Role summary:

We are seeking a seasoned and execution driven VP, head of data platform to lead all the R&D tracks of the Data and Analytics organization in Payoneer. This role focuses on leading a complex data engineering organization at scale, driving delivery, operational excellence and cross-company enablement through world-class data platforms and tools.

This leader will serve as the engineering owner of our data platform, managing multiple data infra, data engineering and BI development teams, overseeing extensive resources, and ensuring the delivery of high-quality, scalable, and reliable data products and services. This position requires a strong technical background combined with exceptional leadership, strategic thinking, and cross-functional collaboration skills.

He will also act as a key stakeholder in defining the architecture and strategic direction of our data infrastructure, pipelines, AI/ML infra and platforms to support the company's rapid growth and evolving business needs.

Hybrid 

Full-time



What you’ll do: 

• Lead and manage the entire data platform, including:
• Real-Time Data & Streaming Infrastructure: Introduce and engineer robust data streaming infrastructures (e.g., using Kafka, Pub/Sub, Dataflow) to enable near-real-time data ingestion and scalable low-latency data serving, unlocking advanced analytics and critical use cases.
• Data engineering teams responsible for the data ingestion, transformation and delivery pipelines
• BI infra and development teams owning the cross-company consumption layer, including BI tools, BI data layers and dashboards
• Serve as the operational and delivery lead across the data platform, ensuring strong project execution, roadmap alignment and measurable business impact
• Data Engineering & Architecture Oversight: Lead the design, development, and evolution of scalable data platforms, encompassing data lakes, data warehouses, and advanced data products, ensuring they meet performance, reliability, and business requirements.
• Operational Excellence & Reliability: Establish and drive engineering operational excellence processes across data engineering, significantly improving data quality, availability, and system reliability. Implement frameworks for proactive monitoring, alerting, and incident management, reducing major incidents and ensuring continuous visibility into data flows.
• Advanced Data Observability: Integrate and leverage cutting-edge data observability solutions (e.g., Monte Carlo) to provide comprehensive visibility into data pipelines, enabling proactive detection and resolution of anomalies.
• Cross-functional Collaboration & Stakeholder Management: Collaborate extensively with product, analytics, business, and infrastructure teams to align data strategies with overarching business priorities, ensuring the delivery of high-quality data products that meet diverse user needs.
• Innovation & Technology Adoption: Stay abreast of the latest data, cloud, and AI trends, driving the evaluation and adoption of modern cloud-native technologies to continuously improve platform capabilities and future-proof the ecosystem.
• Leadership & Team Growth: Lead, mentor, and grow a large team of data engineers, fostering a culture of technical excellence, continuous learning, and agile methodologies. Oversee budget management and drive talent development within the team.
• Data Governance & Quality: Oversee the implementation of standards for data quality, data integrity tools, governance, privacy, and regulatory compliance across the data ecosystem.

Who you are? 

• Extensive Experience: 15+ years of progressive experience in the software industry, with a significant portion in data engineering, data platform design, and leadership roles.
• 5+ in senior R&D or VP-level roles, managing large cross-functional teams. Proven experience in leading and managing large engineering teams (e.g., 30-40+ engineers) and overseeing large budgets. 
• Deep Technical Expertise- 
• Profound knowledge of modern cloud data platforms such as GCP, BigQuery, Snowflake, Databricks, Redshift, and Bigtable.
• Hands-on experience with ETL/ELT tools and frameworks (e.g., DBT, Dataform, Spark).
• Strong familiarity with real-time data processing and streaming platforms (e.g., Kafka, Pub/Sub, Flink, Dataflow, Kafka Streams, Storm).
• Experience with data warehousing, data lakes, Hadoop ecosystems (e.g., Cloudera)
• Experience in BI domains tools (e.g., Looker, Tableau, Power BI)
• Familiarity with legacy ecosystem (MySQL, SSRS)
• Experience with containerization and orchestration technologies like Kubernetes and infrastructure-as-code tools like Terraform.
• Operational Excellence: Demonstrated ability to establish and improve operational excellence processes, including proactive monitoring, alerting, incident management, and data observability solutions.
• Strategic & Business Acumen: Strong business acumen and the ability to align technical decisions with strategic business goals.
• Communication & Collaboration: Excellent communication, stakeholder management, and cross-functional collaboration skills to effectively align diverse teams and stakeholders.
• Problem-Solving: Exceptional problem-solving abilities and a creative approach to technical challenges.
• Education: Bachelor of Science degree, preferably in Computer Science or a related technical field.

#LI-Hybrid
#LI-CA1

The role

We’re looking for a Software Engineer with strong C++ expertise to join the team building and operating Nebius Data Platform — a distributed storage and a processing platform that acts as the company’s “source of truth” and the backbone of many internal (and some external) products.

Nebius Data Platform is a single multi-tenant ecosystem based on YTsaurus — instead of running separate HDFS/Kafka/HBase-style systems, we provide storage, compute, and analytics capabilities inside one platform.

Built on top of the open-source YTsaurus ecosystem, we run and extend our own Nebius distribution and develop significant in-house functionality (core and platform-level). We can design, implement, and roll out features end-to-end on our clusters without waiting for upstream approvals and contribute upstream when it makes sense.

At scale today, this includes~500 servers, ~20k CPU cores and ~10 PB of compressed data in our largest production cluster, supporting workloads ranging from business-critical pipelines and financial transactions to large-scale ML/LLM training datasets and compute.

