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לפני 16 שעות
Location: Tel Aviv-Yafo
Job Type: Full Time
the company harnesses the power of ai to transform how revenue teams win. the company revenue ai operating system unifies data, insights, and workflows into a single, trusted system that observes, guides, and acts alongside the worlds most successful revenue teams. powered by the company revenue graph, ai-powered intelligence, specialized agents, and trusted applications, the company helps more than 5,000 companies around the world deeply understand their teams and customers, automate critical sales workflows, and close more deals with less effort. for more information, visit company.
at the company, you will join a company built on innovative products, ambitious goals, and passionate people. we are shaping the future of revenue intelligence and we want people who are excited to build what comes next. you will work with a team that dreams big, moves fast, and cares deeply about the craft and about each other. here, transparency and trust are core to how we operate, and every person has the opportunity to make a visible impact. if you want to grow, stretch, and do work that truly matters, the company is the place to do the best work of your career.
as an application infrastructure team lead, youll spearhead the development of the core frameworks and services that power our entire ecosystem. in this role, youll sit at the vital intersection of application development and systems engineering, ensuring our platform remains resilient, high-performing, and Developer -friendly as we scale.
if you are a technical heavyweight who loves JAVA but thrives on leading teams through complex data and infrastructure puzzles, this is your opportunity to build the foundation for our next phase of growth.
youll own:
team leadership & mentorship: guiding a high-performing engineering team and fostering a culture of ownership and excellence.
core application infrastructure: designing and maintaining mission-critical frameworks using JAVA and spring boot.
technical standards: defining and enforcing the benchmarks for code quality, system performance, and security across the entire stack.
streaming & messaging pipelines: owning the reliability and scalability of asynchronous communication using kafka or sqs.
youll solve:
data layer optimization: leading specialists to tackle challenges in high availability and performance across postgresql, mongodb, opensearch, and redis.
distributed systems complexity: designing robust pipelines for asynchronous communication and data streaming at scale.
architecture gaps: bridging the gap between DevOps and product teams to align infrastructure capabilities with evolving business needs.
youll impact:
engineering velocity: providing the foundational building blocks that empower all product engineering teams to build faster and better.
system reliability: ensuring the high availability, scalability, and security of mission-critical systems.
technical culture: driving a mindset of continuous improvement and technical excellence that resonates across the r&d organization.
דרישות:
how youll succeed here:
you are a seasoned leader with 8+ years of hands-on technical experience, with at least 2+ years of experience leading engineering teams in a fast-paced environment.
you have deep, hands-on experience with JAVA & spring boot, building complex, large-scale server-side applications (this is a must).
you possess deep knowledge in at least one of the following: postgresql, opensearch, redis, mongodb, sqs, or kafka, and you know how to lead engineers to get the best out of these tools.
you are highly proficient with aws services and understand how to leverage cloud infrastructure to build resilient systems.
you can see the big picture, balancing the need for immediate delivery with long-term architectural health and scalability.
you excel at communicating complex technical concepts clearly to both technical and non-technical stakeholders and at building consensus across tea המשרה מיועדת לנשים ולגברים כאחד.
 
