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חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
As a Data Engineer, you will join a talented team of engineers, in charge of our core data infrastructure, while working closely with other engineering and data teams. You will lead the development of complex solutions, work on various cutting edge technologies, and be a critical part in our mission to shape the future of transportation, affecting tens of thousands of riders daily worldwide.

What Youll Do:
Design, build, and maintain scalable data platforms, pipelines, and solutions for data ingestion, processing and orchestration, leveraging Kubernetes, Airflow, Kafka and more.
Develop and manage cloud-based data solutions on AWS utilizing Infrastructure as Code (IaC) frameworks like Terraform or CloudFormation
Manage Snowflake environments, including database architecture, resource provisioning, and access control.
Ensure system reliability and observability with monitoring, logging, and alerting tools like Prometheus and CloudWatch.
Continuously optimize storage, compute, and data processing costs and performance.
Requirements:
BSc. Computer Science, Engineering or similar.
Minimum of 4 years of professional experience in data engineering
Minimum of 4 years of professional experience in backend or software development
Independent, responsible, ready to face challenges head-on
Passionate about data engineering and constantly expanding your knowledge
Excellent communication and strong analytical and problem-solving skills
Proficient in Python
Experience with Data streaming, Kafka, Airflow, cloud platforms (preferably AWS), k8s, terraform or equivalents.
Have a solid background working with data warehousing technologies, such as Snowflake, Databricks, Redshift, BigQuery, etc.
This position is open to all candidates.
 
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07/04/2025
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We are looking to hire a talented, self-driven and passionate Senior Infrastructure Engineer to build and maintain the cloud infrastructure for our highly available SaaS application as well as our machine learning and data engineering stack.

As a Senior Infrastructure Engineer, you will be responsible for designing, implementing, and maintaining the cloud infrastructure and DevOps processes that power our products and internal tooling. You will work closely with all data and development teams and lead the companys security and compliance vectors. You will ensure a highly reliable, scalable, and secure infrastructure that supports our rapid growth and product innovation, while maintaining observability and cost-effectiveness of our cloud resources and data.

Responsibilities:
Cloud Infrastructure Management: Architect, deploy, and manage our cloud infrastructure (AWS), ensuring high availability, scalability, and security.
Software Engineering: Be a top notch SW engineer, harnessing your coding and architectural skills, as well as researching skills, for our infra stack.
Infrastructure as Code (IaC): Define and maintain infrastructure using tools like Terraform, CloudFormation, or Pulumi to manage resources efficiently and reproducibly.
Monitoring & Incident Management: Build and manage monitoring and alerting systems to ensure uptime, and respond to incidents with root cause analysis and remediation.
DevOps & Automation: Implement and maintain CI/CD pipelines to streamline development workflows and automate deployment processes across development, staging, and production environments, and across different parts of our solution. While our development teams are expected to write and maintain their own CI, you will act as a supervisor and professional authority, and maintain cross team and complex automation.
Collaboration and technical leadership: Partner with software engineers, data engineers, and machine learning teams to support their infrastructure needs and guide the evolution of our infrastructure team.
Cost Optimization: Monitor cloud spend and optimize resources to ensure cost-effective infrastructure without sacrificing performance or security.
Security & Compliance: Implement security best practices, including access control, network security, monitoring and ensuring the infrastructure is compliant with relevant industry standards (e.g., SOC2, GDPR).
דרישות:
Requirements:
Experience: 5+ years of hands-on experience in cloud infrastructure, DevOps and platform engineering in production environments.
Cloud Platforms and IaC: Expertise in managing cloud infrastructure on at least one of the major providers: AWS, GCP, Azure. Proficient in Infrastructure as Code tools such as Terraform, CloudFormation, or Pulumi.
Containerization & Orchestration: Solid experience with Docker and Kubernetes.
Monitoring & Logging: Hands-on experience with monitoring tools (Prometheus, Grafana) and logging systems (ELK, Splunk, or equivalent).
Software Engineering: Proficient Software engineering, architecture, as well as scripting languages such as Python, Bash, or Go. Full control of version control systems such as Git.
DevOps Tools: Strong experience with CI/CD pipelines and automation using Jenkins, CircleCI, GitHub Actions, GitLab CI, or similar.
Networking: Strong understanding of cloud networking, VPNs, VPCs, DNS, and firewalls.
Security Best Practices: Experience implementing cloud security best practices, including IAM, encryption, and key management.
Startup Experience: Previous experience in a fast-paced startup environment, where adaptability and hands-on execution are key.
Team Player: Strong communication skills and ability to work cross-functionally with different teams.

