דרושים » תוכנה » Database Systems Team Lead - Applied AI Engineering Group

It starts with you - an engineer driven to operate database systems at the highest level of reliability and performance. You care about query latency, uptime, data durability, and getting paged as little as possible. Youll operate, tune, and scale the database engines that serve the platform - from PostgreSQL to Elasticsearch, Redis to vector databases, across cloud and on-prem environments.
If you want to run the databases that power mission-critical AI at national scale, join our companys mission - this role is for you.
The Responsibilities
Operate and maintain database systems - PostgreSQL, Elasticsearch, Redis, MongoDB, vector databases, and others across cloud and on-prem.
Own database reliability - high availability configurations, replication, failover automation, and SLA adherence.
Drive performance tuning - query optimization, index design, configuration tuning, and resource profiling to meet latency and throughput targets.
Execute operational procedures - backup/recovery, disaster recovery testing, upgrades, migrations, and capacity scaling.
Lead incident response for database issues - troubleshooting production problems, root cause analysis, and implementing preventive measures.
Build monitoring and alerting - dashboards, metrics collection, slow query analysis, and proactive capacity alerts.
Enable new capabilities - deploying and tuning vector databases for AI workloads, evaluating new database technologies.
Collaborate with Data Platform, Data Engineering, Engineering, and Security teams on database operations and best practices.
Uphold database SLAs that support retrieval paths, feature stores, and embedding durability; coordinate safe schema evolution, partitioning, and replay/backfill practices.
Expose catalog and lineage signals - ownership, change history, and impact analysis - to improve trust and safe consumption for downstream users.
Collaborate with Data Platform, Data Engineering, Engineering, Security, Product, AI/ML, Data Science, and Analytics to balance performance, durability, and evolution across workloads.

Were looking for an experienced and passionate Staff Data Engineer to join our Data Platform group in TLV as a Tech Lead. As the Groups Tech Lead, youll shape and implement the technical vision and architecture while staying hands-on across three specialized teams: Data Engineering Infra, Machine Learning Platform, and Data Warehouse Engineering, forming the backbone of data ecosystem.
The groups mission is to build a state-of-the-art Data Platform that drives toward becoming the most precise and efficient insurance company on the planet. By embracing Data Mesh principles, we create tools that empower teams to own their data while leveraging a robust, self-serve data infrastructure. This approach enables Data Scientists, Analysts, Backend Engineers, and other stakeholders to seamlessly access, analyze, and innovate with reliable, well-modeled, and queryable data, at scale.
In this role youll :
Technically lead the group by shaping the architecture, guiding design decisions, and ensuring the technical excellence of the Data Platforms three teams
Design and implement data solutions that address both applicative needs and data analysis requirements, creating scalable and efficient access to actionable insights
Drive initiatives in Data Engineering Infra, including building robust ingestion layers, managing streaming ETLs, and guaranteeing data quality, compliance, and platform performance
Develop and maintain the Data Warehouse, integrating data from various sources for optimized querying, analysis, and persistence, supporting informed decision-makingLeverage data modeling and transformations to structure, cleanse, and integrate data, enabling efficient retrieval and strategic insights
Build and enhance the Machine Learning Platform, delivering infrastructure and tools that streamline the work of Data Scientists, enabling them to focus on developing models while benefiting from automation for production deployment, maintenance, and improvements. Support cutting-edge use cases like feature stores, real-time models, point-in-time (PIT) data retrieval, and telematics-based solutions
Collaborate closely with other Staff Engineers across to align on cross-organizational initiatives and technical strategies
Work seamlessly with Data Engineers, Data Scientists, Analysts, Backend Engineers, and Product Managers to deliver impactful solutions
Share knowledge, mentor team members, and champion engineering standards and technical excellence across the organization

