דרושים Design Team Lead- Editorx

• Lead, mentor, and manage a multidisciplinary team of game designers, UI artists, and level designers.
• Own the creative vision and gameplay experience across all game projects.
• Translate high-level business goals into innovative, data-driven game design strategies.
• Guide the development of game mechanics, systems, level progression, economy, and player engagement loops.
• Ensure design consistency, high quality, and player-centric thinking throughout development.
• Collaborate cross-functionally with engineering, art, product, and monetization teams.
• Stay ahead of market trends, genres, and competitor analysis to drive innovation.

• 5+ years of experience managing game design teams.
• Strong background in game design, gameplay mechanics, and level design.
• Proven track record of designing and delivering commercially successful games.
• Deep understanding of player psychology, engagement metrics, and game economy.
• Excellent leadership, mentoring, and communication skills.
• Business-oriented mindset with the ability to balance creativity with strategic goals.
• Experience working in multi-disciplinary teams with artists, developers, and product owners.
• Passion for games and a deep knowledge of multiple game genres and platforms.

• 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.

Your expertise will transform our infrastructure and deployment. You'll design scalable cloud architectures to accelerate innovation, champion a world-class DevOps culture to empower developers, and build the foundation for our future growth.

• Strategic Impact: A direct line of sight between your work and key business outcomes, with influence on strategic technical decisions across the entire business unit.

• Technical Leadership: Shape the future of our infrastructure and own the architectural roadmap for our cloud and deployment ecosystem.

• Innovation Playground: Experiment with emerging technologies and implement solutions at scale in a collaborative, forward-thinking environment.

• Technology Breadth: Work across the full DevOps spectrum – from Infrastructure as Code and Kubernetes to DataOps and developer productivity tools.
• Growth Trajectory: A clear path for career advancement as you demonstrate success and grow your leadership scope.

• Lead Technical Strategy: Define the technical vision and roadmap for our DevOps and Production Engineering capabilities, aligning multiple teams around common patterns, tools, and practices.
• Design Cloud-Native Solutions: Architect and implement secure, scalable cloud infrastructure using Kubernetes, IaC, and other modern frameworks to power our growing technology ecosystem.
• Accelerate Developer Experience: Spearhead improvements to our CI/CD pipelines, developer portals, and internal platforms to empower engineering teams to ship higher-quality software, faster.
• Optimize Data Infrastructure: Engineer and support robust platforms for our data-intensive workloads, ensuring the performance, reliability, and cost-effectiveness of systems leveraging technologies like Kafka.
• Drive DevOps Transformation: Mentor team members, lead the Production Engineering & DevOps Infra function, and collaborate with fellow R&D leaders to champion modern practices across the organization.

• Cloud Platform Expertise: Deep hands-on experience with AWS/Azure/GCP services, Kubernetes cluster management, and implementing secure, scalable cloud infrastructure architectures.
• Infrastructure as Code Mastery: Proven ability to design and implement infrastructure automation using tools like Terraform, CloudFormation, or Pulumi at enterprise scale.
• CI/CD & GitOps Expertise: Demonstrated success building and optimizing continuous integration and delivery pipelines using modern tools (e.g., GitHub Actions, Jenkins, ArgoCD).
• Data Infrastructure Knowledge: Experience designing and implementing infrastructure for data-intensive workloads, including data processing pipelines (Kafka), storage solutions, and observability systems.
• Database Expertise: Deep knowledge of relational databases (e.g., MySQL, SingleStore, PostgreSQL), including performance tuning and scalability best practices.

• Experience with big data processing applications using Spark.
• Knowledge of Machine Learning platforms such as Ray or Seldon Core.
• Proficiency in a scripting language like Python or Go for automation.
• Familiarity with DevSecOps practices and automated security tooling.
• Experience with cloud cost management and FinOps principles.

• 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.