Software Engineering Specialist jobs in Israel

In this role, you will be responsible for:

• Development of large-scale generative AI framework software development

• Preparing data for machine learning models at scale.

• Building inference interfaces for ML model consumption.

• Enabling ML Ops for continuous delivery and automation of ML pipelines.

• Developing solutions that can evolve into sustainable AI productization platforms.

• Leading the creation of machine learning workflows and infrastructure necessary to build AI models and demonstrate solution feasibility.

*BSc/MSc/PhD student in Computer Science, Electrical Engineering, or similar field. MSc/PhD candidates are highly preferred.

* Ability to work at least 20 hours a week (one day from Petach Tikva offices), with studies expected to continue for at least 1.5 years.

* Practical programming experience in Python and ideally also C# is required.

*Experience with popular generative AI (e.g., AWS (Claude) or Azure (Open AI) Cognitive AI) services is highly desired.

* Solid understanding of machine learning techniques and applications.

* Proficiency in developing large-scale models using widely utilized AI frameworks (e.g., PyTorch, TensorFlow).

As a , you will own the end-to-end billing cycle and revenue operations, ensuring accuracy and efficiency across large-scale data. You’ll collaborate closely with CX, Legal, Finance, R&D, and Product teams to streamline processes and support decision-making. The role is highly systems-oriented, working mainly with to optimize billing, automation, and reporting.

• Manage the end-to-end billing cycle, including invoice generation in NS, distribution, and reconciliation within NetSuite and Zuora .
• Investigate and resolve billing discrepancies and customer inquiries in a timely and professional manner.
• Collaborate with CX, legal and bookkeeping teams to ensure billing accuracy and compliance.
• Conduct month-end and year-end close activities related to billing and revenue recognition.
• Serve as a key user and administrator for our billing and financial systems, primarily NetSuite and Zuora .
• Maintain data integrity and accuracy across all relevant systems, with a focus on managing and validating large datasets .
• Identify and implement system enhancements and automations to improve efficiency and reduce manual effort for high-volume transactions.
• Develop and maintain documentation for billing processes and system procedures.
• Collaborate with R&D, IT and other departments on system upgrades, integrations, and new system implementations.
• Demonstrate strong systems awareness , understanding the interconnectedness of various platforms and data flows.
• Conduct comprehensive data analysis of billing trends, revenue metrics, and customer accounts, specifically with the ability to handle and interpret big volume of data.
• Generate regular and ad-hoc reports to support financial forecasting, operational insights, and strategic decision-making.
• Identify opportunities for process improvement and cost reduction through data-driven insights.
• Present findings and recommendations to stakeholders in a clear and concise manner.
• Actively research and explore emerging AI tools and technologies that could enhance billing efficiency, fraud detection, revenue assurance, or data analysis capabilities, particularly for large-scale data operations .
• Propose and, where appropriate, pilot new AI-driven solutions to optimize existing processes.

• 3-5 years of experience in a finance operations, or information systems role, preferably within a fast-paced environment.
• Demonstrated experience working with and managing large volumes of customer or transactional data
• Proven hands-on experience with NetSuite is essential.
• Strong practical experience with Zuora (or similar subscription billing platforms) - An Advantage.
• Excellent ability to perform robust data analysis using AI/BI tools
• Strong systems awareness and understanding of how different business systems integrate and impact financial operations.
• Excellent analytical and problem-solving skills with a keen eye for detail.
• Ability to work independently and collaboratively in a team environment.
• Excellent communication (written and verbal) and interpersonal skills.
• Proactive, curious, and eager to learn new technologies and processes.
• Experience with or a strong interest in exploring AI tools and their application in business processes.
• Experience with SQL or other querying languages- Optional
• Bachelor's degree in Finance, Accounting, Business Administration, Information Systems, or a related field.

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.