• Lead a team of Engineers, setting clear expectations and providing continuous feedback, coaching, and mentoring to ensure success and growth
• Working closely with feature owners, economy, liveops and other development teams to implement feature simulations and technological pipelines for Monopoly GO!
• Driving the implementation of systems that transform raw game data into analytical datasets for simulation and evaluation
• Ensuring technical performance is “Best-in-Class” throughout development
• Writing automated, high-quality tests (unit, integration, load, etc.) and working with QA teams to improve gameplay experience, curtail exploits and ensure that everything works smoothly
• Reviewing Technical Design Documents and provide feedback and guidance to other engineers
• Collaborating and communicating with cross-functional departments including: economy, liveops, qa, etc.
• Participating in a strong engineering team and culture
• Live game support & troubleshooting
• Contributing to technical plans and discussing the workflows and requirements with stakeholders
• Implementing tools to empower our liveops and game design teams in the creation of new and exciting game-play experiences
• Explore AI-assisted tools (LLMs, copilots, automation frameworks) to improve productivity, enhance analysis depth, and accelerate iteration cycles

• 6+ years as part of a professional game development team or other relevant area
• Experience managing people, driving 1:1s and performance reviews, doing follow ups and providing regular feedback to direct reports
• Experience driving and leading the technical execution of complex and interdisciplinary developments
• Mastery of C#, Python or another OO language, including experience with asynchronous and multi-threaded programming paradigms
• Hands-on experience with cloud computing (AWS, GCP...) and low-latency, high-scale distributed systems
• Strong computer science and engineering fundamentals (data structures, concurrency, design patterns, algorithms)
• Strong understanding of game framework architecture at scale, maintainability over time, robust API design, etc.
• Strong knowledge of application design best patterns and practices; understanding of maintainability concerns when designing and implementing applications
• Enjoy solving complex technical problems, especially in large systems
• Willingness to learn and work with new technologies
• You’re a great tech communicator who knows how to share knowledge with non-technical people
• You have a desire to seek out and take on user feedback to drive world class application development
• A passion for games

• Experience building your own games as personal projects or game jams
• Experience with AWS, Docker, Kibana, Ansible
• Experience with automated testing
• Solid experience with SQL and at least one data warehouse (BigQuery preferred)
• Knowledge of probability, applied statistics, and simulation techniques
• Experience with distributed processing tools: Spark, PySpark, or alternatives
• Experience building ETL/ELT pipelines using Airflow, DBT, or similar frameworks
• Experience in gaming, monetization, or game economy
• Familiarity with gameplay logic or LiveOps systems
• Experience developing internal libraries or tools for non-technical teams
• Curiosity for experimenting with AI systems to extend capabilities of existing pipelines or prototype new evaluation methods

At Scopely, we believe in creating a supportive work environment where everyone is treated with respect and inclusivity. We welcome individuals from all backgrounds and are committed to providing equal employment opportunities regardless of age, race, ethnicity, gender, sexual orientation, religion, disability, or any other protected status.

• Lead a team of Engineers, setting clear expectations and providing continuous feedback, coaching, and mentoring to ensure success and growth
• Working closely with feature owners, economy, liveops and other development teams to implement feature simulations and technological pipelines for Monopoly GO!
• Driving the implementation of systems that transform raw game data into analytical datasets for simulation and evaluation
• Ensuring technical performance is “Best-in-Class” throughout development
• Writing automated, high-quality tests (unit, integration, load, etc.) and working with QA teams to improve gameplay experience, curtail exploits and ensure that everything works smoothly
• Reviewing Technical Design Documents and provide feedback and guidance to other engineers
• Collaborating and communicating with cross-functional departments including: economy, liveops, qa, etc.
• Participating in a strong engineering team and culture
• Live game support & troubleshooting
• Contributing to technical plans and discussing the workflows and requirements with stakeholders
• Implementing tools to empower our liveops and game design teams in the creation of new and exciting game-play experiences
• Explore AI-assisted tools (LLMs, copilots, automation frameworks) to improve productivity, enhance analysis depth, and accelerate iteration cycles

• 6+ years as part of a professional game development team or other relevant area
• Experience managing people, driving 1:1s and performance reviews, doing follow ups and providing regular feedback to direct reports
• Experience driving and leading the technical execution of complex and interdisciplinary developments
• Mastery of C#, Python or another OO language, including experience with asynchronous and multi-threaded programming paradigms
• Hands-on experience with cloud computing (AWS, GCP...) and low-latency, high-scale distributed systems
• Strong computer science and engineering fundamentals (data structures, concurrency, design patterns, algorithms)
• Strong understanding of game framework architecture at scale, maintainability over time, robust API design, etc.
• Strong knowledge of application design best patterns and practices; understanding of maintainability concerns when designing and implementing applications
• Enjoy solving complex technical problems, especially in large systems
• Willingness to learn and work with new technologies
• You’re a great tech communicator who knows how to share knowledge with non-technical people
• You have a desire to seek out and take on user feedback to drive world class application development
• A passion for games

• Experience building your own games as personal projects or game jams
• Experience with AWS, Docker, Kibana, Ansible
• Experience with automated testing
• Solid experience with SQL and at least one data warehouse (BigQuery preferred)
• Knowledge of probability, applied statistics, and simulation techniques
• Experience with distributed processing tools: Spark, PySpark, or alternatives
• Experience building ETL/ELT pipelines using Airflow, DBT, or similar frameworks
• Experience in gaming, monetization, or game economy
• Familiarity with gameplay logic or LiveOps systems
• Experience developing internal libraries or tools for non-technical teams
• Curiosity for experimenting with AI systems to extend capabilities of existing pipelines or prototype new evaluation methods

At Scopely, we believe in creating a supportive work environment where everyone is treated with respect and inclusivity. We welcome individuals from all backgrounds and are committed to providing equal employment opportunities regardless of age, race, ethnicity, gender, sexual orientation, religion, disability, or any other protected status.

• Lead a team of Engineers, setting clear expectations and providing continuous feedback, coaching, and mentoring to ensure success and growth
• Working closely with feature owners, economy, liveops and other development teams to implement feature simulations and technological pipelines for Monopoly GO!
• Driving the implementation of systems that transform raw game data into analytical datasets for simulation and evaluation
• Ensuring technical performance is “Best-in-Class” throughout development
• Writing automated, high-quality tests (unit, integration, load, etc.) and working with QA teams to improve gameplay experience, curtail exploits and ensure that everything works smoothly
• Reviewing Technical Design Documents and provide feedback and guidance to other engineers
• Collaborating and communicating with cross-functional departments including: economy, liveops, qa, etc.
• Participating in a strong engineering team and culture
• Live game support & troubleshooting
• Contributing to technical plans and discussing the workflows and requirements with stakeholders
• Implementing tools to empower our liveops and game design teams in the creation of new and exciting game-play experiences
• Explore AI-assisted tools (LLMs, copilots, automation frameworks) to improve productivity, enhance analysis depth, and accelerate iteration cycles

