.

our company is looking for a passionate firmware engineer to join our nic firmware core team. you will be joining a team whose primary mission is to work on innovative networking adapters technologies and take the success of the current and next our networking devices to the next level using a wide range of platforms - C layer between hw and fw, C ++ oop verification environment and automation challenges.
what youll be doing:
take part in the design, development, testing, debugging, and optimization of many angles of the network adapters' core features
collaborate with chip design, software, and architecture teams to define and craft legacy and new firmware flows
improve our team methodologies

as a senior team member, you will be part of a development effort of high-performing software automation systems fordata  center environments. you will interact with nic, os, switch, hca, cpu and gpu compute as well as architects, network engineers, and developers. we drive the data growth of the worlds biggest companies. with talented engineers around the globe, the work environment is dynamic, meaningful, and fast-paced. are you ready for the challenge?
what youll be doing:
design and develop an automation platform used to provision, configure, and monitor hpc data centers.
implement scalable, reliable, and maintainable services that enhance cluster visibility and improve operational efficiency.
collaborate closely with internal and external stakeholders to understand requirements and deliver robust full-cycle solutions.
improve stability and performance across the provisioning pipeline through architectural enhancements and code optimizations.
troubleshoot issues in distributed environments and contribute to system observability and reliability improvements.
work cross-functionally with architects, DevOps engineers, product managers and stakeholders to ensure high-quality releases.
participate in code reviews, technical design discussions, and continuous improvement activities within the team.

We are looking for a Senior Software Engineer to join NSV tools (Network Solutions Validation) group. As a senior team member, you will be part of a development effort of high-performing software automation systems for our Data Center environments. You will interact with NIC, OS, Switch, HCA, CPU and GPU compute as well as architects, network engineers, and developers. We drive the data growth of the worlds biggest companies. With talented engineers around the globe, the work environment is dynamic, meaningful, and fast-paced. Are you ready for the challenge?

What youll be doing:

Design and develop an automation platform used to provision, configure, and monitor HPC data centers.

Implement scalable, reliable, and maintainable services that enhance cluster visibility and improve operational efficiency.

Collaborate closely with internal and external stakeholders to understand requirements and deliver robust full-cycle solutions.

Improve stability and performance across the provisioning pipeline through architectural enhancements and code optimizations.

Troubleshoot issues in distributed environments and contribute to system observability and reliability improvements.

Work cross-functionally with architects, DevOps engineers, product managers and stakeholders to ensure high-quality releases.

Participate in code reviews, technical design discussions, and continuous improvement activities within the team.

We are looking for an expert Data Engineer to build and evolve the data backbone for our R&D telemetry and performance analytics ecosystem. Responsibilities include processing raw, large quantities of data from live systems at the cluster level: hardware, communication units, software, and efficiency indicators. Youll be part of a fast paced R&D organization, where system behavior, schemas, and requirements evolve constantly. Your mission is to develop flexible, reliable, and scalable data handling pipelines that can adapt to rapid change and deliver clean, trusted data for engineers and researchers.

What youll be doing:

Build flexible data ingestion and transformation frameworks that can easily handle evolving schemas and changing data contracts.

Develop and maintain ETL/ELT workflows for refining, enriching, and classifying raw data into analytics-ready form.

Collaborate with R&D, hardware, DevOps, ML engineers, data scientists and performance analysts to ensure accurate data collection from embedded systems, firmware, and performance tools.

Automate schema detection, versioning, and validation to ensure smooth evolution of data structures over time.

Maintain data quality and reliability standards, including tagging, metadata management, and lineage tracking.

Enable self-service analytics by providing curated datasets, APIs, and Databricks notebooks.

We are looking for a QA Manager to own a new testing domain, which enables our products to meet the industry leading benchmarks of efficiency and quality. The ideal candidate will able to learn new features, execute manual/automated tests and be technical expert to the team

What youll be doing:

Lead the QA team from the planning stage through execution up to GA release, with the highest quality for the products.

Collaborate with peer engineering teams, and program/product management to ensure that product requirements, goals and objectives are met or exceeded.

Lead and implement analysis, debugging tracking flows with accordance to QA and SW methodologies.

Review the teams test-plans for the product coverage and strive for full automation.

Report bugs found during execution, assist with reproduction and debugs to understand root cause, verify bug fixes provided by R&D team.

Mentor and guide the professional and technical development of the team members.

Review and identify improvement opportunities in established processes, infrastructure, and practices to ensure the teams are performing in the most efficient way.