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5 ימים
Location: Ramat Gan
Job Type: Full Time
We are seeking an exceptional senior-level Python engineer to join a small team working on complex data pipelines, AI/ML systems, and cutting-edge software solutions.
This role will be responsible for managing technical objectives, providing technical leadership, and maintaining a hands-on approach to development. The ideal candidate will work closely across teams within as part of our business-facing technology organization.
A successful candidate will possess deep expertise in Python development, data engineering, software architecture, and design principles. They should be able to mentor junior team members, conduct code reviews, and drive architectural decisions. Experience with AI and large language models (LLMs) is highly desirable.
Requirements:
Master's degree or higher in Computer Science, Engineering, or a related technical field from a top-tier institution.
7+ years of experience as a Python developer, with a strong focus on data engineering and AI/ML systems.
Expert-level knowledge of Python and its ecosystem, including experience with data processing libraries like Pandas, NumPy, and PySpark.
Proficiency in designing and implementing scalable, maintainable, and efficient data pipelines.
Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
Expertise in version control systems (Git), CI/CD practices, and agile methodologies.
Strong communication skills with the ability to explain complex technical concepts to both technical and non-technical stakeholders.
Experience in the finance industry is a plus but not required.
Experience with AI/ML frameworks such as PyTorch, or scikit-learn, LLM, agents or systems of agents is a significant plus.
This position is open to all candidates.
 
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לפני 17 שעות
דרושים באומניטלקום בע"מ
מיקום המשרה: רמת גן
סוג משרה: משרה מלאה
אנחנו מחפשים הרבה יותר ממפתח backend או frontend סטנדרטי, אנחנו מחפשים AI Architect & Builder.
אם את/ה חי/ה ונושם/ת פיתוח בסביבת AI, בונה מערכות מקצה לקצה בעזרת כלי ה-AI המתקדמים ביותר (Cursor, Copilot, LLMs) ומבין/ה שבינה מלאכותית היא הליבה (Core) של המוצר ולא רק תוספת, המקום שלך איתנו.
אצלנו תקבל/י חופש פעולה מוחלט לבנות, להתנסות ולהשפיע על מוצר חי עם אימפקט מיידי, בסביבה שמעריכה מהירות פיתוח קיצונית, חשיבה מוצרית וארכיטקטורה חכמה.

מה תעשו בפועל?
- הובלה טכנולוגית מקצה לקצה: אחריות מלאה על ארכיטקטורת המערכת משלב ה-Design וה-Idea ועד ל-Production מלא.
- פיתוח מערכות AI מתקדמות: תכנון ומימוש של Agentic Workflows, מערכות RAG מורכבות ו-Chains המשפיעים ישירות על אסטרטגיית המוצר.
- Engineering Excellence: שילוב LLMs לתוך מערכות הליבה ( Python, Django) תוך פיצוח אתגרי Real-Time כגון ניטור, אופטימיזציית Latency וניהול עלויות בסביבות High-scale (שיחות טלפון, צ'אטים וטראפיק חי).
דרישות:
- ניסיון מוכח ב-Production AI: ניסיון מעשי בבניית מערכות מבוססות LLMs (עבודה עם APIs של OpenAI, Anthropic או מודלים מקומיים).
- ניסיון בפיתוח תוכנה : לפחות 5 שנות ניסיון בפיתוח (בדגש על Python ו/או Node.js ).
- שליטה ב-Stack ה-AI המודרני: ניסיון עם Vector Databases (Pinecone, Weaviate וכו') ועבודה עם פריימוורקים כמו LangChain או LlamaIndex.
- יכולת הובלה עצמאית: יכולת מוכחת להוביל פרויקטים לבד מהיום הראשון - משלב האפיון הטכני ועד לעלייה לאוויר.
- Product Thinker: הבנה עמוקה של צרכים עסקיים ותרגומם לארכיטקטורה חכמה ויציבה.

יתרונות משמעותיים:
- ניסיון עם Django, React או WebSockets.
- היכרות עם מערכות Voice / Telephony / Real-Time.
- ניסיון קודם בבניית פרויקטים עצמאיים (Side projects) מקצה לקצה. המשרה מיועדת לנשים ולגברים כאחד.
 