• 6+ years as part of a professional game development team or other relevant area
• Experience managing people, driving 1:1s and performance reviews, doing follow ups and providing regular feedback to direct reports
• Experience driving and leading the technical execution of complex and interdisciplinary developments
• Mastery of C#, Python or another OO language, including experience with asynchronous and multi-threaded programming paradigms
• Hands-on experience with cloud computing (AWS, GCP...) and low-latency, high-scale distributed systems
• Strong computer science and engineering fundamentals (data structures, concurrency, design patterns, algorithms)
• Strong understanding of game framework architecture at scale, maintainability over time, robust API design, etc.
• Strong knowledge of application design best patterns and practices; understanding of maintainability concerns when designing and implementing applications
• Enjoy solving complex technical problems, especially in large systems
• Willingness to learn and work with new technologies
• You’re a great tech communicator who knows how to share knowledge with non-technical people
• You have a desire to seek out and take on user feedback to drive world class application development
• A passion for games

• Experience building your own games as personal projects or game jams
• Experience with AWS, Docker, Kibana, Ansible
• Experience with automated testing
• Solid experience with SQL and at least one data warehouse (BigQuery preferred)
• Knowledge of probability, applied statistics, and simulation techniques
• Experience with distributed processing tools: Spark, PySpark, or alternatives
• Experience building ETL/ELT pipelines using Airflow, DBT, or similar frameworks
• Experience in gaming, monetization, or game economy
• Familiarity with gameplay logic or LiveOps systems
• Experience developing internal libraries or tools for non-technical teams
• Curiosity for experimenting with AI systems to extend capabilities of existing pipelines or prototype new evaluation methods

At Scopely, we believe in creating a supportive work environment where everyone is treated with respect and inclusivity. We welcome individuals from all backgrounds and are committed to providing equal employment opportunities regardless of age, race, ethnicity, gender, sexual orientation, religion, disability, or any other protected status.

The role

Nebius is looking for a Senior Data Scientist to build and deploy time series forecasting and classical machine learning models that support core business planning and operational decisions. You will own problems end-to-end, from data exploration and feature engineering to model deployment and monitoring, working with large-scale, real-world datasets.

The role emphasizes strong statistical thinking, robust modeling, and production reliability over experimentation with trendy frameworks. Your work will directly impact forecasting accuracy, resource planning, and key business metrics.

You’re welcome to work in our offices in Tel Aviv.

Your responsibilities will include: 

• Time series forecasting. Design, build, and maintain forecasting models (e.g., demand, usage, capacity). Evaluate performance using appropriate metrics and improve accuracy over time.
• Classical ML modeling. Develop and deploy models using regression,Binary classifcatiom ,  tree-based methods, and other well-established approaches where they provide the best trade-off between performance, interpretability, and maintainability.
• Feature engineering & data preparation. Build robust pipelines for data cleaning, transformation, and feature generation (including time-based features, seasonality, and external signals).
• Model evaluation & monitoring.Define evaluation frameworks, backtesting strategies, and monitoring to ensure models remain stable and reliable in production.
• Production & MLOps. Deploy models into production environments, collaborate on pipeline orchestration, and ensure reproducibility and version control.
• Exploratory analysis. Analyze large datasets to identify patterns, anomalies, and drivers of change in time-dependent behavior.
• Stakeholder collaboration. Work closely with business and product teams to define forecasting needs, align on success metrics, and translate model outputs into actionable insights.
• Cross-domain contribution. Contribute to adjacent data science areas (e.g., LLM-based systems) as needed, ensuring shared ownership and continuity across team responsibilities.

We expect you to have: 

• Experience as a data scientist working in production environments (5+ years).
• Experience with time series modeling and forecasting techniques.
• Experience building reliable data pipelines and working with large datasets.
• Experience with modern data science tools and ecosystems using Python (e.g., NumPy, Pandas, Scikit-learn, deep learning frameworks).
• Strong SQL skills and experience working with large datasets.
• Strong foundation in statistics and machine learning fundamentals.
• Background in Computer Science, Statistics, Mathematics, Industrial Engineering, Economics, or a related field (Master’s degree or equivalent).
• Demonstrated ability to take models from idea to production and ensure ongoing value.
• Demonstrated ability to apply structured thinking and robust evaluation in forecasting problems.
• Strong communication skills and ability to explain model outputs, uncertainty, and limitations.
• Working knowledge of spoken and written English.

It will be an added bonus if you have: 

• Experience working in cloud environments (preferably Azure).
• Experience with MLOps tools and production model lifecycle management.
• Experience with workflow orchestration tools such as Apache Airflow.
• Familiarity with LLM-based systems (e.g., evaluation, RAG pipelines) in applied settings.

BeyondTrust is a place where you can bring your purpose to life through the work that you do, creating a safer world through our cyber security SaaS portfolio.

Our culture of flexibility, trust, and continual learning means you will be recognized for your growth, and for the impact you make on our success. You will be surrounded by people who challenge, support, and inspire you to be the best version of yourself.

The Role

As a Senior Software Development Engineer, you will be crucial in launching and supporting Entitle - BeyondTrust’s Just-In-Time Access Management system. You will be part of a fast-paced team designing, developing, delivering, and maintaining a cloud-based software solution utilizing modern orchestration technologies. This is a unique opportunity for you to step up as a technical leader in solving cloud-scale challenges and deliver a bar-raising platform system. This role is based in our central Tel Aviv office.

What You’ll Do

• Design, build, and maintain highly scalable and resilient backend components, services, and orchestration.
• Deliver outstanding user experience for complex API-based integrations.
• Contribute to the design of systems and provide technical leadership for projects with increasing complexity.
• Review functional and technical requirements to identify gaps and limitations, propose simplifications, and communicate ideas effectively with cross-functional teams.
• Be a bar-raiser for delivering results and taking end-to-end ownership individually and as part of a team.
• Relentless pursuit of high quality by leveraging engineering best practices.

What You’ll Bring

• 5+ years’ experience delivering and supporting enterprise-ready cloud-based systems.
• Solid Understanding of modern design patterns.
• Excellent communication and collaboration skills to work effectively with cross-functional teams.
• Experience with the full lifecycle of development, including product release in an agile environment.
• Experience working on an Agile team in a continuous integration and development environment.
• Hands-on experience in architecting and developing backend services.
• Proficient in Python with a deep understanding of OOP, System Design, Networks and Linux.
• Experience working with public cloud providers: AWS, Google Cloud, and Azure.
• Experience with data engineering technologies: RabbitMQ, S3, ClickHouse, Airflow, Spark, Elasticsearch.
• Experience in connecting to API services with limited functionality or scalability.
• Experience in developing scalable microservices architectures.
• Experience with performance optimization techniques for backend components running on cloud as well as on-prem.
• Understanding of Continuous Integration and Continuous Delivery strategies.
• Understanding of monitoring and alerting strategies.
• Familiarity with unit testing frameworks and end-to-end testing tools.

Who You Are

• You are a team player, eager and open to sharing successes and failures.
• You are flexible and can handle ambiguity and adapt to shifting situations and requirements.
• You are excited about AI and move with urgency to embed it across your work—from day-to-day tasks to production workflows—proactively experimenting, advocating for the right tools, and sharing learnings.
• You take the initiative to fix issues before being assigned to them. You are persistent when facing roadblocks, overcoming them efficiently, and know how to coordinate with others when necessary.
• You hold high standards, continuously raise the bar, and drive our teams to deliver high- quality products, services, and processes.
• You understand software development best practices from appropriate testing paradigms to effective peer code reviews and resilient architectures.
• You know how to balance speed and risks; you make decisions based on data.

Better Together

Diversity. Inclusion. They’re more than just words for us. They are the guiding values of how we build our teams, cultivate leaders, and create a culture where people feel connected.