What’s inside the platform

You’ll work on a system that includes (and ties together):

• Distributed Storage (Cypress): transactional semantics, tiered storage, erasure coding, replication, and strong reliability expectations.
• Compute & ETL: a cluster-wide job scheduler (tens of thousands of cores), MapReduce, YQL for SQL-like data processing, and SPYT (Spark over YTsaurus) for modern data engineering.
• Interactive analytics (CHYT): ClickHouse® instances spun up directly on compute nodes for fast SQL over data in-place.
• Dynamic Tables: low-latency NoSQL KV with distributed ACID transactions for OLTP-style workloads and feature stores.
• Orchestracto: workflow orchestration deeply integrated with the platform (Airflow-like, but platform-native).

What you’ll do

We’re looking for engineers who combine strong systems skills with product sense: understanding who uses the platform, why certain capabilities matter, and making pragmatic trade-offs to maximize impact. On our team, engineering work is expected to be connected to real users and outcomes — you’ll regularly align with internal stakeholders, clarify requirements, and help drive prioritization.

In this role, you will:

• Design and implement new functionality in YTsaurus core (C++) with production reliability in mind.
• Build and evolve platform-level capabilities: platform architecture and operating model—multi-cluster growth, shared primitives, and a consistent experience that scales with new teams and use cases.
• Improve end-to-end platform experience for internal (and external-facing) users: APIs, guardrails, debugging workflows, and automation.
• Own production quality: incident response / on-call rotation, root cause analysis, and turning learnings into durable fixes.

Example projects

• Roll out sharded YTsaurus masters (incl. Kubernetes operator support) and build automatic balancing of metadata across master cells (consensus groups) to remove control-plane bottlenecks and unlock 10–100x cluster growth.
• Make CHYT interactive SQL faster and more predictable at high load via performance work like data-skipping / min-max-style indexes and improved execution introspection.
• Turn Orchestracto into a platform product by defining the building blocks, developer experience, and governance for how teams create and share workflows.
• Scale and harden Parquet-on-S3 for native YTsaurus workloads by tackling replication/movement, consistent lifecycle semantics, and master-server metadata optimizations for performance and reliability.
• Design and ship complete, trustworthy audit trails for data changes (who/what/when) across heterogeneous storage and compute paths.

Tech stack

• Core: modern C++ (C++20, async + multithreaded primitives)
• Services & tooling: Go and Python (microservices, utilities, integration tests)

What we expect

• 5+ years of software engineering experience.
• Strong C++ skills (you’ll write core code).
• Working knowledge of Python and/or Go (you don’t have to be expert, but should be comfortable navigating them).
• Experience developing and/or operating high-load, distributed services.
• Production mindset: ability to use SSH, read logs/metrics/traces, and debug distributed systems behavior.
• Solid CS fundamentals: algorithms, data structures, concurrency basics.

Nice to have

• Experience with Big Data systems (YTsaurus/Hadoop/Spark/ClickHouse/Kafka-like ecosystems).
• Experience with multi-tenant platforms, schedulers, resource isolation, quotas, and reliability engineering.
• Strong performance engineering skills (profiling, lock contention, latency/throughput tradeoffs).

We conduct coding interviews as part of the process.

Job Description

Astera labs is seeking a skilled and motivated Data Scientist. This individual will play a pivotal role in identifying key data points for collection, developing strategies to accumulate data and deriving actionable insights an anomaly based on a solid foundation of relevant know-how. Also, will also be responsible for creating, testing, and deploying scripts and methods for data collection and analysis to support decision-making. The Engineer will collaborate with cross-functional teams to identify critical data sources to determine the most effective data collection strategies, will develop automated and scalable data collection pipelines, will ensure data quality, integrity, and consistency across all sources and may use AI techniques to refine the results toward failures predictions.

Basic Qualifications

• Bachelor’s degree in computer science, Data Science, Engineering, Mathematics, or a related field.
• Advanced degrees in data science or Machine learning / AI - Advance.
• Proficiency in programming languages such as Python, R, or MATLAB.
• Strong understanding of data manipulation and analysis tools (e.g., Pandas, NumPy, SQL).
• Understanding of high speed interfaces such as Ethernet, PCI-E , WiFi.
• Experience with data visualization tools such as Tableau, Matplotlib, Graphana.
• Strong analytical and critical-thinking skills to identify patterns and outliers.
• Customer-obsession, Think and act with the customer in mind!
• Goal-driven, Self-motivated, be able to work independently and with teams with people around the globe.
• Entrepreneurial, open-minded behavior and can-do attitude.

Required Experience

• Experience with data manipulation and analysis tools (e.g., Pandas, NumPy, SQL).
• Machine learning and AI techniques and frameworks (e.g., TensorFlow, Scikit-learn).
• Proven ability to manage multiple tasks and meet deadlines.

Preferred Experience

• Embedded Firmware development with C-language, scripting with Python or other equivalent programming languages.
• Master’s degree in a relevant field.
• Experience with cloud platforms (e.g., AWS, Azure, GCP) for data storage and processing.
• Familiarity with big data technologies (e.g., Hadoop, Spark).
• Knowledge of engineering design tools and processes.

Realize your potential by joining the leading performance-driven advertising company!  

As a Software Engineer on the newly formed Self-Service team in our Tel Aviv Office, you’ll play a vital role in establishing one of Taboola’s newest and strategic growth domains- empowering advertisers and partners to independently build, optimize, and scale their campaigns. 