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5 ימים
חברה חסויה
Location: Ramat Gan
Job Type: Full Time
Required Senior Python Software Engineer
The Role:
Our group is responsible for building software enabling both the large-scale quantitative research operations that drive our platform and the production of our portfolio. The team is currently embarking on a multi-year journey to provide a powerful, scalable, and efficient platform to drive the firms next decade of growth. We are looking for someone who can own some of the unique technical challenges inherent in the problem and who can bring solid experience and perspective to the team.
Requirements:
A successful candidate will possess:
A minimum of 7 years of writing production-quality code in Python on Linux platform
Candidate must be willing to learn C++. Experience in C++ is a strong plus
Candidate must have strong interest and motivation to work with machine learning, deep learning, backtesting platform design and development technologies. Prior experience is not required but will be considered as a strong plus.
Strong understanding and experience with Linux system programming fundamentals
Ability to develop large-scale, distributed systems
Strong understanding of data structures, algorithms, high-performance application design, and concurrency patterns.
Self-motivated and able to work independently with minimal direction
Proficiency in English
An outstanding candidate will also have experience with one or more of:
Developing systems for managing and performing computation on large-scale graph data
Streaming / dataflow systems
Candidates need not have prior experience in financial services.
This position is open to all candidates.
 
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3 ימים
חברה חסויה
Location: Ramat Gan
Job Type: Full Time and Hybrid work
we are looking for a MLOps Team Lead.
As an MLOps Team Leader , you will own our AI infrastructure and backend engineering efforts, leading a team at the intersection of systems design and machine learning to build the engineering systems that turn Deep Learning and Computer Vision research into reliable, scalable production features.
What Youll Be Doing:
Lead MLOps Engineering: Own the roadmap and execution for a team of backend and AI infrastructure/MLOps engineers, setting technical direction, removing blockers, and holding the bar on delivery quality.
Build Production AI Systems: Design and implement production-grade, end-to-end AI solutions, including agentic workflows, that integrate Deep Learning models and Computer Vision algorithms into real features. Own the offline experimentation and validation layer, including POC environments that let the Algo team move from research to production confidently.
Architect Data Platforms: Drive the design and implementation of scalable data platforms and pipelines that power AI capabilities reliably and with an eye on cost and scale.
Cross-functional Collaboration: Work closely with the Algorithms and Data teams to tackle complex, real-world problems, translating research into shippable, maintainable systems.
Elevate Engineering Standards: Champion Software Engineering and System Design best practices across the group, introducing the right methodologies, tooling, and culture of craft.
Who You Are:
Requirements:
Professional Experience: At least 5 years of hands-on Software Engineering experience, with a minimum of 2 years in a team lead or managerial role.
Technical Proficiency:
Production Systems and DevOps: Proven experience building high-scale, production-grade systems on a cloud platform (AWS preferred), with solid command of DevOps practices including CI/CD, containerization, and observability.
Programming: Strong command of at least one programming language, with Python or Rust being a strong advantage.
AI/ML Systems: Solid understanding of the ML model lifecycle, including training, evaluation, deployment, and monitoring, with enough hands-on exposure to make good infrastructure decisions around it. Experience with TensorFlow, PyTorch, or Computer Vision concepts is an advantage.
AI-Augmented Development: Hands-on experience integrating AI coding tools into engineering workflows, with a genuine interest in expanding their use across the team.
Data Engineering: Hands-on experience with data pipelines and big data infrastructure.
Leadership and Mindset:
Engineering Quality: You hold a high bar for correctness, reliability, and maintainability, and you treat quality as a first-class engineering concern, not something retrofitted at the end of a sprint.
Team Builder: A people-first approach to leadership. You coach, you unblock, and you build psychological safety alongside technical excellence.
Engineering Judgment: A strong ability to self-learn, cut through ambiguity, and land well-reasoned technical decisions under pressure.
This position is open to all candidates.
 
