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חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time and Hybrid work
We are looking for a talented Architect to join us. As a Data Architect, you will be the organizational point of contact for all things related to data persistence and architecture. You will work closely with engineering teams across the Product, Platform, and Data groups to design, govern, and evolve our data models, databases, and data-related systems. Your goal will be to ensure scalability, reliability, security, and efficiency for all data storage and retrieval across the organization.

A few of the things you will do:

Be the primary point of contact and subject matter expert for data persistence across the entire engineering organization.

Define and govern the data architecture strategy, standards, and best practices for relational, NoSQL, and data warehouse systems.

Partner with engineering teams from product, platform, and data groups to design and implement scalable and robust data models for new and existing services.

Lead the design and optimization of the organizations data flows. You will help to ensure that data moves efficiently, consistently, and with high quality across all systems and domains.

Evaluate and recommend new technologies and data solutions to meet evolving business needs.

Drive initiatives to improve data quality, consistency, and integrity across all production systems, from ideation to hands-on execution.

Establish, maintain, and communicate documentation for all data models and architectural decisions.
Requirements:
What is needed:

8+ years of experience in software engineering, with at least 3+ years in a dedicated Data Architect or Principal Database Engineer role.

Deep expertise in designing and scaling complex transactional and analytical data systems (e.g., PostgreSQL, MySQL, NoSQL databases like Cassandra or MongoDB).

Strong understanding of distributed systems, microservices architecture, and their impact on data persistence.

Excellent collaboration and communication skills, with the ability to influence technical decisions across the organization.

Grasp of the big picture: We are on a mission to improve the way our users work and to revolutionize the entire events industry.

