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לפני 10 שעות
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
This is a broad, hands-on engineering role.

Youll work directly with the founders and own the most challenging parts of the platform end to end.

The focus is backend and infrastructure, but youll work across the full stack whenever a problem calls for it.

Youll help shape the technical direction, and how engineering works as the team grows.

Responsibilities
Own the Challenging Problems - Take the most complex parts of the platform end to end, from architecture through production.
Shape Architectural Decisions - Help define service boundaries, data models, and technical direction as the platform scales.
Build the Core - Design and ship the systems at the heart of the platform.
Scale the Data Pipeline - Build the ingestion, processing, and orchestration layers that move data through the platform reliably.
Own Infrastructure - Shape deployment, observability, and reliability across cloud infrastructure and Kubernetes.
Build End to End - Work across the full stack when the problem calls for it, including the surfaces your services power.
Requirements:
5+ years building and operating production backend systems
Experience with multi-tenant systems and the data isolation they require
Track record of owning architectural decisions on systems running in production
Judgment about which complexity is worth taking on
Youre energized by problems with no defined path - thats the part of the job you want
This position is open to all candidates.
 
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Location: Tel Aviv-Yafo
Job Type: Full Time
As a Senior Software Engineer on the Cortex Platform Application team, you will be a hands-on technical leader responsible for designing, building, and operating critical backend platform services used across Cortex. This role is for an engineer who can combine deep platform/backend expertise with strong ownership, practical execution, and cross-team influence. You will help build scalable and reliable services, guide technical decisions, improve engineering methods, mentor engineers, and raise the quality of how the team designs, ships, documents, tests, and operates its systems. The team owns a broad set of platform capabilities, including areas such as application configuration, dashboards and reporting infrastructure, metrics, multi-tenant and MSSP infrastructure, log forwarding, notifications, auditing, access and permission engines, filtering and querying infrastructure, and other shared application platform domains. We are looking for someone who is not only strong technically, but also enjoys joining a high-performing team, taking ownership from within, and helping turn strong execution into repeatable engineering practice. A successful candidate will quickly become a trusted part of the team by shipping meaningful work, learning the team's domains, and helping others move faster. Over time, this person will help the team increase delivery capacity while also improving how work is designed, documented, tested, operated, and shared across the organization. The right person will not act as an external advisor or abstract architect. They will join the team's day-to-day work, earn trust through execution, and help create organized technical influence from inside the team.
Key Responsibilities
Design, build, and operate scalable, reliable, and secure backend services for the Cortex Platform.
Act as a hands-on technical leader, writing and reviewing production code for critical platform services.
Lead technical design for complex backend and platform domains, balancing long-term architecture with practical delivery.
Own and improve core platform capabilities used by internal engineering teams and Cortex customers.
Drive operational excellence, including observability, monitoring, alerting, incident response, reliability, and participation in on-call.
Improve engineering methods around documentation, testing, design reviews, ownership models, and production readiness.
Mentor senior, mid-level, and junior engineers through design guidance, code reviews, production work, and day-to-day collaboration.
Collaborate closely with product managers, architects, security experts, QA, DevOps, and other engineering teams.
Help internal customers use platform capabilities correctly by creating clarity, alignment, and practical technical guidance.
Identify gaps in systems, processes, and ownership, and lead improvements without adding unnecessary process or friction.
Contribute to a calm, practical, low-ego engineering culture focused on ownership, execution, and continuous improvement.
Requirements:
5+ years of professional experience in backend/platform software development.
Strong hands-on experience with backend development using languages such as Go, Javascript, C++, C#, Ruby, Python, or similar.
Proven experience designing, building, and operating large-scale distributed systems in production.
Strong understanding of software architecture, data modeling, APIs, reliability, observability, and production operations.
Experience working in cloud-based environments.
Ability to lead technical decisions while staying close to the code and implementation details.
Strong ownership mindset, including accountability for production behavior, quality, and long-term maintainability.
Experience mentoring engineers and raising technical standards within a team.
Strong communication skills and ability to influence across teams without relying on authority.
Practical, collaborative, low-ego working style.
This position is open to all candidates.
 