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03/08/2026
חברה חסויה
Location: Ramat Gan
Job Type: Full Time
We are looking for a highly skilled and motivated Software Team Lead to drive the technical direction of our development team while maintaining a substantial hands-on contribution. This role involves leading the team, hiring top talent, and ensuring the successful delivery of high-quality software solutions.
Responsibilities:
Technical Leadership: Guide the team in designing, developing, and maintaining robust cybersecurity solutions using Golang, C#, and Python.
Hands-On Development: Write high-quality, scalable, and secure code (50% of the time).
Team Management & Growth: Hire, mentor, and grow a team of talented engineers to build innovative cybersecurity products.
Code Reviews & Best Practices: Ensure high code quality through reviews, technical mentorship, and the enforcement of best practices.
Collaboration: Work closely with product managers, security researchers, and other stakeholders to define and deliver features.
Technical Roadmap: Contribute to architectural decisions and shape the future of the company's technology stack.
Requirements:
7+ years of software development experience, with expertise in at least one of the following: Golang, C#
1-2 years of experience leading a team or mentoring developers in a fast-paced environment.
Strong problem-solving skills and ability to work in a dynamic startup environment.
Experience with secure coding practices and familiarity with cybersecurity concepts is a plus.
Ability to recruit, onboard, and develop engineering talent.
Excellent communication and leadership skills.
Nice to have:
Experience with cloud platforms (AWS, Azure, GCP).
Knowledge of networking and cybersecurity principles.
Familiarity with DevOps and CI/CD pipelines.
This position is open to all candidates.
 
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20/08/2026
חברה חסויה
Location: Ramat Gan
Job Type: Full Time and Hybrid work
We are looking for an experienced Data Infrastructure Team Lead to lead our Data Infrastructure team. In this role, you will have formal people-management responsibility for a multidisciplinary team that builds, productionizes, and improves big data and analytics infrastructure. You will be responsible for team delivery, combining technical depth, agile leadership, and an AI-first mindset to help the team build reliable systems, improve how it works, and continuously raise its engineering standards.

Location: Ramat Gan (Bursa area), Israel - Hybrid model

What will you do?

Lead, manage, and develop a data infrastructure team of approximately 5-7 people.
Take responsibility for team delivery, including planning, prioritization, execution, and continuous improvement.
Lead agile ways of working, including scrum-based delivery practices.
Guide the design, productionization, and ongoing improvement of big data and analytics infrastructure.
Partner closely with cross-functional stakeholders across technical, scientific, and business interfaces.
Help the team adopt AI-first engineering practices, including automation and AI-assisted development workflows.
Drive improvements in team processes, technical quality, delivery predictability, and collaboration.
Support architectural and technical decisions across cloud infrastructure, data pipelines, orchestration, and production systems.
Create an environment where team members can grow, contribute, and improve together.
Requirements:
Required qualifications:
5+ years of experience leading data engineering, data infrastructure, or related engineering teams, of 5+ people - a must.
Strong technical background in data infrastructure, cloud computing, and production systems - a must.
Hands-on experience with data warehousing tools such as Snowflake or BigQuery, and data pipeline orchestration tools such as Dagster or Apache Airflow - a must.
Experience developing in Python.
Experience productionizing big data, analytics, or data platform infrastructure
Experience leading agile teams and working with scrum methodologies
Demonstrated ability to lead multidisciplinary teams and collaborate effectively across interfaces.
Track record of helping teams improve how they work, including process improvement, automation, technical quality, or delivery practices.
Strategic mindset with the ability to connect technical decisions to team and business goals.
Strong English communication skills, written and spoken, for working with an international and multilingual team.

Preferred qualifications:
Experience working in a scientific domain.
Experience in biotech, immunology, life sciences, or another biology-adjacent domain.
Experience with agentic AI concepts, tools, or development patterns.
Experience helping software or data engineering teams transition toward AI-first development processes.
Familiarity with modern automation practices across engineering workflows, infrastructure, and delivery pipelines.

Desired personal traits:
AI-first and automation-oriented mindset.
Strong people's leadership instincts and a genuine drive to help others improve.
Collaborative, clear, and thoughtful communication style.
High ownership, good energy, and comfort operating across disciplines.
Curious, pragmatic, and able to balance strategy with hands-on technical judgment.
This position is open to all candidates.
 
