Full Stack Developer (platform) jobs in Israel

• 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.

Why You'll Love This Role:

• Take ownership of major projects and core features with significant business impact.
• Work alongside skilled engineers in a fast-paced, high-scale environment.
• Tackle challenging technical problems using cutting-edge tools like Kafka and Aerospike.

• Design, develop, and monitor new features for the platform, including components supporting targeting, attribution, and budget management.
• Maintain and optimize the performance of critical backend systems.
• Refactor and improve legacy code to ensure scalability and efficiency.
• Lead efforts to guarantee system reliability and low latency in a high-concurrency environment.
• Collaborate with peers and across teams to deliver high-quality, production-ready solutions.

• Proficiency in backend development with Scala (highly preferred) or Java.
• Strong understanding of distributed systems and real-time, high-concurrency applications.
• Experience with Kafka and other streaming/messaging systems.
• Extensive experience debugging and optimizing high-scale production environments.
• Proven ability to design and build backend systems focused on performance and scalability.

• Hands-on experience with Aerospike or other NoSQL databases.
• Familiarity with Kubernetes or container orchestration tools.
• Knowledge of functional programming paradigms.
• If you're looking for a role where you can contribute meaningfully, tackle exciting challenges, and work with a friendly, professional team that values collaboration and expertise, we’d love to hear from you!

• 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.

Unify online/offline for features: Drive Flink adoption and patterns that keep features consistent and low-latency for experimentation and production.

Make self-serve real: Build golden paths, templates, and guardrails so product/analytics/DS engineers can move fast safely.

Run multi-tenant compute efficiently: EMR on EKS powered by Karpenter on Spot instances; right-size Trino/Spark/Druid for performance and cost.

Cross-cloud interoperability: BigQuery + BigLake/Iceberg interop where it makes sense (analytics, experimentation, partnership).

• Leading a senior Data Platform team: setting clear objectives, unblocking execution, and raising the engineering bar.
• Owning SLOs, on-call, incident response, and postmortems for core data services.
• Designing and operating EMR on EKS capacity profiles, autoscaling policies, and multi-tenant isolation.
• Tuning Trino (memory/spill, CBO, catalogs), Spark/Structured Streaming jobs, and Druid ingestion/compaction for sub-second analytics.
• Extending Flink patterns for the feature platform (state backends, checkpointing, watermarks, backfills).
• Driving FinOps work: CUR-based attribution, S3 Inventory-driven retention/compaction, Reservations/Savings Plans strategy, OpenCost visibility.
• Partnering with product engineering, analytics, and data science & ML engineers on roadmap, schema evolution, and data product SLAs.
• Leveling up observability (Prometheus/VictoriaMetrics/Grafana), data quality checks, and platform self-service tooling.

• 2+ years leading engineers (team lead or manager) building/operating large-scale data platforms; 5+ years total in Data Infrastructure/DataOps roles.
• Proven ownership of cloud-native data platforms on AWS: S3, EMR (preferably EMR on EKS), IAM, Glue/Data Catalog, Athena.
• Production experience with Apache Iceberg (schema evolution, compaction, retention, metadata ops) and columnar formats (Parquet/Avro).
• Hands-on depth in at least two of: Trino/Presto, Apache Spark/Structured Streaming, Apache Druid, Apache Flink.
• Strong conceptual understanding of Kubernetes (EKS), including autoscaling, isolation, quotas, and observability
• Strong SQL skills and extensive experience with performance tuning, with solid proficiency in Python/Java.
• Solid understanding of Kafka concepts, hands-on experience is a plus
• Experience running on-call for data platforms and driving measurable SLO-based improvements.

• Experience building feature platforms (feature definitions, materialization, serving, and online/offline consistency).
• Airflow (or similar) at scale; Argo experience is a plus.
• Familiarity with BigQuery (and ideally BigLake/Iceberg interop) and operational DBs like Aurora MySQL.
• Experience with Clickhouse / Snowflake / Databricks / Starrocks.
• FinOps background (cost attribution/showback, Spot strategies).
• Data quality, lineage, and cataloging practices in large orgs.
• IaC (Terraform/CloudFormation)

• 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 guide a group of talented professionals, foster a culture of creativity and technical excellence, and play a pivotal role in driving groundbreaking solutions that shape the future of our platform.

Wake up for this

• Join Artlist’s Frontend Development team — the group behind our user-facing products that power a global creative ecosystem used by millions.
• Lead a high-profile team working on one of Artlist’s most strategic and visible products.
• Build high-performance, visually engaging, and intuitive web experiences using modern technologies and scalable design systems.
• Drive the evolution of Artlist’s next-gen Gen-AI suite — including tools for voice cloning, text-to-image, image-to-image, text-to-video, and image-to-video generation.
• Collaborate closely with product, design, marketing, and backend teams to deliver impactful, creator-focused features.
• Provide leadership, mentorship, and technical direction to engineers.
• Influence architectural decisions, maintain code quality, and ensure scalability.
• Foster a culture of speed, quality, and innovation.
• Continuously improve team velocity, delivery predictability, and engineering excellence.

• 2+ years managing R&D team leads, coordinating cross-team deliveries and roadmaps.
• 7+ years of hands-on software development experience, with strong frontend expertise in React, Angular, or similar frameworks.
• Proven experience building and maintaining complex, high-scale web applications, collaborating closely with backend teams on system design and architecture.
• Analytical and data-driven mindset, leveraging metrics and insights to guide technical and product decisions.
• Deep understanding of Agile/Scrum or Kanban methodologies, with a focus on iteration, delivery predictability, and measurable outcomes.
• Exceptional communication and mentorship skills — able to present technical strategy to executives, inspire engineers, and grow future leaders.Artlist is where the creative arts meet technology.