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09/08/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
This is not a typical full-stack position. We're looking for an exceptional Staff / Principal Engineer who can own complex technical domains, shape system architecture, and lead end-to-end development while remaining 100% hands-on. You will report directly to the VP R&D, work closely with them on technical strategy and architecture, gradually take ownership of architectural responsibilities across the platform, and become one of the company's leading technical voices. Along the way you'll help mayors and other city leaders understand their residents and their city in more effective ways, improving the lives of millions of citizens around the world.

Key Responsibilities
Own complex product domains from architecture through production
Lead end-to-end feature development across frontend, backend, and cloud
Drive architectural decisions and technical direction across the platform
Design and build scalable distributed systems
Design and develop AI-powered capabilities as part of the core product
Work closely with the VP R&D on technical strategy and architecture
Mentor engineers through technical leadership (without people management)
Serve as one of the company's technical leaders, influencing engineering standards and long-term technical strategy
Requirements:
7+ years of software engineering experience, with significant experience leading architecture and complex technical initiatives
Background as a Staff Engineer, Principal Engineer, Software Architect, or highly experienced Technical Lead
Strong system design and software architecture experience
Proven experience with agentic coding (Claude Code / Codex / Cursor)
Proven experience owning complex technical domains end-to-end
Experience owning architecture and leading technical direction in a product startup environment
Deep expertise with Node.js, TypeScript, and React
Cloud experience, preferably AWS
Familiarity with containers and Kubernetes
Great interpersonal skills and the ability to collaborate with product, design, and go-to-market teams
Ability to thrive in a fast-paced, delivery-driven environment
It's even better if you have:
Designed and built a POC or product/service from the ground up in a current or previous role
A Bachelor's degree in Computer Science, Engineering, or equivalent relevant experience
Experience working with local government
This position is open to all candidates.
 
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27/07/2026
Location: Tel Aviv-Yafo
Job Type: Full Time
we are looking for a Senior II Software Engineer to join the CX Platform team, the foundational engineering team powering entire Customer Experience group. This is a high-impact, hands-on role at the intersection of backend engineering, AI infrastructure, and customer-facing product.

You'll work across the full platform stack (backend services, data pipelines, security, cost, and scale) with a meaningful and growing focus on AI infrastructure. We own the agentic platform for the entire Product Offering group: from building the LLM infrastructure and agentic workflows to ensuring they're reliable, observable, and safe in production.
What you'll be doing:

Own AI infrastructure for the Product Offering group. Design, build, and evolve the shared AI platform (agentic workflows, LLM integrations, observability, and guardrails) that CX product teams build on.
Ship agentic features end to end. Lead development of AI-driven capabilities using LangChain, LangFuse, and AWS Bedrock, from architecture through production deployment and monitoring.
Drive platform architecture. Set the technical direction for the CX backend (services, data pipelines, API patterns) with an eye for scalability, reliability, and developer experience.
Own core data foundations. Design resilient data-access patterns across Snowflake, Elasticsearch, Kafka, Redis, and MySQL; keep pipelines fast, fresh, and reliable.
Mentor and elevate. Help engineers across the CX group grow in backend craft, AI engineering, and system design thinking.
Collaborate cross-functionally. Work with product, design, and customer-facing teams to turn ambiguous problems into well-scoped, high-quality solutions.
Requirements:
What you'll need:

6+ years of backend engineering experience with strong expertise in Node.js and TypeScript.
Hands-on experience building or integrating LLM-powered features or agentic workflows into a production product (not just internal tooling).
Experience with distributed systems and event-driven architectures, and comfort with stores like Kafka, Redis, Elasticsearch, MySQL, and Snowflake.
Strong familiarity with cloud-native environments. AWS experience is a significant advantage.
Deep systems thinking: you design for scale, resilience, and maintainability from the start.
Experience building customer-facing products alongside product managers and designers.
Excellent communication: you can align engineers, product, and non-technical stakeholders around a technical decision.
Proven ability to own and drive complex initiatives with minimal oversight.
This position is open to all candidates.
 