Were seeking an experienced and skilled Data and AI Infra Tech Lead to join our Data Infrastructure team and drive the companys data capabilities at scale.
As the company is fast growing, the mission of the data and AI infrastructure team is to ensure the company can manage data at scale efficiently and seamlessly through robust and reliable data infrastructure.
As a tech lead, you are required to independently lead the design, development, and optimization of our data infrastructure, collaborating closely with software engineers, data scientists, data engineers, and other key stakeholders. You are expected to own critical initiatives, influence architectural decisions, and mentor engineers to foster a high-performing team.
You will:
Lead the design and development of scalable, reliable, and secure data storage, processing, and access systems.
Define and drive best practices for CI/CD processes, ensuring seamless deployment and automation of data services.
Oversee and optimize our machine learning platform for training, releasing, serving, and monitoring models in production.
Own and develop the company-wide LLM infrastructure, enabling teams to efficiently build and deploy projects leveraging LLM capabilities.
Own the company's feature store, ensuring high-quality, reusable, and consistent features for ML and analytics use cases.
Architect and implement real-time event processing and data enrichment solutions, empowering teams with high-quality, real-time insights.
Partner with cross-functional teams to integrate data and machine learning models into products and services.
Ensure that our data systems are compliant with the data governance requirements of our customers and industry best practices.
Mentor and guide engineers, fostering a culture of innovation, knowledge sharing, and continuous improvement.

Required Software Engineering Team Lead
Were looking for driven and talented people like you to join our Sales team and our mission to change the future of cloud security. Ready to dive in and swim with our pod?
Highlights:
High-growth: Over the past six years, weve consistently achieved milestones that take other companies a decade or more. During this time, weve significantly grown our employee base, expanded our customer reach, and rapidly advanced our product capabilities.
Disruptive innovation: Our founders saw that traditional security didnt work for the cloud so they set out to carve a new path. Were relentless pioneers who invented agentless technology and continue to be the most comprehensive and innovative cloud security company.
Well-capitalized: With a valuation of $1.8 billion, we are a cybersecurity unicorn dominating the cloud security space. Were backed by an impressive team of investors such as Capital G, ICONIQ, GGV, and SVCI, a syndicate of CISOs who invest their own money after conducting their due diligence.
Respectful and transparent culture: Our executives pride themselves on being accessible to everyone and believe in sharing knowledge with the employees. Each employee has a place in shaping the future of our industry.
About the Role:
As a Team Lead on the Data Platform, youll guide one of our most strategic engineering groups - the team building and evolving the core data ingestion and processing infrastructure that powers our entire platform. Handling billions of cloud signals daily, the team ensures scalability, reliability, and efficiency across our architecture.
Youll lead a group of talented senior engineers, providing both technical and people leadership while staying hands-on in design and implementation. Together, youll drive key architectural decisions and evolve our ingestion and processing layers to support real-time pipelines, improve observability, and enable greater horizontal scalability.
Were looking for an experienced Team Leader eager to make a foundational impact on our next-generation cloud security data platform.
Our Stack: Python, Go, SingleStore, Postgres, Redis, Kafka, AWS.
What Youll Do:
Lead, mentor, and develop a team of senior software engineers through one-on-ones, feedback, and technical guidance
Own and drive the delivery of high-impact projects end-to-end, from design through deployment and production monitoring
Design and review architecture for large-scale distributed systems focused on data ingestion, normalization, and availability
Collaborate cross-functionally with Product, SRE, and other R&D teams to define priorities, interfaces, and success metrics
Ensure the reliability, scalability, and observability of core services, introducing SLOs and best practices for operations
Participate in incident management, postmortems, and continuous improvement initiatives
Foster a culture of technical excellence and accountability within the team
Write and review clean, maintainable, and tested, take part of the on-call rotation.