We take care of our employees so they can take care of our customers. Customers who come from all walks of life just like us. We hire incredible people from diverse backgrounds because when we are different together, we are stronger together.

About Us

BeyondTrust is the worldwide leader in intelligent identity and access security, enabling organizations to protect identities, stop threats, and deliver dynamic access. We are leading the charge in innovating identity-first security and are trusted by 20,000 customers, including 75 of the Fortune 100, plus a global ecosystem of partners.

Learn more at www.beyondtrust.com. 

#LI-BS1

Transmit Security gives businesses the modern tools they need to build secure, trusted and end-to-end digital identity journeys to innovate and grow. 

CX-focused, cybersecurity conscious leaders rely on Transmit Security’s xCIAM platform to provide their customers with smooth experiences protected from fraud across all channels and devices.

Transmit Security serves many of the world’s largest banks, insurers, retailers, and other leading brands, collectively responsible for more than $1.3 trillion in annual commerce. 

About the Role:

Transmit Security is a top player in its game and is heading for an exciting year.

In this role, you will take an integral part in the creation of a new and innovative SaaS product.

If you are a talented software engineer that likes to solve complex problems and looking for your next challenge we want you to join our team!

What you’ll do: As the Team Leader at Transmit Security, you will lead a talented team to design, implement, and deploy scalable data solutions for an innovative SaaS product. You’ll be responsible for shaping the direction of a system that impacts millions of users worldwide. If you're an experienced manager with a strong technical background, ready to lead in a dynamic, fast-paced production environment, we want you on our team!

Responsibilities:

• Collaborate effectively with cross-functional teams (Data Science, Security, etc.) to ensure alignment on business needs and security standards.
• Manage the technical backlog, make critical decisions on product milestones, and ensure timely, secure, high-quality delivery and deployment.
• Foster the growth of team members through mentorship, personal development opportunities, and the promotion of continuous improvement.
• Identify, manage, and mitigate security risks across the data platform, maintaining high standards in all initiatives.
• Define and implement methodologies to guarantee the performance, scalability, and quality of our data infrastructure.

What We're Looking For:

• 5+ years of software engineering experience, with at least 2 years in a leadership capacity.
• Extensive knowledge of distributed computing platforms (Flink, Spark, Beam) and cloud platforms (AWS, GCP, Azure).
• Proficiency in programming languages such as Python, Java, Scala, or Go.
• Demonstrated strong leadership abilities, including guiding teams, managing backlogs, and fostering effective cross-functional collaboration.
• Proven experience in managing security risks and ensuring high-quality, scalable, and compliant systems.
• Ability to maintain focus on key priorities and excel in a fast-paced, dynamic production environment.

Advantages:

• Bachelor’s degree in Computer Science or a related field.
• Experience with microservice architecture, data management tools (Kafka, Airflow, MLOps), and CI/CD processes.
• Familiarity with databases (Postgres SQL, Redis) and Kubernetes.
• Background in identity management, risk assessment, or fraud detection.

#LI-AM1 #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 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

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 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 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

SUMMARY

We’re looking for a talented Data Engineer to join our Data team and spread the power of Wiz.  The Data team develops and maintains the infrastructure for internal data and product analytics. We are looking for data enthusiasts, independent, logical thinkers with a can-do approach and a passion for problem-solving. We run a SaaS-based stack using BigQuery, Snowflake and dbt.

WHAT YOU'LL DO

• Design, build, and maintain data pipelines, datasets and catalogs for fast-growing products and business groups.
• Develop self-service data analytics solutions and infrastructure.
• Support ad hoc needs and requests of internal stakeholders.
• Collaborate with analysts, engineers, and internal customers from Product, Finance, Revenue, and Marketing.

WHAT YOU'LL BRING

• Bachelor’s or Master’s degree in a relevant technical field, or equivalent hands-on experience in software development or DevOps.
• 3+ years of experience working as a Data Engineer, including end-to-end designing, orchestrating, and building cloud-based data pipelines (e.g., Airflow, Prefect, Dagster).
• 3+ years of experience with dimensional data modeling and data warehouse implementation, specifically MPP databases like BigQuery, Snowflake, and Redshift.
• Strong knowledge of Python and Python-based data analysis tools such as Jupyter Notebooks and pandas.
• Strong SQL writing skills. Ability to write highly performant queries.
• Strong track record of executing projects independently in dynamic environments.
• Fast understanding of data and business needs and ability to translate them into data models.
• Team player with excellent communication skills.
• Containerization (Docker): Essential for reproducible environments.
• Knowledge of software engineering best practices: CI/CD concepts, code reviews, and unit testing.

ADVANTAGE

• Production-level experience with dbt, including project design, transformation, testing, and documentation.
• Infrastructure-as-Code (Terraform): Managing cloud resources (S3 buckets, IAM roles) via code.
• CI/CD pipelines (GitHub Actions/Jenkins): Automating the testing and deployment of data models.

By submitting your application, you acknowledge that Wiz will process your personal data in accordance with Wiz's Privacy Policy and that you consent to the retention of your application for consideration for future opportunities at Wiz.

At Similarweb, we're revolutionizing the way businesses interact with the digital world by revealing to them everything that happens online. Our cutting-edge platform and unique data empower over 4,300 customers globally, including industry giants like Google, eBay, and Adidas, to make game-changing decisions that drive their digital strategies.

In 2021, we went public on the New York Stock Exchange, and we haven’t stopped growing since!  

We’re looking for a Data Engineer to join our Data Labs (DL) department, which specializes in professional services for our super-premium customers. This role will report to our DL (Datalabs) Data Science Team Manager in the R&D.

Why is this role so important at Similarweb?

Similarweb is a data-focused company, and our unique AI and machine learning capabilities are the center of our business.

As part of this role, you will create and support a complex data model pipeline that helps analyze the petabytes of data we receive from various sources, and research and develop new features and capabilities for our product solutions

As a data engineer in the Datalabs team, you will work on the very core of the company. Part of your role will be to create processes that help turn raw data into usable metrics and leverage AI models and statistical algorithms to support out-of-the-box requests from customers who want custom data labs. The Datalabs department’s business-oriented nature also means you will be supporting a team of analysts and data scientists who interact directly with customers. Together with them, you will translate the voice of these customers into best-in-class data labs.

So, what will you be doing all day?

• Building and maintaining our big-data pipelines 
• Take a major part in designing and implementing complex high-scale systems using a large variety of technologies
• Be part of a team with smart and motivated engineers, and data scientists, to collaborate on the planning, development, and maintenance of our products
• Implement solutions in the AWS cloud environment, and work in Databricks with PySpark 

This is the perfect job for someone who:

• Holds a BSc degree in Computer Science or equivalent practical experience.
• You love building robust, fault-tolerant, and scalable systems and products
• You are a go-getter and a team player with a sense of ownership. 
• Has at least 3+ years of server-side software development experience in one or more general-purpose programming languages (C#, Go, Python, etc.)
• Experience building large-scale web APIs: advantage for working with Microservices architecture, AWS, and databases (Redis, PostgreSQL, Firebolt)
• Familiarity with Big Data technologies: A familiarity with Spark, Databricks, and Airflow is a big advantage.
• Worked in a cloud environment such as AWS or GCP, and is familiar with its different services.
• Familiarity with ML pipelines and applications
• Familiarity with LLM tools and frameworks

*All Similarweb offices work in a hybrid model, so you can enjoy the flexibility of working from home with the benefits of building face to face connections with fellow Similarwebbers.*

Why you’ll love being a Similarwebber:

You’ll actually love the product you work with: Our customers aren’t our only raving fans. When we asked our employees why they chose to come work at Similarweb, 99% of them said “the product.” Imagine how exciting your job is when you get to work with the most powerful digital intelligence platform in the world.