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03/08/2026
Location: Tel Aviv-Yafo
Job Type: Full Time
We're looking for a Senior Data Engineer to help build next-generation data platform - the lakehouse foundation that will power data processing across the entire product. This is not a "write pipelines on top of someone else's platform" role, and it's not a pure infrastructure role either. It's both, deliberately.

You'll own the platform end to end: the infrastructure it runs on (Spark on Kubernetes, Apache Iceberg, AWS Glue, Airflow), the frameworks and tooling that let dozens of other engineers build on it without reinventing the wheel, and the design of the data pipelines themselves. Everything you build becomes leverage for the teams around you - your abstractions, base images, CI/CD flows, and operational patterns are what make the platform usable at scale.

You'll also own one of the hardest ongoing trade-offs in a high-scale data platform: balancing cost and performance. Compute sizing, storage layout, partitioning and compaction strategy, job scheduling - every decision has a price tag and a latency profile, and you'll be the one making those calls with data.

This role is ideal for an engineer who is equally comfortable debugging a Spark executor OOM on Kubernetes at 10am, designing a clean Python framework API at noon, and modeling the cost impact of a table layout change in the afternoon.



What You'll Do

Platform & Infrastructure

- Design, deploy, and operate our Spark-on-Kubernetes compute platform, including autoscaling, resource tuning, and multi-tenancy considerations.

- Own the lakehouse storage layer built on Apache Iceberg and AWS Glue catalog - table design, partitioning, compaction, schema evolution, and retention.

- Build and operate orchestration on Airflow: DAG standards, deployment flows, environment promotion, and reliability.

- Own production operations of the platform: monitoring, alerting, incident response, and continuous hardening.

Frameworks & Developer Enablement

- Build the code frameworks, libraries, and templates that other engineers use to write pipelines - so that spinning up a new production-grade Spark job is measured in hours, not weeks.

- Define and enforce standards for pipeline structure, testing, observability, and deployment across teams.

- Own CI/CD for data workloads: image builds, artifact promotion, and GitOps-based delivery.

- Act as a technical partner to product and research teams building on the platform - your customers are other engineers.

Data Pipelines & Architecture

- Design and build scalable batch and streaming pipelines processing complex, high-volume datasets from diverse sources.

- Lead large-scale backfills and migration initiatives, ensuring data consistency and integrity across evolving storage and compute platforms.

- Design event-driven data flows over large-scale queue systems (Kafka) for reliable, efficient data movement.

Cost & Performance

- Continuously balance cost against performance: right-size compute, tune queries and jobs, optimize storage layout and file sizes, and choose the correct engine for each workload.

- Build cost visibility and attribution into the platform so trade-offs are made with data, not guesswork.
דרישות:
- 5+ years of experience in software engineering, with meaningful time spent building and operating large-scale data platforms.

- Strong hands-on experience with distributed processing engines (Spark strongly preferred), including performance tuning and debugging in production.

- Practical experience deploying and operating workloads in Kubernetes-based environments - you're not afraid of infra work; you enjoy it.

- Experience building shared frameworks, libraries, or internal tooling used by other engineers, with the product mindset that comes with it (clean APIs, docs, versioning, backward compatibility).

- Strong proficiency in SQL and data modeling: complex analytical queries, query tuning, partitioning strategies.

- Solid software engineerin המשרה מיועדת לנשים ולגברים כאחד.
 