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18/10/2026
Location: Tel Aviv-Yafo
Job Type: Full Time
Required Staff Engineer - Office of the CTO
As a member of the Office of the CTO, your mission is to make every engineer 10x more effective. You will be a central driver in reimagining our Software Development Lifecycle (SDLC), building the intelligent platforms, automated golden paths, and AI-powered tools that will fundamentally change how we build software. This is a rare opportunity to have a massive, force-multiplying impact on our entire R&D & Product organizations, building the systems that enable hundreds of engineers to innovate faster and deliver with exceptional quality. The role is based in our Tel Aviv office.
Key Responsibilities:
Shape the Software Factory: Act as a key thought leader in shaping our Software Factory - the agentic workflows and loops that carry work from idea to production. You will research, prototype, and build the agents, harnesses, and tools behind them, and define the governance, controls, and standards that keep the factory predictable and safe at scale.
Build the Platform Beneath It: The factory only runs on solid foundations, and the Office of the CTO owns them. You will take a hands-on role in building and scaling the shared infrastructure every agentic workflow depends on - our AI gateway, shared memory and context graphs, guardrails, and the golden paths that abstract this complexity away from the teams using it.
Make Quality Automatic: Turn those standards into enforcement - automated gates in our CI/CD pipelines, evaluations and guardrails for agent-generated work, and the telemetry that tells us whether the factory is actually producing better outcomes. Quality, testing, security, and reliability become the default, not the exception.
Drive Adoption & Foster Community: Champion the tools you build. You will create documentation, lead workshops, and act as an internal advocate for your users, turning their feedback into the next iteration. You will also mentor and guide builders across R&D and product - in Tel Aviv and across our global sites - helping to foster our AI-native culture.
Requirements:
We are looking for a Swiss Army knife - a passionate, high-impact engineer who thrives on solving complex challenges and building leveraged solutions.
Your Mindset & How You Work:
You Have a Builders Mentality & Deep Ownership: You have a deep-seated need to build and fix things. You dont just identify problems; you roll up your sleeves, take full ownership of the outcome, and follow through until you see a measurable impact.
You are Customer-Obsessed: You are driven to understand the developers workflow, identify their friction points, and build tools they love. A sloppy process or a broken tool genuinely bothers you because you know it impacts your customer.
You are a Collaborative, Low-Ego Influencer: You thrive on partnership. You know how to influence decisions and bring people along with you, working across teams to drive change with humility and a focus on the shared goal.
You are a Self-Starter Who Drives Change: You dont wait to be asked. You proactively identify opportunities, start initiatives, and drive them end-to-end. You see change as an opportunity and push forward despite ambiguity.
Your Experience & Qualifications
Experience & Leadership: 10+ years of software engineering experience, with a proven track record in a Staff, Principal, or architectural leadership role. You have strong architectural depth and experience shaping the technical direction of complex, cross-team projects.
Agentic Engineering & AI Workflows: You have hands-on experience researching, architecting, and building agentic workflows, autonomous systems, and AI-driven development loops. You are fluent in leveraging modern agentic platforms and developer tooling to drive full-stack engineering automation.
Systems Architecture & Design: Deep expertise in designing distributed, composable, and extensible systems. You have a strong understanding of modern development stacks
This position is open to all candidates.
 
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Location: Tel Aviv-Yafo
Job Type: Full Time
Required Senior Software Engineer, Cloud Datastream and Database Migration Service
About the job
Our software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to our needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
The Control & Connect (C&C) team builds the core infrastructure powering our DMS and Datastream. We own the mission-critical Control Plane and Data Movement Infrastructure that allows enterprise customers to seamlessly migrate and replicate their databases at massive scale.
As a Senior Software Engineer, you will design and build the core infrastructure that enables enterprise customers to replicate and migrate their databases. You will address distributed systems issues involving stateful microservices, intricate multi-region architectures, and high-throughput data pipelines. Operating in a collaborative environment, you will guide the technical design of new features, improve system reliability, and mentor fellow engineers. Our team is also pioneering AI-assisted engineering operations, giving you the opportunity to shape how we use generative AI to accelerate development, improve testing, and reduce operational toil.
Responsibilities
Design and implement resilient, multi-step long-running operations and manage orchestration workflows on our cluster management systems.
Drive architectural improvements to decouple systems, manage service overload, and integrate seamlessly with various Cloud services like AlloyDB, Cloud SQL, and BigQuery.
Take end-to-end ownership of ambiguous technical challenges, translating complex requirements into concrete architectures and maintaining high engineering standards through design and code reviews.
Identify and eliminate operational toil, including contributing to the team's custom AI agents to automate release pipelines and streamline on-call workflows.
Requirements:
Minimum qualifications:
Bachelors degree or equivalent practical experience.
5 years of experience with large-scale infrastructure software development coding in one or more general purpose programming languages.
3 years of experience in designing, investigating, and troubleshooting distributed systems.
2 years of experience in a technical leadership role.
Preferred qualifications:
Master's degree or PhD in Computer Science or related technical fields.
5 years of experience in data structures and algorithms.
Experience with databases and data processing pipelines
Knowledge of enterprise networking and AI systems and tools.
Strong track record of solving complex problems, thriving in ambiguity and change and achieving significant impact.
This position is open to all candidates.
 