You’ll find a home for your big ideas:  We encourage an open dialogue and empower employees to bring their ideas to the table. You’ll find the resources you need to take initiative and create meaningful change within the organization. 

We offer competitive perks & benefits: We take your well-being seriously, and offer competitive compensation packages to all employees. We also put a strong emphasis on community, with regular team outings and happy hours.

You can grow your career in any direction you choose: Interested in becoming a VP or want to transition into a different department? Whether it’s Career Week, personalized coaching, or our ongoing learning solutions, you’ll find all the tools and opportunities you need to develop your career right here.

Diversity isn’t just a buzzword: People want to work in a place where they can be themselves. We strive to create a workplace that is reflective of the communities we serve, where everyone is empowered to bring their full, authentic selves to work. We are committed to inclusivity across race, gender, ethnicity, culture, sexual orientation, age, religion, spirituality, identity and experience. We believe our culture of equality and mutual respect also helps us better understand and serve our customers in a world that is becoming more global, more diverse, and more digital every day.

The opportunity
SuperSonic is looking for a passionate Senior Data Scientist, to work end to end on some of our core problems. Solving these will help drive revenue and improve decision making.

As a Senior Data Scientist you will be handed a business problem and will be asked to provide an end to end solution - Unpack and thoroughly understand the business problem, define the strategy to deal with it and develop & deploy your solution along with relevant support.

What you'll be doing

• Design and implement end-to-end solutions - from business needs all the way to live deployment
• Monitor and own models in production
• Model, design, and implement machine learning and data mining algorithms
• Perform deep data analysis to evaluate performance and recommend improvements
• Help, guide and support our business partners to allow for scale and accuracy while adopting your solutions

What we're looking for

• At least 5 years of experience as data scientist /researcher, combining excellent hands-on SQL and Python skills
• At least 5 years of experience applying ML algorithms to solve real world business problems (e.g., Logistic Regression, Gradient Boosting Machines, Neural Networks, and unsupervised clustering)
• B.Sc in Computer Science, Statistics, Operations Research or equivalent
• Solid background with data lake and data warehouse technologies
• Great communication skills, Hands-On, independent and out of the box thinker

You might also have

• Experience in the Mobile gaming and advertising industries
• Proven experience with Airflow development
• Experience with big data technologies such as Spark, Trino, SingleStore DB
• Experience with Cloud Computing

Additional information

• Relocation support is not available for this position
• Work visa/immigration sponsorship is not available for this position

Benefits
At Unity, we want our team members to thrive. We offer a wide range of benefits designed to support well-being and work-life balance.

Please note: Benefits eligibility, specific offerings, and coverage vary based on the country and employment status.

While specific benefits vary, here are some of the ways we strive to take care of our eligible team members globally: Comprehensive health, life, and disability insurance | Commute subsidy | Employee stock ownership | Competitive retirement/pension plans | Generous vacation and personal days | Support for new parents through leave and family-care programs | Office food snacks | Mental Health and Wellbeing programs and support | Employee Resource Groups | Global Employee Assistance Program | Training and development programs | Volunteering and donation matching program

Life at Unity

Unity [NYSE: U] is the world’s leading game engine, powering play for more than 3 billion consumers each month. The top mobile games in the world, the most played PC indie titles, the most innovative console games, and virtually all of the top XR and Web Games are developed, deployed, and grown in Unity. Unity also enables teams across industries like automotive, manufacturing, and healthcare to design, simulate, and collaborate in 3D — closing the gap between ideas and reality. For more information, please visit www.unity.com.

Unity is a proud equal opportunity employer. We are committed to fostering an inclusive, innovative environment and celebrate our employees across age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law. Our differences are strengths that enable us to support the growing and evolving needs of our customers, partners, and collaborators. If you have a disability that means there are preparations or accommodations we can make to help ensure you have a comfortable and positive interview experience, please fill out this form to let us know.

This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English.

Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. Unity does not accept unsolicited headhunter and agency resumes. Unity will not pay fees to any third-party agency or company that does not have a signed agreement with Unity.

Your privacy is important to us. Please take a moment to review our Prospect and Applicant Privacy Policies. Should you have any concerns about your privacy, please contact us at DPO@unity.com.

#SEN

Responsibilities

  - Develop and maintain systems that can process complex requests within a few milliseconds
  - Tackle advanced engineering challenges in multiple languages and environments
  - Own every product that the team manages, from ideation and planning all the way to production and monitoring
  - Teach and learn — we love to inspire and be inspired, and make sure that each team member has their place to grow and excel
  - Work both autonomously and collaboratively with the team and other Optimove teams

  Requirements

  - 3-5 years of experience in backend development
  - B.Sc. in Computer Science or equivalent
  - Hands-on experience with one or more of the following programming languages: NodeJS / Python
  - Experience working with SQL and NoSQL databases
  - Experience with cloud development, microservices, and serverless architecture
  - Working with high scale using Docker and Kubernetes
  - Experience with AI-powered development tools such as Claude / Cursor

  Advantages

  - Ability to work in a multi-language environment
  - Hands-on experience with one or more of the following technologies: Airflow, Dataflow, and Terraform
  - Hands-on experience with multiple services on Google Cloud Platform

About The Role:

We’re hiring a Senior ML Software Engineer to build and own the foundations that enable our data science teams to ship ML and GenAI systems to production. You’ll develop core capabilities such as data/feature pipelines, training and evaluation infrastructure, and model/agent serving.

What You’ll Do

• Build and own backend systems and APIs that support end-to-end ML workflows (data → training → deploy).
• Design for performance, scalability, reliability, and cost in production ML environments.
• Develop infrastructure for LLM/agentic workflows (tool execution, retrieval, evaluation, observability).
• Partner closely with data scientists to iterate on platform capabilities and developer experience.
• Drive Innovation: Continuously evaluate and integrate emerging infrastructure technologies that can give Honeycomb’s AI platform a competitive edge.

Basic Requirements

• 5+ years in data/backend engineering. 
• Strong background in Python and experience with large-scale systems and automation.
• Strong system design and API development skills.
• Experience with containerized environments such as Docker and Kubernetes
• Strong communication skills and ability to collaborate across engineering, data science, and product teams.

Nice to Have

• Production experience with vision models.
• Experience architecting and deploying production ML/AI systems at scale
• GCP experience (especially BigQuery).
• Experience with pipeline orchestration frameworks (Airflow, Prefect or Dagster)

• Deploy and maintain critical data pipelines in production.
• Drive strategic technological initiatives and long-term plans from initial exploration and POC to going live in a hectic production environment.
• Design infrastructural data services, and to build scalable data solutions.
• Work in Agile process with Product Managers and other tech teams.
• End-to-end responsibility for the development of data crunching and manipulation processes within the Optimove product.
• Design and implement data pipelines and data marts.
• Create data tools for various teams (e.g., onboarding teams) that assist them in building, testing, and optimizing the delivery of the Optimove product.
• Explore and implement new data technologies to support Optimove’s data infrastructure.

