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05/08/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time and Hybrid work
Required Senior Software Engineer
Responsibilities:
Own, enhance, and improve our core platform
Build and maintain systems for collecting and processing metrics from client environments
Focus on system efficiency and resilient infrastructure
Integrate well-known SaaS platforms into our big data repository (e.g., major cloud providers, Datadog, Snowflake)
Optimize Spark and Airflow processes
Contribute to data design and platform architecture while working closely with other business units and engineering teams
Face the challenges of testing and monitoring large-scale data pipelines.
Requirements:
7+ years of experience developing and operating large-scale, high-availability systems
7+ years of experience with Python (Experience with Go is a plus)
Experience working with cloud environments (AWS preferred) and big data technologies (Spark, Airflow, S3, Snowflake, EMR)
Familiarity with metrics systems (e.g., Prometheus, cloud monitoring APIs) or time-series data - a strong plus
Autodidact, self-motivated team player with strong communication skills and a passion for solving challenges at scale.
This position is open to all candidates.
 
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09/08/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We are now hiring a talented, self-driven and passionate Senior Data Engineer to build and maintain optimized and highly available data pipelines that facilitate deeper analysis and reporting.
What Youll Do:
Design, develop, and maintain scalable data pipelines that integrate data from multiple sources, including APIs, databases, streaming platforms, edge computing devices, cloud services, and on-premise systems.
Design reliable and business-critical data processing workflows for batch and real-time use cases.
Develop data access services and APIs that enable efficient communication between edge devices, cloud infrastructure, and on-premise environments.
Design and optimize storage solutions for structured, semi-structured, and high-dimensional sensor data to support AI model training, inference, and analytics.
Strong understanding of distributed systems and scalable data processing architectures.
Build and maintain scalable streaming data pipelines for low-latency processing and event-driven architectures.
Analyze existing data architecture, storage models, and processing workflows, and continuously improve performance, scalability, reliability, and maintainability.
Optimize cloud infrastructure and data storage costs while maintaining high availability and low-latency access.
Collaborate closely with Software, AI, Algorithms, DevOps, and Product teams to translate business requirements into scalable technical solutions.
Design monitoring, observability, and operational processes for data platforms.
Requirements:
Bachelors degree in Computer Science, Engineering, Mathematics, or a related quantitative field.
5+ years of professional experience in Data Engineering or a related role.
Strong experience designing and implementing large-scale data pipelines using orchestration frameworks such as Apache Airflow, Prefect, or similar.
5+ years of software development experience, including at least 2 years of Python development.
Strong knowledge of relational and NoSQL databases such as PostgreSQL, MySQL, MongoDB, Elasticsearch/OpenSearch, ClickHouse, or similar technologies.
Experience designing and implementing streaming and event-driven data architectures using technologies such as AWS Kinesis, Amazon SQS, RabbitMQ, Kafka, or similar messaging systems.
Experience designing REST APIs and backend services (FastAPI or similar frameworks).
Experience working with AWS cloud services (S3, EC2, Lambda, CloudWatch, IAM, etc.).
Experience with Git, Docker, CI/CD pipelines, and modern software engineering practices.
Excellent communication and collaboration skills with engineering, AI, and Product teams.
Self-driven, innovative, and continuously looking for ways to improve systems and processes.
Great to Have:
Experience with Kubernetes and container orchestration.
Experience with distributed computing platforms and distributed data processing systems.
Experience building ML data pipelines supporting training and inference workloads.
Experience working with large-scale sensor, IoT, or time-series data.
Experience with monitoring and observability tools such as Grafana, Prometheus, ELK, Kibana, or OpenSearch.
Experience working in edge computing or hybrid cloud environments.
This position is open to all candidates.
 
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03/08/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
we are seeking a highly skilled Backend Engineer to join our dynamic team. The ideal candidate will have expertise in Backend technologies, with a strong focus on cloud infrastructures and event-driven architecture. This role will be central to developing and maintaining robust, scalable, and high-performance solutions that secure machine and non-human identities in cutting-edge ecosystems.