Team player with strong communication skills, an egoless and transparent approach, and a positive attitude.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We are looking for a Senior Data Architect to help define and evolve the data architecture of our SaaS platform and core products. You will work closely with product, delivery, and engineering squads to design scalable, reliable data systems, set technical direction for how data is ingested, modeled, stored, and served, and guide teams in making high-quality architectural decisions that balance delivery speed with long-term sustainability.
This is a hands-on, senior technical leadership role: you will spend most of your time shaping data architectures with teams, reviewing data models, pipelines and critical code, and driving shared standards and patterns across the organization, all in an advanced agentic environment.
Responsibilities:
Define and evolve the data architecture for key domains (ingestion, ELT/ETL, data modeling, storage, APIs, integration, observability, governance, and security), including owning the lakehouse/medallion architecture (bronze/silver/gold) and the data flows that move data across layers at scale.
Translate business and product requirements into pragmatic data designs, data contracts, and architecture roadmaps; create and maintain architecture artefacts (data flow/lineage diagrams, ADRs, reference implementations, modeling guidelines).
Evaluate design options and technology choices, articulate trade-offs, and lead decision-making with stakeholders; push forward the agentic mindset and implementation across the data platform.
Partner with squad leads and senior engineers to design data solutions, break down complex problems, and keep implementations aligned with the target architecture; participate in design/tech reviews to ensure NFRs (performance, scalability, data quality, resilience, security, operability) are addressed early.
Provide hands-on support where it matters most: spike and prototype critical data flows, review complex PRs, and help debug tricky production data and pipeline issues.
Requirements:
8+ years of experience in software / data engineering, including several years in a senior / staff / architect role designing complex data systems.
Strong experience designing modern data platforms and distributed data architectures (lakehouse/warehouse, batch and streaming/event-driven patterns, robust data APIs).
Experience working with columnar/serialization data formats such as AVRO and Parquet, including schema evolution and storage trade-offs.
Experience with DBT and ELT management tools for building, testing, and maintaining transformation pipelines.
Experience with Apache Airflow (or comparable orchestration tooling) for scheduling and managing data workflows.
Experience working with Databricks (or Snowflake) and medallion architecture (bronze/silver/gold).
Experience building SaaS data infrastructure, including CI/CD, ETL/data pipeline observability, and data quality monitoring.
Proven ability to design for scale, performance, security, and reliability in production SaaS environments.
Hands-on experience with at least one major language and ecosystem used in our stack (e.g., Python, SQL, Java, or similar).
Proven agentic experience - as hands-on experience and as architecting GenAI systems.
Comfortable reading and reviewing code, guiding implementation, and occasionally building prototypes or reference implementations.
Nice to have:
Experience with financial services, B2B SaaS, or integrations with large enterprise customers (e.g., banks).
Background in analytics, BI, or ML-adjacent systems and feature/data pipelines for ML.
Familiarity with data governance, lineage, cataloging, and master data management.
Familiarity with domain-driven design, event sourcing, or CQRS patterns.
Solid understanding of cloud-native architecture (e.g., AWS/Azure/GCP), containers, and infrastructure-as-code practices.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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19/07/2026
חברה חסויה
Location: Lod and Tel Aviv-Yafo
Job Type: Full Time and Hybrid work
abra professional services is seeking a Data Analytics Architect / Principal Data Engineer We are looking for a skilled Data Analytics Architect / Principal Data Engineer to lead the organization’s analytics data domain, design large-scale data architecture, build advanced analytical models, define organizational data modeling standards, and implement innovative AI and LLM-based technologies. This role requires deep expertise in data engineering, analytics, BI, SQL, PostgreSQL, data modeling, performance optimization, data governance, and the integration of AI tools into data engineering processes. A full-time hybrid position based in Central Israel. The first 4–6 months will be based in Tel Aviv, followed by a transition to the Lod area. The position includes 1 day a week remote. Key Responsibilities:
* Design and develop data architecture that supports large-scale analytics and business intelligence.
* Lead the design and implementation of complex data models and enterprise data modeling solutions.
* Define organizational standards, methodologies, and best practices in the data domain.
* Optimize database performance, analytical queries, and reporting processes.
* Lead LLM-based development and implement AI tools within data engineering processes.
* Mentor data engineers, conduct code reviews and architecture reviews.
* Collaborate with management and business stakeholders to build a technological roadmap.
* Establish frameworks for data quality and data governance.
* Lead initiatives to improve the reliability and stability of BI and analytics systems.
* Evaluate new technologies and lead the adoption of innovative solutions across the organization.
* Lead the design and implementation of end-to-end analytics platforms.
Requirements:
Requirements: must have requirements: • Bachelor’s degree in Computer Science, Data Science, Statistics, or another relevant field, or equivalent professional experience. • At least 5 years of experience in Data Engineering, with a focus on Analytics and BI. • Expert-level SQL skills. • Deep experience with PostgreSQL, including performance tuning and optimization. • At least 3 years of experience with Python for data processing, automation, and testing. • At least 3 years of experience designing and implementing large-scale data models. • Experience leading performance optimization in complex data systems. • Experience establishing and implementing Data Governance and Data Quality processes. • Proven ability to translate business requirements into data architecture and technological solutions. • Experience providing technical leadership, mentoring, and leading technological initiatives. • Experience building Data and Analytics platforms from scratch. • Proven experience integrating AI and LLM tools into development and data engineering processes. Advantages: • Experience in FinTech or financial organizations. • Deep familiarity with regulation, information security, and compliance requirements. • Experience working with Data Lakes and Data Warehouses. • Experience with orchestration tools and ELT / ETL processes. • Experience working in cloud environments such as AWS, GCP, or Azure. • Familiarity with streaming technologies and real-time data processing. • Experience leading technology teams or professional excellence groups. Personality requirements: • Fast learning ability and curiosity for new technologies and methodologies. • Strategic thinking and broad system-wide perspective. • Ability to lead and influence without formal authority. • Ability to work independently and manage multiple tasks simultaneously. • High personal responsibility and ability to receive professional feedback. • Initiative, creativity, and ability to solve complex problems. • High motivation and constant drive for excellence. • Excellent interpersonal communication skills and ability to work with multiple stakeholders. • Ability to driv
This position is open to all candidates.
 