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לפני 17 שעות
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
at the company, we are transforming how businesses understand and navigate the digital world.
our cutting-edge data and solutions empower over 5,000 customers worldwide-including industry leaders like google, ebay, and adidas-to make strategic, data -driven decisions.
since going public on the new york stock exchange in 2021, weve continued to push the boundaries of innovation.
join a global team of bright, curious, and driven professionals shaping the future of digital intelligence.
about the role
we are looking for a senior DevOps engineer who thrives in high-scale, high-performance environments. in this role, you will design and manage mission-critical infrastructure, develop automation tools, and ensure the reliability and scalability of the company's platform. you will work closely with engineering teams to optimize performance, enhance observability, and prevent incidents before they happen.
if you love solving complex infrastructure challenges and building tools that empower engineers, this role is for you!
what will you do?
as a senior DevOps engineer at the company, you will:
design, build, and maintain a highly available, scalable, and resilient production infrastructure handling millions of requests per second.
manage and optimize tens of aws accounts in a multi-account cloud environment.
developing ai-driven automation frameworks and tools that more than 400 r&d engineers use while enhancing system reliability and engineering efficiency.
design, implement, and support the llm and agentic workflow infrastructure, ensuring its scalability and reliability.
manage thousands of servers and containers, ensuring seamless infrastructure operations.
improve and maintain our logging, monitoring, and alerting stacks for enhanced observability.
troubleshoot and mitigate production incidents, participating in on-call rotations to ensure system health and stability.
collaborate with engineering teams to optimize performance, reduce latency, and improve deployment processes.
why join us?
work with a globally recognized, publicly traded company shaping the digital landscape.
own critical infrastructure and directly impact the company's reliability and scalability.
work on cutting-edge technologies and solve complex production challenges.
enjoy a collaborative, innovation-driven environment where your work makes a difference.
if youre excited about scaling infrastructure, building automation, and ensuring the reliability of large-scale systems, wed love to hear from you!
we will handle your application and information related to your application in accordance with the applicant privacy policy available here.
Requirements:
what will you bring to the team?
5+ years of experience in building and maintaining production infrastructure at scale.
5+ years of experience in developing automation tools and server-side applications using Python, go, ruby, JAVA, or Node.js.
strong cloud experience with aws, google cloud, or similar platforms.
experience with the deployment, management, and leveraging of large language models (llms) and agentic infrastructure.
deep knowledge of Linux systems, including troubleshooting, architecture, and system internals.
solid understanding of web servers, load balancers, caching systems, relational databases, and networking.
a proactive, problem-solving mindset with a passion for optimizing infrastructure and ai-driven automation.
This position is open to all candidates.
 
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21/10/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We are looking for a Data Products Engineer to take full ownership of our internal product suite - the full-stack applications, AI agent tools, and automation pipelines that power teams across the entire company every day. You will step into an established ecosystem and take the reins. Your mission is to maintain, evolve, and build the next generation of these internal tools so every department can move faster and make smarter, data-driven decisions.

Reporting directly to the VP of CS & Data, this is a high-autonomy, tech-lead role. You wont just write code; you will make architectural decisions, solve complex domain challenges with smart software, and shape how the entire company interacts with data.