Our Tech Stack: Java, JS, TS, Python, Reactive, Spark, Kafka, Hadoop, Cassandra, Vertica, ES, MySQL, Memcached, HDFS, Iceberg, BigQuery, Druid, Kusto, Docker, K8S, Linux, Prometheus, Grafana, Airflow…

Gen AI: Cursor, Claude, GitHub Copilot, Langfuse and much more

 To thrive in this role, you'll need:

• 3+ years of experience in object-oriented programming, infrastructure development, and production-grade systems, with strong end-to-end ownership.
• Strong big data expertise, including hands-on work with diverse databases, analytical thinking, and a passion for scaling challenges.
• Proven technical leadership, with experience mentoring engineers and collaborating effectively across teams.
  Product- and business-driven mindset, with high self-learning abilities and confidence to dive into new domains.
• High-impact execution, demonstrating adaptability, accountability, and the drive to deliver results in complex environments.

Bonus points if you have:

Proven experience building and scaling large-scale distributed systems, including Web/JavaScript technologies, Kafka, Docker, and Kubernetes.Strong background in big data platforms, with hands-on experience in NoSQL and distributed databases (Vertica, Cassandra, Elasticsearch, BigQuery), as well as Spark and HDFS.

How you’ll make an impact:

• Design, develop, and address scalability challenges in our data pipeline and identity graph, ensuring efficient handling of high-throughput, high-performance systems
• Have end to end ownership: Design, build, ship, measure and maintain our frontend and backend services
• Collaborate with the brightest software engineers team members
• Influence directly on the way billions of people discover the internet
• Develop at unimaginable scale, serving thousands of requests per second
• Work on innovative projects that are the next growth engines for Taboola 

Why Taboola?

If you ask Taboolars what they love about working here, they’ll tell you that they’ve been empowered to realize their full potential while growing and learning from and with smart and talented people. They’ll also share more about:

• Adam Singolda, Taboola Founder and CEO says; “You can copy anything from another business but you can’t copy a company’s culture.
• Well-being: We offer a hybrid work schedule with 3 days in-office with an option to come in more often if desired.
• Flexibility: We offer a hybrid work schedule with 3 days in-office with an option to come in more often if desired.
• Work with some of the biggest names: Our publisher partners include Yahoo, Conde Nast, Fox Sports, NBCU, ESPN, CBS, and E! Online. Our advertiser clients include Wells Fargo, Honda, Pinterest, and Expedia.

Ready to realize your potential?

Taboola is an equal opportunity employer and we value diversity in all forms. We are committed to creating an inclusive environment for all employees and believe such an environment is critical for success. Employment is decided on the basis of qualifications, merit, and business need.

Learn more about #TaboolaLife on LinkedIn, Facebook, Instagram, X, YouTube, & the Taboola Life Blog.

About Taboola

Taboola empowers businesses to grow through performance advertising technology that goes beyond search and social and delivers measurable outcomes at scale.

Taboola works with thousands of businesses who advertise directly on Realize, Taboola’s powerful ad platform, reaching approximately 600M daily active users across some of the best publishers in the world. Publishers like NBC News, Yahoo, and OEMs such as Samsung, Xiaomi and others use Taboola’s technology to grow audience and revenue, enabling Realize to offer unique data, specialized algorithms, and unmatched scale.

#LI-DN1

#LI-Hybrid

Realize your potential by joining the leading performance-driven advertising company!  

As a Software Engineer on the newly formed Self-Service team in our Tel Aviv Office, you’ll play a vital role in establishing one of Taboola’s newest and strategic growth domains- empowering advertisers and partners to independently build, optimize, and scale their campaigns. 

Our Tech Stack: Java, JS, TS, Python, Reactive, Spark, Kafka, Hadoop, Cassandra, Vertica, ES, MySQL, Memcached, HDFS, Iceberg, BigQuery, Druid, Kusto, Docker, K8S, Linux, Prometheus, Grafana, Airflow…

Gen AI: Cursor, Claude, GitHub Copilot, Langfuse and much more

 To thrive in this role, you'll need:

• 3+ years of experience in object-oriented programming, infrastructure development, and production-grade systems, with strong end-to-end ownership.
• Strong big data expertise, including hands-on work with diverse databases, analytical thinking, and a passion for scaling challenges.
• Proven technical leadership, with experience mentoring engineers and collaborating effectively across teams.
  Product- and business-driven mindset, with high self-learning abilities and confidence to dive into new domains.
• High-impact execution, demonstrating adaptability, accountability, and the drive to deliver results in complex environments.

Bonus points if you have:

Proven experience building and scaling large-scale distributed systems, including Web/JavaScript technologies, Kafka, Docker, and Kubernetes.Strong background in big data platforms, with hands-on experience in NoSQL and distributed databases (Vertica, Cassandra, Elasticsearch, BigQuery), as well as Spark and HDFS.

How you’ll make an impact:

• Design, develop, and address scalability challenges in our data pipeline and identity graph, ensuring efficient handling of high-throughput, high-performance systems
• Have end to end ownership: Design, build, ship, measure and maintain our frontend and backend services
• Collaborate with the brightest software engineers team members
• Influence directly on the way billions of people discover the internet
• Develop at unimaginable scale, serving thousands of requests per second
• Work on innovative projects that are the next growth engines for Taboola 

Why Taboola?

If you ask Taboolars what they love about working here, they’ll tell you that they’ve been empowered to realize their full potential while growing and learning from and with smart and talented people. They’ll also share more about:

• Adam Singolda, Taboola Founder and CEO says; “You can copy anything from another business but you can’t copy a company’s culture.
• Well-being: We offer a hybrid work schedule with 3 days in-office with an option to come in more often if desired.
• Flexibility: We offer a hybrid work schedule with 3 days in-office with an option to come in more often if desired.
• Work with some of the biggest names: Our publisher partners include Yahoo, Conde Nast, Fox Sports, NBCU, ESPN, CBS, and E! Online. Our advertiser clients include Wells Fargo, Honda, Pinterest, and Expedia.

