CommIT

Description We are looking for an Analytics Engineer (contract) to join Artifactory Product Analytics and build the data platform behind how we measure our products. You will own the engineering side of analytics: designing product telemetry with PMs and R&D, modeling that data into trusted, reusable datasets in the warehouse, and making those datasets easy for analysts and stakeholders to consume. Product analysts own the product questions and metric definitions; you make the data underneath them fast, consistent, and dependable. You will work inside an AI-native analytics environment (Cursor, Claude, and similar coding agents) as the default way of shipping — not as an optional add-on. Fixed-term contract: 6–8 months. Start date: October 12, 2026. Responsibilities: • Design telemetry: partner with PMs and R&D to define event and data specs for product usage — schemas, properties, validation, and the path into the warehouse (core, ongoing part of the role) • Build the modeled layer: develop and maintain dbt transformation models (staging → intermediate → gold) so Artifactory product data is consistent, tested, documented, and reusable • Enable self-serve: with the analysts, design and implement how stakeholders reach certified product data so recurring questions don't need a custom pull • Align definitions: standardize entities, grain, and model structure across Artifactory areas together with the analysts who own product meaning • Ship in an AI-native workflow: specs, SQL, dbt models, reviews, and documentation done in Cursor / Claude and equivalent tools Requirements Must-have requirements: • 4+ years in analytics engineering, data modeling, or a closely related warehouse role — shipping production-grade models, not only ad-hoc SQL • Hands-on dbt in production: models, tests, documentation, version control • Strong SQL and warehouse data modeling (layered models, grain, entities) • Amazon Redshift or a comparable cloud warehouse (Snowflake, BigQuery) • Proven experience designing product telemetry with PMs or engineers — event schemas, properties, validation • Experience with event-tracking platforms / tracking-plan tooling (Snowplow, Segment, Amplitude or similar) • Daily, fluent use of Cursor, Claude, or equivalent agentic coding environments to write, review, and ship data work • Git-based workflows and code review • Comfortable building a shared data layer in close partnership with embedded product analysts; clear English communication with PMs and engineers Nice to have: • Snowplow specifically (strongly preferred) • Redshift specifically • BI / semantic-layer exposure (Looker, Tableau, Metabase or similar) • Python for data tooling • B2B DevOps / developer-tools product domain • Bachelor's degree in a quantitative or technical field, or equivalent hands-on experience

Description We are looking for a Google Workspace Instructor & Implementer to help organizations move to Google Workspace and get real value from it. You will design and deliver training to groups and individuals, and support customers through implementation and adoption. No prior Google Workspace experience is required. We will teach you the platform during a structured onboarding program. What we need from you is proven training experience, the ability to build a course from scratch, and excellent verbal communication. Key responsibilities • Deliver Google Workspace training (Gmail, Calendar, Drive, Docs, Sheets, Slides, Meet, Chat) to end users, managers and IT teams, in person and online. • Run both group sessions (workshops, webinars, classroom training) and one-on-one coaching, including executive and VIP sessions. • Build training programs end to end: needs analysis, syllabus, lesson plans, presentations, hands-on exercises and assessments. • Create self-service learning materials such as quick-reference guides, short videos, FAQs and onboarding kits. • Support customers through migration and go-live, including day-one floor support and post-launch Q&A. • Take part in implementation projects: user onboarding, basic configuration and adoption planning, alongside the technical team. • Collect feedback and usage signals, and adjust training content to improve adoption. • Act as a trusted point of contact for customer champions and stakeholders throughout the project. What we offer • A structured onboarding program that teaches you Google Workspace, from end-user features to admin basics. • Support and funding toward official Google certifications. • Varied work with customers across sectors, mixing classroom delivery, coaching and implementation projects. • A clear growth path toward Google Workspace consultant, adoption lead or administrator roles. • A supportive team of cloud and collaboration professionals. Requirements Requirements • Proven experience delivering group training (classes, workshops or webinars). • Proven experience delivering individual training or coaching. • Experience building syllabi and training programs, from learning objectives to materials and assessments. • Excellent verbal communication and presentation skills, with the ability to explain technical topics in simple language to non-technical audiences. • Patience, a service mindset and the confidence to manage a room. • Comfortable learning new software quickly and teaching it to others. • Fluent Hebrew and good working English (spoken and written). • Availability to train on customer sites when needed. Advantages • Hands-on knowledge of Google Workspace apps. • Familiarity with the Google Workspace Admin Console (users, groups, organizational units, basic settings). • Google certification, such as Google Workspace Certification or Associate Google Workspace Administrator. • Experience with migrations from Microsoft 365 or Exchange to Google Workspace. • Background in change management or user adoption programs. • Experience creating e-learning content (short videos, LMS courses, recorded tutorials). • Previous work in a customer-facing role at an IT integrator, cloud partner or software company.