• B.Sc. in Computer Science or equivalent.
• 3+ years of extensive SQL experience (preferably working in a production environment)
• Experience with programming languages (preferably, Python) – a must!
• Experience with "Big Data" environments, tools, and data modeling (preferably in a production environment).
• Strong capability in schema design and data modeling.
• Understanding of micro-services architecture.
• Familiarity with Airflow, ETL tools, Snowflake, and MSSQL.
• Quick, self-learning and good problem-solving capabilities.
• Good communication skills and collaborative.
• Process and detailed oriented.
• Passion to solve complex data problems.

• Experience with GCP services.
• Experience with Docker and Kubernetes.
• Experience with PubSub/Kafka.

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

Who Connecteam is:

Connecteam is the leading platform for managing deskless teams, trusted by over 80,000 businesses worldwide.

We built Connecteam for real operators - the people running shifts, jobs, and teams across stores and sites. The kind of work that doesn’t happen behind a desk, and doesn’t have time for messy spreadsheets, scattered group chats, or tools that don’t talk to each other.

Connecteam brings daily operations and team communication into one intuitive app - from hiring and scheduling to training, tasks, and day-to-day coordination. It gives teams the clarity and control to run the day, shift after shift, job after job.

Backed by $220M+ from Insights Partners, Stripes, and Tiger Global, Connecteam is rapidly expanding worldwide - empowering frontline teams to work smarter, stay connected, and operate with greater efficiency.

About The Role

We are building the next generation of our analytics platform - combining strong data engineering foundations with AI-driven automation to dramatically accelerate analytics development across the company.

We are looking for a Senior Analytics Engineer to help design and build the engineering foundation that powers analytics across the organization.

Our goal is to create a modern data environment where analytics development is fast, reliable, scalable, and increasingly automated. This includes building strong data warehouse foundations, scalable modeling layers, and introducing AI-powered tools and automation that accelerate how data products are built and used.

In this role, you will be part of an analytics squad, working closely with analysts and business stakeholders while building the infrastructure, automation frameworks, and intelligent tooling that enable analytics to scale across the organization.

This is a unique opportunity to help build the next generation of the data organization.

Key Responsibilities

• Lead AI adoption in the analytics platform, building tools and workflows that automate analytics development, dashboards, and data exploration
• Design and build scalable data warehouse models and transformation layers
  
• Build and optimize ETL pipelines and core analytics infrastructure (Bronze / Silver)
• Improve performance, reliability, and scalability of the analytics platform
• Develop automation and internal tools that accelerate analytics workflows
• Enable self-serve data access across the company through semantic layers and reusable datasets
• Collaborate with analysts and business teams within an analytics squad
  
  

Experience & Skills

• 6+ years of experience in Data Engineering and Analytics Engineering roles, building modern data warehouses and analytics platforms using technologies such as BigQuery, dbt, and Python
• Experience with workflow orchestration (Dagster, Airflow, or equivalent) and building reliable, observable data pipelines
• Hands-on experience using AI coding platforms and tools to automate data engineering and analytics workflows
• Strong engineering practices including version control (Git), testing, code reviews, and CI/CD
  
• Experience building automation systems and internal tools for data teams
• Experience working closely with analysts, product teams, and business stakeholders in analytics-driven environments
• Strong problem-solving skills with a builder mindset
  
  

About the role:

Forter is looking for a Senior Big Data Engineer to join our growing ML Platform team. This is a great opportunity for an experienced Data Engineer who wants to apply their skills to the world of Machine Learning. Together, we’ll provide the high-throughput tools and distributed systems needed to process billions of data points, ensuring that our models have the feature-rich, reliable data they need to perform in real-time.

ML is central to Forter’s work. It enables us to process billions of dollars worth of e-commerce transactions and identify fraud rings. Precision at scale is crucial—our models depend on engineered features derived from massive datasets. As the volume of data and the complexity of these models grow, we need senior engineers who can solve the "Big Data" challenges inherent in modern MLOps.

Why should you join us?

You’ll be part of a highly proficient engineering team that is the focal point for all ML engineering activity. This role is perfect for a Big Data specialist who wants to own the data-intensive side of ML—building the pipelines and infrastructure that transform raw global traffic into actionable intelligence.

What you will be doing:

• Designing and building the data-heavy components of our ML infrastructure, allowing Forter’s models to make billions of real-time decisions every year.
• Building distributed data processing pipelines that power model training, feature engineering, and offline research at scale.
• Optimizing the "Feature Store" concept—ensuring that the data used for training matches the data used in production for real-time serving.
• Acting as a technical consultant to data scientists and researchers, helping them navigate massive datasets and providing the Spark-based tooling they need to iterate faster.
• Expanding our ML data infrastructure to be scalable and efficient, focusing on the performance of data ingestion and transformation for diverse model types.
• Improving MLOps standards by ensuring data reproducibility, lineage, and quality across the entire model lifecycle.

Who are you?

• 5+ years of experience with large-scale data processing, with deep expertise in Apache Spark.
• 5+ years developing complex software with at least one general-purpose language (preferably Python or Scala).
• Backend and server-side development experience of complex, highly scalable systems.
• Strong understanding of Data Engineering patterns (Partitioning, Sharding, Schema evolution) and how they apply to model performance.
• Interest in Machine Learning concepts—you don't need to be a researcher, but you should understand how data flows into a model.
• Experience working with public clouds (AWS / GCP / Azure).
• Fluent in written and spoken English.

It’d be really cool if you also:

• Are familiar with Databricks or Airflow for orchestrating complex ML workflows.
• Are comfortable in a containerized environment (Kubernetes/Docker).
• Have experience with low-latency, real-time data serving or streaming (Kafka).

About Kape Technologies

Kape is a cybersecurity company focused on helping everyone have a better digital experience with greater privacy and protection. With over 1000 experienced individuals across ten global locations, including the UK, Israel, Germany, Romania, France, the Philippines, USA, Singapore, Hong Kong, and Cyprus, the Kape team is guided by a single mission: to create a more secure and safe world.

Job Summary

We are seeking a highly skilled and hands-on Senior Data Engineer to architect and maintain modern data infrastructure and pipelines.

This is a technical role focused on building a scalable data platform that powers analytics, insights, and agentic workflows to enable data-driven decision making across the company. You will work closely with analysts, product, and engineering teams to design end-to-end data solutions using tools like AWS Redshift, Athena, Snowflake, and other leading cloud platforms.

Core Responsibilities

• Design and build scalable data pipelines to ingest, process, and store large volumes of structured and unstructured data from diverse sources. 
• Develop and maintain robust data warehouse architectures leveraging tools such as AWS Redshift, Athena, and Snowflake. 
• Optimize data models, queries, and storage strategies for performance, scalability, and cost-effectiveness. 
• Collaborate with cross-functional stakeholders (analytics, product, payments and finance) to gather requirements and deliver data solutions that support business goals. 
• Ensure data quality, security, and privacy through best practices in governance, testing, and monitoring. 
• Own and operate production data workflows, resolving incidents and ensuring reliability. 
• Develop and maintain infrastructure optimized for both analytics and AI workloads, including transformation and semantic layers.
• Design and monitor agentic flows aimed at democratizing data access for users across the company, ensuring reliability, scalability, and accuracy.