How will your day-to-day look?
Own the Internal Product Suite: Lead the development of our core full-stack applications. You will build and scale the central platforms and dashboards that give Product, CS, Sales, and executive leadership visibility into product usage, account health, business performance and more.
Advance the Internal AI Layer: Design, deploy, and refine custom agentic AI workflows - enabling teams across the organization to query complex B2B and product data naturally and conversationally.
Engineer Smart Automations: Architect workflow automations and custom APIs that pipe downstream data directly into the operational tools our teams use every day.
Bridge Data and Software: Partner seamlessly with Data Ops and Data Analysts to transform raw data models into highly usable, intuitive user interfaces and automated actions.
Run the Infrastructure: Own the end-to-end DevOps lifecycle for our internal applications, managing deployment, containerization, observability, and CI/CD pipelines.
Drive Technical Strategy: Act as the technical anchor for internal tools. You will translate high-level product and business challenges from company leaders into shipped, reliable software.
Requirements:
What you'll need to thrive in this role
Full-Stack Software Engineering Expertise: Demonstrated track record of delivering end-to-end products with strong proficiency in React and Next.js..
Hands-on AI Agent Development: Practical experience leveraging tools like Claude Code, Codex, or Cursor, paired with a solid grasp of agentic infrastructure, custom tooling, and MCP server integrations.
Solid understanding of data concepts: (SQL, familiarity with data warehouses like BigQuery/Snowflake).
DevOps & Infrastructure fluency: Familiarity with Docker, CI/CD pipelines, Cloud Run (or equivalent serverless execution environments), and API workflow orchestration tools (like n8n or Zapier).

Mindset & Execution
"Builder" Energy: You bring a proactive, hands-on approach to your work. You prioritize shipping high-value, functional tools to solve problems quickly, rather than waiting for ready-made PRD docs or perfect specifications. You prefer building and iterating to drive progress and impact.
Business & Product Curiosity: You care about why a tool is being built and how teams across Product, GTM, and Operations will use it to make better decisions and drive business value.
Architectural Judgment: You can hold complex system integrations in your head, understand how web apps and AI services interact with data layers, and choose simple, resilient solutions over over-engineered ones.
High Ownership: High autonomy. You are comfortable running your own priorities, communicating trade-offs to executives, and guiding the technical direction of internal software.
Bonus points if you have
Hands-on experience building or tuning LLM/AI agent workflows, prompt architecture, or MCP servers.
Experience developing internal tooling, data products, or SaaS features for Product, Revenue Operations, or GTM teams.
Exposure to self-hosted tools like Metabase, LibreChat, or n8n.
This position is open to all candidates.
 
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25/10/2026
Location: Tel Aviv-Yafo
Job Type: Full Time
We are looking for a Staff Engineer to join our Core Engineering group. The group is responsible for the real-time, low-latency infrastructure that powers our fraud decisions and external APIs.
Our systems process billions of requests every day, ensuring high availability, security, and performance at global scale.
In this role, youll work on core backend components such as our decision engine, ingestion and enrichment pipelines, schema management systems, and self-serve API platform. The software you build will power critical business decisions and directly serve some of the worlds largest merchants.
This is a high-impact, high-ownership position for an engineer who thrives on solving complex distributed systems challenges, cares deeply about production-grade quality, and wants to shape the foundation of our decisioning platform.
What you'll be doing:
Design, build, and scale backend systems that power our real-time decisioning and APIs.
Own projects end-to-end - from design and implementation to production rollout and monitoring.
Ensure systems are low-latency, fault-tolerant, and high-throughput across distributed environments.
Enhance observability, reliability, and developer experience through strong operational and tooling practices.
Collaborate with Product, analysts, data scientists, and infrastructure teams to drive innovation across our decision ecosystem.
Participate in technical discussions and customer interactions, providing expertise and clear communication when supporting enterprise integrations.
Requirements:
What you'll need:
10+ years of experience building backend systems in large-scale production environments, with at least 2 years as a Staff Engineer or equivalent level
Strong programming skills in Python, Java, Kotlin, or Node.js
Hands-on experience with cloud-native technologies (AWS, Kubernetes, Docker)
Proven ability to design and maintain high-scale distributed systems
Strong sense of ownership, autonomy, and accountability
Excellent communication skills, with the ability to explain complex systems clearly to both technical and non-technical audiences - including direct collaboration with customers worldwide
It'd be cool if you also have:
Experience with API Gateway architectures, schema/versioning strategies, or platformization efforts
Familiarity with real-time data processing frameworks (e.g., Flink, Storm) and resilience patterns
Background working alongside data science or machine learning teams
Contributions to developer platforms, infrastructure services, or internal tools improving engineering velocity.
This position is open to all candidates.
 