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21/06/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
Grip Security is looking for a Senior Data Platform Engineer to join our community!
We are a fast-growing startup in the software-as-a-service and AI Security Industry. We provide innovative solutions to securing the whole organization-to-SaaS surface. (More details: https://grip.security)
Using the newest technologies, we're working on solving a huge problem all enterprises face today - to govern the accessibility of all their employees to all 3rd party vendors (GitHub, SendGrid, Atlassian, and thousands more!), and ensure there is no leftover/unwanted access to any of the organization's SaaS and AI assets. The SaaS and AI security field is complex and challenging; therefore, we're looking for super-talented people, who are not afraid of technical challenges and breaking down barriers to achieve good solutions.
The job
As a Senior Data Platform Engineer, you will play a key role in building and evolving Grips modern data platform - the infrastructure that powers product features and analytics across the company.
You will focus on designing and operating scalable, reliable data systems and platform tooling that support our Data Lakehouse, enabling engineers, analysts and research teams to work with data efficiently and with minimal friction.
Responsibilities:
Design, build and operate a cloud-native modern data platform.
Develop and optimize data processing frameworks and pipelines across batch and streaming workloads.
Improve developer experience and platform usability through tooling and automation.
Lead and support large-scale data migrations and architectural improvements.
Drive best practices around infrastructure, CI/CD, testing, and system design.
Collaborate with developers, analysts, data scientists and other stakeholders to develop new products and features.
Contribute to a strong engineering culture of ownership, learning, and knowledge sharing.
Requirements:
5+ years of hands-on experience building scalable data infrastructure, particularly around data lake or data warehouse architectures.
Proven experience designing, building and operating production-grade systems and services.
Strong understanding of cloud infrastructure (AWS, GCP, or Azure) and hands-on experience with modern data platforms and tools (e.g., Spark, Kafka, Airflow, dbt, open table formats, or similar).
Strong programming skills in Python and SQL.
Independent, proactive, and ownership-driven mindset.
Background in data platform engineering, backend engineering, DevOps, or DBA - strong advantage.
Experience with containerization technologies - advantage.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We are looking for a Principal Architect who combines deep technical mastery with product sensibility, business understanding, and organizational insight. This is a senior individual-contributor role with broad influence and high visibility across engineering, product, and leadership.
You will shape the architecture of our platform across multiple domains, drive strategic technical decisions, and partner with cross-functional leaders to align architectural direction with product, business, and organizational goals.
You are not just a technologist - you are a systems thinker who understands how technology enables outcomes, how teams and organizations scale, and how product strategy and technical strategy intersect.
What Youll Do
Architectural Ownership & Thought Leadership
Lead architecture across core domains, such as:
Distributed systems at massive scale
Streaming and real-time data pipelines
Query engines, analytics, and data processing
Storage architectures and object-store-based systems
SaaS control planes and high-scale multi-tenancy
Anticipate systemic needs, identify opportunities, and drive architectural initiatives end-to-end - from design through alignment and delivery
Act as a trusted advisor and thought partner for senior engineering, product, and executive stakeholders
Cross-Functional Impact
Translate product and business strategy into architectural trade-offs and decisions
Help define the how behind ambitious organizational outcomes (e.g., performance, reliability, cost efficiency, developer velocity at petabyte-scale)
Mentor and influence engineers across teams to elevate architectural quality and execution
Organizational Intelligence in Practice
Embody an integrative perspective: understand technology constraints, product priorities, customer problems, and organizational dynamics
Help shape how the company thinks about architecture as a strategic asset - not just a technical discipline.
Requirements:
Depth and Breadth
Proven long-term experience shaping large-scale data systems in production and defining technical direction
Strong background with hyperscale or high-growth data platforms (analytics engines, databases, streaming systems, etc.)
Systems AND Strategy
Deep understanding of distributed systems, failure modes, storage and query execution, and complex streaming and batch processing
An ability to navigate technical complexity while grounding decisions in business outcomes and product value
Influence and Leadership
Track record influencing across engineering, product, and leadership, using trust and strong people skills
Strong communicator who can advocate for robust architectural direction and build alignment
Organizational Insight
Evidence of thinking beyond code - you understand organizational structures, collaboration patterns, and how teams deliver at scale
Strong Advantage
Previous R&D leadership experience
Active involvement in open-source projects as a contributor or maintainer
Why This Role Matters
Youll work on systems that operate at multi-petabyte daily scale, where architecture truly matters.
Your decisions will shape not just products, but the foundation of a new category.
Youll partner with engineers and leaders who value deep technical excellence and strategic thinking.
Youll help define how our company - and ultimately our customers - make sense of and act on organizational data.
Cultural Fit
Were seeking candidates who are hungry, humble, and smart. our company fosters a culture of innovation and continuous learning, where team members are encouraged to challenge the status quo and contribute to our shared mission. If you thrive in dynamic environments and are eager to shape the future of observability solutions, wed love to hear from you.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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21/06/2026
Location: Tel Aviv-Yafo and Yokne`am
Job Type: Full Time
We are seeking an AI Networking Architect to join the Networking Research Group. This role will help bridge the gap between emerging tasks supported by advanced technologies and the data center infrastructure that powers them. In this role, you will work at the intersection of AI applications, distributed systems, networking hardware, and software architecture.

You will join a focused team of multidisciplinary engineers driving AI workload optimization through deep application understanding, network analysis, and end-to-end systems thinking. Your insights will directly shape our products across the full stack - from applications and software libraries to hardware architecture and physical design.


