לוח משרות דרושים הייטק

In one sentence
As AI reshapes the future of software, we aim to harness its power to transform the way networks, IT systems, and business operations are built and managed. We seek a visionary and hands-on AI Evangelist & Enablement Lead to join our company.
This is a unique hybrid role that combines deep technical expertise with a passion for teaching, enabling, and advocacy. As a member of the company agentic AI office. you will join our internal team of champions for AI-driving the adoption of Agentic and Generative AI across our company engineering and product teams, while also positioning our company as a thought leader in the global technology ecosystem.
What will your job look like?
Internal AI Enablement & Strategy
Partner with engineering and product development teams to integrate and optimize AI/GenAI tools throughout the software delivery lifecycle, from coding and testing to deployment and operations.
Define and champion best practices, coding standards, and standardized workflows for AI-assisted development across the organization.
Establish and lead an internal AI community of practice, fostering a culture of innovation, knowledge sharing, and responsible AI adoption.
Hands-on Implementation & Prototyping
Lead the evaluation, piloting, and integration of new AI development platforms (e.g., advanced coding assistants, MLOps frameworks, internal LLM deployments).
Build proof-of-concept projects and reusable AI components to showcase the value of emerging technologies and architectural patterns.
Design and document robust frameworks for leveraging AI services with a focus on scalability, performance, security, and cost-effectiveness.
Knowledge Sharing & Education
Create and deliver hands-on workshops, tech talks, and practical tutorials on topics like prompt engineering, AI-powered debugging, and integrating LLMs into production workflows.
Develop an internal knowledge base with code samples, case studies, and technical documentation to empower engineers to adopt and scale AI independently.
Mentor engineers and team leads, helping them grow their skills and confidence in applying AI to complex telecom and enterprise challenges.
External Evangelism & Thought Leadership
Represent our company as a technical expert at industry conferences, customer events, and developer communities.
Publish technical blog posts, whitepapers, and open-source contributions that showcase our companys innovative use of AI in the telecom and enterprise software domains.
Stay at the forefront of the rapidly evolving AI landscape, bringing back insights and opportunities to the organization.

We are looking for an experienced Senior DevOps Engineer with strong hands-on expertise in AWS, Kubernetes (EKS), Terraform, and GitHub Actions. The ideal candidate will play a key role in designing, building, and maintaining scalable, secure, and highly automated cloud environments, while partnering closely with engineering teams to enable reliable CI/CD pipelines, infrastructure as code, and production-grade systems.
What youll do:
Design, build, and maintain scalable cloud infrastructure on AWS
Operate and optimize EKS clusters, including node groups, autoscaling with Karpenter, networking, and cluster add-ons
Develop and maintain Infrastructure-as-Code (IaC) using Terraform (modular design, GitOps workflows)
Build and enhance CI/CD pipelines using GitHub Actions
Implement monitoring, logging, and alerting (Datadog )
Improve system reliability through automation, observability, and performance tuning
Collaborate with development teams to improve delivery speed and reduce operational friction
Ensure cloud security best practices, IAM policies, and compliance controls
Own production issues, root-cause analysis, and long-term fixes.

In one sentence
Join our companys GenAI & Data innovation hub as a hands-on technical leader driving the design and development of next-generation AI systems. Youll translate ambitious ideas into robust architectures, lead experimentation with cutting-edge AI tools, and help bring breakthrough concepts from prototype to production - all within a fast-moving, startup-style team inside a global enterprise.
What will your job look like?
Own the technical design and architecture of advanced GenAI systems and multi-agent frameworks across multiple innovation streams.
Work side-by-side with product innovators and data scientists to evaluate new GenAI technologies, APIs, and frameworks - translating potential into practical solutions.
Design and build prototypes and PoCs, validating technical feasibility, scalability, and business impact.
Drive best practices in model orchestration, vector storage, context management, and retrieval-augmented generation (RAG).
Collaborate with internal R&D and engineering groups to transition successful innovations into production-grade architectures.
Evaluate external technologies and startups for potential integration or partnership, contributing to build-vs-buy decisions.
Mentor and guide other engineers and AI specialists, fostering a culture of curiosity, technical excellence, and experimentation.
Operate with a startup mentality - agile, resourceful, and comfortable with fast pivots and evolving priorities.

