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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:
Ensure architectures are observable, operable, and resilient by design; partner with DevOps/SRE on deployment, monitoring, and incident response.
Identify areas of high technical debt or architectural risk and lead structured remediation initiatives.
Help define and track technical KPIs (e.g., performance, reliability, incident volume) tied to architecture decisions.
Mentoring and leadership:
Act as a technical mentor and sounding board for senior engineers and tech leads, helping them grow their architecture skills.
Foster a culture of thoughtful design, documentation, and constructive technical debate.
Lead by influence rather than authority: you help teams make better decisions instead of making every decision for them.
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 sim המשרה מיועדת לנשים ולגברים כאחד.
 
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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.
Collaborate with Product to shape technical feasibility, sequencing, and scope for data-driven roadmap items; communicate complex technical topics in simple language to non-technical stakeholders.
Define and promote data architecture principles, modeling conventions, coding standards, and reusable patterns (shared transformations, libraries, datasets, services) to reduce duplication and technical debt; drive adoption of shared platform capabilities (observability, CI/CD, orchestration, governance, DevOps tooling) across squads.
Ensure data architectures are observable, operable, and resilient by design; partner with DevOps/SRE on deployment, monitoring, data quality, and incident response; identify areas of high technical debt or architectural risk and lead remediation initiatives; define and track technical KPIs tied to architecture decisions.
Act as a technical mentor for senior engineers and tech leads, fostering a culture of thoughtful design, documentation, and constructive technical debate; lead by influence- help teams make better decisions instead of making every decision for them.
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).
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 Hands-On Software Architect to join our architecture group and work alongside some of the most experienced engineers in the industry.
As a Hands-On Architect, you will actively design, build, and evolve large-scale software systems, set technical direction, and work day-to-day with development teams, product, and other stakeholders to deliver reliable, scalable solutions.
If you are passionate about making real impact, enjoy solving hard problems end-to-end, and thrive in distributed systems that process billions of events per day, wed love to talk.
What Youll Do:
Lead the design and implementation of complex, distributed software systems in production.
Work closely with developers, product owners, and stakeholders to translate business needs into practical, scalable architectures.
Define and drive engineering standards: architecture patterns, coding standards, testing strategies, and operational best practices.
Stay hands-on: write code, review code, and participate in technical problem-solving across teams.
Mentor and coach developers and tech leads, raising the overall technical bar.
Review designs and implementations to ensure solutions are high-quality, maintainable, and resilient.
Continuously evaluate new technologies and approaches, recommending improvements where they provide clear value.
Be involved in production systems: deployments, observability, performance tuning, and incident analysis.
Requirements:
8+ years of experience in software development, system design, and architecture roles.
Strong hands-on experience with modern backend technologies such as Java and/or Python.
Practical experience with containerized and cloud-native systems (Docker, Kubernetes, AWS / Azure / GCP).
Experience designing and operating distributed systems, including messaging or streaming platforms (e.g., Kafka, RabbitMQ, Spark).
Solid understanding of distributed databases (and non-distributed) such as Postgres, Cassandra, SingleStore, Clikhouse or similar technologies.
Deep knowledge of engineering best practices: CI/CD, DevOps, testing, security, and agile development.
Proven experience working with production environments, including deployment pipelines, monitoring, and troubleshooting.
Strong problem-solving skills and the ability to balance ideal architecture with real-world constraints.
Natural technical leadership: able to influence, mentor, and collaborate without relying on authority.
Excellent communication skills and the ability to work effectively across teams.
B.Sc. or M.Sc. in Computer Science, Software Engineering, or equivalent practical experience.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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8754224
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11/08/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We are looking for a Senior Enterprise Architect - Core Payments Processing to join our Architecture team. Reporting to the VP of Architecture, you will play a key role in shaping and delivering the architecture of next-generation payment processing platforms.