Description Commit is seeking an exceptional Product Manager that will own customer engagements end to end, from the first discovery call to production. You sit between the customer and our AI and software engineers, turning business and customer needs into a scoped plan, a spec engineers can build from, and evals that proves it works. You're fluent in AI tools (Claude code/ codex/ etc.) to research faster, draft specs, prototype, and pressure-test ideas, and you have a real feel for what today's models can and can't do. What you'll do • Define and communicate a compelling product strategy, and roadmap across multiple domains and client engagements. • Own customer engagements end to end, from discovery through design, development, launch, and improvement. • Partner with engineering, design, data science, and delivery teams to ensure products meet high standards of usability, scalability, and technical integrity. • Translate market trends, customer insights, and business objectives into clear product requirements and measurable outcomes. • Manage product prioritization and release planning across competing client and business needs. • Participate in presales activities, including scoping, solution design, and client-facing presentations, to help shape proposals and ensure alignment between client needs and product vision. • Engage directly with clients and executives to define product vision, success metrics, and product roadmap. • Drive innovation and continuous improvement through experimentation, data-driven decisions, and a strong understanding of emerging AI capabilities and their limits. Requirements What you bring • 3+ years product management experience. • Hands-on experience working with AI tools (e.g., Claude Code, Codex, ChatGPT) in your day-to-day product work. • A working grasp of how LLMs actually work: prompting, context design, agents, and where they break. • Proven success owning complex, multi-disciplinary software or AI projects from concept to market, ideally several at once. • Deep understanding of product strategy, discovery, and Agile delivery processes. • Demonstrated experience in presales processes. Working closely with sales and delivery teams to scope solutions, estimate effort, and present product value to clients. • Strong technical background and the ability to communicate effectively with engineering, AI and data teams. • Excellent business acumen and communication skills (written and verbal, English fluency is a must). • Experience in web, mobile, and backend systems. • Demonstrated ability to work cross-functionally with internal and external stakeholders, including executive leadership and enterprise clients. • Bachelor's degree in Computer Science, Engineering, or a related field (MBA or advanced degree – advantage). Nice to have • Hands-on experience building Agentic AI or LLM-powered products shipped to production. • Hands-on prompt engineering or eval design (eval frameworks, LLM-as-judge, rubric-based scoring). • Background in enterprise software, AI platforms, or internal tooling. • Experience in cybersecurity, fintech, or defense tech. • Experience in a consulting or professional services company – strong advantage. • Entrepreneurial experience (founder, co-founder, or early-stage startup leadership) – strong advantage.

Description We are looking for Backend & Cloud Infrastructure Team Lead (Node.js / AWS). You'll lead the team that owns the company's AWS cloud infrastructure and the backend microservices running on it. Hands-on leadership: roughly 60% people management, 40% staying close to architecture. You're accountable for how our microservices are designed, deployed, scaled and kept alive in production. What You'll Do: • Lead, mentor and grow a team of backend and infrastructure engineers: 1:1s, goals, performance reviews, career development • Own the architecture of the AWS environment and the microservices platform on it, from design through rollout • Break large initiatives into workstreams, delegate ownership, hold the team to delivery commitments without micromanaging • Run agile ceremonies (sprint planning, retros, grooming) and align roadmap and priorities with product and other engineering leads • Set and enforce engineering standards: code review, testing, observability, incident response, on-call rotation • Drive cost, performance and reliability improvements across the platform • Take part in hiring: interviewing, calibration, onboarding Requirements Must-Have: • 8+ years of industry experience • 5+ years as a people manager / team lead, leading engineering teams through full delivery cycles • 3+ years of production backend development in TypeScript / Node.js (APIs, services, background processing, data flows). Frontend or frontend-leaning full-stack does not count • Proven experience designing and leading AWS solutions at scale for distributed microservices — able to walk through a system you architected end to end and defend the trade-offs • Deep hands-on knowledge of core AWS: ECS/EKS, Lambda, RDS, DynamoDB, SQS/SNS/EventBridge, API Gateway, VPC networking, IAM • Containers and orchestration: Docker, Kubernetes or ECS • Infrastructure as Code (Terraform, CDK or CloudFormation) and CI/CD pipeline ownership • Production ownership: monitoring, alerting, on-call, post-incident reviews • Strong grounding in agile, and the judgment to know when to bend it • Excellent written and spoken English Nice-to-Have: • Kafka / event-driven architecture at scale • Multi-region or multi-account AWS setups • Database performance tuning at scale (Postgres, DynamoDB) • Security and compliance exposure (SOC 2, ISO 27001)

