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Required OS Developer
As an OS Developer, you will:
Play a central role in advancing the features and infrastructures of one of our core products
Lead features, end-to-end, from concept and design to production
Collaborate closely with multiple teams to analyze, develop and implement new workflows and features
Troubleshoot and debug complex flows
Find and implement creative solutions to technical challenges.

We are looking for a talent Software Engineer to join our Ethernet Switch SONiC Network OS. We have amazing GPUs that power AI applications, but they also require a high-performance network to support them. As a team member, you will have the opportunity to create innovative software that optimizes AI networks for the best performance possible. In this position you will take part in SONiC large worldwide community, contributing new features, bugs fixes and have our Switch products running with SONiC NOS in production in different clusters over the world.

What you'll be doing:

Design and implement features as part of the SONiC release train on top of our Switch products.

Be part of our SONiC R&D team, contribute code to SONiC worldwide community.

Work in a Continuous Deployment environment of fast development/deployment cycles.

Work with experienced teams which are well known in the SONiC community.

We are seeking a Principal Security Researcher to set the technical direction for a critical area of our identity protection charter, drive multi-quarter research agendas end-to-end, and raise the bar of the team through mentorship and influence. You will partner with engineering, PM, data science, and other research teams across us to shape strategy, and you will represent our research externally through publications, talks, and industry engagement. We expect our Principal researchers to fluently leverage Generative AI and to actively shape how the team applies it - turning AI assistance into a durable force multiplier across investigation, detection authoring, and customer protection at our scale.

Responsibilities

Set the technical direction for a major area of our identity protection research charter, owning the multi-quarter strategy from threat landscape framing to shipped detection and measurable customer protection impact.

Drive multiple concurrent end-to-end research initiatives, breaking ambiguous problems into tractable workstreams and unblocking the team on the hardest technical questions.

Lead deep investigation and research of data across identity and adjacent sources to surface novel threats, attacker tradecraft, and detection opportunities others miss.

Stay ahead of the evolving attacker landscape and design robust, sophisticated detection logics across the entire kill-chain - raising the bar on quality, coverage, and resilience to attacker evasion.

Influence across organizational boundaries - partner with product management, engineering, data science, and peer research teams to shape product strategy, define new identity protection capabilities, and align roadmaps on a data-driven foundation.

Mentor and grow other researchers (IC3-IC4), elevating the technical bar of the team through code/design review, research coaching, and apprenticeship on complex investigations.

Shape how the team and discipline leverage Generative AI - define patterns, evaluate tools, and build durable AI-assisted workflows that scale research throughput across data triage, hypothesis generation, code and KQL authoring, and detection synthesis.

Represent our Security externally through high-quality research publications, conference talks, blog posts, and engagement with the broader security research community.

At Infinidat, a Lenovo company, we empower enterprises and service providers with cutting-edge storage platforms that redefine performance, reliability, and cyber resilience at scale. We are looking for a Tech Lead to join our System Validation & Verification team - someone who combines deep hands-on automation expertise with the leadership skills to drive technical direction, mentor engineers, and own end-to-end quality strategy for a complex, enterprise-grade distributed storage system. This role is centered on test design and development - the ideal candidate is someone whose craft is writing and owning tests for complex product features, and elevating a team to do the same at a high level. If you thrive at the intersection of architecture, code, and quality - and get energized by the challenge of making large-scale systems provably correct - this role is for you.

Responsibilities:

* Lead the technical direction of the automation group: define best practices, set coding standards, and guide architectural decisions for testing methodologies and new feature implementations
* Remain hands-on: actively write, review, and contribute to test code alongside the team, leading by example rather than by title
* Design detailed test plans for new features, and review and approve implementation designs proposed by team members for how those features will be tested
* Engage with R&D and Product from the earliest stages of feature development, providing input on testability, edge cases, and quality requirements before implementation begins
* Design and own test strategies for large, cross-cutting features involving multiple services and components working together
* Mentor and grow team members, conducting code reviews and elevating the team's engineering quality
* Work closely with development, product, and architecture teams to influence design decisions from a quality and testability standpoint
* Drive root cause investigations of complex, hard-to-reproduce issues - race conditions, timing-sensitive failures, and problems that only surface at scale
* Own release sign-off decisions - you'll have the authority to say "not good enough"
* Identify gaps in test coverage across service boundaries and drive initiatives to close them

we are looking for a Senior Full Stack Developer.
Responsibilities:
Hands-On Full Stack development (50%-50%)
Design and implement features and end-to-end product modules
Ownership of a mission-critical component in the company
Collaboration with various stakeholders (Product, Sales, etc.)

Experienced Backend Developer? It's time for your next challenge.
Bylith's Israel Backend team. The team is responsible for the backend development of multiple SaaS web products (CRM, Commerce, Data Automation) in a highly innovative, technical, and empowering work environment.
Our products are in use by millions of users worldwide, delivering smart and intuitive web experiences that put the end-user in the center.
In this role you will design & develop a challenging high-end SaaS web products for some of the biggest operations in the world, in a great work atmosphere and with highly skilled teammates.
Responsibilities:
Design, build, and maintain efficient, reusable, and reliable code for the development of our products API, Backoffice and Backend services
Work closely with your team leader and engineering colleagues to achieve the optimal implementation

We are seeking an MLOps Engineer to help us grow our technical team's capabilities. The ideal candidate has relevant experience in data engineering, preferably within the AI field. Aviation industry experience would be a great addition.

You will be responsible for building and maintaining models and data pipelines that power our data science workflows. You'll play a crucial role in ensuring the accuracy, consistency, and efficiency of the data we use for model training and inference. This involves working with both structured and unstructured data from various sources, leveraging your expertise in data engineering and machine learning to create a robust and scalable system.

We are looking for an MLOps Team Leadto drive the development of an internal machine learning platform for a group of ML teams. This is a hands-on leadership role: you will guide a small team of MLOps engineers that builds the automation and infrastructure powering our research (R&D) workflows and runs our pipelines to production. You will take ownership of end-to-end initiatives and drive the team toward critical infrastructure and model-lifecycle milestones, while staying close enough to the code to set technical direction and raise the bar by example.

You will be responsible for building and maintaining the models and data pipelines behind our data science workflows, ensuring the accuracy, consistency, and efficiency of the data used for training and inference, working across structured and unstructured data from many sources on a large-scale, distributed platform.

Responsibilities:

Lead, mentor, and grow a team of MLOps engineers, owning delivery and technical quality.
Take end-to-end ownership of infrastructure and pipeline initiatives across the LMM group, from design through production.
Stay hands-on: contribute to design and code, review work, and set engineering standards.
Drive the team through critical milestones in ML model-lifecycle and infrastructure ownership.
Partner with R&D and other stakeholders to translate research needs into robust, scalable systems.
Help evolve the platform, including our ongoing migration from Dask to Ray.