Ready to realize your potential?

Taboola is an equal opportunity employer and we value diversity in all forms. We are committed to creating an inclusive environment for all employees and believe such an environment is critical for success. Employment is decided on the basis of qualifications, merit, and business need.

Learn more about #TaboolaLife on LinkedIn, Facebook, Instagram, X, YouTube, & the Taboola Life Blog.

About Taboola

Taboola empowers businesses to grow through performance advertising technology that goes beyond search and social and delivers measurable outcomes at scale.

Taboola works with thousands of businesses who advertise directly on Realize, Taboola’s powerful ad platform, reaching approximately 600M daily active users across some of the best publishers in the world. Publishers like NBC News, Yahoo, and OEMs such as Samsung, Xiaomi and others use Taboola’s technology to grow audience and revenue, enabling Realize to offer unique data, specialized algorithms, and unmatched scale.

#LI-DN1

#LI-Hybrid

Realize your potential by joining the leading performance-driven advertising company!  

As a Senior Backend Engineer, you’ll be instrumental in building and optimizing our core infrastructure for managing RTB requests at scale, one of the biggest revenue driven operations in the company.

To thrive in this role, you’ll need:

• 5+ years programming experience in Java or equivalent Object-Oriented language
  (preferably Java 8+Spring)
• Production systems understanding (system architecture of web products)
• Fearlessness to dive into what you don't know
• Passion for solving problems, and working very close to the business
• Experience with SQL and No-SQL
• BSc in computer science or equivalent
• Willing to work intensively to gain fast results in an unknown field
• Product driven
• A pragmatic attitude toward decision-making (avoiding analysis paralysis)
• Strong analytical skills  

Bonus points if you have:

• Experience developing large scale distributed systems
• Experienced with Kafka/docker/k8s
• Deep understanding with web systems (API / REST / NGINX)
• Experience with SQL and NoSQL (mysql / Vertica / Cassandra)
• Experience in Big Data tools (BQ / zeppelin etc)
• Knowledge in algorithms, data-mining and machine learning

How you’ll make an impact:

As a Senior Backend Engineer, you’ll bring value by:

• Develop one of the largest real time big data operation in the world to support over 40TB of new data every day
• Have end to end ownership: Design, build, ship, measure and maintain our frontend and backend services
• Collaborate with the brightest software engineers team members
• Influence directly on the way billions of people discover the internet
• Develop at unimaginable scale, serving hundreds of thousands of requests per second
• Work on innovative projects that are the next growth engines for Taboola

Here are some of the things software developers in our group did in the last several months:

• A unique data pipeline for managing RTB requests at scale
• An algorithmic model to predict if a given Real-Time impression is valuable to Taboola
• A smart gateway that ingests hundreds of thousands of requests per second for a single instance 
• An A/B tests system to explore variations and experiments 
• And many more...

Our Tech Stack:
Java, Spark, Kafka, Hadoop, Cassandra, Vertica, MySQL, HDFS, BigQuery, Docker, Linux, Kubernetes, Prometheus, Grafana, Airflow

Why Taboola?

If you ask Taboolars what they love about working here, they’ll tell you that they’ve been empowered to realize their full potential while growing and learning from and with smart and talented people. They’ll also share more about:

• Adam Singolda, Taboola Founder and CEO says; “You can copy anything from another business but you can’t copy a company’s culture.
• Well-being: Enjoy location-specific perks.
• Flexibility: We offer a hybrid work schedule with 3 days in-office with an option to come in more often if desired.Work with some of the biggest names:
• We work with some of the biggest names in the business. Our publisher partners include Yahoo, Conde Nast, Fox Sports, NBCU, ESPN, CBS, and E! Online. Our advertiser clients include Wells Fargo, Honda, Pinterest, Expedia and Honda.

Ready to realize your potential?

Taboola is an equal opportunity employer and we value diversity in all forms. We are committed to creating an inclusive environment for all employees and believe such an environment is critical for success. Employment is decided on the basis of qualifications, merit, and business need.-

Learn more about #TaboolaLife on LinkedIn, Facebook, Instagram, X, YouTube, & the Taboola Life Blog.

About Taboola

Taboola empowers businesses to grow through performance advertising technology that goes beyond search and social and delivers measurable outcomes at scale.

Taboola works with thousands of businesses who advertise directly on Realize, Taboola’s powerful ad platform, reaching approximately 600M daily active users across some of the best publishers in the world. Publishers like NBC News, Yahoo, and OEMs such as Samsung, Xiaomi and others use Taboola’s technology to grow audience and revenue, enabling Realize to offer unique data, specialized algorithms, and unmatched scale.

#LI-Hybrid

#LI-MC1

Realize your potential by joining the leading performance-driven advertising company!  

As a Senior Software Engineer, you’ll play a vital role in establishing one of Taboola’s newest and strategic growth domains- empowering advertisers and partners to independently build, optimize, and scale their campaigns. 

Our Tech Stack: Java, JS, TS, Python, Reactive, Spark, Kafka, Hadoop, Cassandra, Vertica, ES, MySQL, Memcached, HDFS, Iceberg, BigQuery, Druid, Kusto, Docker, K8S, Linux, Prometheus, Grafana, Airflow…

Gen AI: Cursor, Claude, GitHub Copilot, Langfuse and much more

 To thrive in this role, you'll need:

• 5+ years of experience in Java, infrastructure development, and production-grade systems, with strong end-to-end ownership.
• Strong big data expertise, including hands-on work with diverse databases, analytical thinking, and a passion for scaling challenges.
• Proven technical leadership, with experience mentoring engineers and collaborating effectively across teams.
  Product- and business-driven mindset, with high self-learning abilities and confidence to dive into new domains.
• High-impact execution, demonstrating adaptability, accountability, and the drive to deliver results in complex environments.

