Sr. Data Engineer - Cloud Security (Hybrid, ISR)

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15/07/2026

Data Engineer

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

We are looking for an experienced and visionary Data Engineer to help design, build, and scale our BI platform.
In this role, you will be responsible for developing our data analytics platform - enabling scalable data pipelines and robust data modeling to support real-time and batch analytics to provide insights that serve both business intelligence and product needs.
You will be part of the R&D team, collaborating closely with engineers, analysts, and product managers to deliver a modern data architecture that supports internal dashboards and future-facing operational analytics.
If you enjoy turning raw data into powerful insights and owning the full data lifecycle, this role is for you!
Responsibilities
Take full ownership of the design and implementation of a scalable and efficient BI data infrastructure, ensuring high performance, reliability, and security.
Design and architect data products, from ingestion to transformation, modeling, storage, and access.
Build and maintain ETL/ELT pipelines, batch and real-time, to support analytics, reporting, and product integrations.
Establish and enforce best practices for data quality, lineage, observability, and governance to ensure accuracy and consistency.
Integrate modern tools and frameworks such as Airflow, Databricks, Power BI, and streaming platforms.
Collaborate cross-functional with product, engineering, and analytics teams to translate business needs into data infrastructure.
Promote a data-driven culture - be an advocate for data-driven decision-making across the company by empowering stakeholders with reliable and self-service data access.

Requirements:
Requirements
5+ years of hands-on experience in data engineering and in building data products for analytics and business intelligence.
Experience working on data developments using AI tools and agentic workflows.
Strong hands-on experience with ETL orchestration tools (Apache Airflow), and data lake houses (Databricks is an advantage)
Vast knowledge in both batch processing and streaming processing (e.g., Kafka, Spark Streaming).
Proficiency in Python, SQL, and cloud data engineering environments (AWS, Azure, or GCP).
Familiarity with data visualization tools (Power BI, Looker, or similar).
BSc in Computer Science or a related field from a leading university
Nice to have:
Experience working on early-stage projects, building data systems from scratch.
Background in building operational analytics pipelines, in which analytical data feeds real-time product business logic.
Experience in cost optimization in modern cloud environments.
Knowledge of data governance principles, compliance, and security best practices.

This position is open to all candidates.

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8739902

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19/07/2026

Data Analytics Architect

חברה חסויה

Location: Lod and Tel Aviv-Yafo

Job Type: Full Time and Hybrid work

abra professional services is seeking a Data Analytics Architect / Principal Data Engineer We are looking for a skilled Data Analytics Architect / Principal Data Engineer to lead the organization’s analytics data domain, design large-scale data architecture, build advanced analytical models, define organizational data modeling standards, and implement innovative AI and LLM-based technologies. This role requires deep expertise in data engineering, analytics, BI, SQL, PostgreSQL, data modeling, performance optimization, data governance, and the integration of AI tools into data engineering processes. A full-time hybrid position based in Central Israel. The first 4–6 months will be based in Tel Aviv, followed by a transition to the Lod area. The position includes 1 day a week remote. Key Responsibilities:
* Design and develop data architecture that supports large-scale analytics and business intelligence.
* Lead the design and implementation of complex data models and enterprise data modeling solutions.
* Define organizational standards, methodologies, and best practices in the data domain.
* Optimize database performance, analytical queries, and reporting processes.
* Lead LLM-based development and implement AI tools within data engineering processes.
* Mentor data engineers, conduct code reviews and architecture reviews.
* Collaborate with management and business stakeholders to build a technological roadmap.
* Establish frameworks for data quality and data governance.
* Lead initiatives to improve the reliability and stability of BI and analytics systems.
* Evaluate new technologies and lead the adoption of innovative solutions across the organization.
* Lead the design and implementation of end-to-end analytics platforms.