Advantages:
ML Infrastructure: Experience supporting machine learning pipelines and deploying ML models to production environments.
Data Engineering: Familiarity with data engineering tools like Apache Spark, Airflow, or similar.#EN המשרה מיועדת לנשים ולגברים כאחד.
 
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18/04/2025
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
Were looking for a Senior Data Platform Engineer to join our Data Platform team. The ideal candidate will have extensive experience with data engineering, specifically with Kafka and Elasticsearch, to design and maintain our data platforms. You will work closely with cross-functional teams to ensure the scalability and reliability of our data solutions.

Job Summary:
As a Senior Data Platform Engineer, you'll be responsible for design, development, maintenance, troubleshooting, and implementation of our big data architecture. Your expertise in Elastic, Kafka, and Java will be critical in ensuring the scalability and performance of our data systems.

What youll do:

Implement data processing pipelines using Kafka for real-time data streaming.
Optimize and manage search capabilities using Elastic technologies.
Collaborate with product managers, data analysts, and other stakeholders to gather requirements and translate them into technical specifications.
Oversee code reviews, ensure best practices in coding and data handling, and maintain high-quality standards in software development.
Stay up-to-date with emerging trends and technologies in big data and recommend improvements to our architecture and processes.
Troubleshoot and resolve issues in a timely manner to minimize downtime and ensure system reliability.
Requirements:
Bachelors degree in Computer Science, Engineering, or a related field; Masters degree preferred.
8+ years of experience in the software engineering field.
5+ years of experience in big data technologies, with a focus on Elastic and Kafka.
Proficiency in Java programming and experience with related frameworks.
Strong understanding of data modeling, ETL processes, and data warehousing.
Excellent problem-solving abilities and strong analytical skills.
A solid understanding of CI/CD principles.
Experience working with both external and in-house APIs and SDKs
Advantages:

Experience with Docker, Kubernetes
Experience with cloud platforms (e.g., AWS or Azure)
This position is open to all candidates.
 
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חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
As a Senior Data Engineer, youll join a super-talented & motivated engineering team responsible for our Data Engineering team and will take a key role in our site in TLV. You will lead development and work with complex transportation data, design streamlined systems to process data from ride bookings, payments, and more, ensuring its clean, fast and serves our business needs.

What You'll Do:
You will be responsible for scalable data, pipeline, and backend services with challenging data algorithms.
Participate in the end-to-end development cycle of architecture, design, development, QA, deployment, and monitoring.
Work with talented engineers, and a broad forum of experts and stakeholders to create a stable and scalable product.
Build highly scalable, efficient, and available data pipelines/solutions, serving our data across the organization and to stakeholders.
Monitor data quality, proactively correcting discrepancies ensuring data reliability & accuracy.
Requirements:
Passionate about data, with the ability to translate business needs into effective data models.
A self-driven learner, comfortable working independently in a complex technological environment.
Technologically curious, capable of identifying needs, designing POCs, and implementing scalable solutions.
Minimum of 4+ years of experience as a Data Engineer or BI developer- Must.
Minimum of 4+ years of experience with Python / SQL - Must.
Experience with DBT/ Airflow - a big advantage.
Experience with processing data over ICBERG storage - a big advantage.
Experience working with BI tools such as Looker/ Tableau - advantage.
Experience in executing Big Data solutions and in processing Relational DBs - Advantage.
Experience working with AWS big data tools, like: Glue, EMR, Athena,etc - advantage.
BSc/MSc in Computer Science or equivalent.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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09/04/2025
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We are looking for an experienced Backend Infra Engineer with good DevOps orientation to join our Infrastructure team in order to keep building out our products and services to support new and exciting functionalities.

You Will:
Tackle complex challenges: Work on highly available, cloud-native applications used by millions of customers globally, handling millions of transactions monthly.
Immerse in the Fintech industry: Gain deep knowledge of Fintech, including payments, banking systems, fraud prevention, and more.
Sharpen technical skills: Collaborate with a strong engineering team to plan, implement, and maintain our cloud environment, profile and fine-tune services, and improve security.
Join a high-performing team: Work alongside highly experienced DevOps, Infrastructure, and Security engineers.