Description We are looking for a DevOps Team Lead for a role combining technical leadership, cloud architecture, and team management. The role includes designing and building AWS environments from the ground up for a variety of customers, from startups to large enterprises, while leading and mentoring a team of DevOps Engineers. You will work directly with customers technology leadership (CTOs, R&D Managers), participate in Pre-Sales activities, make technical decisions, and lead the adoption of AI tools and infrastructure for AI projects. Responsibilities Leadership & Management • Lead and mentor a team of DevOps Engineers, including task prioritization, Code Reviews, training, and knowledge sharing. • Establish Best Practices, standards, and reusable templates across the team. • Support recruitment and onboarding of new team members. • Lead the adoption of AI tools within the team's workflows. Cloud Architecture & Customers • Design end-to-end AWS architectures with a focus on security, availability, scalability, and cost. • Lead the setup of Greenfield AWS environments, including Multi-Account, Landing Zones, and AWS Networking. • Lead cloud migration and modernization projects. • Work directly with customers' technology leadership on requirements, solutions, and infrastructure roadmaps. • Participate in Pre-Sales, including technical proposals and effort estimation. • Design infrastructure for AI projects, including Bedrock, SageMaker, Vector DBs, and RAG Pipelines. Hands-On • Lead enterprise-level Infrastructure as Code using Terraform / CloudFormation. • Design and lead CI/CD and GitOps processes. • Drive Observability, Cloud Security, Compliance, and FinOps initiatives. • Handle complex incidents and lead Post-Mortems. Requirements What We're Looking For • At least 2 years of professional leadership experience as a Team Lead or Tech Lead. • 5+ years of DevOps experience, including 3+ years of hands-on AWS experience. • Proven experience designing complex cloud architectures and building AWS environments from scratch. • Strong knowledge of AWS Networking and AWS Organizations / Multi-Account environments. • Strong proficiency in Terraform, including building enterprise-level modules. • Extensive experience with Kubernetes (EKS), Docker, and Helm. • Experience designing and leading CI/CD and GitOps processes. • Strong knowledge of Linux, Python / Bash, and Cloud Security (IAM, SCPs, WAF, GuardDuty, Security Hub). • Advanced use of AI tools in day-to-day work, such as Claude Code, GitHub Copilot, and Kiro. • Strong customer-facing, communication, presentation, and decision-making skills, with the ability to manage multiple projects and customers simultaneously. • High-level English, including technical documentation and working with international customers. Nice to Have • Experience in a project-based company, consulting firm, MSP, or AWS Partner. • AWS Professional / Specialty certifications. • Experience leading large-scale AWS migrations. • Experience building infrastructure for Agentic AI solutions, including platforms and SDLC processes. • Experience with Pre-Sales and technical proposals. • Experience with Serverless, FinOps, and large-scale cloud cost optimization. • Familiarity with SOC 2, ISO 27001, HIPAA, PCI, and Multi-Cloud environments (Azure / GCP).

Description We are seeking a skilled and experienced Network Expert to join our team. The Network Expert will be responsible for designing, implementing, and maintaining our organization's network infrastructure. This role requires strong technical expertise in network architecture, protocols, security, and troubleshooting. The ideal candidate will have a passion for technology, excellent problem-solving skills, and the ability to work well both independently and as part of a team. Requirements • Expertise in the worlds of Cisco and Check Point, 7 years of experience as a communications specialist in an integration company. • Experience as a hands-on person in the field of communication. • Knowledge and experience in setting up and setting up Cisco-based environments (CCNP certification) an advantage. • Knowledge and experience in L3 routing protocol definitions. • Familiarity and experience with the ACI system. • Experience in setting up and operating a Cisco based telephony system. • Familiarity with NAC systems is an advantage. • Experience in setting up and operating Checkpoint systems (CCSA/E certification) an advantage. • Working in Ent environments is an advantage • Ability to work in a team, self-study and motivation.

Description Our company is seeking a Hardware Development Team Lead to lead cross-functional development and integration activities across the organization. The successful candidate will oversee collaboration between all engineering disciplines, including Hardware, RF, Software, and Firmware, while serving as the key interface with the Systems Engineering team. Key Responsibilities: • Lead and directly manage a multidisciplinary engineering team developing complex systems, including Mechanical, Hardware, Firmware, and RF engineers, ensuring execution according to project plans, schedules, and objectives. • Lead end-to-end product development, including system architecture definition, technical oversight, prototype development, and design verification and validation (V&V). • Serve as the primary liaison between development engineers, the Systems Engineering team, and Project Managers. • Evaluate, introduce, and implement new development tools, methodologies, and emerging technologies. • Define priorities and allocate engineering tasks based on business needs, project requirements, and market considerations. • Establish engineering methodologies, development processes, project milestones, and required deliverables for internal design reviews (PDR, CDR, etc.). • Define engineering roles and responsibilities, recruit new team members, mentor engineers, conduct performance evaluations, and develop individualized professional growth plans. • Conduct routine management activities, including status meetings, management reviews, and project progress meetings. • Prepare technical responses for project tenders (RFPs), including technical proposals, effort estimation, and cost evaluation. • Provide technical support for both internal engineering challenges and customer-facing technical issues. • Lead internal and customer design reviews as required. Requirements At least 5 years of hands-on experience in hardware development and board design, either as a Hardware Design Engineer or Firmware Engineer. At least 4 years of experience managing multidisciplinary engineering teams of five or more engineers. Proven experience leading cross-functional engineering teams. Demonstrated ability to manage multiple projects simultaneously. Experience working directly with customers. Experience preparing technical project cost estimates and pricing – an advantage. Experience writing comprehensive technical proposals for competitive tenders (RFPs) – an advantage. Background in microwave communications, telemetry systems, and RF engineering at microwave frequencies – an advantage.