Bonus points if you have:

Proven experience building and scaling large-scale distributed systems, including Web/JavaScript technologies, Kafka, Docker, and Kubernetes.Strong background in big data platforms, with hands-on experience in NoSQL and distributed databases (Vertica, Cassandra, Elasticsearch, BigQuery), as well as Spark and HDFS.

How you’ll make an impact:

• Design, develop, and address scalability challenges in our data pipeline and identity graph, ensuring efficient handling of high-throughput, high-performance systems
• Have end to end ownership: Design, build, ship, measure and maintain our frontend and backend services
• Collaborate with the brightest software engineers team members
• Influence directly on the way billions of people discover the internet
• Develop at unimaginable scale, serving thousands of requests per second
• Work on innovative projects that are the next growth engines for Taboola 

Why Taboola?

If you ask Taboolars what they love about working here, they’ll tell you that they’ve been empowered to realize their full potential while growing and learning from and with smart and talented people. They’ll also share more about:

• Adam Singolda, Taboola Founder and CEO says; “You can copy anything from another business but you can’t copy a company’s culture.
• Well-being: We offer a hybrid work schedule with 3 days in-office with an option to come in more often if desired.
• Flexibility: We offer a hybrid work schedule with 3 days in-office with an option to come in more often if desired.
• Work with some of the biggest names: Our publisher partners include Yahoo, Conde Nast, Fox Sports, NBCU, ESPN, CBS, and E! Online. Our advertiser clients include Wells Fargo, Honda, Pinterest, and Expedia.

Ready to realize your potential?

Taboola is an equal opportunity employer and we value diversity in all forms. We are committed to creating an inclusive environment for all employees and believe such an environment is critical for success. Employment is decided on the basis of qualifications, merit, and business need.

Learn more about #TaboolaLife on LinkedIn, Facebook, Instagram, X, YouTube, & the Taboola Life Blog.

About Taboola

Taboola empowers businesses to grow through performance advertising technology that goes beyond search and social and delivers measurable outcomes at scale.

Taboola works with thousands of businesses who advertise directly on Realize, Taboola’s powerful ad platform, reaching approximately 600M daily active users across some of the best publishers in the world. Publishers like NBC News, Yahoo, and OEMs such as Samsung, Xiaomi and others use Taboola’s technology to grow audience and revenue, enabling Realize to offer unique data, specialized algorithms, and unmatched scale.

#LI-MC1

#LI-Hybrid

Realize your potential by joining the leading performance-driven advertising company!  

As a Senior Software Engineer on the Infrastructure Engineering R&D group, you’ll play a vital role in developing one of the largest real time high scale operation in the world to support over 1.4B users, >500,000 requests / second, 140TB of new data every day.

To thrive in this role, you'll need:

• Experience developing large scale distributed systems
• Deep understanding of strong Computer Science fundamentals: object-oriented design, data structures systems, applications programming and multi threading programming
• 5+ years programming experience in Java or equivalent Object-Oriented language
• Production systems understanding
• Experience with SQL and No-SQL
• Highly Proficient in Linux environment
• Proven ability to work effectively across multiple teams
• BS.c in computer science or equivalent experience

Bonus points if you have:

• Experience in Big Data tools
• Knowledge in algorithms, data-mining and machine learning

How you’ll make an impact:

As a Senior Software Engineer, you’ll bring value by:

• Develop one of the largest real time high scale operation in the world to support over 1.4B users, >500,000 requests / second, 140TB of new data every day
• Have end to end ownership: Design, develop, deploy, measure and maintain our services
• Solve production issues in the framework code
• Collaborate with the brightest software engineers team members
• Influence directly on the way billions of people discover the internet

Here are some of the things software devs in our group did in the last several months:

• Rewrote part of our recommendation servers to reduce serving time p999 by >40%
• Rolled out custom Cassandra compaction strategy
• Created and improved Taboola’s Kafka consumer designed for very high scale
• Developed a brand new Taboola metrics pipeline, ingesting over 100B metric messages per day
• Anomaly detection engine for application metrics
• Rolled out a new custom home-built Taboola authentication service
• Many more things...

Our Tech Stack:

Java, Spark, Kafka, Hadoop, Cassandra, Vertica, MySQL, HDFS, BigQuery, Docker, Linux, Kubernetes, Prometheus, Metrictank, Grafana, Airflow, Redis

This is us!

You will work with:

• The people who wrote the first lines of code in Taboola (and many many more lines after that)
• The proud owner of a beer brewery
• People who are deeply familiar with the code of Kafka, Cassandra, AirFlow, Prometheus and Spark (including committing back)
• Famous internal Taboola hackathon winners
• The designers and implementers of a offheap, zero GC, Custom Kafka Producer which cumulatively sends ~100B messages / day

Why Taboola?

If you ask Taboolars what they love about working here, they’ll tell you that they’ve been empowered to realize their full potential while growing and learning from and with smart and talented people. They’ll also share more about:

• Adam Singolda, Taboola Founder and CEO says; “You can copy anything from another business but you can’t copy a company’s culture.
• Well-being: Enjoy comprehensive benefits (health, etc.), a fully stocked kitchen, and location-specific perks (gym partnerships, parking).
• Flexibility: We offer a hybrid work schedule with 3 days in-office with an option to come in more often if desired.
• Work with some of the biggest names: We work with some of the biggest names in the business. Our publisher partners include Yahoo, Conde Nast, Fox Sports, NBCU, ESPN, CBS, and E! Online. Our advertiser clients include Wells Fargo, Honda, Pinterest, Expedia and Honda.