Requirements:
Requirements: must have requirements: • Bachelor’s degree in Computer Science, Data Science, Statistics, or another relevant field, or equivalent professional experience. • At least 5 years of experience in Data Engineering, with a focus on Analytics and BI. • Expert-level SQL skills. • Deep experience with PostgreSQL, including performance tuning and optimization. • At least 3 years of experience with Python for data processing, automation, and testing. • At least 3 years of experience designing and implementing large-scale data models. • Experience leading performance optimization in complex data systems. • Experience establishing and implementing Data Governance and Data Quality processes. • Proven ability to translate business requirements into data architecture and technological solutions. • Experience providing technical leadership, mentoring, and leading technological initiatives. • Experience building Data and Analytics platforms from scratch. • Proven experience integrating AI and LLM tools into development and data engineering processes. Advantages: • Experience in FinTech or financial organizations. • Deep familiarity with regulation, information security, and compliance requirements. • Experience working with Data Lakes and Data Warehouses. • Experience with orchestration tools and ELT / ETL processes. • Experience working in cloud environments such as AWS, GCP, or Azure. • Familiarity with streaming technologies and real-time data processing. • Experience leading technology teams or professional excellence groups. Personality requirements: • Fast learning ability and curiosity for new technologies and methodologies. • Strategic thinking and broad system-wide perspective. • Ability to lead and influence without formal authority. • Ability to work independently and manage multiple tasks simultaneously. • High personal responsibility and ability to receive professional feedback. • Initiative, creativity, and ability to solve complex problems. • High motivation and constant drive for excellence. • Excellent interpersonal communication skills and ability to work with multiple stakeholders. • Ability to driv

This position is open to all candidates.

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8742948

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15/07/2026

Data Architect

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

We are looking for a Senior Data Architect to help define and evolve the data architecture of our SaaS platform and core products. You will work closely with product, delivery, and engineering squads to design scalable, reliable data systems, set technical direction for how data is ingested, modeled, stored, and served, and guide teams in making high-quality architectural decisions that balance delivery speed with long-term sustainability.
This is a hands-on, senior technical leadership role: you will spend most of your time shaping data architectures with teams, reviewing data models, pipelines and critical code, and driving shared standards and patterns across the organization, all in an advanced agentic environment.
Responsibilities:
Define and evolve the data architecture for key domains (ingestion, ELT/ETL, data modeling, storage, APIs, integration, observability, governance, and security), including owning the lakehouse/medallion architecture (bronze/silver/gold) and the data flows that move data across layers at scale.
Translate business and product requirements into pragmatic data designs, data contracts, and architecture roadmaps; create and maintain architecture artefacts (data flow/lineage diagrams, ADRs, reference implementations, modeling guidelines).
Evaluate design options and technology choices, articulate trade-offs, and lead decision-making with stakeholders; push forward the agentic mindset and implementation across the data platform.
Partner with squad leads and senior engineers to design data solutions, break down complex problems, and keep implementations aligned with the target architecture; participate in design/tech reviews to ensure NFRs (performance, scalability, data quality, resilience, security, operability) are addressed early.
Provide hands-on support where it matters most: spike and prototype critical data flows, review complex PRs, and help debug tricky production data and pipeline issues.

Requirements:
8+ years of experience in software / data engineering, including several years in a senior / staff / architect role designing complex data systems.
Strong experience designing modern data platforms and distributed data architectures (lakehouse/warehouse, batch and streaming/event-driven patterns, robust data APIs).
Experience working with columnar/serialization data formats such as AVRO and Parquet, including schema evolution and storage trade-offs.
Experience with DBT and ELT management tools for building, testing, and maintaining transformation pipelines.
Experience with Apache Airflow (or comparable orchestration tooling) for scheduling and managing data workflows.
Experience working with Databricks (or Snowflake) and medallion architecture (bronze/silver/gold).
Experience building SaaS data infrastructure, including CI/CD, ETL/data pipeline observability, and data quality monitoring.
Proven ability to design for scale, performance, security, and reliability in production SaaS environments.
Hands-on experience with at least one major language and ecosystem used in our stack (e.g., Python, SQL, Java, or similar).
Proven agentic experience - as hands-on experience and as architecting GenAI systems.
Comfortable reading and reviewing code, guiding implementation, and occasionally building prototypes or reference implementations.
Nice to have:
Experience with financial services, B2B SaaS, or integrations with large enterprise customers (e.g., banks).
Background in analytics, BI, or ML-adjacent systems and feature/data pipelines for ML.
Familiarity with data governance, lineage, cataloging, and master data management.
Familiarity with domain-driven design, event sourcing, or CQRS patterns.
Solid understanding of cloud-native architecture (e.g., AWS/Azure/GCP), containers, and infrastructure-as-code practices.

This position is open to all candidates.