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חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We're hiring a Senior/Principal Site Reliability Engineer to own production reliability for Cortex Agentix Endpoint Security (following an acquisition of KOI Start Up) as it scales. You'll define and operate our SLOs and error budgets, lead high-severity incident response, and ensure our Kubernetes and AWS infrastructure stays stable under growth. You'll also build and supervise the AI agents that handle routine alert triage and monitor tuning, focusing your own time on the reliability engineering that requires human judgment. This role is a strong fit for someone who treats reliability as an engineering discipline and enjoys ownership, incident command, and applying AI to operational work.
Your Impact:
Own reliability as an engineering discipline - define SLIs, set SLOs, and run error-budget-based decision-making so "how reliable are we" becomes a number that governs how fast we ship.
Own production incidents end-to-end - lead response, mitigation, and resolution for high-severity incidents, and drive blameless postmortems that feed real fixes back into the system.
Own the reliability and capacity of production infrastructure as we scale - forecasting headroom, validating scaling behavior under load, and keeping latency and error rates within SLO.
Run and evolve Kubernetes environments so releases and infra changes are safe by default across hundreds of tenant apps.
Own, build, and supervise our SRE AI agents that triage alerts, review monitors, resolves and summarize incidents. Set and expand the trust ladder that governs what the agents do autonomously, what needs approval, and what stays human. This is a core part of the role.
Improve observability and incident response - raise signal quality, cut alert noise, and own the monitoring the triage agents depend on.
Eliminate toil - relentlessly identify manual, repetitive operational work and remove it through automation and agents, protecting engineering time for reliability work that only humans can do.
Analyze operational data across incidents, alerts, deployments, infra health, and cost to find reliability gaps, capacity risks, and automation opportunities.
Evaluate and introduce new tools and AI-assisted approaches, balancing innovation with reliability, cost, and operational simplicity.
Requirements:
Your Experience:
5+ years operating production cloud infrastructure, with a strong reliability focus (SRE, or DevOps/platform engineering with reliability ownership).
Deep hands-on experience with Kubernetes, Helm, ArgoCD, Terraform, and CI/CD.
Experience defining and operating SLIs, SLOs, and error budgets - or a clear grasp of the discipline and the drive to establish it from scratch.
Strong observability and alerting experience in Datadog or comparable platforms, including raising signal-to-noise in production.
Proven incident-response instincts - comfortable owning high-severity incidents and a genuine believer in blameless postmortems.
Proven ability to own platform and reliability projects end-to-end, from design through production operation and ongoing improvement.
Strong troubleshooting across distributed systems, Kubernetes, CI/CD, and live incidents.
Collaborative mindset - comfortable working across engineering, security, product, and leadership.
Comfort in a fast-paced, high-ownership environment where priorities shift but production quality doesn't.
Genuine interest in applying AI, automation, and intelligent workflows to operational work - and in building and supervising agents, not just using them.
Ownership-driven - You take responsibility for the reliability of the systems you build and operate, from SLO definition through incident command and continuous improvement.
Reliability as engineering - You treat reliability as a software problem to be solved with code, measurement, and automation - not an ops queue to be worked by hand.
This position is open to all candidates.
 