Tech Stack

• Languages & Tools: Python, SQL 
• Data Warehousing & Query Engines: Snowflake, AWS Redshift, Athena 
• Pipeline & Orchestration: Apache Airflow, AWS Glue, dbt 
• Cloud & DevOps: AWS (Lambda, S3, IAM), Docker, Terraform 
• Streaming: Kafka, Kinesis 
• BI & Analytics: Tableau, Power BI

Core Requirements

• Bachelor's or Master’s degree in Computer Science, Engineering, or related field
• 5+ years of experience as a Data Engineer, with a strong focus on data pipeline development and data warehousing
• Deep proficiency in Snowflake or AWS Redshift
• Strong programming skills in Python and SQL
• Hands-on experience building LLM-powered applications or workflows in a production environment for analytical use cases, for example ‘ask your data’ interfaces
• Experience with pipeline orchestration tools (Airflow, Glue, dbt)
• Solid understanding of data modeling, schema design, and ETL/ELT processes
• Strong analytical, problem-solving, and communication skills
• Ability to work cross-functionally and mentor others
• Experience in high-growth, product-led, or SaaS environments

Nice to Have

• Familiarity with AWS infrastructure and DevOps practices
• Knowledge of data privacy and security standards (GDPR, SOC2)
• Solid understanding of agent architectures (tool use, planning, memory management), prompt engineering and evaluation

About the role: 

Forter is looking for a Senior Engineer with a data engineering background to join our growing ML Platform team. This is a great opportunity, whether you have experience with ML and are looking for a ML focused product or are an experienced Data Engineer looking to enter the world of ML. Together we’ll provide tools to develop more effective models, get them into production faster, and ensure that they continue to perform well over time.

ML is central to Forter’s work. It enables us to process billions of $ worth e-commerce transactions, make decisions in real time, identify fraud rings, and quickly detect new attack methods. Precision is crucial - bad decisions by our models cost us directly and put money into the pockets of fraudsters.

Our adoption by merchants around the world provides us with billions of fresh data points each day. Our team of data scientists, analysts, and cyber intelligence specialists continually identify new signals, engineer new features, and research new models. But as the volume of data and the number and complexity of models grows, so do the engineering challenges. 

If this kind of working environment sounds exciting to you, if you understand that Engineering is about building the most effective and elegant solution within a given set of constraints - consider applying for this position.

Why should you join us?

You’ll be part of a highly proficient engineering team that is a focal point for all ML engineering activity, striving to constantly bring innovation and leverage ML capabilities across all company teams and products.

This role presents a unique opportunity to enter the ML domain. For those already experienced in ML infrastructure, it offers the chance to grow within a team that specializes in high-scale, Big Data and ML systems.

What you will be doing:

• Designing, building, and maintaining the ML infrastructure that allows Forter’s models to make billions of real-time decisions every year. 
• Building a platform that enables managing a full ML model lifecycle - from researching to training, deploying, and serving predictions in real-time. 
• Building distributed data processing pipelines to support model development.
• Acting as a consultant to researchers, data scientists, and expert analysts and enabling them to research new models faster and with greater precision by providing cutting-edge tooling.
• Expanding our ML infrastructure to make it scalable, quick, and efficient to bring diverse models to production and to monitor their performance and drift over time.
• Expanding the pool of internal customers able to use ML at Forter. Work with them to understand their needs and help them make the most of the infrastructure that we’ll provide.
• Acting as an advocate for MLOps, continually improving our processes, and raising our standards.

Who are you?

• 4+ years experience with large-scale data processing, ideally with Apache Spark.
• 5+ years developing complex software projects with at least one of general-purpose languages (preferably Python, but not a must)
• Backend and server-side development experience of complex, highly scalable systems
• Experienced with machine learning concepts and frameworks.
• Motivation to understand the needs of internal users, provide them with great tooling, and teach them how to use it. 
• Experience working with public clouds (AWS / GCP / Azure)
• Fluent in written and spoken English

It’d be really cool if you also:

• Are familiar with Databricks or Airflow.
• Are comfortable in a containerized environment.
• Have experience with maintaining highly available, low latency, real-time services 

About us:

Digital commerce is built on trust. At every point along the eCommerce journey, businesses must make a critical decision: Can I trust this customer? Answering this simple question accurately and instantly is powerful—it can accelerate revenue growth and strengthen a company’s connection with its customers. How do we do it? Forter was founded on the insight that it's not about what is being purchased, nor where— but who is behind the interaction.

The Forter Decision Engine finds patterns across more than one billion identities in our dataset. We isolate fraudsters and protect customers—ensuring everyone gets the experience they deserve.  Given that trust is central to how we operate, Forter is very much driven by a defined set of values. We attract remarkable talent and have retention and engagement levels that are well above benchmarks. We’re meticulous about strengthening our culture as we grow and ensuring this is an environment where people can have outsized impact. 

Trust is backed by data –  Forter is a recipient of over 10 workplace and innovation awards, including: 

• Great Place to Work Certification (2021, 2022, 2023, 2024, 2025)
• Fortune’s Best Workplaces in NYC (2022, 2023, 2024 and 2025)
• Forbes Cloud 100 (2021, 2022, 2023, 2024 and 2025)
• #3 on Fast Company’s list of “Most Innovative Finance Companies” (2022)
• Anti-Fraud Solution of the Year at the Payments Awards (2024)
• SAP Pinnacle Awards “New Partner Application Award” (2023)
• Fintech Breakthrough Awards – Best Fraud Prevention Platform (2023)

Life as a Forterian:

We are a team of over 600 Forterians spread across 3 different continents. Since 2013, we've raised $525 million from investors such as Tiger Global, Bessemer, Sequoia Capital, March Capital and Salesforce Ventures. We're on a mission to bring trust to global digital commerce so that companies like Adobe, ASOS, eBay, Instacart, Priceline and Nordstrom can block fraud, drive revenue and improve customer experience.

At Forter, we believe unique people create unique ideas, and valuable experience comes in many forms. So, even if your background doesn't match everything we have listed in the job description, we still encourage you to apply and tell us why your skills and values could be an asset to us. By welcoming different perspectives, we grow together as humans and as a company.

Forter is an Equal Employment Opportunity employer that will consider all qualified applicants, regardless of race, color, religion, gender, sexual orientation, marital status, gender identity or expression, national origin, genetics, age, disability status, protected veteran status, or any other characteristic protected by applicable law.

If you need assistance or an accommodation due to a disability, please email us at interviewaccommodation@forter.com. This information will be treated as confidential and used only for the purpose of determining an appropriate accommodation for the interview process.

What is this opportunity?

We are looking for a Senior Backend Developer to join our engineering team. You will focus on developing and maintaining the server-side logic and infrastructure that power our innovative applications.

Who are you?

This is an opportunity to build foundational systems that directly impact how healthcare providers deliver care. Your work will power the platform that thousands of clinicians rely on daily, combining technical challenges with meaningful real-world impact.

How will you contribute?

