דרושים Field Services Engineer ב-Cognyte

Today’s world is crime riddled. Criminals are everywhere, invisible, virtual, and sophisticated. Traditional ways to prevent and investigate crime and terror are no longer enough…

Technology is changing incredibly fast. The criminals know it, and they are taking advantage. We know it too.

We’re looking for a skilled and driven

As Cognyter you’ll make an impact on:

• Design and develop real-time and batch data pipelines using modern frameworks and distributed systems.
• Build robust, scalable, and fault-tolerant ETL workflows to handle high-volume structured and unstructured data.
• Model and maintain efficient, query-optimized data structures across SQL, NoSQL, and search engines.
• Collaborate with customers, field engineers, and delivery teams to deploy and support data systems in real environments — both cloud-based and on-premise.
• Own and maintain the reliability, observability, and performance of data flows and infrastructure.
• Stay up to date with data engineering trends and recommend best-fit solutions for evolving business needs.

For that mission you’ll need:

• 5+ years of hands-on experience in Java or Python in data engineering or backend systems.
• Solid knowledge of Docker, Kubernetes, and containerized architecture.
• Strong understanding of multithreaded, concurrent, and distributed system design.
• Experience building and orchestrating ETL pipelines using tools like Airflow, Apache NiFi, or similar.
• Expertise in data modeling, both for SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Cassandra).
• Experience with search engines like ElasticSearch and/or graph databases.
• Proficiency with streaming platforms like Kafka, Flink, or Spark Streaming.
• Understanding of pipeline observability and data quality best practices.
• Excellent communication and problem-solving skills, especially in customer-facing or cross-team contexts.
• Fluency in spoken and written English.

Bonus Points For

• Experience with real-time event processing at scale.
• Previous work in data architecture, including data lake design, schema evolution, and partitioning strategies.
• Proven experience managing and deploying on-premise data infrastructure (Kafka, Elasticsearch, Airflow, NiFi, etc.).
• Familiarity with hybrid setups that integrate cloud and on-prem environments.
• Industry knowledge in cybersecurity, telecom, or other data-heavy domains.
• Background in consulting, customer support, or solution delivery roles.

Availability

• Must be available for at least one flight per 2 months to collaborate with customers on-site.

Apply now.

Today’s world is crime riddled. Criminals are everywhere, invisible, virtual, and sophisticated. Traditional ways to prevent and investigate crime and terror are no longer enough…

Technology is changing incredibly fast. The criminals know it, and they are taking advantage. We know it too.

We’re looking for a skilled and driven

As Cognyter you’ll make an impact on:

• Design and develop real-time and batch data pipelines using modern frameworks and distributed systems.
• Build robust, scalable, and fault-tolerant ETL workflows to handle high-volume structured and unstructured data.
• Model and maintain efficient, query-optimized data structures across SQL, NoSQL, and search engines.
• Collaborate with customers, field engineers, and delivery teams to deploy and support data systems in real environments — both cloud-based and on-premise.
• Own and maintain the reliability, observability, and performance of data flows and infrastructure.
• Stay up to date with data engineering trends and recommend best-fit solutions for evolving business needs.

For that mission you’ll need:

• 5+ years of hands-on experience in Java or Python in data engineering or backend systems.
• Solid knowledge of Docker, Kubernetes, and containerized architecture.
• Strong understanding of multithreaded, concurrent, and distributed system design.
• Experience building and orchestrating ETL pipelines using tools like Airflow, Apache NiFi, or similar.
• Expertise in data modeling, both for SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Cassandra).
• Experience with search engines like ElasticSearch and/or graph databases.
• Proficiency with streaming platforms like Kafka, Flink, or Spark Streaming.
• Understanding of pipeline observability and data quality best practices.
• Excellent communication and problem-solving skills, especially in customer-facing or cross-team contexts.
• Fluency in spoken and written English.

Bonus Points For

• Experience with real-time event processing at scale.
• Previous work in data architecture, including data lake design, schema evolution, and partitioning strategies.
• Proven experience managing and deploying on-premise data infrastructure (Kafka, Elasticsearch, Airflow, NiFi, etc.).
• Familiarity with hybrid setups that integrate cloud and on-prem environments.
• Industry knowledge in cybersecurity, telecom, or other data-heavy domains.
• Background in consulting, customer support, or solution delivery roles.

Availability

• Must be available for at least one flight per 2 months to collaborate with customers on-site.