In one sentence
We are looking for a passionate and experienced DevSecOps Manager to lead a dynamic team driving post-merger security integration, cloud infrastructure hardening, and secure DevOps practices across our companys global operations
What will your job look like?
You will lead a team of professionals in Israel, including SecOps experts, DevOps engineers, and a due diligence specialist, overseeing all security aspects of PMI (Post-Merger Integration) processes.
You will be responsible for embedding acquired companies into our companys corporate security and operational frameworks, tailoring integration based on company size and complexity.
You will define and implement security strategies across cloud environments (Kubernetes, Jenkins, GitHub, CI/CD), ensuring alignment with our companys standards and regulatory requirements.
You will act as a hands-on technical leader, guiding the team through complex DevSecOps challenges, and bridging gaps in technical knowledge where needed.
You will collaborate with internal stakeholders and acquired entities to ensure secure onboarding, infrastructure hardening, and compliance with corporate security policies.
You will manage cross-functional initiatives, including risk assessments, secure SDLC processes, and continuous improvement of security operations.
You will provide mentorship, performance management, and career development for your team, fostering a culture of innovation, accountability, and technical excellence.

In one sentence
Join our companys newly established GenAI & Data unit and act as the entrepreneur-in-residence driving the companys AI innovation agenda.
Youll identify bold opportunities, validate disruptive ideas, and turn cutting-edge GenAI technologies into scalable, high-impact business solutions - operating with startup agility inside a global enterprise.
What will your job look like?
Lead the GenAI innovation engine across our company- scouting, experimenting, and scaling ideas that redefine experiences
Operate with a startup mindset inside a large organization: move fast, stay lean, and deliver tangible outcomes with creativity and resourcefulness.
Identify and validate disruptive technologies, from AI automation to intelligent data platforms and agentic systems.
Shape the innovation strategy, translating trends into actionable pilots, proofs of concept, and scalable business applications.
Get hands-on with technology - evaluating architectures and emerging technologies to assess feasibility and differentiation.
Build and lead a small, high-impact innovation team of AI engineers, data scientists, product innovators, and designers.
Foster a culture of curiosity, experimentation, and continuous learning, encouraging rapid iteration and evidence-based decisions.
Collaborate closely with product, R&D, and business units to align innovation with strategic objectives and market opportunities.
Establish and manage partnerships with startups, partners, VCs, and academia to bring external innovation into our company.
Communicate and inspire: present ideas, vision, and results clearly to executives, partners, and global audiences.
Represent our company externally as a thought leader in GenAI innovation, sharing insights and building the companys global visibility.

Required Senior Cloud Security Architect
Position Overview:
As a Cloud Security Architect, you will be responsible for defining and strengthening the security posture of our products and cloud environments. You will lead threat modeling, risk assessments, and the design of secure architectures, while guiding teams in implementing effective security controls and secure development practices. Working closely with developers, engineers, and management, you will ensure security is embedded throughout the product lifecycle and clearly communicate complex concepts across the organization. This role requires strong technical expertise, strategic thinking, and a proactive approach to emerging threats.
Key Responsibilities:
Conduct Threat Modeling and Security Risk Assessment to identify weaknesses in existing security measures and develop strategies to address them.
Design Security Architecture that withstand attacks and ensure the confidentiality, integrity, and availability of the product. This involves establishing secure configurations, access controls, authentication mechanisms, and encryption methodologies.
Implementing Security Controls guiding the integration of secure coding practices, establishing secure development lifecycles, and ensuring adherence to established security standards.
Collaborate with stakeholders including developers, engineers, and management teams. Communicate complex security concepts in a clear and concise manner, ensuring that all parties understand the importance of incorporating security measures into the product development process.
Stay updated with emerging threats and remain vigilant, continuously monitoring emerging threats and vulnerabilities.