In this role, you will be responsible for designing and guiding the implementation of highly scalable, resilient, and secure transaction-processing systems supporting global payment operations. You will work closely with Product, Engineering, DevOps, Security, and Data teams to translate complex business requirements into robust technical solutions.

This role requires deep experience in real-time distributed systems, fintech/payment platforms, and modernization of large-scale systems, as well as the ability to influence cross-functional teams and ensure architectural integrity throughout delivery.

You will help evolve platform by balancing long-term architecture strategy with pragmatic delivery, enabling the company to scale its global payment capabilities while maintaining reliability, compliance, and operational excellence.

Responsibilities

Lead architecture design for complex payment processing initiatives across core platform.
Translate product and business requirements into scalable and resilient architecture designs, covering functional and non-functional requirements such as performance, availability, security, and compliance.
Drive the architecture of real-time distributed systems supporting payment authorization, transaction routing, and processing flows.
Guide engineering teams in implementing architecture decisions and ensure adherence to architectural standards throughout development and delivery.
Define integration patterns and service boundaries across microservices and platform components.
Contribute to modernization initiatives, including decomposition of legacy systems, migration strategies, and evolution toward cloud-ready architectures.
Collaborate with cross-functional teams (Product, Engineering, DevOps, Security, Data) to ensure solutions are aligned with business goals and technical strategy.
Participate in architecture reviews, design governance, and technical decision-making across the organization.
Requirements:
8+ years of experience in software architecture, solution architecture, or senior engineering roles in complex distributed systems.
Strong experience designing high-volume, real-time transaction processing systems, preferably in payments, fintech, or financial services.
Hands-on experience with distributed architectures, microservices, event-driven systems, and API-based platforms.
Experience with technologies such as Kafka or other streaming platforms, containerization (Docker/Kubernetes), cloud infrastructure, and modern data platforms.
Solid understanding of payment ecosystems, including card payments, alternative payment methods, and transaction lifecycle concepts.
Experience designing systems with strong availability, resiliency, and fault-tolerance requirements.
Strong collaboration and communication skills, with the ability to influence technical and non-technical stakeholders.
Experience working in environments undergoing platform modernization or legacy system evolution.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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21/08/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We are seeking a visionary and highly influential Principal Software Engineer / Software Architect to define and drive the architectural direction of unified DataOps platform. This is a strategic and hands-on role where you will be responsible for the holistic design of our large-scale, cloud-native solutions, ensuring they are robust, scalable, secure, and maintainable. You will be instrumental in evolving our technology stack, ensuring our architecture supports future business growth and innovation, and mentoring the next generation of technical leaders.

What You'll Do
Define & Own Architecture: Define, evangelize, and own the overall software architecture vision and strategy for unified DataOps platform.

Lead System Design: Lead the design and evolution of complex, large-scale, and highly distributed cloud-native systems on AWS, ensuring high performance, scalability, reliability, and security.

Establish Standards: Establish and enforce architectural standards, best practices, and patterns across all engineering teams.

Strategic Collaboration: Collaborate closely with executive leadership, product management, and engineering teams to translate business strategy into actionable technical roadmaps and architectural solutions.

Hands-on Guidance: Provide hands-on architectural guidance, review critical designs, and contribute to proof-of-concepts or complex coding challenges when necessary.

Risk Mitigation: Proactively identify and mitigate architectural risks, anticipating future technical challenges and designing resilient solutions.

Technical Leadership & Mentorship: Mentor and provide strong technical leadership to senior engineers and other architects, fostering a culture of technical excellence and continuous learning.

Technology & Tooling: Drive technology selection, evaluation, and adoption processes, ensuring alignment with architectural principles and business needs.
Requirements:
We are seeking a strategic technical visionary and a chief builder of systems-level designs.

Must-Haves:

Experience: 7+ years of extensive experience in software development, with at least 3-5 years in a dedicated architecture or principal engineering role.

Large-Scale System Design: Proven track record of designing and delivering complex, large-scale SaaS platforms or highly distributed systems.