Apply now.

Today’s world is crime riddled. Criminals are everywhere, invisible, virtual, and sophisticated. Traditional ways to prevent and investigate crime and terror are no longer enough…

Technology is changing incredibly fast. The criminals know it, and they are taking advantage. We know it too.

We’re looking for a skilled and driven

As Cognyter you’ll make an impact on:

• Design and develop real-time and batch data pipelines using modern frameworks and distributed systems.
• Build robust, scalable, and fault-tolerant ETL workflows to handle high-volume structured and unstructured data.
• Model and maintain efficient, query-optimized data structures across SQL, NoSQL, and search engines.
• Collaborate with customers, field engineers, and delivery teams to deploy and support data systems in real environments — both cloud-based and on-premise.
• Own and maintain the reliability, observability, and performance of data flows and infrastructure.
• Stay up to date with data engineering trends and recommend best-fit solutions for evolving business needs.

For that mission you’ll need:

• 5+ years of hands-on experience in Java or Python in data engineering or backend systems.
• Solid knowledge of Docker, Kubernetes, and containerized architecture.
• Strong understanding of multithreaded, concurrent, and distributed system design.
• Experience building and orchestrating ETL pipelines using tools like Airflow, Apache NiFi, or similar.
• Expertise in data modeling, both for SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Cassandra).
• Experience with search engines like ElasticSearch and/or graph databases.
• Proficiency with streaming platforms like Kafka, Flink, or Spark Streaming.
• Understanding of pipeline observability and data quality best practices.
• Excellent communication and problem-solving skills, especially in customer-facing or cross-team contexts.
• Fluency in spoken and written English.

Bonus Points For

• Experience with real-time event processing at scale.
• Previous work in data architecture, including data lake design, schema evolution, and partitioning strategies.
• Proven experience managing and deploying on-premise data infrastructure (Kafka, Elasticsearch, Airflow, NiFi, etc.).
• Familiarity with hybrid setups that integrate cloud and on-prem environments.
• Industry knowledge in cybersecurity, telecom, or other data-heavy domains.
• Background in consulting, customer support, or solution delivery roles.

Availability

• Must be available for at least one flight per 2 months to collaborate with customers on-site.

Apply now.

Today’s world is crime riddled. Criminals are everywhere, invisible, virtual, and sophisticated. Traditional ways to prevent and investigate crime and terror are no longer enough…

Technology is changing incredibly fast. The criminals know it, and they are taking advantage. We know it too.

We’re looking for a skilled and driven

As Cognyter you’ll make an impact on:

• Design and develop real-time and batch data pipelines using modern frameworks and distributed systems.
• Build robust, scalable, and fault-tolerant ETL workflows to handle high-volume structured and unstructured data.
• Model and maintain efficient, query-optimized data structures across SQL, NoSQL, and search engines.
• Collaborate with customers, field engineers, and delivery teams to deploy and support data systems in real environments — both cloud-based and on-premise.
• Own and maintain the reliability, observability, and performance of data flows and infrastructure.
• Stay up to date with data engineering trends and recommend best-fit solutions for evolving business needs.

For that mission you’ll need:

• 5+ years of hands-on experience in Java or Python in data engineering or backend systems.
• Solid knowledge of Docker, Kubernetes, and containerized architecture.
• Strong understanding of multithreaded, concurrent, and distributed system design.
• Experience building and orchestrating ETL pipelines using tools like Airflow, Apache NiFi, or similar.
• Expertise in data modeling, both for SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Cassandra).
• Experience with search engines like ElasticSearch and/or graph databases.
• Proficiency with streaming platforms like Kafka, Flink, or Spark Streaming.
• Understanding of pipeline observability and data quality best practices.
• Excellent communication and problem-solving skills, especially in customer-facing or cross-team contexts.
• Fluency in spoken and written English.

Bonus Points For

• Experience with real-time event processing at scale.
• Previous work in data architecture, including data lake design, schema evolution, and partitioning strategies.
• Proven experience managing and deploying on-premise data infrastructure (Kafka, Elasticsearch, Airflow, NiFi, etc.).
• Familiarity with hybrid setups that integrate cloud and on-prem environments.
• Industry knowledge in cybersecurity, telecom, or other data-heavy domains.
• Background in consulting, customer support, or solution delivery roles.

Availability

• Must be available for at least one flight per 2 months to collaborate with customers on-site.