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Location: Tel Aviv-Yafo
Job Type: Full Time
We are looking for a Platform Security Director to lead the engineering of our security infrastructure. Your mission is to build a Security Machine that is as sophisticated as our AI. You will move us beyond traditional "defense" into a "Secure-by-Default" reality, where our multi-cloud infrastructure (AWS and Azure) is hardened, automated, and resilient by design.
Youll Own:
The end-to-end security strategy across Application Security, Cloud (AWS/Azure), and Platform layers, ensuring a Secure-by-Default framework, as measured by deployment coverage, critical vulnerability reduction, and developer adoption metrics.
A unified Security Engineering organization covering AppSec, SecDevOps, and AI Security leadership, collaboration points with adjacent teams (Infrastructure, R&D, Product Engineering), and building and mentoring a high-performing team.
Lead our Platform Security domain - from Layer 7 protections to AWS architecture, security tooling, automated risk scoring, and AI-assisted automation workflows that improve detection and remediation times.
Security controls (WAF, Rate Limiting) embedded into the SDLC and CI/CD pipelines, including mandatory security gates, artifact scanning, and automated deployment checks.
Lead our AI strategy - enabling secure use in our platform products as well as for our internal engineering usage, and scaling AI security governance and controls.
The evolution of scalable infrastructure security, including Kubernetes, containers, IAM, and Zero Trust architectures, strengthening Kubernetes and cloud security posture.
Own and execute the comprehensive Vulnerability Management program, from discovery (SAST/DAST/OSS scanning) through remediation tracking, and manage the external Bug Bounty program, with a focus on improving remediation SLAs and automation coverage.
Mature secure-by-default engineering practices across the SDLC.
Increase developer adoption of automated security tooling.
Youll Solve:
Eliminating manual bottlenecks through code-driven guardrails and frictionless developer experiences.
Securing complex production systems and multi-tenant AI architectures in cloud-native production environments, with a focus on model integrity, training data provenance, data exfiltration prevention, and minimizing unique risks associated with Large Language Models (LLMs), by applying specific AI threat models.
Operationalizing Red/Purple Team exercises, penetration testing, and the Bug Bounty program to ensure a continuous feedback loop that drives proactive risk reduction.
Youll Impact:
Support a culture where security is embedded into the foundation of engineering
Turn security into a strategic product advantage and customer trust differentiator
Improve developer experience by making the secure path the easiest path
Increase engineering velocity while strengthening platform resilience
Shape the future intersection of Security, AI, and Platform Engineering
Create scalable systems, processes, and relationships that grow with the companys innovation pace.
Requirements:
An Experienced Leader: 10+ years in Security/Software Engineering with a track record of scaling departments in high-growth R&D environments.
A Technical Architect: Deep expertise in AWS/Kubernetes and modern platform security practices, Infrastructure-as-Code (Terraform/Crossplane), and secure coding (Java/Python/TypeScript).
A Systems Thinker: You have a proven track of building security machines from the ground up, with a people-first mindset, technology, and process.
Your work ensures that as our company defines the future of AI-driven revenue, we do so on the most secure and resilient platform in the industry, building customer trust and promoting responsible AI adoption.
This position is open to all candidates.
 
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30/07/2026
Location: Tel Aviv-Yafo
Job Type: Full Time
We're looking for a Software Engineer to join our core engineering team and help build the infrastructure behind one of the fastest-growing AI APIs. You'll work on systems that handle massive scale across a distributed microservices architecture running on AWS. You'll ship fast, take ownership of critical systems, and solve hard infrastructure problems as we grow.

This is a great role for an engineer who loves building ambitious systems from scratch, and wants to tackle the kind of scale and complexity challenges typically reserved for much larger companies.

What Youll Do

Design and build high-performance distributed systems

Design and implement backend infrastructure and API endpoints

Build and optimize real-time data pipelines that process billions of events per day across distributed queues and stream processors

Improve performance, monitoring, and reliability across the stack

Own core systems and contribute to key architectural decisions

Help shape a strong engineering culture focused on velocity and quality
Requirements:
What You Bring

5 years of professional software engineering experience

Strong backend development skills

Proven experience designing and operating large-scale, distributed systems, with a solid understanding of API design, reliability, and performance at scale

Hands-on expertise with AWS infrastructure and cloud-native services, bringing practical knowledge of deploying and managing services in real-world environments

Comfortable in a fast-paced startup environment with lots of ownership

Strong sense of ownership and accountability over outcomes

Curiosity about LLMs, retrieval and the future of AI systems, with a drive to stay at the forefront of new technology

Based in Tel-Aviv or open to relocating
This position is open to all candidates.
 