Were looking for a hands-on Engineering Team Lead to join our AI Group.
This role combines people leadership, senior-level backend development, and infrastructure-oriented thinking, and plays a key part in building and scaling AI-powered capabilities across Bobs product.
As a Team Lead in the AI group, you will lead a team of backend engineers while remaining actively involved in designing and implementing robust, scalable systems that support AI features used by thousands of customers.
If youre passionate about leading people, shaping technical direction, and staying hands-on in complex backend and infrastructure challenges - this role is for you.
Why Join the AI Group?
Lead a team at the core of Bobs AI strategy and execution.
Influence both product-facing AI features and the underlying technical foundations.
Work in a highly collaborative environment with strong Product, Infra, and Data partners.
Make a real impact at scale while growing as a technical and people leader.
Job responsibilities
What Youll Do
Technical Leadership & Hands-on Development
Lead the design, development, and operation of backend services and infrastructure that power AI-driven features.
Take ownership of end-to-end delivery - from discovery and architecture through implementation, testing, deployment, and monitoring.
Address scalability, performance, and reliability challenges in production systems handling real-time AI interactions.
Work closely with Infrastructure, Data, DevOps, Product, and Design teams to ensure seamless integration of AI solutions into the broader platform.
Drive high engineering standards through code reviews, architecture discussions, testing practices, and automation.
Team Leadership & Growth
Lead, mentor, and grow a team of backend engineers within the AI group.
Own hiring, onboarding, coaching, and professional development of team members.
Foster a culture of ownership, collaboration, learning, and technical excellence.
Support engineers in growing their scope and taking end-to-end responsibility.
AI Platform & Developer Experience
Contribute to and evolve shared AI infrastructure, internal services, SDKs, and tooling.
Improve developer experience by enhancing observability, CI/CD flows, configuration, and internal frameworks.
Collaborate with Architects and DevOps to align AI infrastructure with long-term platform strategy.

Were looking for an experienced Platform Team Lead to drive the evolution of our Data Platform, the backbone that powers analytics, automation, and scalability across our rapidly growing fintech ecosystem.
Youll lead a talented team of up to five developers, guide architectural decisions, and help shape the technical direction as we move from a monolithic setup toward a modern, service-oriented platform
Our technology teams are the driving force of our business.
Our tech teams maintain a dynamic, start-up atmosphere that fosters innovation and critical thinking. you'll collaborate with a diverse, global team of engineers, developers, architects, customer success, and product manager leaders, collectively shaping the future of our premier product suite and transforming financial planning and analysis for the future.
What You'll Do:
Lead and mentor a team of data platform engineers, fostering collaboration, ownership, and technical excellence.
Drive the evolution of our platform - from monolithic components to scalable, service-based architecture.
Design, build, and maintain data pipelines and ETL processes that enable reliable and high-quality data flows across the company.
Collaborate closely with Product, Architecture, and DevOps teams to design and deliver reliable, high-performance systems.
Oversee the development of new features and platform capabilities - ensuring code quality, maintainability, and on-time delivery.
Guide the migration from Celery-based workflows to Temporal, improving reliability and orchestration of data flows.
Take part in shaping best practices around CI/CD, monitoring, and cloud-native development (Kubernetes).
Encourage innovation and continuous improvement within the team.

we are looking for a seasoned and hands-on Unity Tech Lead to drive technical excellence across our mobile gaming organization. This is a highly strategic role at the intersection of game development, data & analytics, live-ops, tooling, and ML-driven systems.You will act as a technical authority and multiplier-setting direction, raising engineering standards, and enabling teams to build scalable, high-quality, and high-performing games using Unity as the core platform.
Play a key role in shaping a growing gaming division, with real influence on strategy, culture, and player experience.
Work at the intersection of game development, data, ML, graphics, and tooling, solving complex, high-impact problems.
Collaborate with top-tier talent across engineering, design, analytics, and operations in a fast-moving, supportive environment.
What you'll be doing
Lead and influence technical decisions across multiple engineering teams and studios, spanning game development, internal tools, live-ops, and operational systems.
Partner closely with engineering managers and developers to execute the technical vision and roadmap for games portfolio, ensuring high-quality visuals, performant code, and engaging player experiences on mobile.
Oversee client analytics and configuration infrastructure: build and maintain reliable, scalable systems that feed game design, live-ops, user-engagement, monetization, and business decisions.
Work with machine learning and data science teams to design and operationalize models for player behavior prediction, personalization, content generation, and monetization optimization.
Champion internal tooling and operational excellence-from CI/CD pipelines and build systems to live-ops dashboards, monitoring/observability, and developer productivity tools.
Collaborate deeply with product, design, art, engineering, operations, marketing, and business teams to align on goals, metrics, and delivery.
Mentor senior and mid-level engineers, contribute to hiring and growth programs, and help build a strong, scalable engineering culture with high standards.
Define and track KPIs across game performance, live-ops health, retention and monetization, platform stability, tooling adoption, and team productivity.
Stay on top of trends in Unity, real-time 3D/graphics, mobile performance, ML/AI in games, and data-driven live-ops-and translate them into actionable strategy.