What Youll Do
Design, develop, and maintain efficient and scalable cloud-native backend systems with a focus on securing token-based and machine identities.
Build and enhance API integrations with third-party applications to facilitate secure data collection and sharing.
Own the architecture of NHI agent services, ensuring scalability, networking efficiency, robust security, and data storage optimization.
Develop advanced monitoring and automation tools to maintain system stability and deliver performance benchmarks.
Design and implement big data solutions and pipelines for large-scale data processing and analytics using tools like Spark and Snowflake.
Take ownership of projects, driving them end-to-end from ideation and design to development, deployment, and maintenance.
Work collaboratively with cross-functional teams to define, design, and launch innovative features tailored to the NHI ecosystem.
Drive a customer-first mindset by understanding the users' needs and developing solutions that exceed expectations.
Requirements:
6+ years of experience as a Backend Engineer, with a track record of building and maintaining scalable backend systems.
Expertise in event-driven architecture and building microservices for large-scale applications.
In-depth knowledge of cloud platform services (AWS preferred, GCP/Azure experience is a plus).
Practical experience with containerized environments
Familiarity with queuing and messaging systems, such as SQS, Kafka, or RabbitMQ.
Strong understanding of security best practices, particularly in securing token-based systems and non-human identities.
Bonus: Familiarity with Python, TypeScript, CI/CD pipelines, and infrastructure-as-code tools like Terraform.
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 and Hybrid work
As a Senior Platform Engineer you will help deliver a smooth and consistent developer experience to our product/AI teams. This enables them to iterate quickly and deliver products faster to the market. The team aims to streamline development processes, reduce friction and provide developers with the right tools and infrastructure to build high-quality software efficiently which effectively aligns technical execution with our business objectives. Our techstack includes AWS, Python, RDS, EKS, ECS, RMQ and Redis.

You will:
You will have a direct impact on devs' daily smile :) , by focusing on their Devex and velocity through implementing and providing easy and intuitive self serve tools

Lead the design and implementation of infrastructure of complex, time-critical microservices systems, collaborating with AI, data, and product teams to ensure high-quality code using latest technologies while maintaining high developer velocity.

Drive improvements to backend infrastructure, focusing on scalability, reliability, and performance to enhance the daily experience and productivity of developers, including implementing intuitive self-serve tools.

Contribute to defining and realizing the technology vision of the company, evaluating and integrating new technologies to enhance platform capabilities including Gen AI, and troubleshooting complex issues to ensure platform performance and availability. Proactively establish and maintain CI/CD practices and processes including hybrid envs.

Enhance system scalability, performance, and reliability.
What success looks like:

Leading the design and implementation of infrastructure for complex microservices systems, ensuring high-quality code, and maintaining a high pace of development while collaborating effectively with other teams.

Driving improvements to the backend infrastructure, focusing on scalability, reliability, and performance to enhance the daily experience and productivity of developers.

Contributing to the company's technology vision by evaluating and integrating new technologies, including Gen AI, and troubleshooting complex issues to ensure platform performance and availability.

Working closely with development teams to support architecture best practices and enhance system scalability, performance, and reliability.

Mentoring and advising other team members in code review, performance, scalability, and more.

Demonstrating excellent communication and collaboration skills, and being a team player with a highly motivated, can-do approach.
Requirements:
We are looking for:

Minimum of 6 years BE/ platform experience with proven experience as a Platform Engineer or similar role

Knowledge of microservices architecture and distributed systems principles.

Hands-on experience with CI/CD systems such as github actions, Gitlab, Jenkins etc.

Familiarity with monitoring and logging tools (e.g., Prometheus, ELK stack) and concepts for proactive system management.

Strong communication skills and the ability to effectively communicate technical concepts with excellent problem-solving skills and ability to thrive in a fast-paced, collaborative environment.

Hands-on experience with containerization technologies (e.g., Docker, Kubernetes) and container orchestration platforms.

An autodidact that is eager to learn new technologies with a strong background in cloud infrastructure management is a big advantage.

Proficiency in high level language such as Python or similar and familiarity with bash and linux shell commands.
This position is open to all candidates.
 