Ready to realize your potential?

Taboola is an equal opportunity employer and we value diversity in all forms. We are committed to creating an inclusive environment for all employees and believe such an environment is critical for success. Employment is decided on the basis of qualifications, merit, and business need.-

Learn more about #TaboolaLife on LinkedIn, Facebook, Instagram, X, YouTube, & the Taboola Life Blog.

About Taboola

Taboola empowers businesses to grow through performance advertising technology that goes beyond search and social and delivers measurable outcomes at scale.

Taboola works with thousands of businesses who advertise directly on Realize, Taboola’s powerful ad platform, reaching approximately 600M daily active users across some of the best publishers in the world. Publishers like NBC News, Yahoo, and OEMs such as Samsung, Xiaomi and others use Taboola’s technology to grow audience and revenue, enabling Realize to offer unique data, specialized algorithms, and unmatched scale.

#LI-Hybrid

#LI-SS1

ABOUT PLACER.AI: 

Placer.ai is transforming how organizations understand the physical world. Our location analytics platform provides unprecedented visibility into locations, markets, and consumer behavior. Placer empowers thousands of customers—from Fortune 500 companies, to local governments and nonprofits— to make smarter, data-driven decisions.
What sets us apart? We've built the most advanced location intelligence platform in the market while maintaining an uncompromising commitment to privacy, proving that powerful analytics and responsible data practices can coexist.
Our growth reflects the market's demand: we reached $100M in annual recurring revenue within just 6 years of launching, achieved unicorn status with a $1B+ valuation in 2022, and continue to expand rapidly as one of North America's fastest-growing tech companies. We're creating a $100B+ market opportunity, and we're just getting started.
Named one of Forbes America's Best Startup Employers and a Deloitte Technology Fast 500 company, we're building a culture where innovation thrives, collaboration is the norm, and every team member contributes to reshaping how the world understands location.
 

SUMMARY:

• As a Senior Big Data Engineer, working within Placer.ai's Mobility Group, you will play a pivotal role in designing, developing, and maintaining the data infrastructure that powers our location analytics platform.

RESPONSIBILITIES:

• Data Pipeline Architecture and Development: Design, build, and optimize robust and scalable data pipelines to process, transform, and integrate large volumes of data from various sources into our analytics platform.
• Data Quality Assurance: Implement data validation, cleansing, and enrichment techniques to ensure high-quality and consistent data across the platform.
• Performance Optimization: Identify performance bottlenecks and optimize data processing and storage mechanisms to enhance overall system performance and reduce latency.
• Cloud Infrastructure: Work extensively with cloud-based technologies (GCP and AWS), to design and manage scalable data infrastructure.
• Collaboration: Collaborate with cross-functional teams including Data Analysts, Data Scientists, Product Managers, and Software Engineers to understand requirements and deliver solutions that meet business needs.
• Data Governance: Implement and enforce data governance practices, ensuring compliance with relevant regulations and best practices related to data privacy and security.
• Monitoring and Maintenance: Monitor the health and performance of data pipelines, troubleshoot issues, and ensure high availability of data infrastructure.
• Mentorship: Provide technical guidance and mentorship to junior data engineers, fostering a culture of learning and growth within the team.

REQUIREMENTS:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 5+ years of professional experience in software development, with at least 3 years as a Data Engineer.
• Spark expertise (mandatory): Strong proficiency in Apache Spark, including hands-on experience with building data processing applications and pipelines using Spark's core libraries.
• PySpark/Scala (Mandatory): Proficiency in either PySpark (Python API for Spark) or Scala for Spark development.
• Data Engineering: Proven track record in designing and implementing ETL pipelines, data integration, and data transformation processes.
• Cloud Platforms: Hands-on experience with cloud platforms such as AWS, GCP, or Azure.
• SQL and Data Modeling: Solid understanding of SQL, relational databases, and data modeling.
• Big Data Technologies: Familiarity with big data technologies beyond Spark, such as Hadoop ecosystem components, data serialization formats (Parquet, Delta), and distributed computing concepts.
• Programming Languages: Proficiency in programming languages like Python, Java, or Scala.
• ETL Tools and Orchestration: Familiarity with ETL tools and frameworks, such as Apache Airflow.
• Problem-Solving: Strong analytical and problem-solving skills.
• Collaboration and Communication: Effective communication skills and collaboration within cross-functional teams.
• Geospatial Domain (Preferred): Prior experience in the geospatial or location analytics domain is a plus.

WHY JOIN PLACER.AI? 

• Join a rocketship! We are pioneers of a new market that we are creating
• Take a central and critical role at Placer.ai
• Work with, and learn from, top-notch talent
• Competitive salary
• Excellent benefits

NOTEWORTHY LINKS TO LEARN MORE ABOUT PLACER 

• Placer.ai's $100M round C funding (unicorn valuation!)
• See our data in action at The Anchor
• Placer.ai in the news
• Video: About Placer for Commercial Real Estate
• Video Playlist: Placer Brand & Explainer Videos

Placer.ai is committed to maintaining a drug-free workplace and promoting a safe, healthy working environment for all employees.

Placer.ai is an equal opportunity employer and has a global remote workforce. Placer.ai’s applicants are considered solely based on their qualifications, without regard to an applicant’s disability or need for accommodation. Any Placer.ai applicant who requires reasonable accommodations during the application process should contact Placer.ai’s Human Resources Department to make the need for an accommodation known.

Data Engineer

We're hiring a Data Engineer to join our growing team of analytics experts in order to help & lead the build-out of our data integration and pipeline processes, tools and platform.