• Audio Processing Pipeline - Design and scale our audio processing infrastructure to handle high volumes with low latency and maximum reliability
• LLM Integration & Production - Partner with Data Scientists to instrument, deploy, and operationalize Large Language Models in production environments
• Backend Platform - Lead platformization efforts to create abstractions, tooling, and frameworks that elevate backend development across the organization
• Modern Tech Stack - Build with Python, FastAPI, Kafka, and Airflow while helping shape our technical evolution
• Company-Wide Initiatives - Drive high-impact projects that define product capabilities and technical direction

What We're Looking For

• 5+ years of backend engineering experience
• Strong foundation in building and scaling distributed systems and data pipelines
• Experience with event-driven architectures and workflow orchestration (Kafka, Airflow, or similar)
• Modern API development experience (FastAPI, or equivalent frameworks)
• Interest in ML/AI infrastructure and bringing models to production
• Team player who thrives on collaboration and working cross-functionally
• Passion for infrastructure, platform thinking, and operational excellence
• Bonus: Experience with audio processing, LLM deployment, or healthcare technology

This is a unique opportunity to join a startup that has a meaningful impact on the well-being and mental health of thousands. 

We have:

• A product that positively impacts people's lives every single day.
• A team of amazing people with a shared vision and the infinite drive to make it happen
• We offer significant equity.
• Opportunity to build, grow, and become highly instrumental in shaping how technology can increase the effectiveness of therapy
• Hybrid work opportunities.
• On mental health days off, you can take any given moment simply because you need them.

• Design, implement, and maintain scalable and reliable data pipelines and backend systems supporting both operational and analytical needs, with a focus on ML/AI product enablement.
• Ensure data processing is optimized for speed, efficiency, and fault tolerance, enabling seamless integration with AI/ML workflows and reliable performance across all Eleos Health products.
• Monitor and improve uptime, reliability, and observability of our data infrastructure and pipelines.
• Build and maintain systems to ensure data quality, consistency, and usability across the organization, enabling advanced analytics and AI solutions.
• Work closely with product and engineering teams to deliver new features rapidly and with a high standard of technical excellence.
• Drive innovation in how we build, measure, and optimize data features, backend services, and AI product integrations.
• Participate in on-call rotations with a service-oriented approach and fast responsiveness.
• Lead scalability efforts to support increasing data volumes, expanding AI/ML initiatives, and new product launches.

• At least 5 years of experience with Python in backend or data engineering roles, designing and operating large-scale data pipelines, backend services, and data infrastructure in production environments.
• Hands-on experience working on ML/AI-powered products in production, with strong understanding of requirements for integrating data platforms with AI features.
• Familiarity with modern LLM (Large Language Model) and RAG (Retrieval-Augmented Generation) technologies, and experience supporting their deployment or integration.
• Familiar with or have worked with these technologies (or alternatives):
  • Data Processing & Streaming: Apache Spark, DBT, Airflow, Airbyte, Kafka
  • API Development: FastAPI, micro-service architecture, SFTP
  • Data Storage: Data Lakehouse architectures, Apache Iceberg, Vector Databases, RDS
  • ML/AI: ML/LLM libraries and frameworks (such as Gemini, Hugging Face, etc.)
  • Cloud Infrastructure: AWS stack (S3, Firehose, Lambda, Athena, etc.), Kubernetes (K8s)
• Demonstrated ability to optimize performance and ensure high availability, scalability, and reliability of backend/data systems.
• Strong foundation in best practices for data quality, governance, security, and observability.
• Ability to collaborate effectively with engineering, data science, and product teams in a cross-functional setting.
• Track record of innovative thinking on feature-level implementations, metric definitions, and AI/data integrations.
• Service-oriented approach, particularly in high-responsibility, on-call situations.

This is a unique opportunity to join a startup that is having a meaningful impact on the well-being and mental health of thousands. We have

• A product that positively impacts peoples' lives every single day.
• A team of amazing people with a shared vision and the infinite drive to make it happen
• We offer significant equity.
• Opportunity to build, grow and become highly instrumental in shaping how technology can increase the effectiveness of therapy.
• Hybrid work opportunities. 
• Mental health days off you can take any given moment simply because you need them. 

Axonius is seeking a Senior Software Engineer (Data Engineering). You will be responsible for designing and building all data, ML pipelines, data tools, and cloud infrastructure required to transform massive, fragmented data into a format that supports processes and standards. Your work directly empowers business stakeholders to gain comprehensive visibility, automate key processes, and drive strategic impact across the company.

Responsibilities

• Design and Build Data Infrastructure: Design, plan, and build all aspects of the platform's data, ML pipelines, and supporting infrastructure.
• Optimize Cloud Data Lake: Build and optimize an AWS-based Data Lake using cloud architecture best practices for partitioning, metadata management, and security to support enterprise-scale operations.
• Lead Project Delivery: Lead end-to-end data projects from initial infrastructure design through to production monitoring and optimization.
• Solve Integration Challenges: Implement optimal ETL/ELT patterns and query techniques to solve challenging data integration problems sourced from structured and unstructured data.

Minimum Qualifications

• Experience: 5+ years of hands-on experience designing and maintaining big data pipelines in on-premises or hybrid cloud SaaS environments.
• Programming & Databases: Proficiency in one or more programming languages (Python, Scala, Java, or Go) and expertise in both SQL and NoSQL databases.
• Engineering Practice: Proven experience with software engineering best practices, including testing, code reviews, design documentation, and CI/CD.
• AWS Experience: Experience developing data pipelines and maintaining data lakes, specifically on AWS.
• Streaming & Orchestration: Familiarity with Kafka and workflow orchestration tools like Airflow.

Preferred Qualifications

• Containerization & DevOps: Familiarity with Docker, Kubernetes (K8S), and Terraform.
• Modern Data Stack: Familiarity with the following tools is an advantage: Kafka, Databricks, Airflow, Snowflake, MongoDB, Open Table Format (Iceberg/ Delta)
• ML/AI Infrastructure: Experience building and designing ML/AI-driven production infrastructures and pipelines.

#LI-HYBRID #LI-ZR1 

We are looking for a highly enthusiastic Data Engineer to join our group on the journey of leveraging Big Data to revolutionize our offering, business operations and decision making across the company’s ecosystem.

Job Responsibilities:

• Design, build & deploy backend data solutions to prod, starting from research and design to development and testing.
• Work closely with data engineers, product, architects and other R&D teams to deliver the best solutions to the business.
• Monitor the solutions in production to make sure they are fully stable, scalable and performant at all times.
• Work closely with data sciences experts

Profile and Experience:

• At least 3 Years of proven hands on experience with big data solutions and frameworks in production (Spark, Flink) – mandatory
• Proven ability of writing complex SQL queries – mandatory
• Strong analytical and problem-solving skills with attention to details - mandatory
• Production grade experience of writing spark applications using Scala or Java - mandatory
• Experience with Apache Airflow and AWS tools (EMR, Glue, Athena) – a big advantage
• Solid knowledge in Python and Linux operating systems – a big advantage
• Experience with Clickhouse – a big advantage
• Familiarity with the Ad Tech industry and RTB – an advantage
• Extensive experience in Functional programming, Unit testing/TDD, continuous Deployment – an advantage
• Familiarity with NodeJS - an advantage
• Fluent verbal and written English skills required

Axonius is seeking a Senior Data Infra Engineer. You will be responsible for designing and building all data, ML pipelines, data tools, and cloud infrastructure required to transform massive, fragmented data into a format that supports processes and standards. Your work directly empowers business stakeholders to gain comprehensive visibility, automate key processes, and drive strategic impact across the company.

Responsibilities

• Design and Build Data Infrastructure: Design, plan, and build all aspects of the platform's data, ML pipelines, and supporting infrastructure.
• Optimize Cloud Data Lake: Build and optimize an AWS-based Data Lake using cloud architecture best practices for partitioning, metadata management, and security to support enterprise-scale operations.
• Lead Project Delivery: Lead end-to-end data projects from initial infrastructure design through to production monitoring and optimization.
• Solve Integration Challenges: Implement optimal ETL/ELT patterns and query techniques to solve challenging data integration problems sourced from structured and unstructured data.