What Youll Be Doing:

Model the performance of complex AI workloads to identify bottlenecks and recommend system-level optimizations.

Analyze brand-new AI models, distributed training techniques, and inference workloads to understand their infrastructure requirements.

Build Platforms, simulations and HW platforms, execute AI workloads and build analytical tools to evaluate trade-offs across compute, memory, storage, and network behavior.

Translate research insights and workload behavior into actionable software, hardware, and networking architecture requirements.

Partner with architecture, software, and product teams to influence future NVIDIA networking and AI infrastructure roadmaps.

Drive architectural innovation by applying deep workload analysis to real-world advanced machine learning frameworks.
Requirements:
What we need to see:

B.Sc. Or M.Sc. in Computer Science, Computer Engineering, Electrical Engineering, or equivalent experience.

3+ years of relevant industry or research experience.

Strong machine learning or data science background, with hands-on experience in LLMs, generative AI, or deep learning systems.

Strong systems-level thinking, capable of estimating end-to-end requirements across the AI stack.

Shown ability to translate research findings and product requirements into clear software and hardware specifications.

Excellent research skills, including the ability to digest academic papers, self-learn new domains, and independently test hypotheses.

Advanced programming skills for performance modeling, data analysis, and prototyping.

Excellent communication skills, demonstrating proficiency in presenting complex technical findings clearly and confidently.


Ways to Stand Out from the crowd:

Experience with distributed training, distributed inference, or large-scale AI serving systems.

Experience in Agentic programming, and AI tools.

Familiarity with GPU clusters, collective communication, storage systems, or AI networking bottlenecks.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We are looking for a Senior Software Architect to help define and evolve the architecture of our SaaS platform and core products. You will work closely with product, delivery, and engineering squads to design scalable, reliable systems, set technical direction, and guide teams in making high‑quality architectural decisions that balance delivery speed with long‑term sustainability.
This is a hands‑on, senior technical leadership role: you will spend most of your time shaping architectures with teams, reviewing designs and critical code, and driving shared standards and patterns across the organization, all in an advance agentic environment.
Responsibilities
Architecture & technical leadership-
Define and evolve the architecture for key domains in our platform (APIs, services, data flows, integration, observability, security).
Translate business and product requirements into clear, pragmatic technical designs and architecture roadmaps.
Create and maintain architecture artefacts: diagrams, decision records (ADRs), reference implementations, and guidelines.
Evaluate design options and technology choices, articulate trade‑offs, and lead the decision‑making process with stakeholders.
Push forward the agentic mindset and implementation.
Working with squads (R&D)-
Partner with squad leads and senior engineers to design solutions, break down complex problems, and keep implementations aligned with the target architecture.
Participate in design / tech reviews, ensuring non‑functional requirements (performance, resilience, security, operability) are addressed early.
Provide hands‑on support where it matters most: spike and prototype critical flows, review complex pull requests, and help debug tricky production issues.
Partnering with Product-
Collaborate with Product to shape technical feasibility, sequencing, and scope for roadmap items and cross‑squad initiatives.
Communicate complex technical topics in simple language to non‑technical stakeholders when discussing roadmap options and trade‑offs.
Standards, reuse, and platform mindset-
Define and promote architecture principles, coding standards, and reusable patterns (modules, libraries, services) that reduce duplication and technical debt.
Champion platform thinking: design services and components that can be safely reused across teams and products.
Drive adoption of shared platform capabilities (observability, CI/CD, authentication, data, DevOps tooling) across squads.
Quality, reliability, and continuous improvement.
דרישות:
8+ years of experience in software engineering, including several years in a senior / staff / architect role designing complex systems.
Strong experience with modern backend and distributed architectures (microservices or modular monoliths, event‑driven patterns, robust APIs).
Solid understanding of cloud‑native architecture (e.g., AWS/Azure/GCP), containers, and infrastructure‑as‑code practices.
Proven ability to design for scale, performance, security, and reliability in production SaaS environments.
Hands‑on experience with at least one major language and ecosystem used in our stack (e.g., Java, Python, Node.js, or similar).
Proven agentic experience - as hand-on experience and as architecting GenAI systems
Comfortable reading and reviewing code, guiding implementation, and occasionally building prototypes or reference implementations.
Experience working with product teams in an agile / kanban environment; able to balance long‑term architecture with near‑term delivery.
Strong communication skills: can explain complex technical concepts clearly to engineers and non‑engineers.
Nice to have
Experience with financial services, B2B SaaS, or integrations with large enterprise customers (e.g., banks).
Background in data platforms, analytics, or ML‑adjacent systems.
Familiarity with domain‑driven design, event sourci המשרה מיועדת לנשים ולגברים כאחד.
 
