Senior Backend Developer jobs in Israel

We’re looking for a Senior BI Developer who’s excited about turning data into real impact.

In this role, you’ll be the force behind data-driven decision-making across the company, building scalable pipelines, smart data models, and BI solutions that power millions of users. You’ll partner with Product, R&D, and Marketing to uncover insights, shape strategies, and keep us moving fast, and always two steps ahead.

If you love solving complex data challenges, thrive in an , open-minded environment, and want to see your work make a visible difference, you’ll feel right at home here.

Be a Strategic Data Partner

• Partner with Product, Marketing, and R&D leaders to understand challenges and propose solutions
• Present insights confidently to all levels-analysts to executives
• Translate business problems into technical solutions, understanding the "why" behind requests
• Proactively identify data opportunities before being asked

Build BI Solutions

• Design data marts (dbt + Databricks) and Tableau dashboards that teams rely on daily
• Own full lifecycle: requirements → delivery → presentation
• Ensure solutions are fast, reliable, and trusted

Elevate Team Standards

• Set quality bar through excellent code, documentation, and communication
• Mentor developers on SQL, data modeling, and dashboard design
• Drive data governance and QA processes

Solve Technical Challenges

• Turn high-volume, messy data into a reliable analytics infrastructure
• Optimize performance and scalability
• Lead technical initiatives (migrations, architecture improvements)

Technical Foundation (Must-Haves)

• 4+ years as a BI Developer in SaaS/eCommerce
• SQL mastery and strong data modeling skills
• Hands-on with: dbt, Databricks, Tableau, Git
• Data warehouse architecture and quality frameworks

Stakeholder Partnership:

• Excellent communicator who explains technical concepts clearly
• Service mindset-view stakeholders as partners
• Confident in presenting to leadership

Business Orientation:

• Understand the "why" behind data requests
• Connect data work to business outcomesממ
• Learn the domain and speak stakeholder language

Work Style:

• Proactive problem-solver who creates clarity from ambiguity
• Independent, quality-focused, innovative thinker
• Growth mindset and collaborative team player

Lead and manage the company’s entire bookkeeping and accounting operations, including:

• Bank reconciliations and cash management
• Accounts Payable (AP): vendor management, invoice processing, and payments
• Accounts Receivable (AR): revenue recording and reconciliation from Zuora
• Credit card and cash reconciliations

Lead and mentor team of 2-3 bookkeepers:

• Collaborate with senior finance team members to ensure high-quality execution and continuous improvement.
• Ensure accuracy and completeness of all accounting records and reconciliations.
• Own the cash reconciliation process, ensuring collections are accurately matched to invoices in a B2C environment.
• VAT reporting and compliance
• Handle payments to statutory institutions, such as social security, tax authorities, and pension funds
• Drive process improvements and support automation in NetSuite and Zuora.
• Lead ongoing improvements in accounting systems and workflows, ensuring scalability as the company grows.
• Lead the implementation and optimization of automation tools in NetSuite and other systems to enhance bookkeeping processes.
• Work closely with the Controllers on monthly, quarterly, and year-end closing activities.

• 10–15 years of accounting and bookkeeping experience , preferably in the high-tech / B2C industry.
• Proven leadership and team management experience – including direct management of multiple bookkeepers and coordination with global/offshore teams.
• Strong command of NetSuite (a must)
• Deep understanding of AP, AR, cash flow management and reconciliations.
• High attention to detail, organizational skills, and accountability.
• Positive, can-do attitude with a proactive and solution-oriented mindset.
• Excellent communication and interpersonal skills in a dynamic, fast-paced environment.
• Fluent in English (written and spoken).

• Continuously improve our infrastructure to be more secure, scalable, and robust
• Apply new technologies for internal and external services
• Design, build, and maintain CI/CD pipelines and IaC for our infrastructure
• Architecture planning for cloud-based solutions
• Performance optimization to our workloads and GKE clusters
• Control and develop the monitoring and observability solutions

• At least 5 years of experience as a DevOps.
• At least 3 years of hands-on experience with Kubernetes.
• Knowledge and experience with cloud vendors such as GCP/AWS - Must
• Hands-on experience in production environments - Must
• DB management - MySQL, MongoDB, Redis - Must
• Experience with CI/CD tools such as Github Actions, Jenkins, or GitLab - Must
• Experience with Terraform or other provisioning tools - Advantage
• Development of Kubernetes Operators - Advantage
• High Documentation skills - Advantage
• Experience with operation of 24/7 Highly available production systems - Advantage

• 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.

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.