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חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
we are looking for a Senior AI Engineer to design and build production-grade, LLM-powered systems. You'll work at the intersection of software engineering and applied AI - shipping agents, RAG pipelines, and tool-using systems that solve real problems at scale. This is a hands-on, high-ownership role for someone who thrives at the frontier of what's possible with modern LLMs and isn't afraid to write the glue, the infrastructure, and the prompts that make it all work.
This is a **cross-functional, company-wide role**. You won't be embedded in a single product team - instead, you'll partner with every department to identify high-leverage opportunities and build AI-powered tools and workflows that boost productivity and efficiency across the entire organization.
This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence.
"our company's data management vision is the future of the market."- Forbes
we are the data platform company for the AI era. We are building the enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets and make them available for real-time data analysis and AI training and inference. Designed from the ground up to make AI simple to deploy and manage, our company takes the cost and complexity out of deploying enterprise and AI infrastructure across data center, edge, and cloud.
Our success has been built through intense innovation, a customer-first mentality and a team of fearless company ronauts who leverage their skills & experiences to make real market impact. This is an opportunity to be a key contributor at a pivotal time in our companys growth and at a pivotal point in computing history.
What You'll Do:
- Design, build, and operate LLM-powered applications, agents, and workflows end-to-end - from prototype to production.
- Architect retrieval, context engineering, and tool-use strategies that make models reliable, accurate, and cost-efficient.
- Integrate LLMs with internal services, third-party APIs, and data stores to automate complex business and engineering workflows.
- Build, evaluate, and continuously improve evaluation harnesses for non-deterministic systems.
- Collaborate closely with product, research, and platform teams to translate ambiguous problems into shipped capabilities.
- Stay ahead of the rapidly evolving LLM ecosystem (models, frameworks, agentic patterns) and bring the best ideas into our stack.
Requirements:
Engineering Foundations:
- Strong Python skills- you write clean, idiomatic, well-tested code and understand the language deeply.
- Hands-on experience using coding agents(Cursor, Claude Code, GitHub Copilot, or similar) to build complex software systems. You know how to delegate effectively to AI assistants and review their output critically.
- Experience with multiple database paradigms- both SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Redis, DynamoDB, or similar). You can choose the right tool for the job.
- Experience designing and integrating with third-party APIs- REST and gRPC. Comfortable building robust clients, handling auth, retries, rate limits, and schema evolution.
- Production experience with Docker and Kubernetes- containerizing services, writing manifests, and debugging deployments.
- Strong Linux fundamentals- confident in bash and the terminal; you can navigate, script, and troubleshoot a server without reaching for a GUI.
- Experience building cloud-native tools on AWS, GCP, or Azure (compute, storage, queues, serverless, IAM).
AI / LLM Expertise:
- Solid understanding of what an LLM is and how it works- tokenization, attention, context windows, sampling, and the practical implications of each for system design.
This position is open to all candidates.
 
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Location: Tel Aviv-Yafo
Job Type: Full Time
Were looking for an experienced Team Leader who wants to make a foundational impact on the engine that powers cloud security platform.
Our Stack: Python, AWS, Kafka, Redis, SQS, Postgres, Kubernetes. Our scanning surface extends across Azure, GCP, OCI and Alibaba Cloud and others.
What Youll Do:
Lead, mentor and develop a team of senior software engineers through one-on-ones, feedback and technical guidance
Own and drive the delivery of high-impact projects end to end, from design through deployment and production monitoring
Design and review architecture for large-scale distributed systems, with a focus on scalability, resilience and efficiency
Drive the platforms scalability and cost efficiency as scan volumes grow
Collaborate cross-functionally with Product, SRE and other R&D teams to define priorities, interfaces and success metrics
Ensure the reliability, scalability and observability of core services, introducing SLOs and best practices for operations
Uphold the teams engineering standards for code quality, safe rollout of changes and long-term maintainability
Write and review clean, maintainable and tested code
Requirements:
Bachelors degree in Computer Science, Engineering, or equivalent experience
7+ years of professional software development experience, including at least 2 years in a team lead role.
Proven experience leading teams that build and operate large-scale, mission-critical distributed systems
Strong hands-on Python, including async programming at scale - Must
Strong understanding of distributed systems design, including concurrency, distributed state, idempotency, delivery semantics and performance optimization
Solid grasp of resilience patterns such as retries, backpressure, rate limiting, timeouts, resumable workflows and failure recovery
Hands-on experience with event streaming and queueing systems such as Kafka and SQS
Hands-on experience with Redis and with relational databases such as Postgres - Advantage
Deep understanding of cloud-native architectures and cloud provider APIs, AWS in particular, including compute, storage, IAM and related services
Excellent communication and collaboration skills, with the ability to align engineers, product managers and stakeholders
Experience mentoring engineers and guiding technical growth
Comfortable balancing hands-on technical work with people and project leadership responsibilities
This position is open to all candidates.
 
