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abra's Cloud division is seeking an AWS Sales Operation to join our team in Raanana. We are looking for an experienced operations professional who will manage onboarding and offboarding processes, handle billing operations, and provide operational support to customers in an AWS environment. Key Responsibilities:
* Support day-to-day operations and help build efficient workflows in a growing Cloud division.
* Manage sales opportunities and track activities using Salesforce and Monday.com.
* Coordinate operational processes with customers, internal teams, finance, and AWS partners, including contracts and follow-ups.
* Support AWS Partner Network activities, including partner funding programs.

As a Senior Data Infra Engineer, you'll be a key part of our data platform team, responsible for designing, building, and maintaining robust and scalable data pipelines. You'll work closely with data scientists, analysts, and server side engineers to ensure our data is reliable, accessible, and ready for analysis. Your expertise will be crucial in expanding our data warehouse and data lake capabilities, enabling us to deliver next-generation ad tech solutions.

Your mission will be to:

Develop and Optimize Data Pipelines: Design, build, and maintain ETL/ELT pipelines using Apache Spark to ingest, process, and transform large-scale datasets from various sources.
Manage Cloud Infrastructure: Architect and manage our data infrastructure primarily on Google Cloud Platform (GCP) or Amazon Web Services (AWS). This includes services like BigQuery, S3, GCS, EMR, and AirFlow.
Enhance Data Storage: Improve and manage our data warehouse and data lake solutions, ensuring data quality, consistency, and accessibility for business intelligence and machine learning applications.
Collaborate and Innovate: Partner with cross-functional teams to understand data needs and implement solutions that support new product features and business initiatives.
Ensure Data Integrity: Implement monitoring, alerting, and logging systems to maintain data pipeline health and ensure data accuracy.

We are looking for a Senior Data Scientist to join a team of passionate engineers who build premium solutions at scale. Every day, we tackle ambiguous and stimulating challenges. We build and operate large-scale distributed machine learning systems that process 1B predictions per second during real-time auctions.

What will you do?
As a Senior Data Scientist, your mission will be to:

Improve existing algorithms & tools allowing to explore and analyze more and more data and provide accurate feedback on the Teads activities.
Develop new algorithms & new approaches to provide accurate predictions and drive new products by providing business insights.
Implement your algorithms and models end to end.
Collaborate with a variety of teams to develop services from design to production.
Make sure the software is in good hands by writing, running and automating tests (unit, functional, load...).
Keep up to date with the latest Machine Learning technologies to make sure we always use the best class algorithms according to the context.
Shape how billions of people discover and enjoy premium content by improving ad relevance, quality, and efficiency across Teads global publisher network.

Join us as a Senior Software Engineer on our engineering team in Israel to do the best work of your career and make a profound social impact.

We work in an AI-native development environment, applying Spec-Driven Development (SDD) and clear engineering governance to deliver complex software with both speed and quality.



Key Responsibilities

As a Senior Software Engineer, you will:

Design, develop, and own Storage Infrastructure and Control Path features for enterprise storage expansion, from requirements and specification through implementation, testing, and long-term support

Build and maintain Python microservices using FastAPI, Pydantic, and async/await patterns

Design and implement storage infrastructure services that support system-level discovery, provisioning, and lifecycle management

Author and maintain detailed specifications as part of a Spec-Driven Development (SDD) process

Build AI agents and automated workflows, leveraging Agentic AI to accelerate development, testing, and code generation

As a Senior Software Principal Engineer, you will be responsible for developing sophisticated systems and software based on the customers business goals, needs, and general business environment, creating software solutions.

You will:

Develop end‑to‑end storage features for the Lightning product, driving technical execution from requirements through design, implementation, testing, and deployment
Architect and build AI‑driven infrastructure systems, breaking down complex initiatives, identifying dependencies and risks early, and defining software specifications with a strong security and quality focus
Set the technical bar through hands‑on development and code reviews in C++, Python, and Linux environments
Collaborate with and influence global teams, communicating technical decisions, progress, and risks clearly, while contributing actively in an Agile development environment
Establish and evolve engineering standards and best practices as the organization scales

As a Principal Software Engineer, you will:

Design, develop, and own complex software features - from requirements and design through implementation, testing, and long-term support.
Build high-performance datapath software on SPDK, integrating emerging drive, enclosure, and protocol technologies.
Own performance analysis of the storage software data path - including queueing behavior, CPU efficiency, memory usage, PCIe bottlenecks, and latency behavior.
Work closely with architecture, hardware, and software teams on HW/SW interface definition.
Experiment with and integrate emerging AI tools into the development workflow to boost productivity and innovation.

As a Principal Software Engineer, you will:

Design, develop, and own complex software features - from requirements and design through implementation, testing, and long-term support.
Build high-performance datapath software on SPDK, integrating emerging drive, enclosure, and protocol technologies.
Own performance analysis of the storage software data path - including queueing behavior, CPU efficiency, memory usage, PCIe bottlenecks, and latency behavior.
Work closely with architecture, hardware, and software teams on HW/SW interface definition.
Experiment with and integrate emerging AI tools into the development workflow to boost productivity and innovation.

As a Product Lead - Data & ML, you will be responsible for defining and delivering data-management and AI/MLOps capabilities within a data-intensive platform. You will work with cross-functional engineering, architecture, and external partner teams to drive advanced data and machine learning solutions that power enterprise-grade products.

You will:
Lead the full product lifecycle- from ideation and prioritization to design, planning, and delivery of AI/ML and data platform capabilities
Define requirements and translate complex business needs into scalable product features in collaboration with engineering and architecture teams
Drive MLOps and data platform initiatives, ensuring high-quality, production-ready solutions
Collaborate with external clients and partners to deliver best-in-class solutions and align on product vision

Take the first step towards your dream career

Every Technologies team member brings something unique to the table.