Description We are looking for an Analytics Data Engineer (contract) to join Artifactory Product Analytics and build the data platform behind how we measure our products. You will own the engineering side of analytics: designing product telemetry with PMs and R&D, modeling that data into trusted, reusable datasets in the warehouse, and making those datasets easy for analysts and stakeholders to consume. Product analysts own the product questions and metric definitions; you make the data underneath them fast, consistent, and dependable. You will work inside an AI-native analytics environment (Cursor, Claude, and similar coding agents) as the default way of shipping — not as an optional add-on. Fixed-term contract: 6–8 months. Start date: October 12, 2026. Responsibilities: • Design telemetry: partner with PMs and R&D to define event and data specs for product usage — schemas, properties, validation, and the path into the warehouse (core, ongoing part of the role) • Build the modeled layer: develop and maintain dbt transformation models (staging → intermediate → gold) so Artifactory product data is consistent, tested, documented, and reusable • Enable self-serve: with the analysts, design and implement how stakeholders reach certified product data so recurring questions don't need a custom pull • Align definitions: standardize entities, grain, and model structure across Artifactory areas together with the analysts who own product meaning • Ship in an AI-native workflow: specs, SQL, dbt models, reviews, and documentation done in Cursor / Claude and equivalent tools Requirements Must-have requirements: • 4+ years in analytics engineering, data modeling, or a closely related warehouse role — shipping production-grade models, not only ad-hoc SQL • Hands-on dbt in production: models, tests, documentation, version control • Strong SQL and warehouse data modeling (layered models, grain, entities) • Amazon Redshift or a comparable cloud warehouse (Snowflake, BigQuery) • Proven experience designing product telemetry with PMs or engineers — event schemas, properties, validation • Experience with event-tracking platforms / tracking-plan tooling (Snowplow, Segment, Amplitude or similar) • Daily, fluent use of Cursor, Claude, or equivalent agentic coding environments to write, review, and ship data work • Git-based workflows and code review • Comfortable building a shared data layer in close partnership with embedded product analysts; clear English communication with PMs and engineers Nice to have: • Snowplow specifically (strongly preferred) • Redshift specifically • BI / semantic-layer exposure (Looker, Tableau, Metabase or similar) • Python for data tooling • B2B DevOps / developer-tools product domain • Bachelor's degree in a quantitative or technical field, or equivalent hands-on experience

Description Commit is seeking an exceptional Product Director to lead our product strategy and execution across multiple AI-driven and software initiatives. This is a senior, hands-on leadership role for a product visionary who thrives in complex, multi-project environments and is passionate about transforming ideas into scalable, production-grade solutions. The Product Director will own the end-to-end product lifecycle — from strategy and vision through discovery, design, development, launch, and continuous improvement. You’ll lead product teams, guide product managers, and collaborate with engineering, design, business stakeholders, and clients to deliver innovative, high-impact products aligned with Commit’s strategic goals. Responsibilities • Define and communicate a compelling product strategy and roadmap across multiple domains and client engagements. • Lead, mentor, and grow a team of product managers and product owners to excellence in execution and strategic thinking. • Partner with engineering, design, data science, and delivery teams to ensure products meet high standards of usability, scalability, and technical integrity. • Translate market trends, customer insights, and business objectives into clear product requirements and measurable outcomes. • Manage product prioritization and release planning across competing business needs. • Participate in presales activities, including scoping, solution design, and client-facing presentations, to help shape proposals and ensure alignment between client needs and product vision. • Engage directly with clients and executives to define product vision, success metrics, and long-term roadmap. • Drive innovation and continuous improvement through experimentation, data-driven decisions, and a strong understanding of emerging technologies. Requirements Requirements • 8+ years as a Senior product management experience, including guiding product teams or managing a product portfolio. • Proven success leading complex, multi-disciplinary software or AI projects from concept to market. • Demonstrated experience in presales processes — working closely with sales and delivery teams to scope solutions, estimate effort, and present product value to clients. • Deep understanding of product strategy, discovery, and Agile delivery processes. • Strong technical background; ability to communicate effectively with engineering and data teams. • Excellent business acumen and communication skills (written and verbal, English fluency required). • Experience in web, mobile, and backend systems. • Demonstrated ability to work cross-functionally with internal and external stakeholders, including executive leadership and enterprise clients. • Experience in a consulting or professional services company – strong advantage. • Entrepreneurial experience (founder, co-founder, or early-stage startup leadership) – strong advantage. • Bachelor’s degree in Computer Science, Engineering, or related field (MBA or advanced degree – advantage).

Description About the role Commit builds software products for clients across embedded, IoT, SaaS, AI/ML, e-commerce, mobile, and web. We’re looking for a Full Stack Team Lead to own the technical direction of a product team — setting architecture, raising engineering standards, and shipping. You’ll lead hands-on: writing code, guiding a small team of engineers, and partnering directly with clients (including large enterprise and banking environments). This is a role for someone who leads by example and treats modern AI-assisted development as a core part of the craft. What you’ll do • Own the technical design and architecture of full stack applications, end to end. • Lead a team of engineers — code reviews, mentoring, and raising delivery quality and velocity. • Stay hands-on: write production C# across the .NET stack (ASP.NET Core, microservices, cloud-native). • Drive AI-first development practices (Claude Code, Cursor) across the team. • Work closely with clients and stakeholders to translate business needs into technical solutions. • Uphold engineering standards: testing, CI/CD, code quality, and delivery discipline. Requirements Must-have qualifications • 7+ years as a software engineer, including senior-level work. • 5+ years as a tech lead / team lead. • 1+ years experience in AI Tools Claude Code, Copilot, Cursor. • Expert-level knowledge of C#, .NET. • Expert-level command of the full stack ecosystem: build tooling (e.g. Vite) and frameworks/libraries (e.g. TanStack, Redux, Zustand). • Strong hands-on experience with AI-first development (Claude Code, Cursor). • Fluent with modern dev tooling: Git, JIRA, Jenkins. • Professional-level English. • Excellent interpersonal and communication skills. Nice to have • Additional programming languages and frameworks. • Fluency with API design and documentation tooling (e.g. Swagger, SwaggerHub, IBM API Connect). • Experience working in large organizations (e.g. banking / financial services)