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02/08/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
Were looking for a Senior Infrastructure Engineer who views "Infrastructure as Software." In 2026, we dont just manage servers; we build high-performance environments that allow multi-agent systems to operate at scale.
You will be a core member of the R&D team, blending deep DevOps expertise with the coding rigor of a Backend Engineer. You arent just "configuring" AWS; you are architecting the distributed systems and data pipelines that power our autonomous security brain. Your mission is to ensure that while our agents are evolving and taking actions, our underlying platform remains immutable, observable, and infinitely scalable.
What You'll Do
Design, build, and operate our company's cloud infrastructure using AWS, Kubernetes, and Infrastructure as Code.
Build internal tools and platform services using Python and Go to improve developer productivity and system reliability.
Own infrastructure automation with Terraform, Pulumi, and modern cloud-native tooling.
Partner closely with Backend, Data Science, and Security Engineering teams to build scalable, reliable platforms.
Improve observability, monitoring, and incident response across distributed production systems.
Design and optimize infrastructure for performance, scalability, security, and cost efficiency.
Help shape engineering best practices, platform architecture, and developer experience as our company continues to grow.
Requirements:
5+ years of experience in Infrastructure, DevOps, Platform Engineering, or Backend Engineering.
Strong software engineering skills with hands-on experience building production systems in Python or Go.
Deep hands-on experience with AWS, including services such as EKS, RDS, VPC, and IAM.
Strong experience designing, operating, and scaling production Kubernetes environments.
Experience with Infrastructure as Code, CI/CD, GitOps, and modern cloud-native development practices.
A systems mindset with the ability to solve architectural challenges across infrastructure and application layers.
Comfortable using modern AI-powered developer tools and agentic workflows to improve engineering productivity.
The company Mindset: You take ownership, act with accountability, collaborate openly, and focus on delivering meaningful impact. You thrive in fast-moving environments, embrace ambiguity, and enjoy solving hard problems together.
Bachelor's degree in Computer Science, Software Engineering, or equivalent practical experience.
Full professional fluency (written and verbal) in both Hebrew and English.
This position is open to all candidates.
 
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2 ימים
Location: Tel Aviv-Yafo
Job Type: Full Time
We are looking for a Lead Software Engineer - Innovation Team to join our growing our new engineering innovation team who build our new product offering with our clients!
Engage is' newest product line - a small, fast-moving team operating like a startup inside the company. While ' core offering helps customers acquire better users and spend less doing it, Engage turns that intelligence inward: re-activating churned, dormant, and low-value users who are already on our customers' platforms. As a Senior Software Engineer, you'll work directly alongside the team's engineering lead, building the systems that take machine-learning predictions about user behavior and turn them into automated, continuously-learning decisions delivered straight into our customers' DB and CRM tools. This is a role with no narrow lane - you'll touch literally everything: data pipelines, ML and algorithms, applicative backend services, and even the UI. You'll partner closely with a VP Product and senior data scientists in a high-ownership environment where you shape the architecture, ship to production, and see your work drive a brand-new revenue stream for the company.
Requirements:
5+ years of hands-on experience building large-scale, production cloud systems end-to-end - architecture design, development, testing, and operating them in production.
Strong, broad software engineering foundations: solid grasp of software design principles, concurrency, data structures, and cost/performance trade-offs, and the judgment to know when each matters.
Hands-on experience with cloud-native, event-driven architectures (e.g. AWS Lambda and batch, SQS, S3 - or equivalent) and with modern data warehouses such as Snowflake / BigQuery / Databricks and pipeline tooling (dbt / Airflow / Spark / Glue).
Comfortable working across the whole stack and across domains: data pipelines, backend/applicative services, and a willingness to reach into ML/algorithmic code and frontend/UI when the work calls for it. You're a generalist who isn't scared of unfamiliar territory.
Proficiency in Python or a similar general-purpose language (e.g. Go, Java, Scala, C#, TypeScript/Node) - and the adaptability to pick up Python, our primary language, quickly.
A genuine "can-do" attitude and a strong sense of ownership - comfortable being accountable for systems end-to-end on a small team.
A team player with excellent communication skills, strong independent-learning ability, and the curiosity to explore new fields and constantly improve.
BSc in Computer Science / Engineering or equivalent (MSc an advantage).
Advantage:
Experience with applied ML / experimentation systems - recommendation, ranking, bandits, A/B testing, or causal inference.
Frontend / UI experience (we build our own dashboards and config tooling).
Containers and orchestration - Docker, Kubernetes, ArgoCD.
Infrastructure-as-code - Pulumi or Terraform.
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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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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1 ימים
Location: Tel Aviv-Yafo
Job Type: Full Time
Were launching a new Financial Infrastructure team at our company to build the next generation of our payments and platform capabilities from the ground up. This is a founding engineering role in our Tel Aviv office, with significant ownership, autonomy, and technical influence from day one.
Youll design and build foundational systems that power our companys platform, working on high-impact, mission-critical services and helping set the technical bar for the team.
What youll do:
Own features end-to-end - Take ideas from early concept through production. You wont just write code - youll ship real systems, iterate quickly, and see the impact of your work in production.
Think beyond the task - Take initiative, understand the broader system and business context, and help drive both product and technical decisions. This is not a ticket-driven role.
Leverage AI-accelerated development practices - Use modern AI coding tools to improve development velocity, code quality, and testing efficiency while building robust, secure, and scalable infrastructure.
Backend-focused, full-stack mindset - Your core focus will be backend systems, but youre comfortable operating across APIs, data, infrastructure, and DevOps when needed.
Design for scale - Build backend services that are reliable, maintainable, and architected to scale with the platform.
Requirements:
7+ years of professional software engineering experience, with a strong backend focus
Proven experience building or operating large-scale payment infrastructure systems within fintech, payments, or high-volume transaction environments
Proven experience owning real-time, mission-critical systems where low latency, correctness, and high availability are non-negotiable
BSc in Computer Science or equivalent hands-on experience
A builders mindset, with a track record of taking complex systems from idea to production and scaling them in production
Comfortable operating across the stack when needed, from APIs and business workflows to infrastructure and deployment
Production experience with Python and Go, building scalable backend and high-performance services
Deep experience building and operating systems on GCP
A modern engineering mindset, with strong instincts for using automation and AI tools to increase impact and velocity
A high bar for quality and a willingness to challenge yourself and the team
Clear communication skills and the ability to collaborate effectively in small, senior teams.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8797660
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חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
we are looking for a Senior Full Stack Engineer to join our Engineering team. In this role, you will lead the design and development of end-to-end features across our gifting platform, with a strong focus on backend architecture. Youll play a key role in shaping scalable systems, driving technical decisions, and delivering high-impact solutions in a fast-growing, cloud-based SaaS environment.