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02/08/2026
Location: Ramat Gan
Job Type: Full Time
As the Software Group Lead, you will be the primary architect and execution lead for a cutting-edge missile interceptor system. This is a high-stakes executive role requiring a rare blend of low-latency embedded engineering and high-level Command & Control (C2) orchestration. You will be responsible for building a multi-disciplinary software team from the ground up, defining the software lifecycle, and ensuring the seamless integration of missile subassemblies with ground-based mission control.
We are looking for a "builder" mentality, capable of switching between high-level architectural strategy and driving end-to-end delivery from concept to field deployment.
Why Join us?
This is a unique opportunity to be at the heart of a defense-tech startup during its most exciting growth phase!
The SW Group Lead will report directly to the CTO and act as a member of the company's leadership.
Responsibilities
Team Leadership: Recruit, mentor, and manage a high-performance team of embedded, full-stack, and GNC (Guidance, Navigation, and Control) engineers.
System Architecture: Design the end-to-end software stack, from real-time operating systems (RTOS) on the interceptor to the distributed microservices of the ground station.
Execution & Integration: Oversee the development of flight software, sensor fusion algorithms, and secure communication protocols between the interceptor and C2.
AI-Driven SDLC: Implement and champion the use of modern AI coding tools (GitHub Copilot, Cursor, Claude Code, etc.) across the entire software lifecycle to accelerate development cycles without compromising safety-critical standards.
Strategic Oversight: Align software milestones with hardware integration, testing phases (HIL/SIL), and field trials.
Key Interfaces: Works closely with Hardware Engineering leads (mechanical, electrical, GNC), Program Management, and Systems Engineering teams internally; externally interfaces with defense customers, government program offices, and key technology vendors.
Requirements:
Embedded & Flight Systems
Expertise in C/C++ for hard real-time environments.
Deep experience with RTOS.
Understanding of subcomponent algorithms and implementation in embedded HW.
Hands-on experience with communication bus protocols: CAN bus, MIL-STD-1553, SPI, and Ethernet.
Ground Station & C2 (Command and Control)
Architecture of distributed systems for mission monitoring and threat evaluation.
Implementation of low-latency data visualization and geospatial situational awareness.
Expertise in secure, jam-resistant RF data links and network protocols.
Experience deploying distributed systems on containerized environments (Kubernetes, Docker) for scalable mission-critical workloads.
Modern AI & Software Tooling
AI Mastery: Proven track record of adopting AI agentic tools to modernize legacy systems, document complex architectures, and create a rapid delivery environment.
DevOps for Defense: Implementation of CI/CD pipelines tailored for embedded systems, including automated Hardware-in-the-Loop (HIL) testing.
System-Level Integration
Experience with Sensor Fusion (Radar, EO/IR, IMU) and target tracking.
Knowledge of cybersecurity frameworks for defense-grade software (e.g., MISRA C/C++).
Qualifications
Experience: 8+ years in software engineering, with at least 3 years in a leadership role within the aerospace, defense, or robotics sectors.
Project History: Direct experience in the development of UAVs, missiles, or autonomous kinetic systems.
Education: B.Sc./M.Sc. in Computer Science, Aerospace Engineering, or Electrical Engineering.
This position is open to all candidates.
 
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Location: Ramat Gan
Job Type: Full Time
We are hiring a Senior Software Developer to lead the development of our internal malware research platform. This is a senior, hands-on role with end-to-end ownership of development and delivery. You'll be the technical authority - setting code-quality standards, making the architecture calls, and mentoring the developer team.
What makes this role different is who you build for. Our users are our malware researchers, and they use the tool every day. Your job is to sit beside them, learn how they actually work, surface the heuristics and edge cases they carry in their heads, and build agentic tooling that compounds their productivity. The bar isn't "does it ship" - it's "do the researchers reach for it every day." Success is measured in researcher adoption and time saved, not features merged.
Agentic workflows are core to how we build. You should be fluent using them and confident designing systems where agents run in production - with clear judgment about where an agent earns its keep versus where deterministic code or a human-in-the-loop is the right call.
What You'll Do:
Lead development and delivery:
Own technical execution end-to-end: implementation, code review, and release.
Translate research workflows and feature requests into well-scoped tasks with realistic, risk-aware estimates the team can plan against.
Manage day-to-day execution: unblock people, sequence work, catch problems early.
Set and defend the technical bar: review rigor, testing discipline, documentation, architectural consistency.
Partner with the researchers - and amplify them:
Embed with malware researchers to understand their workflow and capture the tacit knowledge and edge cases no spec ever wrote down.
Translate that knowledge into reliable agentic tooling - and know when an agent is confidently wrong before it ever reaches a researcher.
Spend roughly 5-10% of your time doing actual malware research (with structured onboarding) to stay close to how the tool is used.
Be willing to tell a researcher when a proposed workflow won't automate well - and explain why.
Be the technical authority and mentor:
Make the hard architecture and design trade-off calls.
Mentor through code review, pairing, and design discussions. Raise the level of everyone around you.
Dive deep on the critical, difficult features and bug fixes yourself.
Design agentic workflows into the architecture from the start, and build the evaluations and guardrails that keep them trustworthy.
Requirements:
Must-have:
5+ years of software development experience, with a track record of delivering products to production - not just prototypes or POCs.
Strong Python, including async (asyncio), modern typing, and a disciplined testing approach (pytest).
Hands-on Playwright experience in production - not one-off scripts.
Production experience with agentic workflows: building, deploying, and operating LLM-powered systems that plan, call tools, and execute multi-step tasks - using a modern agent framework (e.g., LangGraph, the Anthropic Claude Agent SDK, the OpenAI Agents SDK, or DSPy).
Experience building evaluations and guardrails to measure agent quality and catch regressions before they reach a user (e.g., MLflow GenAI evaluation & tracing, LangSmith, or Braintrust).
Proven experience leading development efforts: estimation, task breakdown, code review, and mentoring.
Experience building tools used internally by expert users (vs. external end-user products), or a clear instinct for the difference.
Nice to have:
Background in cybersecurity, malware research, threat intelligence, or an adjacent security domain.
Experience with reverse-engineering tools, sandboxes, or malware-analysis pipelines.
RAG and retrieval pipelines (indexing, reranking, grounding) and a vector store (e.g., pgvector).
Cloud-native infrastructure (AWS, Kubernetes), containers (Docker), CI/CD (GitHub Actions), and observability stacks (OpenTelemetry, Grafana / Coralogix or equivalent).
This position is open to all candidates.
 