Architectural Expertise: Deep expertise in various system architecture patterns (e.g., microservices, event-driven, serverless) and their practical application.

Cloud Mastery (AWS): Mastery of cloud platforms, especially AWS, including extensive experience architecting solutions using a broad range of AWS services.

Technical Leadership & Governance: Strong capability in technical leadership, architectural governance, and mentorship.

High-Impact Decision Making: Ability to make critical high-level decisions with long-term impact on the system.

Hands-on Technical Expertise: Proven exceptional proficiency in core technologies like TypeScript, Node.js, React, Python and deep understanding of high-performance SQL/NoSQL database design and K8S

Experience working with message queue technologies (e.g., Kafka, SQS, RabbitMQ) to build scalable and reliable data pipelines.

Communication & Influence: Ability to communicate complex technical concepts clearly and persuasively to diverse audiences, from engineers to executive leadership.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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17/08/2026
Location: Tel Aviv-Yafo
Job Type: Full Time
The Architect leads the design and implementation of scalable AI platforms and central services for AI, creating shared capabilities, tools, and frameworks that transform how our company builds, delivers, and operates products.
Beyond architecture, this role drives strategic, high-impact projects with powerful ROI that positively disrupt operations and elevate customer outcomes, improving efficiency, innovation, and product value across the company.
Strategic Objectives:
Accelerate AI Transformation across the organization by designing and operationalizing central AI services and a unified platform framework that powers key transformation initiatives, including Agentic Workflows.
Institutionalize AI Engineering and Governance Standards through common architecture, services, and enablement frameworks ensuring scalability, security, quality, and compliance.
Deliver measurable transformation outcomes through strategic, ROI-driven projects that reshape how our company's products are built and operated, directly benefiting customers and business performance.
Drive sustainable transformation at scale, balancing rapid innovation with operational excellence and long-term maintainability.
Key Responsibilities
Architect the AI Transformation Framework
Design and own the end-to-end architecture that enables the companys AI Transformation vision - spanning data, models, pipelines, APIs, and governance layers.
Define blueprints and integration standards to embed AI and automation throughout the SDLC, from ideation to delivery.
Build Generative AI Platforms and Central Services
Lead the design and implementation of the AI Enablement Platform and central AI services powering transformation initiatives such as Agentic Workflows and the Knowledge Hub.
Create scalable, secure, and modular AI components that can be leveraged across product lines and engineering domains.
Partner with infrastructure, platform, and security teams to operationalize LLM-based services, retrieval systems, and agentic automation flows.
Drive Strategic Transformation Projects
Lead cross-functional initiatives that deliver tangible operational and business impact - improving speed, quality, and cost-efficiency across the product organization.
Develop strong business cases and ROI frameworks to prioritize and communicate transformation value at the executive level.
Translate successful outcomes into reusable playbooks and AI cookbooks that scale across teams, roles, and product domains.
Technical Leadership and Enablement
Act as the senior technical authority and coach for AI transformation initiatives, guiding teams through architecture reviews, proofs of concept, and scale-up phases.
Mentor internal architects and tech leads to develop AI-native architectural competencies.
Requirements:
10+ years in software or platform architecture, including experience leading cross-organizational transformations.
Proven track record of designing large-scale, data-driven, or AI-enabled systems.
Experience delivering projects with measurable business outcomes and ROI.
Expertise
Enterprise and cloud-native architecture (multi-tenant, microservices, API-first, distributed systems).
Deep understanding of AI/ML infrastructure, LLM integration patterns, agent frameworks, and MLOps.
Familiarity with data engineering, retrieval-augmented generation (RAG), and workflow orchestration (e.g., n8n, LangChain).
Background in cyber security or secure software design - strong advantage.
Mindset & Skills
Transformation-oriented thinker who connects technology to organizational capability and business strategy.
Excellent communicator and influencer at multiple levels (executive to technical).
