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לפני 10 שעות
דרושים בComblack
סוג משרה: משרה מלאה
חברת Comblack מגייסת Tech Lead לארגון יציב וגדול באזור ירושלים והסביבה!
התפקיד כולל תכנון ופיתוח פתרונות טכנולוגיים מקצה לקצה (End-to-End), מחקר טכנולוגיות חדשות, כתיבת ממשקי REST API, הובלת צוותי פיתוח חיצוניים, והדרכת מפתחים בצוות תוך שיתוף פעולה הדוק מול צוותי ארכיטקטורה ואבטחת מידע.
דרישות:
ניסיון של 4 שנים ומעלה בפיתוח תוכנה (# C, Angular, JS, NET Core.) - ניסיון ב- Full Stack.
ניסיון מוכח בעבודה מול בסיסי נתונים (MongoDB ו-SQL) וכתיבת ממשקי REST API.
ניסיון בהנחיה, הדרכה או ניהול צוותי פיתוח (כולל ניהול צוותים חיצוניים).
ניסיון בעבודה עם מערכת ניהול התוכן Umbraco.
ראייה מערכתית רחבה, ניסיון בתכנון פתרונות מקצה לקצה וביצוע בדיקות סופיות. המשרה מיועדת לנשים ולגברים כאחד.
 
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דרושים בStartica
מיקום המשרה: מספר מקומות
סוג משרה: משרה מלאה ועבודה היברידית
תוכניתן MF מנוסה- Cobol+DB2, Tech Lead
דרישות:
-מינימום של 5 שנות ניסיון בפיתוח ב- Cobol בסביבת MF - חובה
-מינימום של שנתיים הובלה מקצועית של הפיתוח בצוות - חובה
-שליטה ב JCL - חובה
-ניסיון של 3 שנים בפיתוח מול Db2 בסביבת MF - חובה
-ניסיון בפיתוח BATCH ברמה גבוהה וCICS - חובה
-הכרת ROSCOE או TSO - חובה
-ניסיון באפיון משימות קטנות - חובה
-ניסיון בעבודה מול משתמשים ויחידות פיתוח - חובה
-ניסיון בעבודה עם CTRLM - חובה
-ידע וניסיון במערכות פיננסיות - יתרון
-העבודה כוללת פיתוח, ניהול משימות, תמיכה במפתחים, ניהול תקלות המשרה מיועדת לנשים ולגברים כאחד.
 