Description About the role Commit builds software products for clients across embedded, IoT, SaaS, AI/ML, e-commerce, mobile, banking and web. We’re looking for an Automation QA Team Lead to own quality engineering for a product team and lead our shift to AI-first QA. You’ll set the test strategy, lead a team of QA engineers, and stay hands-on building automation — with AI woven into how tests are designed, authored, and maintained. This is a role for someone who pairs deep automation craft with modern AI tooling and can translate requirements into test documentation that both people and AI agents can execute. What you’ll do • Own the QA strategy and test architecture for full stack web applications, end to end. • Lead and mentor a team of QA engineers — reviews, standards, and delivery quality. • Stay hands-on: design and build automated E2E and regression suites with Playwright. • Drive AI-first QA practices — AI-assisted test authoring, self-healing suites, and AI-driven test generation from requirements. • Author Software Test Documents (STDs), test plans, and test cases structured for AI-driven execution. • Partner with developers and clients (including large enterprise and banking environments) to embed quality across the delivery lifecycle. Requirements Must-have qualifications • 7+ years in QA / test automation. • 3+ years as a QA team lead / manager (hands-on people leadership). • 1+ years AI tools like Claude Code, Cursor ant etc. • Expert-level automation with Playwright (a must). • Deep, hands-on fluency with modern browsers and their dev tools (Chromium, Firefox, WebKit). • Proven experience applying AI tools to QA beyond Playwright — for example: AI-assisted test authoring (GitHub Copilot, Cursor, Claude Code), self-healing / autonomous E2E (mabl, Testim, or Katalon), and AI visual validation (Applitools). • Experience writing STDs and test plans suitable for AI-driven testing. • Fluent with modern dev tooling: Git, JIRA, Jenkins. • Professional-level English. • Excellent interpersonal and communication skills. Nice to have • Additional automation frameworks and languages (e.g. Cypress, Selenium, TypeScript/Python). • Performance, API, or security testing experience. • Experience working in large organizations (e.g. banking / financial services).

Description חברת Commit מגייסת אינטגרטור/ית תקשורת לניהול תשתיות תקשורת ו-Linux. התפקיד כולל אחריות על תכנון, יישום ותחזוקה של מערכות תקשורת, Linux ואבטחת מידע מתקדמות. כולל שימוש בטכנולוגיות חדשות, שמירה על ביצועים אופטימליים ופתרון בעיות מורכבות בתחום התקשורת. תחומי אחריות: • ביצוע אינטגרציה והטמעה של נתבי ומתגי תקשורת. • הגדרה ואופטימיזציה של פרוטוקולי ניתוב כגון OSPF, BGP, MPLS, Multicast. • ניטור ביצועי הרשת, פתרון תקלות ואיתור בעיות לשיפור היעילות. • עבודה בשיתוף פעולה עם צוותים נוספים להבטחת יציבות ואבטחת מערכות התקשורת. • סיוע צמוד לצוותי פיתוח בתחום התקשורת ופרוטוקולי תקשורת. Requirements • ניסיון מוכח בתחום ארכיטקטורת תקשורת– חובה • מומחיות בפרוטוקולי ניתוב (OSPF, BGP,PIM, MPLS, Multicast, TCP\IP, RIP) – חובה • ידע ועבודה עם Linux (התקנה, scripts וכד)- חובה • לידע בתיכנות ב bash, python, בC++ - יתרון • הסמכה של Checkpoint או Fortinet – יתרון • הסמכת CCNA – חובה; הסמכת CCNP – יתרון • סיווג ביטחוני בתוקף – יתרון • ידע במערכות ניטור וניהול רשת (Spectrum, Zabbix, ACS/ISE) – יתרון • היכרות עם עולמות הסיסטם והווירטואליזציה – יתרון • ניסיון בעבודה עם רשתות ביטחוניות – יתרון

Description Commit Data is looking for a highly skilled Data Engineer to join our growing Data Analytics Department. As a Data Engineer in a multi cloud company, you will build data-driven solutions for our customers using cutting-edge data tools and large-scale data on AWS\GCP\Azure. Job Responsibilities: • Lead data solutions design and development for our various clients and projects. • Design the solution by understanding the needs, modeling the data, choosing the right tools and defining the interfaces/dashboards. • Develop Data Pipelines, Data Lakes, DWHs, AI\ML models, Dashboards and reports using advanced tools and leading technologies. Requirements • Requirements: • 5+ years of relevant experience as Data Engineer – a must. • Experience with Python based data pipelines/ETLs and other ETL\ELT tools (such as Glue, Rivery, Data Factory, DBT). • High Proficiency in SQL – a must. • Experience designing and developing DWHs in the cloud – Redshift\Snowflake\BigQuery is a must. • Experience with BI & visualizations tools like Tableau\Quicksight\Power BI\Looker. • Knowledge and experience with AI\ML (working with tools like SageMaker\ Bedrock\ Q\ BigQuery ML\ Vertex AI\ Gemini) - big advantage. • Strong analytical and problem-solving skills with attention to details. • High self-learning skills • Fluent English