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8739901

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לפני 10 שעות

Senior Data Engineer

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time and Hybrid work

we are looking for a Senior Data Engineer.
As a Senior Data Engineer, you will play a key role in owning and scaling the backend data infrastructure that powers our platform-supporting real-time optimization, advanced analytics, and machine learning applications.
What You'll Do:
Design, implement, and maintain robust, scalable data pipelines for batch and real-time processing using Spark, and other modern tools.
Own the backend data infrastructure, including ingestion, transformation, validation, and orchestration of large-scale datasets.
Leverage Google Cloud Platform (GCP) services to architect and operate scalable, secure, and cost-effective data solutions across the pipeline lifecycle.
Develop and optimize ETL/ELT workflows across multiple environments to support internal applications, analytics, and machine learning workflows.
Build and maintain data marts and data models with a focus on performance, data quality, and long-term maintainability.
Collaborate with cross-functional teams including development teams, product managers, and external stakeholders to understand and translate data requirements into scalable solutions.
Help drive architectural decisions around distributed data processing, pipeline reliability, and scalability.

Requirements:
4+ years in backend data engineering or infrastructure-focused software development.
Proficient in Python, with experience building production-grade data services.
Solid understanding of SQL
Proven track record designing and operating scalable, low-latency data pipelines (batch and streaming).
Experience building and maintaining data platforms, including lakes, pipelines, and developer tooling.
Familiar with orchestration tools like Airflow, and modern CI/CD practices.
Comfortable working in cloud-native environments (AWS, GCP), including containerization (e.g., Docker, Kubernetes).
Bonus: Experience working with GCP
Bonus: Experience with data quality monitoring and alerting
Bonus: Experience with Snowflake, DBT, Flink, Kafka
Bonus: Strong hands-on experience with Spark for distributed data processing at scale.
Degree in Computer Science, Engineering, or related field.

This position is open to all candidates.

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20/07/2026

Senior Data Platform Engineer

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

We are looking for a Senior Data Platform Engineer to join our growing Platform team and help build the foundation that powers our products, analytics, and data-driven decision making.

In this role, you will design, build, and operate the core data infrastructure that enables engineering teams to move fast while maintaining reliability, scalability, and operational excellence. You will work across databases, streaming systems, data lakes, cloud infrastructure, and platform services, solving complex challenges around scale, performance, and resilience.

As a senior engineer, you will play a key role in shaping our data architecture, driving technical decisions, and mentoring other engineers.

Responsibilities
Design, build, and operate scalable data platform services and infrastructure.
Develop high-quality software for distributed systems and data-intensive applications.
Design and optimize data storage solutions across operational databases, data lakes, and analytical systems.
Drive database performance improvements through query optimization, indexing strategies, schema design, and capacity planning.
Build and maintain event-driven architectures and streaming data pipelines.
Develop and improve data ingestion, transformation, orchestration, and processing frameworks.
Partner with product, engineering, analytics, and AI teams to deliver scalable and reliable data solutions.
Improve platform reliability, observability, and operational excellence through automation and engineering best practices.
Build and enhance CI/CD pipelines, deployment processes, and developer tooling.
Lead architecture discussions and contribute to long-term platform strategy.
Troubleshoot complex production issues and drive root-cause analysis and preventative improvements.
Mentor engineers through code reviews, technical guidance, and knowledge sharing.

Requirements:
Requirements
5+ years of experience building and operating large-scale backend, platform, or data infrastructure systems.
Strong programming skills in Python, Go, or Node.js.
Deep understanding of distributed systems, scalability, reliability, and performance optimization.
Strong experience with relational databases such as PostgreSQL or MySQL.
Strong experience with NoSQL databases such as MongoDB, DynamoDB, Cassandra, or similar technologies.
Proven experience optimizing database performance, query execution, indexing strategies, and large-scale data models.
Experience designing and operating data lakes and large-scale storage systems.
Experience building and maintaining data pipelines and ETL/ELT workflows.
Experience with event-driven architectures and messaging platforms such as Kafka.
Hands-on experience with cloud platforms, preferably AWS.
Experience with Docker, Kubernetes, and Infrastructure as Code tools such as Terraform.
Strong experience with monitoring, observability, and production troubleshooting.
Excellent communication and collaboration skills.

This position is open to all candidates.

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8746446

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7 ימים

Senior Data Engineer

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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8773889

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23/07/2026

Senior Data Engineer I - GenAI Foundation Models

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

Req ID: 21679

As a Senior Data Engineer, youll collaborate with top-notch engineers and data scientists to elevate our platform to the next level and deliver exceptional user experiences. Your primary focus will be on the data engineering aspects-ensuring the seamless flow of high-quality, relevant data to train and optimize content models, including GenAI foundation models, supervised fine-tuning, and more.

Youll work closely with teams across the company to ensure the availability of high-quality data from ML platforms, powering decisions across all departments. With access to petabytes of data through MySQL, Snowflake, Cassandra, S3, and other platforms, your challenge will be to ensure that this data is applied even more effectively to support business decisions, train and monitor ML models and improve our products.