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הגשת מועמדותהגש מועמדות
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3 ימים
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
At UVeye, we're on a mission to redefine vehicle safety and reliability on a global scale. Founded in 2016, we pioneered the world's first fully automated suite of AI-powered vehicle inspection systems, combining computer vision, machine learning, and generative AI. With over $380M in funding and strategic partnerships with Toyota, Amazon, General Motors, JLR, Volvo, and Hertz, our technology is deployed across manufacturing plants, dealerships, wholesale auctions, fleets, and seaports worldwide. Named one of Fast Company's Most Innovative Companies of 2026, our 300+ global employees are solutions-oriented, accountable, and driven by one shared goal: making roads safer for everyone.
We are looking for an experienced Data Engineering Team Leader In this role, you will lead and strengthen our Data Team, drive innovation, and ensure the robustness of our data and analytics platforms.
?A day in the life and how you’ll make an impact:
* Drive the technical strategy and roadmap for the data engineering function, ensuring alignment with overall business objectives.
* Own the design, development, and evolution of scalable, high-performance data pipelines to enable diverse and growing business needs.
* Establish and enforce a strong data governance framework, including comprehensive data quality standards, monitoring, and security protocols, taking full accountability for data integrity and reliability.
* Lead the continuous enhancement and optimization of the data analytics platform and infrastructure, focusing on performance, scalability, and cost efficiency.
* Champion the complete data lifecycle, from robust infrastructure and data ingestion to detailed analysis and automated reporting, to maximize the strategic value of data and drive business growth.
Requirements:
5+ years of Data Engineering experience (preferably in a startup), with a focus on designing and implementing scalable, analytics-ready data models and cloud data warehouses (e.g., BigQuery, Snowflake). Minimum 3 years in a leadership role , with a proven history of guiding teams to success.
* Expertise in modern data orchestration and transformation frameworks (e.g., Airflow, DBT).
* Deep knowledge of databases (schema design, query optimization) and familiarity with NoSQL use cases.
* Solid understanding of cloud data services (e.g., AWS, GCP) and streaming platforms (e.g., Kafka, Pub/Sub). Fluent in Python and SQL , with a backend development focus (services, APIs, CI/CD).
* Excellent communication skills, capable of simplifying complex technical concepts.
* Experience with, or strong interest in, leveraging AI and automation for efficiency gains.
* Passionate about technology, proactively identifying and implementing tools to enhance development velocity and maintain high standards.
* Adaptable and resilient in dynamic, fast-paced environments, consistently delivering results with a strong can-do attitude.
* B.Sc. in Computer Science / Engineering or equivalent.
Why UVeye: Pioneer Advanced Solutions: Harness cutting-edge technologies in AI, machine learning, and computer vision to revolutionize vehicle inspections. Drive Global Impact: Your innovations will play a crucial role in enhancing automotive safety and reliability, impacting lives and businesses on an international scale. Career Growth Opportunities: Participate in a journey of rapid development, surrounded by groundbreaking advancements and strategic industry partnerships

This position is open to all candidates.
 
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21/06/2026
Location: Tel Aviv-Yafo
Job Type: Full Time
As an Engineering Manager at Cortex Cloud, you will lead a team of ~6 engineers operating in one of our most complex and cross-functional domains. This role requires a strong blend of people leadership and deep technical expertise, including systems design and large-scale distributed cloud architectures. You will be responsible for driving the design and delivery of complex, high-impact systems, while ensuring the team executes against the roadmap with both speed and engineering rigor.
Key Responsibilities
Build, mentor, and lead a high-performing software engineering team, fostering a culture of empowerment and driving both individual growth and collective impact.
Partner closely with Product Management and cross-functional teams (Infrastructure, Research, UX) to define priorities and shape multi-quarter product roadmaps, ensuring alignment across all stakeholders.
Own the end-to-end software development lifecycle, translating product strategy into executable plans and ensuring consistent, high-quality, on-time delivery.
Provide architectural leadership for scalable, distributed systems operating at petabyte scale, guiding the design and implementation of high-throughput, cloud-native backend microservices.
Drive production readiness by enforcing best practices around deployment, observability, reliability, and runtime stability, focusing on the details to ensure operational excellence.
Align stakeholders across business units through clear communication of technical strategy, trade-offs, priorities, risks, and execution plans.
Engage directly with strategic customers to lead technical deep dives and architecture reviews, and to influence future product direction.
Foster a culture of high engineering standards, accountability, and continuous improvement, with a strong emphasis on quality and security.
Requirements:
3-4 years of experience managing software engineering teams within a large-scale organization.
5+ years of hands-on software engineering experience with a strong systems-level foundation.
Proven ability to plan, execute, and deliver complex roadmaps with high predictability, owning distributed cloud products end-to-end.
Demonstrated experience designing and operating large-scale cloud architectures on platforms such as GCP, AWS, or Azure.
Strong collaboration skills with a track record of aligning cross-disciplinary teams around shared objectives.
Preferred Qualifications
Experience with programming languages such as Go and Python.
Familiarity with large-scale data platforms, including BigQuery, MongoDB, and MySQL.
Professional experience in cybersecurity, data security, or threat intelligence.
Experience operating and maintaining highly distributed services at massive scale.
This position is open to all candidates.
 