Description Commit is looking for a Senior Network Technical Lead to own the full technical lifecycle of network and security infrastructure projects — from requirements and design through implementation, customer acceptance, and handover This is a technical-authority role, not a hands-on-keyboard-only position: the person sets direction for other engineers and is accountable for every design decision on the project. Core Responsibilities • Own solution design end-to-end: translate customer requirements into secure, scalable network architectures, and produce HLD and LLD documentation. • Lead technical delivery — installation, configuration, migrations, and upgrades of enterprise network and security infrastructure. • Make and defend architecture and security design decisions spanning routing, switching, firewalling, and access control. • Lead FAT/SAT, customer acceptance, and technical handover, including as-built documentation. • Act as the primary technical point of contact for the customer for the duration of the project. • Set technical direction and mentor other engineers working on the project. • Identify and mitigate technical and security risk throughout the project lifecycle. • Coordinate with vendors and with the System and Cyber Security teams to ensure integrated delivery • Own and take an active part in integration work for projects both in Israel and abroad, including on-site involvement when required Requirements Must Have ✓ CCIE certification. ✓ 15+ years of hands-on enterprise networking experience, with demonstrated end-to-end ownership of complex projects. ✓ Proven experience designing and delivering enterprise network security architectures — firewalling, segmentation, access control — across multiple vendor ecosystems. ✓ A track record of producing HLD/LLD/ATP documentation and leading implementation independently, not just executing someone else's design. ✓ Experience leading or mentoring engineers within a project. ✓ Sustained, direct customer-facing project delivery experience. ✓ Willingness and availability to travel abroad for on-site integration work. ✓ Excellent written and spoken English. Nice to Have + Additional expert-level certifications (e.g., firewall vendor expert tracks) beyond CCIE. + Cloud networking experience (Azure/AWS) and hybrid connectivity. + Automation/IaC experience (Python, Ansible, Terraform). + OT/ICS exposure and familiarity with IEC 62443. +Breadth across multiple vendor ecosystems rather than a single-vendor background

Description אנו מגייסים RevOps ורכז/ת מכרזים לתפקיד מגוון הכולל תמיכה במנהלי לקוחות, בקרה עסקית ותפעולית, תמיכה בתהליכי מכרזים ושיפור תהליכים. התפקיד כולל עבודה שוטפת מול ממשקים פנים ארגוניים ולקוחות, ניתוח נתונים, הפקת דוחות והנעת תהליכים רוחביים. תחומי אחריות: • הכנת הצעות מחיר, נתונים למצגות הנהלה, בקרה על רווחיות ותקציבים וניהול נתוני פרויקטים והזמנות. • תמיכה בלקוחות בנושאי כספים וחיובים. • איתור וניתוח מכרזים והובלת תהליך הכנת המענים מול הממשקים הרלוונטיים. • ניהול ותחזוקת נתונים במערכות CRM, כולל HubSpot- פתיחת הזדמנויות, דשבורדים, דוחות והדרכות משתמשים. • עבודה עם מערכות תפעוליות כגון Priority, Jira, כולל בקרה תקציבית על פרויקטים, הזמנות וחשבוניות. • פיתוח דוחות ודשבורדים, שיפור איכות הנתונים ותמיכה בקבלת החלטות באמצעות ניתוח נתונים. • קידום אוטומציות, הטמעת כלים ומערכות חדשות ובניית תהליכי עבודה רוחביים וסטנדרטיזציה. Requirements דרישות חובה • תואר ראשון במנהל עסקים/תעשייה וניהול. • יכולת ארגון, סדר וניהול מספר משימות במקביל. • ירידה לפרטים ויכולת עבודה בסביבה מרובת ממשקים. • עצמאות, אחריות אישית ויכולת להניע תהליכים. • כישורי תקשורת בינאישית גבוהים ויכולת עבודה מול לקוחות וממשקים פנים־ארגוניים. • שליטה מלאה ב־Microsoft Office, בדגש על Excel, Word ו־PowerPoint. יתרון • ניסיון באופרציה, PMO, תיאום פרויקטים או תפקיד אדמיניסטרטיבי/תפעולי. • ניסיון בעבודה עם מערכות CRM, HubSpot או Priority. • ניסיון עם מערכות לניהול משימות ופרויקטים כגון Jira. • היכרות עם תהליכי מכרזים במגזר הציבורי והבטחוני.

Description We are seeking a talented Assistant Controller to join our Finance team. This is a cross-entity role, focusing on group-wide consolidation, reporting packages, and financial analysis across subsidiaries. The position provides exposure to the full closing cycle and IFRS reporting, while also supporting internal controls in a public company environment. Key Responsibilities: • Participate in monthly, quarterly, and annual closing processes. • Support the preparation of consolidated financial statements in accordance with IFRS. • Prepare, review and analyze subsidiaries' financial data and internal reports; monitor progress, provide support, and offer guidelines. • Perform cross-entity financial analysis and variance reviews. • Collaborate with the Company's external auditors. • Assist in the implementation and monitoring of SOX/internal controls. • Support group-level accounting procedures and policies. • Handle ad-hoc finance-related projects and special assignments. • Prepare and review statutory and tax filings. Requirements Requirements • CPA with at least 2 years of Big4 audit experience, preferably with global public high-tech companies. • Knowledge of IFRS. • Highest standards of accuracy and precision, with strong attention to detail and organizational skills. • Fluency in English (spoken and written). • Ability to thrive in a fast-paced, multi-currency, global environment.