Working with modern technologies such as React, Node.js, TypeScript, Serverless architecture, and Kafka, you will collaborate closely with product, design, and data teams to build reliable, performant, and user-centric experiences. You will also help evolve our engineering standards, development processes, and use of emerging tools-including AI-to improve team productivity and product quality.



You will
Lead the design and implementation of complex, scalable systems end-to-end (frontend and backend, with backend focus)

Own projects from ideation through production, including architecture, development, deployment, and monitoring

Make and influence key technical decisions, balancing speed, scalability, and maintainability

Collaborate cross-functionally to translate business needs into robust technical solutions

Drive best practices in code quality, testing, observability, and security

Mentor engineers through code reviews, design discussions, and knowledge sharing

Continuously improve development processes, tooling, and team efficiency

Contribute to a strong engineering culture of ownership, accountability, and continuous learning
Requirements:
7+ years of experience in full stack development (with a strong backend orientation)

Proven experience designing and building scalable, distributed systems in production environments

Deep expertise in Node.js and TypeScript

Strong experience with modern frontend frameworks (React) and advanced JavaScript/TypeScript

Solid understanding of system design, APIs (REST/OpenAPI), and microservices architecture

Experience working with both NoSQL and relational databases. Proficiency with MongoDB and/or PostgreSQL is required, including schema design, query optimization, and handling production-scale data.

Hands-on experience with relational and non-relational databases

Experience working with event-driven architectures (e.g., Kafka, queues, pub/sub systems)

Experience with cloud platforms and serverless architectures (e.g., AWS Lambda)

Experience applying AI-powered development tools (e.g., GitHub Copilot, Cursor) to improve productivity. Familiarity with MCPs and AI agents is a must.

Strong problem-solving skills with the ability to operate independently and take initiative

Excellent communication skills and ability to collaborate across teams

Fluent in English
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8746468
סגור
שירות זה פתוח ללקוחות VIP בלבד