The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up.

The right candidate must be self-directed and comfortable supporting the data needs of multiple teams, systems and products. The right candidate will be excited by the prospect of optimizing or even re-designing our company’s data architecture to support our next generation of products and data initiatives.

In this role, you will be responsible for:

• Create ELT/Streaming processes and SQL queries to bring data to/from the data warehouse and other data sources.
• Establish scalable, efficient, automated processes for large-scale data analyses.
• Support the development of performance dashboards & data sets that will generate the right insight.
• Work with business owners and partners to build data sets that answer their specific business questions.
• Collaborates with analytics and business teams to improve data models that feed business intelligence tools, increasing data accessibility and fostering data-driven decision-making across the organization.
• Works closely with all business units and engineering teams to develop a strategy for long-term data platform architecture.
• Own the data lake pipelines, maintenance, improvements and schema.

About you:

• BS or MS degree in Computer Science or a related technical field.
• 3-4 years of Python / Java development experience.
• 3-4 years of experience as a Data Engineer or in a similar role (BI developer).
• 3-4 years of direct experience with SQL (No-SQL is a plus), data modeling, data warehousing, and building ELT/ETL pipelines - MUST
• Experience working with cloud environments (AWS preferred) and big data technologies (EMR,EC2, S3 ) - DBT is an advantage.
• Experience working with Airflow - big advantage
• Experience working with Kubernetes - advantage
• Experience working with at least in one of the big data environments: Snowflake, Vertica, Hadoop (Impala/Hive), Redshift etc - MUST
• Experience working with Spark - advantage
• Exceptional troubleshooting and problem-solving abilities.
• Excellent verbal/written communication & data presentation skills.

Why join Tipalti?

Tipalti is the AI-powered platform for finance automation, elevating how finance teams operate in the global economy. We empower our customers to scale faster and smarter by removing the complexities of doing global business and accelerating their finance operations efficiency. Our platform provides a comprehensive suite of finance automation solutions designed for mid-market businesses across accounts payable, global payouts, procurement, employee expenses, corporate cards, supplier management, tax compliance, and treasury. Tipalti partners with leading financial institutions such as Citi, Wells Fargo, J.P. Morgan, and Visa, enabling over 5,000 global companies to efficiently and securely pay millions of suppliers and payees across 200+ countries and territories, in 120 currencies.

At Tipalti, we pride ourselves on our collaborative culture, the quality of our product and the capabilities of our people. Tipaltians are passionate about the work they do, and keen to get the job done. Tipalti offers competitive benefits, a flexible workplace, career coaching, and an environment where diverse individuals can thrive and make an impact. Our culture ensures everyone checks their egos at the door and stands ready to reach for success together. 

Founded in Israel in 2010, Tipalti is a global business headquartered in the San Francisco Bay Area (Foster City) with offices in Tel Aviv, Plano, Toronto, Vancouver, London, Amsterdam, Tbilisi and Medellin.

Our tech teams are the engine behind our business. Tipalti’s tech ecosystem is extremely rich and we continually add new features to our products, ensuring that we respond to our clients’ needs at scale. Our tech teams retain a fast-paced, start-up vibe that encourages innovation and critical thinking. At Tipalti, you’ll have the opportunity to work with a diverse, global team of engineers, developers and product leaders who are collectively building the future of our best-in-class product suite as we transform financial operations for the future.

About Our Tel Aviv Offices:

Hybrid Work Model - Tipalti offers a hybrid work model, with two days per week working from home and three days per week from our beautiful offices in North Tel Aviv.

Shuttle Services - Shuttle services are available from the nearest train station and across Tel Aviv to the office.

Parking - Parking is available for all employees.

Snacks & Treats - Enjoy a selection of snacks and treats available on every floor.

#IL-hybrid

Aerospike is the real-time database for mission-critical use cases and workloads, including machine learning, generative, and agentic AI. Aerospike powers millions of transactions per second with millisecond latency, at a fraction of the total cost of ownership compared to other databases.

Global leaders, including Adobe, Airtel, Barclays, Criteo, DBS Bank, Experian, Grab, HDFC Bank, PayPal, Sony Interactive Entertainment, The Trade Desk, and Wayfair, rely on Aerospike for customer 360, fraud detection, real-time bidding, profile stores, recommendation engines, and other use cases. 

Headquartered in Mountain View, California, Aerospike has a global presence with offices in London, Bangalore, and Tel Aviv.

Job Summary

Aerospike is looking for a technically sharp, customer-focused Solutions Architect to help drive adoption of our blazing-fast real-time data platform. In this high-impact role, you’ll partner closely with our sales team to win business by translating complex technical capabilities into clear, compelling value for our customers.

Based in Israel, you’ll serve as the technical expert and strategic advisor throughout the sales process — from discovery to demo to deployment. Whether it’s architecting a high-scale solution, answering in-depth questions, or running a proof of concept, your expertise will be key to helping customers realize the power of Aerospike.

This is a pre-sales position.

Responsibilities:

Preparing and developing technical presentations to explain our company's products or services to customers.

• Discussing equipment needs and system requirements with customers and engineers.
• Collaborating with sales teams to understand customer requirements and provide sales support.
• Researching, developing, and identifying modifying products to meet customers' technical requirements and needs.
• Soliciting and logging client feedback and evaluating the data to create new sales and marketing strategies to target customers.
• Identifying areas for improvement and communicating these issues as well as possible solutions to upper management, including product managers.
• Setting and achieving sales goals and quotas.
• Training other members of the sales team on the technical aspects of the company's products and services.