Description We are looking for a DevOps Engineer specializing in AWS to work with multiple customers across a variety of projects and industries. The role includes building AWS environments from the ground up, implementing infrastructure and CI/CD processes, and working closely with customers' development and infrastructure teams. You’ll gain wide and diverse experience in a dynamic environment, different technologies and architectures, while using AI tools in your daily work and taking part in projects involving AI solutions. Responsibilities AWS & Cloud Infrastructure • Build Greenfield AWS environments, including Organizations, Multi-Account structures, Landing Zones / Control Tower, and SCPs. • Design and implement AWS infrastructure, including VPC, Subnets, Routing, Transit Gateway, VPN, Security Groups, Route 53, Load Balancers, KMS, and IAM. • Apply AWS Well-Architected Framework best practices across security, availability, performance, and cost. • Develop and maintain Infrastructure as Code using Terraform / CloudFormation. DevOps & Customer Collaboration • Build and improve CI/CD processes using tools such as GitHub Actions, Bitbucket, and GitLab. • Implement and manage Observability and monitoring solutions, including CloudWatch, Prometheus, Grafana, and ELK. • Support multiple DEV, STG, and PROD environments across several customers. • Work directly with customers' Development, QA, and Security teams to understand requirements and provide solutions. • Use AI tools such as Claude Code and Kiro for coding, IaC, automation, and troubleshooting. • Participate in building infrastructure for AI projects, including Amazon Bedrock and SageMaker. Requirements Requirements • 2–3 years of experience as a DevOps Engineer, with hands-on AWS experience • Practical experience building AWS environments and Networking. • Experience with AWS Organizations, Multi-Account environments, and IAM. • Hands-on experience with Infrastructure as Code (Terraform / CloudFormation). • Experience with CI/CD tools such as Jenkins, GitHub Actions, GitLab, or similar. • Experience with Docker and familiarity with Kubernetes. • Experience working with Linux and scripting using Bash / Python. • Regular use of AI tools in day-to-day work. • Ability to work on multiple projects and customers simultaneously, with strong prioritization and context-switching skills. • Strong service orientation, interpersonal skills, and customer-facing abilities. • Ability to work independently and as part of a team, with a strong self-learning mindset. Nice to Have • Experience in a project-based company, consulting firm, or MSP. • AWS certifications, such as Solutions Architect – Associate, SysOps Administrator, or Advanced Networking. • Experience with AWS Control Tower / Landing Zone. • Experience with EKS, Helm, and Argo CD / Flux CD. • Knowledge of Cloud Security, including SCPs, WAF, GuardDuty, and Security Hub. • Experience building infrastructure for Agentic AI solutions, including platforms and SDLC processes. • Familiarity with FinOps and AWS cost optimization. • Good English, including working with international customers. • Familiarity with Agile / Scrum methodologies.

Description Are you a highly skilled and motivated DevOps Engineer with deep expertise in Google Cloud Platform (GCP)? Do you thrive on complex challenges and wish to make a significant impact on critical national infrastructure? Join our elite team, exclusively focused on GCP, where we lead transformative cloud journeys for top-tier Israeli governmental, defense, semi-military, and enterprise organizations. Our team of 7 GCP specialists is at the forefront of cloud and security integration, dedicated to building highly resilient, scalable, and secure cloud environments. We're seeking an exceptional individual to join us in designing, migrating, and optimizing solutions that leverage the full power of GCP, from foundational Landing Zones (based on Fast Fabric principles) to cutting-edge AI capabilities. If you possess a strong blend of technical mastery, excellent interpersonal skills, and a commitment to excellence, coupled with a genuine passion for GCP and a drive to learn – we invite you to be a part of our growing success. Responsibilities: • Lead GCP Platform Design & Implementation: Architect, deploy, and manage complex GCP environments for strategic clients, including the establishment of secure and compliant Landing Zones following Fast Fabric principles. • Advanced Infrastructure as Code (IaC): Develop, maintain, and optimize robust Infrastructure as Code using Terraform at an advanced level, ensuring automated, consistent, and auditable deployments. • CI/CD Pipeline Mastery: Design, implement, and enhance Continuous Integration, Continuous Delivery, and Continuous Testing pipelines for seamless application deployments. • Cloud Security & Compliance: Ensure stringent cybersecurity compliance with operational risk standards, centrally defined security policies, and regulatory requirements for sensitive government and defense entities. • Migration & Optimization: Facilitate the migration of critical workloads from on-premise data centers to GCP and optimize existing cloud solutions for performance, cost, and scalability. • AI/ML Integration: Guide and assist clients in leveraging GCP's AI/ML capabilities to unlock new insights and drive innovation within their organizations. • Networking Expertise: Design, implement, and troubleshoot complex networking solutions within GCP, ensuring robust and secure connectivity. • Technical Advisory: Provide expert technical guidance and mentorship to clients, addressing all GCP-related needs and fostering best practices. • Innovation & Research: Continuously explore and integrate new GCP services and products, especially in emerging fields like Generative AI, to maintain a leading edge Requirements • 3+ years of hands-on experience as DevOps Engineer / Cloud Engineer in a major cloud platform (GCP) • Significant hands-on experience with GCP is a strong advantage. • Proven willingness and ability to rapidly learn and specialize in GCP is essential for candidates with primary experience in other clouds. • Exceptional proficiency in Terraform is mandatory, with a track record of building, maintaining, and troubleshooting complex IaC modules and environments. • Solid foundation in on-premise infrastructure: Proven experience with traditional data center environments, including virtualization, storage, and networking concepts. • Strong networking background: In-depth understanding and practical experience with networking principles (TCP/IP, routing, firewalls, VPNs, Load Balancing) and their implementation within cloud environments (ideally GCP: VPC, Shared VPC, Cloud VPN, Cloud Interconnect, Cloud DNS). • Expert understanding of CI/CD methodologies and tools (e.g., Jenkins, GitLab CI/CD, Cloud Build, ArgoCD). • Proficiency with containerization and orchestration technologies: Extensive experience with Kubernetes, GKE (or EKS/AKS), Cloud Run, and Serverless platforms (Cloud Functions/Lambda/Azure Functions). • Hands-on Linux System Administration experience. • GCP Professional Cloud Architect Certification (or willingness to achieve it within a defined timeframe) – is a significant advantage. Candidates with AWS/Azure Professional certifications demonstrating similar capabilities will be considered, provided they commit to GCP certification. • Proven track record of delivering complex technical projects and/or programs. • Excellent interpersonal and communication skills, with a strong ability to collaborate effectively with clients and team members. • Highly motivated, proactive, and a strong problem-solver with a passion for continuous learning and innovation. • Experience with AI/ML services on GCP (e.g., Vertex AI, AI Platform, BigQuery ML) – a plus.