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חברה חסויה
Location: Ramat Gan
Job Type: Full Time
We are looking for a Deep Learning Tech Lead for Objects Modeling, who will be challenged by solving real-world problems using Computer Vision. Our mission in the algorithms department has a significant impact on autonomous vehicle technologies, external customers, and advanced driver-assistance systems (ADAS). In this role, you will be responsible for the full cycle of deep learning R&D, including modeling new solutions and enhancing the performance of existing ones. Your responsibility will include design, implementation, guidance and mentoring for team members. You will leverage your extensive experience to lead multiple deep projects, and will be a key figure in leading successful execution and in finding creative solutions to difficult bottlenecks, across data, AI, engineering and product considerations.
This role requires working at our Jerusalem offices 1 day per week.
What will your job look like:
Lead the design, development, and implementation of accurate and robust AI algorithms for new projects
Research the latest advancements in deep learning, multi-task learning, AI architectures, and apply them to enhance our algorithm
Design, develop and implement deep learning algorithms to solve complex problems in computer vision
Take ownership of deep learning projects: Design solutions, oversee execution, and collaborate with talented Algorithm developers
Collaborate with cross-functional teams to understand requirements and develop solutions.
Requirements:
Advanced degree (M.Sc. or Ph.D) in Computer Vision, Deep Learning, or Machine Learning
3+ years of experience in developing deep learning algorithms
Knowledge of C++
Experience with deep learning frameworks such as TensorFlow, Keras, and PyTorch
Hands-on experience working with LLMs (e.g., for data generation, augmentation, or labeling) - Advantage.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8763342
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דיווח על תוכן לא הולם או מפלה
מה השם שלך?
תיאור
שליחה
סגור
v נשלח
תודה על שיתוף הפעולה
מודים לך שלקחת חלק בשיפור התוכן שלנו :)
4 ימים
חברה חסויה
Location: Ramat Gan
Job Type: Full Time and Hybrid work
Were looking for an experienced, highly motivated Backend Team Lead to join our Ads group and lead a team of talented senior backend developers responsible for developing and maintaining a high-traffic, low latency microservices-based system.

Responsibilities
Lead, mentor, manage and inspire a diverse agile team of backend developers across different locations, alongside hands-on coding.
Actively participate in the design, development, and maintenance of backend systems and applications while analyzing business requirements to create scalable, high-performing, and testable solutions.
Collaborate closely with product managers, client developers, scrum masters, and other stakeholders to deliver high-quality solutions.
Effectively manage and integrate the contributions of a full-stack web developer within the backend teams scope.
Requirements:
Requirements
At least 3 years of experience as a team leader.
At least 8 years of hands-on experience in server-side development.
At least 2 years of hands-on experience with Go lang.
Proven experience in developing large-scale systems using cloud services and NoSQL databases (such as GCP orand AWS, Couchbase).
Experience with microservices architecture, Docker, and container. orchestration (e.g., Kubernetes) & CI/CD.
Experience with Agile methodology.
Ability to quickly understand complex systems and drive solutions.
Fluent in written and spoken English.
Excellent spoken and written communication skills.
Availability to work in a hybrid model - at least 3 days a week from the office.