Minimum Qualifications

• Experience: 5+ years of hands-on experience designing and maintaining big data pipelines in on-premises or hybrid cloud SaaS environments.
• Programming & Databases: Proficiency in one or more programming languages (Python, Scala, Java, or Go) and expertise in both SQL and NoSQL databases.
• Engineering Practice: Proven experience with software engineering best practices, including testing, code reviews, design documentation, and CI/CD.
• AWS Experience: Experience developing data pipelines and maintaining data lakes, specifically on AWS.
• Streaming & Orchestration: Familiarity with Kafka and workflow orchestration tools like Airflow.

Preferred Qualifications

• Containerization & DevOps: Familiarity with Docker, Kubernetes (K8S), and Terraform.
• Modern Data Stack: Familiarity with the following tools is an advantage: Kafka, Databricks, Airflow, Snowflake, MongoDB, Open Table Format (Iceberg/ Delta)
• ML/AI Infrastructure: Experience building and designing ML/AI-driven production infrastructures and pipelines.

#LI-HYBRID #LI-ZR1 

We are seeking a Senior Scientist to join the MyHeritage Science Team, an innovative research team that works with one of the largest DNA datasets in the world. In this critical role, you will build new features and algorithms and improve existing ones, including ethnicity estimation, relationship inference, and prediction of phenotypic traits. This work directly impacts millions of users by providing them with accurate information on their ancestry and family connections.

This unique position offers an exciting blend of academic rigor and industry application, focused on the science behind MyHeritage DNA products. You will apply state-of-the-art science and cutting-edge methods to analyze millions of DNA samples and family trees. Your efforts will help users worldwide discover their heritage and connect with family through science.

What you’ll do

• Work with a huge volume of genetic and genealogical data, which includes the genomes of over 8 million people around the world and billions of genealogical records.
• Develop and expand the company’s DNA analysis toolset, combining bioinformatics, population and statistical genetics, and machine learning, and testing new ideas stemming from both the product perspective and the scientific literature.
• Take ownership of end-to-end development of state-of-the-art DNA products, from conception through research, development and engineering, all the way to mature products released to millions of people worldwide.
• Work closely with engineering, product, and data teams to translate research outcomes into user-facing features and tools.
• Clearly communicate scientific concepts and progress internally and externally.
• Work with bright DNA researchers in a vibrant intellectual environment.

What you bring

• Advanced degree (ideally Ph.D.) in Genetics, Computational Biology, Bioinformatics, or a related quantitative field; and 2+ years of relevant experience in industry or postdoctoral studies.
• Strong background in:
• Population genetics and/or statistical genetics.
• Analysis of genotyping or sequencing data.
• Genomic data pipelines and bioinformatics tools.
• Machine learning or statistical modeling applied to biological data.
• Interrogating and troubleshooting data.
• Strong programming skills in Python/R, using scientific and machine learning toolboxes.
• Hands-on expertise in large-scale parallel computing platforms (cloud computing (AWS), computer clusters, Spark, etc.).
• Proficiency in Python and familiarity with production-scale computational pipelines.
• Familiarity with tools such as Snakemake, Airflow, or other pipeline managers is an advantage.
• Experience with AWS is an advantage.
• Excellent written and verbal communication skills.

About MyHeritage

MyHeritage is the leading global platform for family history. It enriches the lives of people worldwide by enabling them to uncover more about themselves and where they belong. With a suite of intuitive products, billions of historical records, an affordable at-home DNA test, and AI-powered photo tools, MyHeritage creates a meaningful discovery experience that is deeply rewarding. The MyHeritage platform is enjoyed by tens of millions of people around the world who treasure and celebrate their heritage. MyHeritage offers full privacy controls and is available in 42 languages. Learn more at www.myheritage.com. See what it’s like to work at MyHeritage on www.glassdoor.com.

Benefits at MyHeritage

Our employees enjoy a range of benefits to enhance work-life balance and well-being:

• Hybrid work model
• Modern, beautiful offices in Or Yehuda and Tel Aviv with shuttle service from Tel Aviv and employee parking (for our Or Yehuda employees)
• On-site Gym and Pilates classes
• Dog-friendly office
• Well-stocked kitchens and a monthly meal allowance
• Fully funded supplemental health insurance

#LI-Hybrid

Senior Data Engineer

About the Role

Token Security, a leading platform for Non-Human Identity (NHI) management, is seeking an experienced Senior Data Engineer to join our growing team. The ideal candidate will have deep expertise in building large-scale data pipelines, designing high-performance data stores, and enabling analytics on massive security datasets. This role will be key in shaping how we ingest, process, and analyze billions of identity and activity logs to deliver insights to our customers.

Responsibilities

• Collaborate closely with Product, Backend, and Security teams to transform raw data into customer-facing features and insights.
• Design, implement, and maintain scalable ETL/ELT pipelines to process large volumes of log and event data.
• Build and maintain data ingestion frameworks at scale.
• Ensure data quality, availability, and performance.
• Proactively monitor, troubleshoot, and improve data infrastructure to support rapid growth.
• Architect and optimize ClickHouse, PostgreSQL, and other data stores for fast queries and efficient aggregation.

Requirements

• 5+ years of experience in a Data Engineer role, with a track record of building and maintaining scalable backend systems.
• Strong communication skills, collaborative mindset, and a passion for building data-driven products.
• Proven track record with ETL/ELT pipelines and data pipeline frameworks.
• Proficiency in Python and experience working with large-scale backend systems.
• Strong hands-on experience with Data Warehouse (e.g., Redshift, BigQuery, Snowflake).
• In-depth experience of cloud platform services (AWS preferred).
• Bonus: experience with event streaming technologies (Kafka, Kinesis) or data orchestration tools (Airflow, dbt, Dagster).

We are looking for a highly motivated Senior Software and Algorithm Engineer to join our team!

As a Senior Software and Algorithm Engineer you will help us with implementing innovative bioinformatics algorithms and extracting more insights from the data our product generates.

How You’ll Contribute

• Participate in the architecture and software design of bioinformatics solutions
• Implement bioinformatic algorithms in an efficient, reusable and manageable C/C++ code
• Learn in-depth the required algorithms, analyze their complexity and find/invent ways to implement them in the most efficient way possible
• Work on existing and on new pipeline infrastructures, both on-prem and at cloud environments
• Manage performance tuning, integrations, testing and bug fixing

Qualifications, Skills, Knowledge & Abilities

• BS degree in Electrical Engineering, Software Engineering, Computer Science or equivalent
• MS degree or other advanced studies in above fields is a plus
• 5+ years of experience working as a senior software engineer
• 5+ years of experience working with C/C++
• Experience in implementing analytical algorithms in C/C++, similar language or lower-level code.
• Experience with bioinformatics algorithms is a plus
• Familiarity with other programing languages: Python, Java, R, Rust
• Familiarity with public cloud environments (AWS, GCP, Azure), Containers (docker) and Orchestrators (K8S)
• Knowledge of workflow management systems (e.g., Prefect, Airflow, Luigi)
• Familiarity with pipeline languages such as WDL, Nextflow or Snakemake is a plus#L

#LI-Hybrid