Responsibilities:
Manage cloud operations, monitoring, and develop tools, including integration of modern OSS tools.
Take ownership of our infrastructure and cloud architecture.
Develop and maintain CI/CD pipelines for cloud, web, and mobile applications.
Own the data infrastructure and continuously improve its scalability and readiness.
Guide R&D team developers in deploying their applications.
Build solutions to monitor, improve uptime, enhance performance, and ensure system stability (SRE).
Uphold high engineering standards for execution, code quality, and customer satisfaction.
Work across multiple cloud environments, including AWS, GCP, and Cloudflare.
Requirements:
Bachelors degree in Computer Science, Software Engineering, or equivalent industry experience.
4+ years of hands-on experience in building and maintaining large-scale, highly available cloud production infrastructure.
Proficient coding skills in Node.js, Python, or Golang.
Strong understanding of distributed systems and complex production environments.
Experience with Infrastructure as Code (IAC) tools such as Terraform, Pulumi, or Ansible.
Solid understanding of security principles and hands-on experience with security tools and products.
Experience managing SQL and NoSQL databases, as well as message brokers like Kafka and RabbitMQ.
Knowledge of Kubernetes and CI/CD tools such as GitHub Actions, Jenkins, or GitLab CI.
Familiarity with networking settings, including VPC and cross-site VPN configurations.
Experience with modern observability/monitoring systems and incident management tools.
Strong skills in performance measurement and tuning.
Startup mindset: Move fast, take ownership, and strive for success.
This position is open to all candidates.
 
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2 ימים
Location: Tel Aviv-Yafo
Job Type: Full Time
a well-funded AI startup on a mission to revolutionize passenger journeys with intelligent threat detection powered by machine learning and computer vision. Were building cutting-edge AI tools to ensure safer and more efficient travel.
We are seeking a highly motivated and experienced Data Engineer & MLOps Specialist to join our dynamic Data team. This is a pivotal role where you will design and implement scalable data solutions, develop automation for machine learning workflows, and manage critical infrastructure supporting our AI/ML initiatives.
Responsibilities:
Develop and maintain automated pipelines for data transformation, model inference, and monitoring.
Build and manage an annotation database to ensure high-quality labeled data for AI training.
Design and deploy infrastructure for automated ML inference and neural network analysis using tools like Voxel51 and ClearML.
Develop ETL pipelines to integrate production data into the data warehouse for analysis and reporting.
Work on local servers and in the AWS cloud, ensuring efficient and secure processing, storage, and deployment of data and ML models.
Requirements:
6+ years of experience in data engineering, MLOps, Software or a related field.
Strong programming skills in Python and experience with SQL and data platforms.
Familiarity with tools like Voxel51, ClearML, or similar open-source frameworks.
Hands-on experience in building scalable ETL pipelines and managing large datasets.
Solid understanding of modern data technologies, including data processing frameworks, data storage solutions, and workflow orchestration tools.
Knowledge of machine learning workflows and AI environments is a plus.
Excellent communication and collaboration skills.
Bachelors degree in Information Systems, Computer Science, or a related field; advanced degrees are a bonus.
What We Offer:
A chance to design and implement solutions from scratch, shaping the future of data and AI infrastructure.
Work with AI technology in a high-growth startup environment.
Opportunities for career growth and continuous learning.
This position is open to all candidates.
 
