Experienced Big Data Software Developer jobs in Israel

You’ll tackle complex engineering challenges and drive the design of systems built for massive scale, reliability, and performance. As a hands-on technical leader, you’ll influence architecture and implementation decisions that define the future of LevelPlay’s infrastructure.

• Lead the design and development of large-scale, low-latency, high-throughput systems that power real-time ad bidding and delivery.
• Define and drive technical strategy and long-term architecture for LevelPlay’s core infrastructure.
• Collaborate cross-functionally with product, data, and ad network integration teams to deliver impactful solutions that scale globally.
• Mentor and guide engineers, fostering a culture of technical excellence, ownership, and continuous improvement.
• Investigate and resolve complex system challenges, optimizing performance, reliability, and cost efficiency.

• 8+ years of experience in software engineering, with significant experience in distributed systems, real-time systems, or high-scale backend infrastructure ,i.e, message queue technologies (e.g., Kafka, Kinesis, SQS), and key-value databases (e.g., Aerospike, Redis).
• Proven track record of technical leadership — setting architectural direction, mentoring engineers, and leading projects end-to-end.
• Strong proficiency in Java, Scala, Go, or similar languages, and experience working in JVM-based production environments.
• Deep understanding of system design, concurrency, performance tuning, and data pipelines.
• Experience with cloud infrastructure (AWS, GCP, or similar) and modern DevOps practices.
• Excellent communication and collaboration skills; ability to influence technical and product decisions across teams.

• Understanding of distributed stream processing and having experience with Flink, Spark Streaming, etc
• Background in observability, distributed tracing, and performance analytics.
• Previous ad-tech experience

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

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.

• Technical Leadership & Architecture: Drive data infrastructure strategy and establish standardized patterns for AI/ML workloads, with direct influence on architectural decisions across data and engineering teams
• DataOps Excellence: Create seamless developer experience through self-service capabilities while significantly improving data engineer productivity and pipeline reliability metrics
• Cross-Functional Innovation: Lead collaboration between DevOps, Data Engineering, and ML Operations teams to unify our approach to infrastructure as code and orchestration platforms
• Technology Breadth & Growth: Work across the full DataOps spectrum from pipeline orchestration to AI/ML infrastructure, with clear advancement opportunities as a senior infrastructure engineer
• Strategic Business Impact: Build scalable analytics capabilities that provide direct line of sight between your infrastructure work and business outcomes through reliable, cutting-edge data solutions

• Design Data-Native Cloud Solutions - Design and implement scalable data infrastructure across multiple environments using Kubernetes, orchestration platforms, and IaC to power our AI, ML, and analytics ecosystem
• Define DataOps Technical Strategy - Shape the technical vision and roadmap for our data infrastructure capabilities, aligning DevOps, Data Engineering, and ML teams around common patterns and practices
• Accelerate Data Engineer Experience - Spearhead improvements to data pipeline deployment, monitoring tools, and self-service capabilities that empower data teams to deliver insights faster with higher reliability
• Engineer Robust Data Platforms - Build and optimize infrastructure that supports diverse data workloads from real-time streaming to batch processing, ensuring performance and cost-effectiveness for critical analytics systems
• Drive DataOps Excellence - Collaborate with engineering leaders across data teams, champion modern infrastructure practices, and mentor team members to elevate how we build, deploy, and operate data systems at scale

• 3+ years of hands-on DevOps experience building, shipping, and operating production systems.
• Coding proficiency in at least one language (e.g., Python or TypeScript); able to build production-grade automation and tools.
• Cloud platforms: deep experience with AWS, GCP, or Azure (core services, networking, IAM).
• Kubernetes: strong end-to-end understanding of Kubernetes as a system (routing/networking, scaling, security, observability, upgrades), with proven experience integrating data-centric components (e.g., Kafka, RDS, BigQuery, Aerospike).
• Infrastructure as Code: design and implement infrastructure automation using tools such as Terraform, Pulumi, or CloudFormation (modular code, reusable patterns, pipeline integration).
• GitOps & CI/CD: practical experience implementing pipelines and advanced delivery using tools such as Argo CD / Argo Rollouts, GitHub Actions, or similar.
• Observability: metrics, logs, and traces; actionable alerting and SLOs using tools such as Prometheus, Grafana, ELK/EFK, OpenTelemetry, or similar.

• Data Pipeline Orchestration - Demonstrated success building and optimizing data pipeline deployment using modern tools (Airflow, Prefect, Kubernetes operators) and implementing GitOps practices for data workloads
• Data Engineer Experience Focus - Track record of creating and improving self-service platforms, deployment tools, and monitoring solutions that measurably enhance data engineering team productivity
• Data Infrastructure Deep Knowledge - Extensive experience designing infrastructure for data-intensive workloads including streaming platforms (Kafka, Kinesis), data processing frameworks (Spark, Flink), storage solutions, and comprehensive observability systems

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

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.

What you'll be doing:

• Invent, design, implement, and refine our system’s core decisioning logic and models in a live production environment.
• Conduct in-depth research into complex fraud patterns, adversarial networks, and emerging global threats.
• Leverage rich datasets to derive actionable insights, develop new system components, and advance our feature engineering processes.
• Develop, prototype, and automate new tools and processes to enhance the precision and scale of our systems.
• Collaborate with a world-class team of Data Scientists, Analysts, Researchers, and Engineers to develop the next generation of Forter’s AI technology.

What you'll need:

• Relevant experience (one of the below)
  • At least 2 years of hands-on experience in quantitative research/data science, or a related role involving production-oriented data analytics and hypothesis-led research.
  • MSc or PhD in a quantitative field (e.g., Physics, Economics, Neuroscience, Biotechnology, Computer Science, etc.).
• Strong analytical and logical reasoning skills with a proven ability to dissect and solve highly complex problems.
• Extensive experience working with large datasets using scripting languages (e.g., Python, R, or Matlab).
• Excellent communication skills – ability to articulate complex technical concepts and research findings to diverse audiences.

• Experience with SQL and big data technologies (e.g., Spark).
• Deep familiarity with machine learning concepts and practice
• Risk / Intelligence experience

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