Apply now.

Today’s world is crime-riddled. Criminals are everywhere, invisible, virtual, and sophisticated. Traditional ways to prevent and investigate crime and terror are no longer enough…

Technology is changing incredibly fast. The criminals know it, and they are taking advantage. We know it too.

As a Cognyter you will:

• Lead the design, development, and maintenance of robust, scalable, and efficient back-end systems.
• Write high-performance, low-latency, and high-throughput code for real-time data processing.
• Implement innovative solutions to complex signal intelligence problems.
• Take full ownership and responsibility for the software stack, from architecture to deployment.
• Collaborate closely with DSP algorithm developers and hardware engineers to integrate and optimize system performance.
• Shape the future of our systems through your technical leadership and design decisions.

For that mission you’ll need:

• B.Sc. in Computer Science, Software Engineering, or a related field.
• 5+ years of hands-on experience in C++ development on Linux systems – must.
• Proficiency in Python – must.
• Strong understanding of object-oriented design, multithreading, and concurrent programming.
• Experience with performance tuning, profiling tools, and system-level debugging.
• Familiarity with IPC mechanisms and asynchronous programming.
• Experience with CI/CD pipelines – advantage.
• Knowledge of software-defined radio (SDR) and digital signal processing (DSP) – advantage.
• Familiarity with Agile development methodologies.

Apply now.

Today’s world is crime-riddled. Criminals are everywhere, invisible, virtual, and sophisticated. Traditional ways to prevent and investigate crime and terror are no longer enough…

Technology is changing incredibly fast. The criminals know it, and they are taking advantage. We know it too.

As a Cognyter you will:

• Lead the design, development, and maintenance of robust, scalable, and efficient back-end systems.
• Write high-performance, low-latency, and high-throughput code for real-time data processing.
• Implement innovative solutions to complex signal intelligence problems.
• Take full ownership and responsibility for the software stack, from architecture to deployment.
• Collaborate closely with DSP algorithm developers and hardware engineers to integrate and optimize system performance.
• Shape the future of our systems through your technical leadership and design decisions.

For that mission you’ll need:

• B.Sc. in Computer Science, Software Engineering, or a related field.
• 5+ years of hands-on experience in C++ development on Linux systems – must.
• Proficiency in Python – must.
• Strong understanding of object-oriented design, multithreading, and concurrent programming.
• Experience with performance tuning, profiling tools, and system-level debugging.
• Familiarity with IPC mechanisms and asynchronous programming.
• Experience with CI/CD pipelines – advantage.
• Knowledge of software-defined radio (SDR) and digital signal processing (DSP) – advantage.
• Familiarity with Agile development methodologies.

Apply now.

Today’s world is crime-riddled. Criminals are everywhere, invisible, virtual, and sophisticated. Traditional ways to prevent and investigate crime and terror are no longer enough…

Technology is changing incredibly fast. The criminals know it, and they are taking advantage. We know it too.

As a Cognyter you will:

• Conduct integration and validation of RF front ends, antennas, filters, and embedded systems for telecom use.
• Execute RF measurements: VSWR, power levels, harmonics, spurious emissions, noise figure, and link budget components.
• Assist in testing and debugging embedded systems involved in modem control, protocol stack support, and hardware interfaces.
• Use tools like spectrum analyzers, VNAs, signal generators, and logic analyzers for diagnostics.
• Perform basic firmware flashing and configuration of modems and embedded devices (e.g., LTE modules, SDR).
• Support engineering team in building test jigs, cabling, and low-level interfaces (e.g., UART, I2C, SPI).
• Create clear documentation for procedures, test logs, and hardware configurations.
• Work with cross-functional teams including RF, software, and network engineers.

For that mission you’ll need:

• Practical Engineer Diploma in Electronics, Communication, or Embedded Systems Engineering.
• 1–3 years of experience in RF testing or embedded systems support, preferably in telecom or wireless domains.
• Proficient in the use of RF lab equipment (spectrum analyzer, VNA, RF power meter).
• Experience with embedded platforms (MCUs , modems), hardware debugging, and serial interfaces.
• Ability to read RF schematics, block diagrams, and basic embedded circuit designs.
• Basic programming skills in Python, C, or Bash for automation and debugging. - advantage
• Previous work in telecom R&D labs, defense communication systems, or field test environments. - advantage

Apply now.