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חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
Our Data Platform Team Lead will drive innovation and build scalable data infrastructure that influences the heart health of thousands of users. In this role, you will manage a team of 4 senior data engineers & BI developers responsible for the end-to-end development of data product. You will work in close collaboration with other cross-functional teams, including analysts, data scientists, and engineers, to deliver high-quality solutions that drive data insights and business intelligence at scale. As team lead, you will guide and mentor your team ensuring they grow their skills and deliver impactful solutions. Your leadership will be critical in driving team productivity, technical excellence, and fostering an innovative culure.
Our Technologies stack: Python, Spark, Airflow, DBT, Kafka, AWS (Glue, EMR, S3, Athena and more), Docker, Kubernetes, MongoDB, Redis, Postgres, Elasticsearch, and more.
Responsibilities:
Leadership & Team Management: Lead, mentor, and manage a team of 5 senior data engineers. Foster a culture of collaboration, continuous improvement, and technical excellence.
Data Pipeline Development: Oversee the development and optimization of data pipelines and architectures to support our data flows. Ensure data processing is efficient, scalable, and aligned with business goals.
System Integration: Collaborate with cross-functional teams to integrate and optimize systems that retrieve and analyze data to influence user outcomes.
End-to-End Ownership: Take responsibility for the end-to-end development, deployment, and maintenance of our data systems, ensuring they meet business needs and industry standards.
Innovation & Continuous Learning: Stay up-to-date with emerging technologies and best practices. Identify opportunities to innovate and improve data systems and processes.
Collaboration with Stakeholders: Work closely with researchers, architects, and engineers to ensure that data systems align with research objectives and technical requirements.
Requirements:
Bachelors Degree in Computer Science or related field
At least 4 years of management experience leading a team of engineers
7+ years working experience of designing and implementing server-side Data solutions
Proven experience in creating and optimizing big data processes, pipelines and architectures
Experience with AWS ecosystem
Experience working on production grade projects
Experience leading 3rd party POCs in the Data Engineering domain
Experience with Kubernetes in Production
Experience with Python or similar
Experience with Apache Airflow or similar
Familiarity with distributed systems and technologies (Spark, Hadoop, MapReduce)
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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8120502
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חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
As a Senior Platform Engineer, youll join our R&D center in TLV. Youll be part of a team of developers and devops engineers, directly contributing to our product by using cutting-edge technologies. Youll take a critical part in our mission to shape the future of transportation, affecting tens of thousands of riders daily worldwide.

The Platform Group is a cross-functional group dedicated to building and maintaining the robust foundation on which we operates. This team is responsible for designing, implementing, and managing cloud infrastructure, Kubernetes clusters, CI/CD systems, and tools that empower our development and production environments.

With a focus on enhancing developer experience, operational efficiency, and reliability, the team drives initiatives that:

Design and implement scalable and secure cloud infrastructure.
Develop and maintain Kubernetes clusters and related tools, ensuring high availability and performance.
Manage edge gateways, WAF solutions, and other critical infrastructure components.
Define and enforce CI/CD standards to streamline development and delivery workflows.
Build tools and automation to enhance productivity across engineering teams.
Ensure the reliability, security, and scalability of production infrastructure.

What Youll Do:
Define infrastructure standards for dev teams.
Design, implement and develop tools for controlling infrastructure of micro services.
Build CI/CD automation and templates with GitLab.
Build, maintain and operate AWS and Kubernetes infrastructure.
Develop and maintain an in-depth understanding of the applications and architecture.
Work in contact with other teams across the company to ensure smooth and documented changes to all environments.
Identify and resolve problems in mission-critical services, automating remediation procedures to prevent recurrences.
Bring ideas to the table, take ownership over their project timelines and deliverables and help us scale.
Requirements:
BSc. Computer Science or similar.
5+ years of professional experience in backend or full-stack development in a product development team. Object oriented programming programming experience is required.
3+ years experience as Devops/SRE in a production environment
2+ years experience with containers, Kubernetes, Helm, Argo CD
2+ years experience with AWS or GCP/Azure
1+ years experience with CICD - GitLab/Jenkins/Github actions/etc.
Experience with networking, distributed systems, SQL and NoSQL databases
Experience with Unix/Linux operating systems internals and administration
Fluent in English language
Advantage - Experienced with declarative IaC tools like Terraform, Cloudformation or Pulumi
Commitment to a collaborative environment infused with professionalism, integrity, passion, and accountability
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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8126835
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חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
The Data Engineer position is a central role in the Tech Org. The Data Engineering (DE) team is a Change Agent Team that plays a significant role in the ongoing (at advanced stages) migration of us to cloud technologies. The ideal candidate is a senior data engineer with a strong technical background in data infrastructure, data architecture design and robust data pipes building. The candidate must also have collaborative abilities to interact effectively with Product managers, Data scientists, Onboarding engineers, and Support staff.
Responsibilities:
Deploy and maintain critical data pipelines in production.
Drive strategic technological initiatives and long-term plans from initial exploration and POC to going live in a hectic production environment.
Design infrastructural data services, coordinating with the Architecture team, R&D teams, Data Scientists, and product managers to build scalable data solutions.
Work in Agile process with Product Managers and other tech teams.
End-to-end responsibility for the development of data crunching and manipulation processes within the company`s product.
Design and implement data pipelines and data marts.
Create data tools for various teams (e.g., onboarding teams) that assist them in building, testing, and optimizing the delivery of the company`s product.
Explore and implement new data technologies to support our data infrastructure.
Work closely with the core data science team to implement and maintain ML features and tools.
Requirements:
Requirements:
B.Sc. in Computer Science or equivalent.
4+ years of extensive SQL experience (preferably working in a production environment).
Experience with programming languages (preferably, Python) a must!
Experience working with Snowflake or with Google BigQuery.
Experience with "Big Data" environments, tools, and data modeling (preferably in a production environment).
Strong capability in schema design and data modeling.
Understanding of micro-services architecture.
Working closely with BI developers.
Quick, self-learning, and good problem-solving capabilities.
Good communication skills and collaboration.
Process and detailed oriented.
Passion for solving complex data problems.