Bias for action, simplification, and measurable outcomes.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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10/08/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
Required Principal Software Architect
About the Role:
This is a rare, high-leverage role at the intersection of deep technical craft and strategic platform thinking. As our Principal Software Architect, you will own the technical vision for our foundational infrastructure and shape how engineering works across every team in R&D.
You won't be embedded in a single product team - you'll operate across the entire R&D organization, tackling the hardest architectural challenges: data modeling at scale, integration system design, enterprise readiness, performance, and cost efficiency. You'll report directly to the VP of R&D and serve as a technical force-multiplier for our directors and team leads.
If you want to architect systems that serve thousands of engineering organizations - and leave fingerprints on every layer of a fast-scaling SaaS platform - this role is for you.
What You'll Do:
System Design & Scaling:
Architect robust, high-performance, and scalable systems across our entire platform.
Lead the design of resilient, performant, and maintainable core infrastructure as we evolve our SaaS ecosystem.
Design a more robust, performant, and generic integration layer - making our 3rd-party integrations more scalable, easier to build, and higher quality.
Architect high-throughput data and messaging pipelines to support robust, real-time data ingestion and event-driven architectures.
Data Modeling & Analytics:
Redesign and optimize our data modeling layer - including hierarchies, entity types, and relationships - to improve flexibility and scale.
Architect a comprehensive data analytics pipeline capable of handling large-scale data source processing and aggregated metric calculations.
Design effective engineering metrics delivery pipelines - enabling framework-level measurement of developer productivity and platform health.
Enterprise Readiness & Security:
Drive technical planning, tracking, and execution of cross-functional enterprise initiatives including FedRAMP compliance and SSDLC practices.
Design and implement robust security frameworks aligned with enterprise customer requirements.
Reliability & Quality:
Conduct deep-dive root cause analyses on production incidents and drive structural improvements to system reliability.
Design and implement a comprehensive end-to-end load and performance testing ecosystem.
FinOps & Cost Architecture:
Analyze cloud infrastructure spend and identify architectural changes that optimize cost without compromising performance.
Challenge existing storage and infrastructure decisions - asking the right questions about where data lives, why, and at what cost.
Technology Strategy & Mentorship:
Periodically review and recommend technologies, SDKs, and platforms to support our evolving architectural standards.
Mentor and uplevel technical leads across R&D teams, raising the bar for engineering quality and architectural thinking.
Push for the adoption of AI-SDLC practices within R&D to improve engineering velocity.
Participate in senior technical hiring to help us attract world-class engineers.
דרישות:
Experience: 10+ years of software engineering experience, including at least 5 years in architect / staff / principal roles.
Enterprise SaaS track record: Proven experience architecting and scaling enterprise-grade, multi-tenant B2B cloud SaaS services.
Polyglot engineering: Deep software development experience across multiple languages - strong proficiency in Node.js/TypeScript, Go, Python, and React.
Data & streaming ecosystems: Extensive experience with diverse database systems (SQL and NoSQL) and event-driven / message-streaming architectures (Kafka, Kinesis, SQS, etc.).
Cloud & platform engineering: Strong background in multi-cloud environments (AWS, GCP, Azure), modern DevOps practices, and Platform Engineering principles.
AI Native: Deeply comfortable building with AI-first principles, with a mindset for leveraging AI 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 and Hybrid work
You will manage the AI Platform Engineer(s), set the technical standards for the AI Power User group's citizen development program, and serve as the connective tissue between business leadership, platform owners, and development teams. You will shape the multi-year AI architecture roadmap while also rolling up your sleeves to conduct architecture reviews, resolve blockers, and move use cases from concept to production. This is a role for someone who can think big and execute - and who understands that in an enterprise context, the quality of your governance is inseparable from the quality of your architecture.