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22/06/2026
Location: Tel Aviv-Yafo
Job Type: Full Time
As a Senior/ Principal/ Senior Principal Software Engineer at Cortex Cloud, you will serve as a primary technical architect and visionary for our core communication infrastructure. This role is focused on the critical server-side backbone that facilitates high-scale bidirectional communication between our cloud services and client-side applications.
You will be responsible for the architectural integrity of systems that receive massive data inflows from the field and reliably broadcast intelligence back to millions of endpoints. This is a high-impact leadership role requiring a blend of deep technical mastery in distributed systems and the ability to influence technical strategy across the organization.
Key Responsibilities
Architectural Strategy & Vision: Define and drive the multi-year technical roadmap for our server-side communication infrastructure, ensuring the platform remains resilient and performant under extreme load.
High-Scale Communication Infrastructure: Lead the design and implementation of backend systems optimized for receiving high-scale data from client-side apps and distributing data back to a vast ecosystem of endpoints.
Technical Leadership & Influence: Act as a force multiplier by providing technical guidance to multiple engineering teams, aligning them on shared protocols, architectural standards, and communication patterns.
Drive Engineering Excellence: Champion a culture of high engineering rigor, focusing on deep observability, low-latency data distribution, and runtime stability for mission-critical production environments.
Cross-Functional Collaboration: Partner with Product Management, Infrastructure, and Client-Side Engineering teams to evaluate technical trade-offs, mitigate risks, and ensure seamless end-to-end data flow.
Innovation & Prototyping: Spearhead the evaluation of emerging technologies and lead "proof of concept" initiatives for next-generation transport layers and messaging paradigms.
Technical Mentorship: Invest in the growth of Senior and Staff engineers through deep-dive design reviews, code audits, and hands-on pair programming on the most critical paths.
Strategic Customer Engagement: Support the business by leading technical deep dives with strategic customers, translating complex architectural concepts into actionable confidence for our partners.
Requirements:
5+/ 8+/10+ years of software engineering experiencewith a proven track record of delivering robust, high-scale distributed systems.
Server-Side Mastery:Deep expertise in systems-level programming and modern backend languages (e.g.,Go, Python) with a focus on building scalable server-side infrastructure.
Cloud Native Foundations:Extensive experience designing, deploying, and operating large-scale architectures onGCP, AWS, or Azure, including strong knowledge ofKubernetes,Docker and Helm.
Bidirectional Data Flow:Proven ability to architect systems that handle high-concurrency data ingestion and wide-scale datadistribution/broadcasting.
Systemic Problem Solving:Demonstrated experience in profiling, debugging, and optimizing complex distributed systems to eliminate performance bottlenecks.
Influence & Communication:Exceptional ability to communicate complex technical concepts to both highly technical peers and non-technical stakeholders.
Preferred Qualifications
Data Platform Expertise:Familiarity with architecting solutions using large-scale data platforms such asBigQuery, MongoDB, and MySQL.
High-Performance Caching:Hands-on experience with in-memory data stores and acceleration technologies likeRedis, Dragonfly, or similar high-throughput caching layers.
Event-Driven Architecture:Deep understanding ofEvent-Driven systemsand asynchronous messaging patterns to ensure decoupled and scalable service interactions.
Modern Tooling:Experience leveragingAI-assisted development tools(Gemini, Claude) to optimize the SDLC and automate complex testing/generation tasks.
Advanced Degree:B.Sc., M.Sc., or Ph.D.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8705318
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שירות זה פתוח ללקוחות VIP בלבד