We are looking for a visionary and deeply technical Chief Architect for Data, AI & GenAI Platforms to drive the architecture, tooling, and long-term technological direction of our enterprise data and GAI products and initiatives. This is a foundational leadership role that sits at the intersection of hands-on system design, cross-functional enablement, and long-term strategic innovation.
You will serve as the chief architect and technology strategist across all data, AI, and GenAI efforts-owning the blueprint that powers intelligent products, agent-based experiences, and scalable platforms. Your work will influence product design, platform infrastructure, governance models, and the broader technical ecosystem we operate in.
We are seeking someone with deep, hands-on experience building large-scale, production-grade data and AI systems-combined with the ability to mentor teams, influence engineering leaders, and partner with product and business leadership to deliver enterprise-scale transformation.
Key Responsibilities
Define and own the technology vision, architecture, and evolution roadmap for all data, ML/AI, and GenAI systems across the organization.
Lead the architectural design and hands-on guidance of scalable data pipelines, real-time analytics, AI agent platforms, model hosting infrastructure, and enterprise knowledge frameworks.
Oversee and connect multiple AI and data-related initiatives, including LLM agents, vector databases, RAG pipelines, MLOps, and enterprise data lakes-ensuring coherence, reusability, and security.
Establish and enforce technical standards, patterns, and tooling across teams to ensure high-quality engineering, model performance, and platform scalability.
Partner with product, engineering, and business leaders to align technology strategy with product goals, business outcomes, and customer needs.
Guide the evaluation and adoption of emerging technologies including open-source GenAI frameworks, fine-tuning platforms, orchestration tools, and scalable cloud-native architectures.
Mentor and support principal engineers, data scientists, platform leads, and architects-creating a culture of technical excellence, experimentation, and ownership.
Champion data quality, model explainability, AI governance, and responsible AI practices across the entire lifecycle.
Serve as a senior thought leader internally and externally-representing the company in technical forums, conferences, and customer engagements when needed.

In one sentence
The Information Security Specialist will lead the efforts to secure the company ecosystem by guiding and monitoring the different IT/ Product/ Business teams to ensure organizational security, by designing a secure architecture of software products/ conducting risk and threat analysis/ analyzing and managing a secure solution in the domain of infrastructure/ application while responding to specific stakeholders questions.
What will your job look like?
You will recommend information technology policies, standards and guidelines by evaluating the organization's outcomes, identifying problems, evaluating trends, and anticipating requirements.
You will work with the technical teams both within and outside of our company to embed, deploy or guide all security requirements.
When applicable, you will conduct the information security risk assessment program. Review compliance with the information security policy and associated procedures and practices.
You will research and educate the IS organization around specific standards and regulations that might apply to different domains while monitoring their implementation throughout the security ecosystem and provide recommendations to the relevant stakeholders.
You will keep up-to-date with emerging security threats and alerts, emerging products, services, protocols, and standards in support of security enhancement and development efforts.
You will provide technical guidance to IS teams by means of coaching and mentorship to achieve project goals to the required level of quality. Promote team engagement, empowerment and motivation.
You will onboard new hires, train and share knowledge, take an active role in technical mentoring and elevating team knowledge.
You will enforce quality processes (i.e. performing technical root cause analysis, outlining corrective action for given problems) and ensure that all the project agreed deliverables are completed to the required level of quality.

We are seeking a Senior Backend & Data Engineer to join its SaaS Data Platform team.
This role offers a unique opportunity to design and build large-scale, high-performance data platforms and backend services that power our cloud-based products.
You will own features end to end-from architecture and design through development and production deployment-while working closely with Data Science, Machine Learning, DevOps, and Product teams.
Key Responsibilities:
Design, develop, and maintain scalable, secure backend services and data platforms on AWS
Build and operate batch and streaming ETL/ELT pipelines using Spark, Glue, Athena, Iceberg, Lambda, and EKS
Develop backend components and data processing workflows in a cloud-native environment
Optimize performance, reliability, and observability of data pipelines and backend services
Collaborate with ML, backend, DevOps, and product teams to deliver data-driven solutions
Lead best practices in code quality, architecture, and technical excellence
Ensure security, compliance, and auditability using AWS best practices (IAM, encryption, auditing).

In one sentence
Join our companys GenAI & Data unit as a Lead Data Scientist and shape the future of AI innovation.
Drive the development and deployment of advanced machine learning models, lead a team of top-tier Data & AI experts, and turn bold ideas into scalable, high-impact solutions. Youll champion best practices, collaborate with R&D, and transform business objectives into cutting-edge, data-driven strategies - operating with startup agility inside a global enterprise.
What will your job look like?
As a Data Scientist Lead, your responsibilities include:
Leading and mentoring a team of Data and AI engineers, fostering a culture of innovation, collaboration, and continuous learning.
Full responsibility for developing and implementing advanced machine learning models, and translating business objectives into actionable data-driven solutions, while also mentoring junior team members and staying current with industry trends
Working with R&D groups for integration
Maintaining existing AI/ML engines.
Promoting best practices in AI development.