Desired:
Familiarity with Airflow, ETL tools, and MSSQL.
Experience with GCP services.
Experience with Docker and Kubernetes.
Experience with PubSub/Kafka.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8127076
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חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
The Data Engineering Team Leader position is a central role in the Tech Org. The Data Engineering (DE) team is a Change Agent Team that plays a significant role in the ongoing (at advanced stages) migration of Optimove to cloud technologies. The ideal candidate is a senior data engineer with a strong technical background in data infrastructure, data architecture design and robust data pipes building. The candidate must also have collaborative abilities to interact effectively with Product managers, Data scientists, Onboarding engineers, and Support staff.

Responsibilities:
Lead a team of data engineers that is responsible for deploying and maintaining critical data pipelines in production.
Drive strategic technological initiatives and long-term plans from initial exploration and POC to going live in a hectic production environment.
Design infrastructural data services, coordinating with the Architecture team, R&D teams, Data Scientists, and product managers to build scalable data solutions.
Work in Agile process with Product Managers and other tech teams.
End-to-end responsibility for the development of data crunching and manipulation processes within the Optimove product.
Design and implement data pipelines and data marts.
Create data tools for various teams (e.g., onboarding teams) that assist them in building, testing, and optimizing the delivery of the Optimove product.
Explore and implement new data technologies to support Optimove's data infrastructure.
Work closely with the core data science team to implement and maintain ML features and tools.
Requirements:
Requirements:
B.Sc. in Computer Science or equivalent.
7+ years of extensive SQL experience (preferably working in a production environment).
Experience with programming languages (preferably, Python) a must!
Experience with "Big Data" environments, tools, and data modeling (preferably in a production environment).
Strong capability in schema design and data modeling.
Understanding of micro-services architecture.
Quick, self-learning and good problem-solving capabilities.
Good communication skills and collaborative.
Process and detailed oriented.
Passion to solve complex data problems.

Desired:
Familiarity with Airflow, ETL tools, Snowflake, and MSSQL.
Experience with GCP services.
Experience with Docker and Kubernetes.
Experience with PubSub/Kafka.
This position is open to all candidates.
 
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8127045
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חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
You will work in an energetic startup environment following Agile concepts and methodologies. Joining the company at this unique and exciting stage in our growth journey creates an exceptional opportunity to take part in shaping data infrastructure at the forefront of Fintech and AI.

What you'll do:

Design, build, and maintain scalable data pipelines and ETL processes for our financial data platform

Develop and optimize data infrastructure to support real-time analytics and reporting

Implement data governance, security, and privacy controls to ensure data quality and compliance

Create and maintain documentation for data platforms and processes

Collaborate with data scientists and analysts to deliver actionable insights to our customers

Troubleshoot and resolve data infrastructure issues efficiently

Monitor system performance and implement optimizations

Stay current with emerging technologies and implement innovative solutions
Requirements:
3+ years experience in data engineering or platform engineering roles

Strong programming skills in Python and SQL

Experience with orchestration platforms like Airflow/Dagster/Temporal

Experience with MPPs like Snowflake/Redshift/Databricks

Hands-on experience with cloud platforms (AWS) and their data services

Understanding of data modeling, data warehousing, and data lake concepts

Ability to optimize data infrastructure for performance and reliability

Experience working with containerization (Docker) in Kubernetes environments

Familiarity with CI/CD concepts

Fluent in English, both written and verbal
This position is open to all candidates.
 
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