Description We are looking for Senior Computer Vision / ML Engineer, you will develop and implement computer vision and machine learning algorithms that operate on large-scale real-world video data. The role combines algorithm development and software engineering, with approximately equal focus on building high-performing models and turning them into robust, production-quality solutions. You will work independently, take ownership of your tasks and outcomes, and collaborate closely with other R&D teams to integrate your algorithms into FarmSee's production systems. What You'll Do: • Develop and implement computer vision and deep learning algorithms for detection, segmentation, tracking, and re-identification. • Research, prototype, evaluate, and improve machine learning approaches using real-world datasets. • Develop high-quality Python code for both algorithmic development and production environments. • Design experiments, evaluate model performance, analyze failures, and continuously improve algorithm accuracy and robustness. • Define and support data collection and annotation processes required for model development and validation. • Optimize models and inference pipelines for performance and scalability. • Collaborate with backend, infrastructure, QA, and other R&D teams to integrate algorithms into production systems. • Use modern AI-assisted development tools such as Codex, Claude Code, Cursor, or equivalent as an integral part of day-to-day development, debugging, testing, and code improvement. • Stay current with relevant developments in computer vision, deep learning, and AI-assisted software development. Requirements Requirements: • Bachelor's degree in Computer Science, Electrical Engineering, or a related technical field. • At least 5 years of hands-on professional experience in Computer Vision, Machine Learning, and Deep Learning. • Strong practical experience with image segmentation, multi-object tracking, and visual re-identification (metric learning), as well as ML for tabular data. • Strong understanding of classical image processing and computer vision techniques. • Strong Python programming skills. • Strong experience with PyTorch or other major deep learning frameworks. • Solid understanding of batching, caching, numerical precision, and memory optimization for model deployment. • Ability to write clean, maintainable, production-quality Python code. • Strong understanding of object-oriented programming, software design principles, design patterns, testing, and software development best practices. • Proven ability to work independently with minimal supervision and take full ownership of assigned tasks and outcomes. • Practical experience using modern AI coding tools such as Codex, Claude Code, Cursor, or equivalent. • Strong analytical and problem-solving skills. • Good communication and collaboration skills. Advantage: • Experience optimizing deep learning models for inference. • Experience with TensorRT. • Experience with NVIDIA Triton Inference Server. • Experience profiling and optimizing GPU-based workloads.

Description We are seeking a Junior Customer Success Manager with a strong interest in cybersecurity and DevOps services. This hybrid role combines client-facing relationship management with hands-on support of sales operations. You will help ensure the success of our B2B clients by guiding them through onboarding, adoption, and support, while also contributing to the operational efficiency of our sales and service delivery teams. Key Responsibilities: • Support onboarding and implementation for clients using our cybersecurity or DevOps services (e.g., SOC-as-a-Service, Compliance, CI/CD pipelines, cloud security, SIEM/SOAR). • Act as a trusted point of contact for junior-level technical and business users. • Monitor customer health scores and flag risks proactively. • Assist in coordinating service delivery with technical teams (e.g., security analysts, DevOps engineers). • Gather client feedback and contribute to continuous service improvement. • Maintain and update CRM records (e.g., HubSpot, Salesforce), ensuring accurate tracking of opportunities, renewals, and upsell paths. • Support proposal preparation, quote management, and contract tracking for cybersecurity and DevOps solutions. • Generate and maintain reports on customer lifecycle KPIs (onboarding progress, renewals, churn, satisfaction). • Coordinate internally with Finance, Legal, and Operations to streamline the deal and support lifecycle. • Document and refine processes that support scalable growth and retention. Requirements Qualifications: • 1–2 years of experience in customer success, technical account management, or sales —preferably in a cybersecurity or DevOps environment. • Basic understanding of IT infrastructure, DevOps pipelines, cloud platforms (AWS, Azure), or security principles. • Familiarity with CRM and support tools (e.g., HubSpot, Jira, ServiceNow). • Strong communication, documentation, and time management skills. • Analytical mindset with attention to detail and eagerness to learn. Preferred Qualifications: • Exposure to cybersecurity services (SOC, MDR, NDR, SIEM, endpoint protection). • Understanding of DevOps tools and processes (Git, CI/CD, containers, infrastructure as code). • Experience in a B2B technology or MSP/MSSP company