Key Job Responsibilities and Duties:

Rapidly developing next-generation scalable, flexible, and high-performance data pipelines.

Dealing with massive textual sources to train GenAI foundation models.

Solving issues with data and data pipelines, prioritizing based on customer impact.

End-to-end ownership of data quality in our core datasets and data pipelines.

Experimenting with new tools and technologies to meet business requirements regarding performance, scaling, and data quality.

Providing tools that improve Data Quality company-wide, specifically for ML scientists.

Providing self-organizing tools that help the analytics community discover data, assess quality, explore usage, and find peers with relevant expertise.

Acting as an intermediary for problems, with both technical and non-technical audiences.

Promote and drive impactful and innovative engineering solutions

Technical, behavioral and interpersonal competence advancement via on-the-job opportunities, experimental projects, hackathons, conferences, and active community participation

Collaborate with multidisciplinary teams: Collaborate with product managers, data scientists, and analysts to understand business requirements and translate them into machine learning solutions. Provide technical guidance and mentorship to junior team members.

Requirements:
Qualifications & Skills:

Bachelors or masters degree in computer science, Engineering, Statistics, or a related field.

Minimum of 6 years of experience as a Data Engineer or a similar role, with a consistent record of successfully delivering ML/Data solutions.

You have built production data pipelines in the cloud, setting up data-lake and server-less solutions; ‌ you have hands-on experience with schema design and data modeling and working with ML scientists and ML engineers to provide production level ML solutions.

You have experience designing systems E2E and knowledge of basic concepts (lb, db, caching, NoSQL, etc)

Strong programming skills in languages such as Python and Java.

Experience with big data processing frameworks such, Pyspark, Apache Flink, Snowflake or similar frameworks.

Demonstrable experience with MySQL, Cassandra, DynamoDB or similar relational/NoSQL database systems.

Experience with Data Warehousing and ETL/ELT pipelines

Experience in data processing for large-scale language models like GPT, BERT, or similar architectures - an advantage.

Proficiency in data manipulation, analysis, and visualization using tools like NumPy, pandas, and matplotlib - an advantage.

Experience with experimental design, A/B testing, and evaluation metrics for ML models - an advantage.

Experience of working on products that impact a large customer base - an advantage.

Excellent communication in English; written and spoken.

This position is open to all candidates.

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8752218

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23/07/2026

Data Engineer II - GenAI

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

Req ID: 20718

As a Data Engineer, youll collaborate with top-notch engineers and data scientists to elevate our platform to the next level and deliver exceptional user experiences. Your primary focus will be on the data engineering aspects-ensuring the seamless flow of high-quality, relevant data to train and optimize content models, including GenAI foundation models, supervised fine-tuning, and more.

Youll work closely with teams across the company to ensure the availability of high-quality data from ML platforms, powering decisions across all departments. With access to petabytes of data through MySQL, Snowflake, Cassandra, S3, and other platforms, your challenge will be to ensure that this data is applied even more effectively to support business decisions, train and monitor ML models and improve our products.

Key Job Responsibilities and Duties:

Rapidly developing next-generation scalable, flexible, and high-performance data pipelines.

Dealing with massive textual sources to train GenAI foundation models.

Solving issues with data and data pipelines, prioritizing based on customer impact.

End-to-end ownership of data quality in our core datasets and data pipelines.

Experimenting with new tools and technologies to meet business requirements regarding performance, scaling, and data quality.

Providing tools that improve Data Quality company-wide, specifically for ML scientists.

Providing self-organizing tools that help the analytics community discover data, assess quality, explore usage, and find peers with relevant expertise.

Acting as an intermediary for problems, with both technical and non-technical audiences.

Promote and drive impactful and innovative engineering solutions

Technical, behavioral and interpersonal competence advancement via on-the-job opportunities, experimental projects, hackathons, conferences, and active community participation

Collaborate with multidisciplinary teams: Collaborate with product managers, data scientists, and analysts to understand business requirements and translate them into machine learning solutions. Provide technical guidance and mentorship to junior team members.

Requirements:
Qualifications & Skills:

Bachelors or masters degree in computer science, Engineering, Statistics, or a related field.

Minimum of 3 years of experience as a Data Engineer or a similar role, with a consistent record of successfully delivering ML/Data solutions.

You have built production data pipelines in the cloud, setting up data-lake and server-less solutions; ‌ you have hands-on experience with schema design and data modeling and working with ML scientists and ML engineers to provide production level ML solutions.

You have experience designing systems E2E and knowledge of basic concepts (lb, db, caching, NoSQL, etc)

Strong programming skills in languages such as Python and Java.