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06/08/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We're hiring a Senior/Principal Site Reliability Engineer to own production reliability for Cortex Agentix Endpoint Security (following an acquisition of KOI Start Up) as it scales. You'll define and operate our SLOs and error budgets, lead high-severity incident response, and ensure our Kubernetes and AWS infrastructure stays stable under growth. You'll also build and supervise the AI agents that handle routine alert triage and monitor tuning, focusing your own time on the reliability engineering that requires human judgment. This role is a strong fit for someone who treats reliability as an engineering discipline and enjoys ownership, incident command, and applying AI to operational work.
Your Impact:
Own reliability as an engineering discipline - define SLIs, set SLOs, and run error-budget-based decision-making so "how reliable are we" becomes a number that governs how fast we ship.
Own production incidents end-to-end - lead response, mitigation, and resolution for high-severity incidents, and drive blameless postmortems that feed real fixes back into the system.
Own the reliability and capacity of production infrastructure as we scale - forecasting headroom, validating scaling behavior under load, and keeping latency and error rates within SLO.
Run and evolve Kubernetes environments so releases and infra changes are safe by default across hundreds of tenant apps.
Own, build, and supervise our SRE AI agents that triage alerts, review monitors, resolves and summarize incidents. Set and expand the trust ladder that governs what the agents do autonomously, what needs approval, and what stays human. This is a core part of the role.
Improve observability and incident response - raise signal quality, cut alert noise, and own the monitoring the triage agents depend on.
Eliminate toil - relentlessly identify manual, repetitive operational work and remove it through automation and agents, protecting engineering time for reliability work that only humans can do.
Analyze operational data across incidents, alerts, deployments, infra health, and cost to find reliability gaps, capacity risks, and automation opportunities.
Evaluate and introduce new tools and AI-assisted approaches, balancing innovation with reliability, cost, and operational simplicity.
Requirements:
Your Experience:
5+ years operating production cloud infrastructure, with a strong reliability focus (SRE, or DevOps/platform engineering with reliability ownership).
Deep hands-on experience with Kubernetes, Helm, ArgoCD, Terraform, and CI/CD.
Experience defining and operating SLIs, SLOs, and error budgets - or a clear grasp of the discipline and the drive to establish it from scratch.
Strong observability and alerting experience in Datadog or comparable platforms, including raising signal-to-noise in production.
Proven incident-response instincts - comfortable owning high-severity incidents and a genuine believer in blameless postmortems.
Proven ability to own platform and reliability projects end-to-end, from design through production operation and ongoing improvement.
Strong troubleshooting across distributed systems, Kubernetes, CI/CD, and live incidents.
Collaborative mindset - comfortable working across engineering, security, product, and leadership.
Comfort in a fast-paced, high-ownership environment where priorities shift but production quality doesn't.
Genuine interest in applying AI, automation, and intelligent workflows to operational work - and in building and supervising agents, not just using them.
Ownership-driven - You take responsibility for the reliability of the systems you build and operate, from SLO definition through incident command and continuous improvement.
Reliability as engineering - You treat reliability as a software problem to be solved with code, measurement, and automation - not an ops queue to be worked by hand.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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תודה על שיתוף הפעולה
מודים לך שלקחת חלק בשיפור התוכן שלנו :)
05/08/2026
Location: Tel Aviv-Yafo
Job Type: Full Time
We are looking for an experienced and highly capable Principal/Senior Software Engineer to join the Koi team. This role is focused on building and scaling a complex, high-impact product that operates across large-scale enterprise environments. As a Principal Engineer, you will take ownership of major parts of the system and work across the full stack, including backend services, data pipelines, frontend applications, and endpoint/agent code. You will play a key role in shaping the architecture of Koi as it grows, ensuring the system remains scalable, reliable, and easy to evolve.
Key Responsibilities
Design and build scalable, high-performance systems across the full Koi stack
Own architecture and technical direction for critical components
Work across backend, data, frontend, and agent code
Tackle complex challenges related to scale, reliability, and performance
Drive best practices in system design, testing, and observability
Collaborate closely with product, security, and customer-facing teams
Identify and resolve bottlenecks and architectural limitations
Mentor other engineers and raise the overall technical bar of the team.
Requirements:
Required Qualifications
Extensive experience building and scaling distributed systems
Strong backend engineering skills, with ability to work across the full stack
Experience with data-intensive systems and pipelines
Ability to design systems that operate reliably at scale
Strong problem-solving skills and ownership mindset
Experience mentoring engineers and leading technical initiatives
Preferred Qualifications
Experience with public cloud platforms (AWS, GCP, Azure)
Familiarity with containerization and orchestration technologies (e.g., Docker, Kubernetes)
Proficiency in languages such as Go, Python, or Java
Experience with modern frontend frameworks like React or Vue.js.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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עדכון קורות החיים לפני שליחה
8770052
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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 :)
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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