We are looking for an experienced Design Verification engineer to join our DFT team and help establish and grow DFT DV activity in the Cisco SiliconOne DFT team. This role is relevant for engineers with experience in DV roles, either in DFT DV or in other verification domains, who are interested in becoming familiar with DFT design, verification methodologies, and the challenges of validating testability features in advanced silicon.

Your Impact
Lead and drive DFT verification activities within the Cisco SiliconOne DFT team.

Develop verification plans, environments, checkers, assertions, and coverage models for DFT features.

Verify DFT architecture and implementation in close collaboration with DFT, design, architecture, and verification teams.

Work on verification of scan, MBIST, IJTAG/JTAG, test access mechanisms, DFT controllers, and related SoC-level test features.

Debug complex pre-silicon issues across RTL, verification environments, and DFT logic.

Contribute to scalable methodologies, reusable verification components, and best practices for DFT DV.

Help bridge between general DV methodologies and DFT-specific design and verification needs.

Technical Leadership: Provide authority guidance within the Splunk security domain, exhibiting deep expertise in SIEM, SOAR, and Observability integrations.

Strategic Advisory: Lead sophisticated, multi-functional security projects, acting as a trusted partner to CISO and IT leadership.

Solution Delivery: Lead the strategic planning, compose, and implementation of tailored Splunk security architectures to mitigate risk and maximize technology investments.

AI-Driven Security: Apply sophisticated AI and automation tools to optimize security operations, automate incident response, and improve detection efficacy.

Customer Management: Develop and maintain high-value relationships, ensuring technical alignment with customer security objectives.

Documentation Excellence: Define and implement documentation standards for sophisticated security deployments, ensuring transparency and structure for technical assets.

Authority Support: Build and apply advanced simulation environments; provide expert support for sophisticated security issues and platform challenges.

Mentorship & Growth: Build technical skills across the team, serving as a domain expert on Plan, Design, Implement, and Optimize (PDIO) methodologies.

Product Influence: Synthesize customer feedback to prioritize and advocate for Splunk product and service improvements.

Innovation: Apply expertise in security orchestration, automation, and AI Ops to deliver innovative, scalable customer outcomes.

Intellectual Capital: Lead the creation of digital assets, procedures, and standardized methodologies for Splunk security engagements.

multi-functional Partnership: Collaborate with Product Management to track security trends, influence service offers, and share actionable customer insights.

We are excited to announce that the Cisco Silicon One team is undergoing rapid growth, and we are looking for a Senior C++ Software Developer.

Your Impact

Craft and develop software driving the world's most complex infrastructures
Gain intimate knowledge of world-class silicon and programming models
Work with architecture and design teams to define the next generation of ASIC products being developed

As a Software Engineering Technical Leader, you will drive the technical vision and execution for complex security policy and access solutions that safeguard enterprise networks globally. You will leverage your deep expertise in systems programming using C, C++, and Java to architect and develop robust, scalable software. By providing technical leadership, you will mentor peers, guide architectural decisions, and foster a culture of innovation and continuous improvement within the team. Your work will directly contribute to Cisco's mission by ensuring our network access solutions are secure, programmable, and highly reliable. You will also champion software programmability and integrate automation and orchestration practices to streamline development and enhance product performance, ultimately empowering our customers to connect with confidence.

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 Youll 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.

As a Software Solution Architect, you will lead the transformation of AI infrastructure. Our NVIS team focuses on developing the next generation of NVIS Central, an agentic software platform with tools, services, and AI agents that automate, simplify, and speed up the work of our delivery organization. This role offers an outstanding chance to create and build LLM-powered agents that improve execution visibility, cut down manual tasks, and standardize workflows. These efforts allow NVIS to grow quickly and with high quality. Join us to bring up, validate, optimize, and upgrade large-scale AI Factory infrastructure for some of the worlds most advanced accelerated computing environments!

What you'll be doing:

Compose, build, and productionize agentic AI solutions, tools, and applications for the NVIS delivery organization.

Develop LLM-based agents, skills, tool-calling workflows, orchestration logic, backend services, APIs, data pipelines, and automation features as part of NVIS Central.

Translate field, delivery, operations, and product needs into clear technical builds, agent workflows, and working software.

Develop agents that can reason across project data, knowledge bases, operational systems, logs, reports, and delivery workflows.

Build workflows that help NVIS teams identify risks, summarize project status, automate repetitive tasks, improve readiness visibility, and simplify handoffs.

Work with timely engineering, retrieval-augmented generation, context management, agent memory, function calling, evaluations, and guardrails to build reliable AI systems.

Integrate LLMs and agents with internal systems, project data sources, knowledge repositories, reporting tools, and operational workflows.

Collaborate closely with software developers, architects, product managers, DevOps/SRE, and NVIS field teams to successfully implement reliable and scalable solutions.

Contribute to engineering guidelines, including code quality, testing, CI/CD, observability, documentation, security, and production support.

Lead hands-on lab debugging to fix complex silicon performance, characterization, and yield issues. Use bench findings and board-probing data to give feedback directly to the architecture and design teams. Lead ASIC bring-up on validation boards, focusing heavily on SerDes, high-speed interfaces, and power/clock domains. Run characterization across PVT (Process, Voltage, Temperature) conditions and analyse large datasets to resolve performance bottlenecks and improve chip yield. Write and optimize clean Python code to automate lab equipment and test internal chip logic. Serve as the technical lead for complex hardware debug, defining validation methodologies, and advanced lab measurement techniques for the team.