Experience with big data processing frameworks such, Pyspark, Apache Flink, Snowflake or similar frameworks.

Demonstrable experience with MySQL, Cassandra, DynamoDB or similar relational/NoSQL database systems.

Experience with Data Warehousing and ETL/ELT pipelines

Experience in data processing for large-scale language models like GPT, BERT, or similar architectures - an advantage.

Proficiency in data manipulation, analysis, and visualization using tools like NumPy, pandas, and matplotlib - an advantage.

Experience with experimental design, A/B testing, and evaluation metrics for ML models - an advantage.

Experience of working on products that impact a large customer base - an advantage.

Excellent communication in English; written and spoken.

This position is open to all candidates.

עדכון קורות החיים לפני שליחה

8752220

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שליחה

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תוכל לצפות בה בדף המשרות שלי

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08/07/2026

Senior Data Engineer

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

We are on the lookout for a Senior Data Engineer to join our growing data team!

In this role, you will design and develop scalable data solutions, optimize data workflows, and support critical business processes. You will work with a variety of databases and big data tools in a cloud environment, focusing on data modeling, governance, and analytics.

What youll be doing:
Design, develop, and maintain end-to-end ETL pipelines, from gathering business requirements to implementation.
Work with multiple database technologies, especially BigQuery.
Optimize data models (DWH, fact & dimension tables, RI, SCDs) for performance and scalability.
Implement data governance best practices and maintain comprehensive documentation.
Utilize Big Data tools in cloud environments (GCP preferred).
Develop and support complex business workflows and data processes.
Design and implement monitoring systems to ensure data quality throughout the pipeline.
Workflow orchestration using Apache Airflow.
Collaborate with analysts and stakeholders to ensure high-quality data for business insights.
Support and optimize Tableau infrastructure for data visualization.

Requirements:
What youll bring:
5+ years of experience in Data Engineering.
Strong SQL skills and expertise in BigQuery or similar databases.
5+ years of Python experience for data processing and automation.
Proven experience in designing complex business workflows and data processes.
Deep understanding of data modeling principles and best practices.
Hands-on experience with cloud-based big data tools (GCP preferred).
Must have experience with Apache Airflow for orchestrating data workflows.
Strong analytical skills with the ability to translate business needs into technical solutions.
Experience with Tableau infrastructure management is an advantage.
Excellent communication skills and ability to work cross-functionally.

Nice to have:
Familiarity with streaming data frameworks (Kafka, Pub/Sub).

This position is open to all candidates.

עדכון קורות החיים לפני שליחה

8729963

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אירעה שגיאה בשליחת פרטיך למשרה

6 ימים

Senior Data Engineer ( Data Collection)

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

Were looking for a Senior Data Engineer in the Data Collection Ingest team to contribute to the design and coding of data ingestion services & pipelines. This role involves working as part of a team that handles millions of requests per minute across multiple servers, and is responsible for a wide-range of data pipelines, processing billions of events each day.

So, what will you be doing all day?

Your role as Data Engineer of the Ingest Data Collection team means your daily responsibilities may include:

Design, code and manage end-to-end data ingestion pipelines, both online and offline.
Take charge of developing & maintaining modern data infrastructure, while implementing best practices for building data pipelines.
Be responsible for high-scale ingestion services, solving challenges of availability, reliability, and scalability.
Run the production environment by monitoring availability and taking a holistic view of system health and data quality.
Own data infrastructure features from design to production using industry best practices with focus on quality and delivery.
Lead design & decision-making processes of the team.
Solve diverse complex problems of scale, performance and business logic.
Collaborate with product managers and other team leaders to plan, nurture, and implement an efficient and effective development process.
Continuously learn and evaluate new technologies in the everlasting effort to perfect our products
Perform code reviews, evaluate implementations, and provide feedback about potential improvements.
Improve your skills, learn from and mentor top-notch engineers and enrich other team members.
Have lots of fun!

Requirements:
Has 5+ years of experience in developing code for big data infrastructure. Proficiency in technologies such as: Databricks, Spark, Airflow, Firehose, SQS, or other similar tools.
Proven experience working with high scale on AWS or any other cloud provider. Experience in architecture and design of large-scale and high performance production systems.
Comfortable taking challenges and learning new technologies.
Excellent communication skills with the ability to provide constant dialog between teams.
Ability to take business requirements and translate them to technical alternatives by performing risk management and evaluating tradeoffs.

This position is open to all candidates.

עדכון קורות החיים לפני שליחה

8775591

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