What You'll Own
Strategy & Architecture
Define and own the enterprise AI integration strategy - identifying opportunities to embed intelligent automation, agentic workflows, predictive analytics, and generative AI capabilities across our company core platforms
Develop and maintain reference architectures, design patterns, and the AI architecture decision log that governs how AI models connect to enterprise systems and what they are permitted to do
Consult on enterprise system architecture and implement best practices for the Enterprise Business Systems team to leverage in their day-to-day execution.
Lead Proof-of-Concept initiatives for new AI tools and platform-native AI features, evaluating them against build-vs-buy criteria before recommending adoption
Partner with business stakeholders to translate operational pain points into AI use cases with clear ROI framing and sequencing criteria
Contribute to our enterprise data strategy, ensuring AI initiatives are supported by clean, accessible, and well-governed data pipelines
Integration Architecture & Delivery

Design and own the Workato eMCP layer - the MCP governance model, persona-scoped token framework, workspace isolation strategy, and the single sanctioned action surface through which all AI agents write back to enterprise systems
Define integration patterns and standards for AI model connectivity (Claude, ChatGPT) to Salesforce, NetSuite, HiBob, and Jira - specifying what agents can read, what they can write, through which surfaces, and with what confirmation and audit requirements
Design and oversee API strategies, event-driven architectures, and middleware patterns that support scalable AI feature delivery - including agentic workflows, intelligent data transformation, anomaly detection, and natural language interfaces layered onto ERP and CRM data
Collaborate with Engineering during build phases, conducting architecture reviews, providing hands-on guidance, and resolving complex technical blockers
Define non-functional requirements - latency, security, auditability, model drift monitoring - for AI components embedded in mission-critical business processes
Establish MLOps and LLMOps practices appropriate for our enterprise environment: model versioning, observability, and rollback procedures for production AI workloads
Requirements:
8+ years of experience in enterprise solutions architecture, systems integration, or a closely related discipline - with a strong track record of designing and delivering production-grade integration platforms at scale
Deep hands-on expertise with Workato or a comparable enterprise iPaaS platform (MuleSoft, Boomi, Azure Integration Services) - including workspace design, governance configuration, and operational management
Demonstrated experience building and integrating across CRM (Salesforce preferred), ERP (NetSuite preferred), and iPaaS platforms at the enterprise level - in production, not just proof-of-concept
Hands-on experience designing or deploying AI/ML features in production enterprise environments - including at least one of: agentic AI systems, LLM-powered workflows, predictive analytics, or intelligent document processing
Strong command of integration patterns: REST/GraphQL APIs, event streaming, ETL/ELT pipelines, webhook-based automation, and API security best practices
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8803959
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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 :)
09/08/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We are seeking a Senior Software Architect to lead and shape the architectural vision of our SaaS healthcare platform, guide the adoption of cutting-edge AI technologies, and ensure our solutions remain scalable, secure, and future-ready. This is a hands-on, strategic leadership role that combines visionary system design, proof-of-concept development, and AI-first innovation enablement.

Responsibilities
1. Architectural Leadership

Define, communicate, and evolve the platforms architectural vision to ensure alignment with business goals.
Lead high-level design discussions and decisions for new and existing products.
Establish and maintain architectural principles, standards, and patterns across all engineering teams to ensure consistency and coherence.
Drive cloud-native architecture in AWS with a strong focus on scalability, availability, performance, and cost efficiency.
2. Innovation & Emerging Technology

Build POCs and pilots for new solutions, frameworks, and AI capabilities.
Evaluate emerging trends in AI, LLMs, MCPs, agents, and developer productivity tools, ensuring strategic adoption where relevant.
Initiate projects/features to solve widespread problems (including work with Support, DevOps, Infosec)
3. AI Tooling Evangelism

Spearhead engineering-wide adoption of AI-assisted development workflows, including developer productivity tools, code copilots, automated quality checks, and automated documentation.
Define best practices, guidelines, and governance for AI usage in development (e.g., Cursor configuration rules, prompt engineering standards).
Educate and mentor teams on effective AI utilization for engineering, product, and operational tasks, taking into account security, costs, and compliance.
4. Technical Governance & Best Practices