Prerequisites

• Excellent presentation, communication, and interpersonal skills
• Excellent customer-facing skills directed toward C-Level and Developers
• Linux experience is a must
• Databases; NoSQL, Relational, Distributed, MPP
• Self-starter: must be able to assess, prioritize and complete work with minimal supervision
• Ability to work well under pressure
• Hadoop; Spark, HBase, HDFS, Hive, Impala
• Independent problem solving and troubleshooting skills
• Understand the complexities of mission critical applications
• Feedback field requirements to product management and engineering 
• Enable customers and partners through Meetups, ‘Beer and Curry’, Training sessions and Hack-a-Thons
• Knowledge Graph, Timeseries, and Feature Stores
• Language: Strong coding skills in at least one language: Java, C/C++, Python, Go,etc

Preferred

• Database; Aerospike, Yugabyte, Cockroach, MongoDB, Cassandra, HBase, Couchbase, etc.
• Cloud; AWS, Microsoft, Google 
• Docker and Kubernetes
• Compute knowledge; Networking, CPUs, SSDs, Memory, etc.
• The ability to travel up to 30% of the time.
• Previous experience working for a small to medium business
• Based in Israel. 

Aerospike is an Equal Opportunity Employer. We are committed to providing an environment free from discrimination on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law.

Nift is disrupting performance marketing, delivering millions of new customers to brands every month. We’re actively looking for a hands-on Senior Data Scientist to focus on building ML models for scalable consumer-based services (or non-consumer services that require highly scalable ML models for predictions and classifications).

As a Senior Data Scientist, you’ll report to the Data Science Manager and work closely with both our Data Science and Engineering teams. You will play a crucial role in developing models for complex parts of our business. You will analyze large datasets, identify patterns, and develop a variety of model types. You’ll also contribute to the improvement and re-design of our current models. You will collaborate closely with cross-functional teams to translate insights into actionable solutions. This is a hands-on position where you will apply your expertise in statistical modeling, machine learning, and data mining techniques.

This role is ideally based in Israel, but strong candidates from the U.S. will also be considered.

Our Mission: 

Nift’s mission is to reshape how people discover and try new brands by introducing them to new products and services through thoughtful "thank-you" gifts. Our customer-first approach ensures businesses acquire new customers efficiently while making customers feel valued and rewarded.

We are a data-driven, cash-flow-positive company that has experienced 731% growth over the last three years. Now, we’re scaling to become one of the largest sources for new customer acquisition worldwide. Backed by investors who supported Fitbit, Warby Parker, and Twitter, we are poised for exponential growth and ready to demonstrate impact on a global scale. Read more about our growth here.

What you will do:

• Data Analysis and Exploration: You will need to explore and analyze large volumes of data to gain insights and identify patterns relevant to your modeling objectives. This involves data cleaning, preprocessing, and transforming data into a suitable format for modeling
• Model Development: You will design and develop models using statistical and machine-learning techniques. This includes selecting appropriate algorithms, feature engineering, model training, and evaluation
• Data Preparation: You will be responsible for preparing the data required for modeling, including gathering and integrating data from various sources, ensuring data quality and consistency, and defining appropriate features and variables
• Model Evaluation and Testing: You will assess the performance and accuracy of the models using appropriate evaluation metrics. This includes conducting experiments, cross-validation, and measuring the effectiveness of recommendations
• Optimization and Tuning: You will fine-tune models to optimize their performance, improve accuracy, reduce bias or overfitting, and enhance the efficiency of the algorithms. provide actionable recommendations
• Analyze large datasets to identify patterns, trends, and insights that can be leveraged to improve business performance
• Design, build and evaluate systems to personalize consumer experience and drive customer engagement
• Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions
• Conduct rigorous testing and validation of models to ensure their accuracy, robustness, and reliability
• Monitor model performance, identify areas of improvement, and continuously refine models based on new data and evolving business needs
• Stay up-to-date with the latest advancements in data science, machine learning, and recommendation system technologies, and apply them to solve business challenges 

What You Need:

• Master's or Ph.D. in a quantitative field such as Computer Science, Statistics, Applied Mathematics, Economics, Physics, or a related discipline
• 5+ years of experience working in a professional setting deploying models
• Strong experience in building and deploying into production predictive models and recommendation systems using statistical modeling, machine learning, and data mining techniques
• Proficiency in Machine Learning: You should have a deep experience with various machine learning techniques, such as regression, classification, clustering, dimensionality reduction, and ensemble methods. Familiarity with popular algorithms like decision trees, random forests, Boosted trees, and regularized regression.
• Experience with match-propensity models, embeddings based models, cold-start handling, calibration/post-processing, integrating models into ad-tech workflows and business logic, measuring model performance within ad-tech systems.
• Strong Background in Statistics and Mathematics: A solid foundation in statistical concepts, linear algebra, calculus, and probability theory is essential for understanding the principles behind machine learning algorithms and recommendation systems
• Proficiency in programming languages such as Python or R, along with experience in data manipulation and analysis using libraries like NumPy, Pandas, or SciPy
• Solid understanding of data preprocessing, feature engineering, and model evaluation techniques
• Experience in ad-tech is a must, media/advertising platforms, demand-side platforms and supply-side platforms in digital advertising or retail-media networks
• Familiarity with big data technologies and distributed computing frameworks (e.g., Hadoop, Spark) is a plus
• Problem-solving skills and the ability to think critically to develop innovative solutions
• Excellent communication and collaboration skills to effectively work with cross-functional teams and present complex findings

What you get: 

• Competitive compensation, flexible remote work
• Unlimited Responsible PTO
• Great opportunity to join a growing, cash-flow-positive company while having a direct impact on Nift's revenue, growth, scale, and future success