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חברה חסויה
Location: Jerusalem
Job Type: Full Time
Required Algorithm Team Lead
Join our innovative team, where you will lead a talented Deep Learning R&D team developing advanced neural networks that are essential for our key products.
In this role, you will lead a team responsible for developing real-time vision models that power the vehicles understanding of its environment. The team combines research, hands-on development, model training, data analysis, optimization, and product-grade delivery for autonomous driving technologies and advanced driver-assistance systems.
As a Deep Learning R&D Team Lead, you will be responsible for both the technical and managerial leadership of the team. You will guide the full development cycle of deep learning solutions - from understanding the problem and data, through modeling and training, to performance improvement, validation, and delivery into production systems.
What will your job look like?
Lead a small and highly capable Deep Learning R&D team working on real-time computer vision models for our products.
Provide technical leadership across the full deep learning development cycle, including data understanding, model design, training, evaluation, optimization, and production readiness.
Drive goal-oriented research and development, balancing innovation with practical product needs, timelines, and delivery quality.
Mentor, support, and develop team members, while creating a strong professional environment that encourages ownership, creativity, and continuous improvement.
Break down complex and ambiguous problems into clear work plans, priorities, milestones, and execution steps.
Collaborate closely with cross-functional teams to understand requirements, align expectations, and deliver effective solutions.
Improve existing models and development flows to enhance accuracy, robustness, runtime performance, scalability, and product impact.
Stay up to date with the latest advancements in deep learning, computer vision, AI architectures, and AI-based development tools, and apply relevant ideas to improve the teams work.
Requirements:
M.Sc. or outstanding B.Sc. in Computer Science, Mathematics, Physics, Engineering, or a related field.
Leadership experience, management experience, or significant technical experience combined with strong potential and motivation to grow into a management role.
Strong professional background in Computer Vision and Deep Learning.
Hands-on experience developing deep learning algorithms using Python frameworks such as PyTorch or TensorFlow.
Strong understanding of model training, data analysis and performance improvement.
Strong problem-solving skills, creativity, independence, and the ability to handle complex problems where the solution is not always clear in advance.
Ability to work in a structured way - define priorities, break down problems, plan execution, and drive tasks to completion.
Nice to have:
Experience with real-time, production-grade, or product-oriented deep learning systems.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
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13/08/2026
חברה חסויה
Job Type: Full Time
Who We’re Looking For – The Team Lead & Architect Chargeflow is at the forefront of fintech and AI innovation. Our mission is to build a fraud-free global commerce ecosystem by leveraging cutting-edge technology—freeing online businesses to focus on their core ideas and growth. We’re looking for an experienced, hands-on AI Software Engineer Squad Lead to lead the team building the AI agents, intelligent workflows, and decision-making systems powering Chargeflow’s products. This role combines technical and architectural leadership with people leadership . You’ll lead engineers, build alongside them, and own production systems that must operate reliably, securely, and at scale.
This Is Not Your Typical Leadership Role If you’re looking to manage tasks, run standups, and stay above the code—this position probably isn’t for you. But if you want to build AI systems, shape engineers, and redefine how software teams operate in the age of AI—keep reading.
What We’re Actually Building At Chargeflow, we’re building systems that don’t just process data—they understand context, make decisions, and take action. Real-time. At scale. Under uncertainty. Our AI Platform brings together models, data, tools, business logic, and intelligent workflows to solve complex problems across the chargeback and fraud lifecycle. This isn’t a pure infrastructure or AI research role—and it isn’t about building impressive demos. It’s about turning rapidly evolving AI capabilities into reliable, production-grade products with measurable business impact.
What You’ll Actually Do
* Lead a team of strong software engineers—and build alongside them
* Own the architecture and evolution of Chargeflow’s AI Platform
* Build production-grade AI agents, intelligent workflows, and decision-making systems
* Combine LLMs with business logic, data, tools, and deterministic software
* Own AI systems across their lifecycle—from design and implementation to deployment, evaluation, and continuous improvement
* Make architectural trade-offs across accuracy, latency, scalability, reliability, security, and cost
* Turn ambiguous product and business problems into clear technical direction
* Raise the bar for code quality, system design, and engineering execution
* Help strong engineers become exceptional
Requirements:
What We Care About 7+ years of software engineering experience, with a strong backend, platform, or distributed systems background 3+ years of experience leading engineers, including mentoring, technical direction, and performance ownership
* Hands-on experience shipping LLM- or GenAI-powered capabilities to production—not just proofs of concept
* A practical understanding of agentic systems, tool use, orchestration, RAG, evaluations, and AI observability
* Experience building and operating complex, distributed, or event-driven systems at scale
* Strong architectural judgment and the ability to balance speed with long-term quality
* A hands-on mindset—you still write, review, and challenge code
* The ability to connect technical decisions with product, customer, and business outcomes
* Ownership that extends beyond your immediate team or defined scope AI Is Both the Product and Part of the Job You actively use AI development tools such as Codex, Claude Code, and Cursor in your daily workflow. You understand where AI accelerates engineering—and where human judgment remains essential. You’ll help define how an entire engineering team builds with AI while maintaining high standards for correctness, security, and maintainability.
Stack – For Context, Not as a Checklist
* Node.js / TypeScript and Python
* LLM APIs, AI agents, tool calling, RAG, and MCP
* Distributed, event-driven systems
* Kafka and AWS
* MongoDB and PostgreSQL
* Docker, Kubernetes, and ECS
* AI evaluation, monitoring, and observability If you want to be a “manager,” this isn’t the role. If you wa
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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19/07/2026
חברה חסויה
Location: Jerusalem
Job Type: Full Time
If you have a strong background in iOS development, excellent leadership skills, and a passion for building innovative applications, we want to hear from you!

The role
Lead and manage a team of iOS developers, providing technical guidance, mentorship, and support to ensure the successful delivery of high-quality iOS applications.
Collaborate with cross-functional teams, including product managers, designers, and backend developers, to define project requirements, scope, and timelines.
Drive the architectural design and technical decision-making processes for iOS projects, ensuring scalability, performance, and maintainability.
Hands-on iOS development using SwiftUI and UIKit, actively contributing to the codebase and conducting code reviews to ensure best practices are followed.
Conduct regular performance evaluations, provide constructive feedback, and identify areas for skills development and training within the iOS team.
Stay up-to-date with the latest trends and advancements in iOS development and bring innovative ideas and solutions to the team.
Act as a point of contact for clients or stakeholders, addressing technical queries, providing project updates, and managing expectations.