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Location: Tel Aviv-Yafo
Job Type: Full Time
Required Software Developer - Production Engineering
Realize your potential by joining the leading performance-driven advertising company!
As a Software Developer on the Production Engineering team in our Infrastructure R&D Department, youll play a vital role in building and scaling the core platform behind one of the largest real-time recommendation systems in the world.
1.4 billion users. 950,000 requests per second. 140TB of fresh data every day. 800M metrics every minute.
Youll join a team of strong engineers operating at this scale, with full ownership from design to production.
Youll have the freedom to move fast, solve complex infrastructure challenges, and help drive what comes next.
How youll make an impact:
As a Production engineering team member, youll bring value by:
Have end to end ownership: Design, develop, deploy, measure and maintain our services
Build and evolve one of the worlds largest real-time systems, including our core framework code, used across R&D
Improve observability, monitoring, and logging to proactively detect and resolve performance issues.
Leverage Gen-AI tools to accelerate development velocity across the R&D organization, enabling further growth of our recommendation engine
Collaborate with the brightest software engineers team members
Directly shape how billions of people discover the internet.
Here are some of the things software devs in our group did in the last several months:
Rewrote part of our recommendation servers to reduce serving time p999 by >40%
Developed internal smart and adaptable cluster management capabilities to allow dynamic resources allocation for heterogeneous traffic patterns
Created and improved our Kafka consumer designed for very high scale
Developed a brand new metrics pipeline, ingesting over 100B metric messages per day
Rolled out a new custom home-built authentication service
Many more things
Our Tech Stack:
Java, Spark, Kafka, Hadoop, Cassandra, Vertica, MySQL, HDFS, BigQuery, Docker, Linux, Kubernetes, Prometheus, Metrictank, Grafana, Airflow, Redis.
Requirements:
To thrive in this role, youll need:
Experience developing large scale distributed systems and solid understanding of production system infrastructure
Deep understanding of strong Computer Science fundamentals: object-oriented design, data structures, and concurrent/multi-threaded programming
3+ years programming experience in Java or equivalent Object-Oriented language
Production systems understanding
Experience with SQL and No-SQL
Highly Proficient in Linux environment
Proven ability to work effectively across multiple teams
B.Sc in computer science or equivalent experience
Bonus points if you have:
Experience in Big Data tools
Knowledge in algorithms, data-mining and machine learning
This position is open to all candidates.
 
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תודה על שיתוף הפעולה
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11/10/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
Were looking for an Engineering Tech Lead to help drive some of the most strategic technical initiatives at Unframe. This is not a traditional Tech Lead role. Were looking for someone who is deeply technical and highly hands-on, but also knows how to think strategically, lead architecture decisions, and represent the company in front of enterprise customers and senior stakeholders. Youll work across multiple teams and domains, partnering closely with Platform, Product, and Engineering teams to design and deliver AI-powered enterprise solutions at scale. One moment you might be deep in architecture or code, and the next youll be in a room with customer executives helping guide critical technical decisions. We work on site from our offices in Tel Aviv.
What Youll Do:
Lead architecture and technical direction for strategic enterprise AI initiatives
Work directly with some of the worlds largest enterprises to design and deliver scalable AI-powered solutions
Partner cross-functionally with Platform, Product, and Engineering teams across the company
Stay deeply hands-on with the code and engineering teams
Drive complex technical decisions across scalability, reliability, performance, and system design
Help customers solve real production challenges and build long-term technical trust
Design versatile enterprise-grade solutions across different customer environments and use cases
Influence engineering standards, architecture practices, and long-term technical direction
Operate in a fast-moving, high-ownership environment where execution speed matters
Requirements:
7+ years of software engineering experience
Strong hands-on experience with Node.js, TypeScript, and modern frontend frameworks
Deep experience designing scalable production systems and distributed architectures
Strong architectural thinking combined with a builder mentality
Experience working with enterprise customers or large-scale deployments
Experience building AI/LLM-powered products or platforms
Excellent communication skills and ability to lead technical conversations with both engineers and executives
High ownership mentality and ability to operate independently in ambiguous environments
Someone equally comfortable writing code, designing systems, and speaking with customers
This position is open to all candidates.
 