Required Salesforce Analyst
Position Overview:
Be a part of the Global Business Applications group, leading our Post-sale and service organization from an information system perspective using the latest technology of salesforce, Gainsight, Five9, and other related tools including managing integrations between the different information systems, where youll play a key role in shaping our information systems. Leverage cutting-edge Salesforce technologies and related tools to drive business impact, while managing integrations across multiple platforms to ensure seamless data flow and operational efficiency.
Working with latest technology of Salesforce such as Experience cloud (Customer community including e-Commerce, internal community), Digital engagement, Einstein Prediction as well as Learning management system (Appinium), Five9 call center, CMS. Responsible for integrations and creating processes cross-systems.
Using the tools like Agentforce and SF flows you will build customer journeys to support both our employee and the end users. You will be working together with the business in building processes and solutions that simplify both for the customer and the employee.
Key Responsibilities:
Own and manage end-to-end projects and items, from initial scoping and stakeholder alignment through execution, testing, deployment, and post-launch support.
Lead and deliver end-to-end Salesforce Customer Experience solutions, driving initiatives such as Customer Success, Customer Support, Training, Services and more.
Work closely with business stakeholders and technical teams to design and execute complex projects using both out of box features.
Design and analyze various business processes and related data from the requirements gathering to implementation and roll out.
Responsible for evaluating and recommending a configuration that maximizes software capabilities.
Maintenance including problem (ticket) resolution within SLA and highest quality.
Evaluate new tools to be implemented with integration to Salesforce to drive solutions to business process issues and maintain data integrity.
Participate in Agile ceremonies and work within Scrum sprint cycles to prioritize, plan, and deliver Salesforce-related tasks and enhancements.

We are looking for a highly experienced and proactive QA Manager to lead the cross-team quality assurance function across the organization. This role is responsible for defining the end-to-end (E2E) quality vision, selecting and implementing testing tools and frameworks, and guiding QA engineers embedded within application teams.
The ideal candidate is someone who thinks and breathes quality, with a strong sense of ownership and an uncompromising commitment to excellence. The QA Manager acts as the quality authority and enabler, ensuring consistency, scalability, and high standards across all products while empowering application teams to own quality execution.
Responsibilities:
Cross-Team Quality Leadership:
Own and drive the end-to-end quality vision across all application and platform teams.
Define and enforce QA standards, best practices, and quality gates across the organization.
Act as the central point of alignment for all QA activities across multiple teams.
E2E Strategy, Tools & Implementation:
Define the E2E testing strategy, covering UI, API, integration, system, and regression testing.
Own the selection, design, and rollout of QA tools and frameworks (automation, reporting, test management).
Ensure consistency and reusability of automation frameworks across teams.
Drive adoption of automation-first practices while ensuring pragmatic manual coverage where needed.
Guidance & Enablement of Application QA Teamsidance & Enablement of Application QA Teams:
Lead, mentor, and professionally guide QA engineers embedded in application teams.
Provide technical leadership, code reviews, framework guidance, and best practices for test automation and manual testing.
Support application teams in designing effective test strategies aligned with the global QA vision.
Act as an escalation point for quality risks, test gaps, and release readiness concerns.
Process, Metrics & Quality Governance:
Define and track quality KPIs across teams (E2E coverage, defect leakage, automation stability, release quality).
Establish release readiness criteria and quality sign-off processes.
Own defect lifecycle standards, risk assessments, and root cause analysis practices.
Continuously identify quality gaps and lead improvement initiatives across teams.
Collaboration & Culture:
Partner closely with Product, R&D, DevOps, SRE, and Security teams to embed quality early in the SDLC (shift-left).
Lead quality discussions in cross-team forums, architecture reviews, and planning sessions.
Promote a strong quality culture, accountability, and shared ownership across engineering.

Required IT & IS Support Tier 2
Position Overview:
As an IT & IS Tier 2 Support Specialist, you will provide enterprise-level technical support.
You will work as a team player in the Tier 2 Support Team, interface with employees, and provide technical support for the company.
Key Responsibilities:
Ongoing support for IT services via tickets, walk-ins, telephone, and remote sessions.
Services supported:
- Windows, Linux, and MAC OS Endpoints: Laptops, desktops, Virtual Machines.
- Software and Applications, such as Monday and Teams
- Office 365,Intune, Active Directory, Okta.
- Network printers and printers server IP telephony, and conferencing equipment.
Deep troubleshooting of hardware and software issues.
Research, diagnose, troubleshoot, and identify solutions to end-user issues.
Follow standard procedures for escalation of unresolved issues.
On/Offboarding of employees and changes throughout their lifecycle.
Supporting large company events remotely through Teams and in-person
Conference Rooms: Troubleshooting and configuration.