Position in our office at Jerusalem.
Requirements:
Bachelor's degree in Computer Science, Engineering, or a related field.
Minimum of 4 years of professional experience in iOS development, with a strong command of Swift and Objective-C.
Previous experience in a leadership role, such as a Tech Lead or Team Leader, overseeing iOS development projects and leading a team of developers.
Expertise in SwiftUI and UIKit frameworks, with a deep understanding of iOS development patterns, best practices, and performance optimizations.
Strong knowledge of iOS ecosystem, frameworks, and third-party libraries.
Excellent communication skills in English, both written and verbal. Proficiency in French is a plus.
Proven ability to multitask, prioritize work effectively, and meet project deadlines in a fast-paced environment.
Demonstrated problem-solving skills and a strong attention to detail.
A passion for staying up-to-date with emerging technologies and industry trends in iOS development.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
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03/08/2026
חברה חסויה
Job Type: Full Time
Who We're Looking For - The Team Lead & Architect Chargeflow is at the forefront of fintech + AI innovation. Our mission is to build a fraud-free global commerce ecosystem by leveraging the newest technology—freeing online businesses to focus on their core ideas and growth. We’re looking for an experienced Data Engineering / Software Team Lead to guide a high-performing team in designing, scaling, and operating the robust, cost-efficient infrastructure powering our platform. This role balances hands-on architectural leadership with people leadership , and will be a key driver of reliability, performance, security, and cost efficiency across our data systems. The impact you’ll have
* Build and evolve the data infrastructure that safeguards our clients’ revenue and powers critical product, ML, and analytics use cases.
* Establish scalable engineering standards and operational practices (reliability, security, governance, and cost efficiency).
* Lead and grow a team of data/infrastructure engineers while cultivating technical excellence and psychological safety. What you’ll own (Your arena) Leadership & Mentorship Lead, mentor, and scale a team of talented data and infrastructure engineers.
* Create strong execution rituals: clear ownership, high-quality delivery, feedback loops, and growth plans. Data Infrastructure & FinOps Own the architecture and evolution of our modern data stack and platform services.
* Drive cloud cost management (FinOps): cost visibility, optimization initiatives, and capacity planning. High-Performance Engineering Oversee the design of distributed systems, real-time streaming, and batch pipelines capable of processing millions of daily transactions with minimal latency.
* Define technical direction for storage, compute, and data movement patterns (event-driven + lakehouse). Operational Excellence Champion Infrastructure-as-Code (IaC), CI/CD, and testing practices for infrastructure and data systems.
* Establish observability standards (monitoring/alerting, SLOs, incident response, postmortems).
* Partner on security compliance and data governance across the R&D organization. Strategic Collaboration Act as the bridge between data engineering, product, data science, and core R&D teams to execute cross-functional initiatives.
* Translate business goals into platform roadmaps, milestones, and measurable outcomes.
Requirements:
What it takes (Must-haves) Experience: 6+ years in data platform engineering, data infrastructure, or backend engineering, including 2+ years leading/managing/mentoring engineers. Strong software engineering: Proficiency in Python (or similar) and modern practices (clean code, CI/CD, testing paradigms). Data architecture: Extensive experience architecting and operating scalable data lakes/lakehouses, distributed systems, and real-time event-driven architectures. Cloud-native & IaC: Experience with AWS, GCP, or Azure , plus Docker/Kubernetes and Infrastructure-as-Code (e.g., Terraform Databases & storage: Strong knowledge of relational (e.g., PostgreSQL ), NoSQL, and analytical databases, including performance optimization, schema design, and cost tuning at scale. Execution & delivery: Proven track record managing sprint planning, scoping technical projects, and delivering complex infrastructure roadmaps on time. Nice-to-haves Advanced data stack: Apache Iceberg (Lakehouse/S3/Glue), Apache Spark optimization, and big data processing. Streaming & messaging: Kafka, Kinesis, Flink, Kafka Streams. Modern tooling: Temporal/Dagster, dbt/DuckDB, Datadog/Grafana, Pydantic. FinOps & governance: Spot instances/savings plans and compliance frameworks (GDPR/PCI-DSS). About Chargeflow Chargeflow is a leading force in fintech innovation, tackling the pervasive issue of chargeback fraud that undermines online businesses. We’ve built an AI-driven solution to protect merchants’ revenue at scale. Backed by $4
This position is open to all candidates.
 
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