We are looking for a Full-Stack Team Lead to join our growing R&D team.

We are looking for an experienced Full-Stack Team Lead to join our growing R&D team.

In this role, you will play a key part in designing, building, and maintaining high-scale, production-ready systems for one of CHEQs innovative products. This is a hands-on technical and management role where you will drive significant features from concept to deployment, working across the entire stack-from the database and backend services to the modern React frontend. You will also mentor mid-level and junior engineers and contribute to core architectural decisions.

This is an exciting opportunity to work in a fast-paced, global environment, with advanced technologies and impactful challenges.

What Youll Do

Lead the technical design and team and implementation of new features across the full stack (backend services and frontend web applications. (Mostly nodejs and react).
Collaborate with Product Managers and Designers to define product specifications and translate them into high-quality technical solutions.
Review code, mentor team members, and promote best practices in testing, performance, and security.
Participate in the on-call rotation and support production issue investigations and validations.

It starts with you - ML Engineering Team Lead responsible for leading a team delivering end-to-end ML systems. This role combines people management with ownership of model training, evaluation, deployment, and ML platform standards
If you want to grow your skills building AI products for mission-critical AI, join our companys mission - this role is for you.
The Responsibilities
Lead and mentor ML Engineers delivering production ML systems.
Own technical direction for model architectures, training pipelines, and evals.
Review designs and code; ensure scalability, reliability, and data quality.
Define standards for experimentation, reproducibility, and monitoring.
Partner with product and platform teams on roadmap and prioritization.
Balance hands-on technical contribution with people management.
Build a culture of measurement, rigor, and continuous improvement.

Required AI Engineering Team Lead
Tel Aviv-Yafo, Gush Dan, Israel
We offer the industrys only platform that fuses customer identity and anti-fraud solutions - customer identity management, identity verification, and fraud prevention.
We sell to industries with large, consumer-facing businesses such as: banking, financial services, insurance, fintech, gaming, ecommerce/retail, telco / media, utilities, etc.
About the Role:
As the AI Team Lead, you will guide a team of highly skilled machine learning engineers in developing and deploying advanced AI/ML solutions that power our identity and security products. Youll combine technical depth with leadership skills to drive innovation, ensure delivery of high-impact projects, and scale our data-driven capabilities across the organization.
This role requires both strategic thinking and hands-on expertise. Youll be responsible for shaping the data science roadmap, mentoring a growing team, and collaborating with product, engineering, and business stakeholders to translate business challenges into practical machine learning solutions.
What youll do:
Leadership & Team Management:
Lead, mentor, and grow a team of machine learning engineers and data scientists.
Foster a culture of technical excellence, collaboration, and continuous learning.
Define team goals, measure progress, and ensure high-quality deliverables.
Strategy & Roadmap:
Own the data science strategy and align it with company objectives.
Identify opportunities for applying machine learning and generative AI across products and internal systems.
Evaluate emerging technologies, tools, and methodologies to keep the team ahead of the curve.
Hands-On Technical Work:
Design, prototype, and implement ML models, including LLM-powered copilots, retrieval systems, and fraud detection pipelines.
Guide the deployment of models into production environments with scalability and reliability in mind.
Ensure best practices for experimentation, evaluation, and monitoring.
Cross-Functional Collaboration
Work closely with engineering to integrate ML components into production systems.
Partner with product managers to align solutions with customer needs and business priorities.
Collaborate with security and compliance teams to ensure ethical and secure use of data.