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תודה על שיתוף הפעולה
מודים לך שלקחת חלק בשיפור התוכן שלנו :)
לפני 16 שעות
Location: Tel Aviv-Yafo
Job Type: Full Time
at the company, we're revolutionizing the way businesses interact with the digital world by revealing to them everything that happens online. our cutting-edge platform and unique data empower over 4,300 customers globally, including industry giants like google, ebay, and adidas, to make game-changing decisions that drive their digital strategies.
in 2021, we went public on the new york stock exchange, and we havent stopped growing since!
were looking for an infrastructure data engineer to join our data labs ( DL ) department, which specializes in Professional Services for our super-premium customers. this role will report to our DL (datalabs) infrastructure team manager in the r&d.
why is this role so important at the company?
we are a data -focused company, and our unique ai and Machine Learning capabilities are the center of our business.
as a data infrastructure engineer in the datalabs group, you will be the technical backbone supporting our data production, analyst, and data science teams. you will own and maintain our aws cloud accounts and databricks workspaces, optimize pipeline executions, and proactively modernize our tech stack to reduce tech debt - ensuring our platform remains scalable, reliable, fast, and cost-effective.
given the business-oriented nature of datalabs, you will work closely with cross-functional stakeholders and internal teams who interface directly with strategic customers. by unblocking operational bottlenecks and building robust tooling, you will empower our analysts and data scientists to deliver custom, high-value data products to our customers seamlessly.
so, what will you be doing all day?
environment & workspace management: administering and optimizing our groups aws cloud accounts, iam policies, and databricks workspaces to ensure peak performance, rock-solid security, and cost efficiency.
execution & pipeline infrastructure: owning the health, reliability, and scaling of our core data execution environments (airflow, docker, eks/ecs, distributed queues, and database engines).
tech debt modernization: proactively researching, benchmarking, and replacing legacy debt with modern technologies to keep our platform fast and cutting-edge.
Developer & production support: serving as the technical focal point for internal analysts and data science teams-providing the tooling, standards, and infra support they need to build custom client reports smoothly.
cross-group & client alignment: partnering with external engineering teams and internal stakeholders to support custom data delivery pipelines and uphold high-priority customer slas.
why youll love being a team member:
youll actually love the product you work with: our customers arent our only raving fans. when we asked our employees why they chose to come work at the company, 99% of them said the product.
Requirements:
this is the perfect job for someone who:
holds a b.sc. in Computer Science (or equivalent practical experience) with 4+ years of hands-on experience as a data infrastructure engineer managing large-scale, production-grade cloud environments.
loves building robust, fault-tolerant, scalable systems and high-load system design.
experienced with managing cloud environments (aws/gcp/azure).
is proficient with infrastructure-as-code (terraform or cloudformation), containerized execution environments, distributed orchestrators, database engines, queues, and resource isolation.
brings strong familiarity with core Big Data ecosystem tools - such as spark, databricks, and airflow.
is a go-getter with a strong sense of ownership who thrives on refactoring legacy tech debt, adopting cutting-edge tools, and supporting internal teams with a collaborative, service-oriented mindset.
all the company offices work in a hybrid model, so you can enjoy the flexibility of working from home with the benefits of building face to face connections with fellow our teammates.
This position is open to all candidates.
 
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