Staff Software Engineer Levelplay jobs at Unity in Israel, Tel-aviv

• Develop and execute AI strategies aligned with business objectives
• Advise leadership on AI capabilities and potential applications
• Guide teams in adopting AI tools and methodologies
• Ensure ethical and efficient implementation of AI technologies
• Design and oversee AI-driven process improvements
• Collaborate with various departments to identify AI opportunities
• Stay current with the latest AI trends and advancements
• Conduct AI-related training and workshops for staff
• Manage AI projects from conception to implementation
• Evaluate and recommend AI tools and platforms
• Leading a team of AI engineers

• Deep understanding of AI technologies, including large language models
• Expertise in prompt engineering and AI-powered automation
• Proficiency with AI tools such as ChatGPT, Claude, Midjourney, and Copilot
• Knowledge of AI ethics and regulatory considerations
• Strong problem-solving and analytical skills
• Proficiency with Python or TypeScript for building AI workflows and data pipelines
• Excellent communication and leadership abilities
• Ability to translate complex AI concepts for non-technical audiences
• Experience in project management and cross-functional collaboration

• Advanced degree in Computer Science, AI, or related field
• Previous experience in AI implementation within an organizational setting
• Certifications in relevant AI technologies or platforms
• Familiarity with no-code AI application development
• Bachelor's degree in Computer Science, AI, or related field

• 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.

• Collaborate closely with software engineers, product managers, business intelligence, and UI/UX designer teams to define and execute test plans and cases.
• Participate in the development lifecycle, from requirements analysis to post-deployment verification.
• Conduct regression, functional, performance, and usability testing.
• Perform exploratory testing to ensure a seamless user experience across multiple devices and platforms.
• Stay updated with the latest QA methodologies, tools, and best practices.

• 3+ years of experience in Quality Assurance, with mobile applications, preferably with Android apps.
• Experience with testing frameworks and tools such as TestRail, Qase, Charles Proxy, and others.
• Strong understanding of QA methodologies, processes, and best practices.
• Hands-on experience with bug tracking tools (e.g., Jira) and version control systems (e.g., GitHub).
• Experience with log analysis for debugging and monitoring purposes.
• Excellent analytical and problem-solving skills, with high attention to detail.
• Proficiency in SQL for database validation.
• Strong communication and collaboration skills.

• Experience with performance testing.
• Experience with CI/CD pipelines and tools such as Jenkins.
• Understanding of mobile testing tools and frameworks like Maestro.

• 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.

• Own and lead the end-to-end development of new features, from initial PRD to final execution and delivery.
• Design, build, and maintain high-scale microservices.
• Collaborate effectively with product teams and other engineering teams to make sound technical decisions.
• Take full ownership of projects, leading them independently or guiding other team members.

• 8+ years of hands-on experience with NodeJS and TypeScript.
• Proven experience in leading large, complex projects from start to finish.
• Strong technical knowledge to make informed architectural and design decisions.
• Excellent communication skills to collaborate with product managers and other teams.
• Experience with high-scale systems and microservices.
• Experience with relational databases.
• Proficiency with cloud providers (AWS or GCP).
• Experience with container orchestration using Kubernetes (k8s).
• Experience with streaming technologies like Kafka.

• Former experience with a modern UI framework such as React, Vue, or Angular, with React being an advantage.
• Experience with analytics data and columnar db architectures.

• 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.

In this role, you will leverage your expertise in distributed systems, data engineering, and software development to design, build, and deploy high-performance solutions. You will take a leading role in developing and maintaining a cutting-edge online machine learning system powered by PyTorch/Tensorflow models and Triton inference server.

• Architect and Build: Design, develop, and deploy robust, scalable, and high-performance distributed systems that form the backbone of ironSource's next-generation ML ad network.
• Real-Time Ad Serving: Engineer and optimize critical systems for real-time ad serving, enabling machine learning models to make intelligent, low-latency decisions for optimal ad selection.
• ML Infrastructure Innovation: Drive the evolution of our ML capabilities by researching, evaluating, and implementing cutting-edge techniques for feature stores, data aggregation, and model serving infrastructure.
• Data Pipeline Engineering: Collaborate closely with data scientists and product managers to design, build, and maintain efficient and reliable data lakes and data pipelines, ensuring high-quality data for ML training and analytics.
• Operational Excellence: Take ownership of key system components, ensuring their reliability, performance, and scalability in a production environment through proactive monitoring and continuous improvement.

• 5+ years of backend development experience with strong skills and a genuine passion for server-side technologies.
• Proven experience building and maintaining large-scale, low-latency, distributed systems.
• Solid understanding of service lifecycle management and efficient resource utilization.
• Hands-on experience with machine learning integration in production systems.
• Proficiency in backend programming languages such as Java and Scala
• Familiarity with cloud platforms (AWS, GCP, or Azure) and container orchestration (Docker, Kubernetes).
• Strong problem-solving skills, ownership mindset, and ability to thrive in high-impact environments.

• Experience with ML frameworks such as TensorFlow, PyTorch.
• Experience with inference servers such as Triton, TensorFlow Serving.

• 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.

• Designing, building, and maintaining our automation infrastructure for our suite of products, ensuring they meet the highest standards of quality and functionality.
• Coaching and mentoring team members on best practices for automation, fostering an environment of learning and continuous improvement.
• Interact, lead technical discussions with other team members, and collaborate to solve complex issues.

• Strong automation testing experience, using Javascript for frontend and backend.
• Hands-on experience in automation Infrastructure development.
• Experience with source control systems, preferably Git/GitHub.
• Strong knowledge of software QA and testing methodologies (Component/Integration/Contract/Unit/etc.)
• Experience working on SaaS Products using cloud infra (AWS/Azure).
• Experience in writing automation tests for RESTful APIs and microservices, and knowledge of API testing tools such as Postman or similar.
• Experience in developing and executing automated tests using automation tools such as Playwright/Cucumber (Playwright preferred).
• Ability to work on multiple projects under tight deadlines, Self-learner, and independent executor.
• BSc in Computer Science or equivalent.

• Experience with usage/developing CI/CD infrastructure for running different types of automation tests (experience with tools such as Docker, GitHub Actions, or Jenkins).
• General knowledge of databases (MySQL, Redis, PostgreSQL).
• Experience in writing automation tests for SW in Linux environments.
• Experience with OOO language (Java/C#).

• 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.