Overall ownership of the system scalability, COGS, and stability of the product(s)
Define standards for coding, testing, CI/CD, and monitoring.
Enforce architectural and design reviews for key initiatives.
5. Cross-functional Collaboration

Work closely with Engineering, Product, Data Science, DevOps, and Security teams to deliver well-architected solutions.
Communicate complex technical concepts to non-technical audiences, including executives and external partners.
Requirements:
Proficiency in modern programming languages (e.g., Python, TypeScript, Node.js)
Hands-on experience with AI/ML tooling, including LLM integration, developer productivity platforms, MCP/agent-based architectures, and AI-enhanced workflows.
Strong leadership, mentoring, and decision-making skills.
Excellent written and verbal communication skills in Hebrew and English, with the ability to influence stakeholders at all levels.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8773824
סגור
שירות זה פתוח ללקוחות VIP בלבד
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 :)
09/08/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
1. AI Architecture & Technical Leadership

Guide AI architectural direction across platform, focusing on system design, model lifecycle, and integration of AI components into product workflows.
Act as a senior technical reviewer and thought partner for complex or cross-team AI design decisions.
Provide technical oversight on areas such as exploring new models/technologies/opportunities for the company
Surface architectural risks, tradeoffs, and long-term implications, including cost, security and compliance aspects and clearly advise the VP of AI when certain technical directions should not be pursued.
This role influences judgment, clarity, and experience, not through blocking authority.

2. Hands-on Applied Innovation (Core Pillar | ~50%)

Spend at least 50% of time hands-on, building:
End-to-end AI prototypes
Technical demos and proofs of concept
Exploratory implementations of new AI capabilities
Drive applied innovation that:

De-risks new technologies
Demonstrates feasibility and impact
Informs product direction and business opportunities
Build fast, concrete examples that teams can learn from and extend.
Transition successful prototypes to team ownership for further development and scaling.
This role is expected to lead AI innovation by doing, while working closely with product, medical and engineering

3. Best Practices & Technical Enablement

Define and promote best practices for applied AI development, including:
Rapid prototyping and vibe coding.
Agent design, orchestration, and evaluation patterns
Experimentation, benchmarking, and validation workflows
Help teams align on shared technical patterns, tools, and standards.
Identify opportunities to consolidate duplicated efforts and improve cross-team coherence.
Lead technical deep dives, architecture discussions, and design reviews.
4. AI Compliance & Regulatory Enablement (Technical Scope)

Ensure Navinas AI development practices align with applicable AI regulations for a software product handling sensitive medical data.
Define and guide AI-specific compliance practices, including data usage, transparency, evaluation, and documentation expectations.
Support and contribute to AI-related compliance and regulatory documentation, in close collaboration with Legal, Security, and Medical Research teams.
Serve as a technical point of reference for AI compliance questions.
Requirements:
Proven experience designing and building complex AI systems that have been successfully delivered to production, with an end-to-end understanding of research, architecture, validation, and production handoff.
Strong hands-on experience with modern AI approaches, including Machine Learning, Deep Learning, and LLM-based systems; experience with agentic AI systems or orchestration patterns is a strong advantage.
Demonstrated ability to move quickly from idea to working prototype, with a strong passion for hands-on experimentation and applied innovation.
Experience working in environments involving sensitive data and regulatory constraints, with an understanding of how these considerations shape AI system design.
Excellent system-level technical judgment, including the ability to identify risks, tradeoffs, and unintended consequences in AI systems.
Proven ability to act as a technical leader without formal authority, influencing and guiding senior peers through collaboration and expertise.
Strong communication and interpersonal skills, with the ability to explain complex technical concepts to diverse stakeholders.
Ability to contribute to clear technical and AI-related compliance documentation.
High proficiency in Python and modern AI/ML tooling.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8773917
סגור
שירות זה פתוח ללקוחות VIP בלבד