Advantages
Direct experience with Ad Tech platforms (DSPs, SSPs, Ad Exchanges).
Experience with Vue.js or similar frontend frameworks.
Experience with Java.
Familiarity with observability tools and practices.
Experience working with remote teams.
Advanced knowledge of unit testing frameworks and mocking.
B.Sc. in Computer Science or equivalent.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8798000
סגור
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סגור
דיווח על תוכן לא הולם או מפלה
מה השם שלך?
תיאור
שליחה
סגור
v נשלח
תודה על שיתוף הפעולה
מודים לך שלקחת חלק בשיפור התוכן שלנו :)
לפני 13 שעות
חברה חסויה
Location: Ramat Gan
Job Type: Full Time
Were seeking a Solutions Engineer Manager who thrives in fast-paced, customer-facing environments and enjoys leading high-performing engineering teams, delivering complex enterprise integrations, and turning custom technical solutions into scalable, repeatable processes.
About the role
Our delivery org is scaling fast. Customers are getting larger and more global, and the number and complexity of delivery projects is growing with them.
We're hiring a Solutions Engineer Manager to lead the engineers who build the two-way integrations connecting our company's agents to our customers' enterprise systems - and to turn that work from a series of custom projects into a repeatable engine.
Where you own and where you partner. Technical Project Managers own the project plan and the customer-facing schedule. You own the execution: the estimates your team commits to, the quality of what ships, and the health of what runs in production. When a date is at risk, the TPM manages the customer conversation; you own the engineering path back to green.
How the team grows. You'll lead and hire a team of 4-8 Solutions Engineers. Within your first year we expect the charter to broaden into DevOps and product-adjacent engineering, and we expect you to define that team and hire it. If you want to build an org rather than inherit one, this is the job.
This is a Tel Aviv-based role, with travel to our US office and to global customers.
‍What you'll own
The team
Hire, coach, and grow the Solutions Engineering team - then expand it into DevOps and dev hires as the charter widens
Run the day-to-day: capacity allocation across concurrent projects, escalation triage, on-call rotation, 1:1s, and growth plans
Raise the skill ceiling of every engineer who reports to you
Execution
Stand behind your team's estimates - and hit them
Own the quality of shipped integrations and the health of production environments; keep escalations that reach our company personnel low
Build reproducible playbooks so each implementation costs less than the last
Feed engineering reality into TPM and Solutions Architect planning for POCs and production rollouts
Customers
You are not the account owner. You're in the room for four things: consultation, architecture planning, execution excellence, and timelines.
Advise across the full stakeholder range - from the engineers your team integrates with, to their engineering managers, up to directors, VPs of Engineering, and CIOs
Lead architecture planning with customer technical teams: what we'll build against, what their systems can actually support, and where the risk sits
Speak to execution and timelines with authority - what's committed, what it depends on, and what changed. The depth adjusts to the audience; the answer doesn't.
Be the technical voice customers trust when the question is can this actually work
Technical bar
Your engineers will go deeper than you in specific areas. You need enough depth to review their work, make architecture calls, and interview well across all of it.
Large-scale resilient two-way integrations against custom enterprise APIs - queues, retries, idempotency, race conditions, rate limits and quotas
Designing and consuming APIs for enterprise customers. Required knowledge: Protocols (REST, GraphQL), API security & authentication, architecture (polling, webhooks, pagination). Knowledge of best practices for market integrations
Cloud deployments at scale - CI/CD, observability, and running on-call for an independent team. Enough infrastructure judgment to hire DevOps engineers, not just work alongside them.
A plus: on-prem environments; AI, LLM, and knowledge-pipeline engineering; building products and processes under data-protection regulation.
דרישות:
Crazy personal drive. Be a bulldozer.
Insatiable creativeness. Be a big dreamer.
You've led an engineering team to predictable delivery - stable output, dates that hold
You turn one-off solutions into repeatable process by i המשרה מיועדת לנשים ולגברים כאחד.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8801940
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