ML Engineering Team Lead

6 ימים

ML Engineering Team Lead

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

Were hiring a Machine Learning Engineering Manager to guide and grow a high-impact ML team driving AI-powered innovation across B2B SaaS platform. Youll lead the design and delivery of AI solutions while mentoring engineers and setting the technical direction for AI-first development at scale.
This is a leadership role with a balance of hands-on engineering and team management, perfect for someone who thrives on solving technical challenges, inspiring a team, and shaping the future of AI in fintech automation.
What You Will Do:
Lead & Mentor: Manage, mentor, and grow a team of ML engineers, fostering technical excellence and career development.
Set Technical Direction: Define the ML strategy, ensuring best practices in architecture, frameworks, and operationalization.
Build and deploy AI-based solutions: Oversee the development and deployment of GenAI/LLM-powered solutions that address real-world challenges across products.
Scale & Operationalize: Establish scalable ML infrastructure, CI/CD, observability, and data pipelines for high-availability production systems.
Collaborate Cross-Functionally: Partner with product managers, engineers, and business stakeholders, clearly communicate progress, challenges, and outcomes.

Requirements:
7+ years of experience as a Backend Developer / Data Engineer / ML Engineer
3+ years in a technical leadership role.
Python (Java as an advantage)
Bachelors degree in Computer Science or related STEM field (Masters preferred).
Proven track record of building and deploying AI-based solutions at scale.
Deep expertise with LLMs and ML frameworks (e.g., LangChain, LangGraph, Hugging Face, TensorFlow, PyTorch).
Strong background in system design, cloud-native architecture, and microservices.
Experience with NoSQL and real-time data processing pipelines.
Exceptional leadership, mentorship, and communication skills.
Strategic mindset with the ability to balance hands-on coding and team leadership.

This position is open to all candidates.

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6 ימים

Machine Learning Engineer

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

Were hiring a ML Engineer to accelerate AI-driven innovation across Stamplis B2B SaaS platform.
Youll be at the forefront of building intelligent systems that power core product experiences and automate internal operations, driving efficiency, speed, and scale across the organization. This is a high-impact, hands-on role in a fast-growing, AI-first company where machine learning is a foundational pillar, not a bolt-on feature. You'll partner with product, engineering, and operations teams to design and implement powerful ML and LLM-based solutions that make a measurable difference.
What You Will Do:
Build Intelligent Systems: Design and develop ML/LLM-powered solutions that solve real-world challenges across Stamplis product and internal workflows.
Own Full Lifecycles: Take projects from concept all the way to production, including model training, evaluation, integration, and monitoring.
Leverage State-of-the-Art Tools: Work with leading frameworks like LangChain, Hugging Face, TensorFlow, and PyTorch to deliver cutting-edge functionality.
Collaborate Cross-Functionally: Partner with product managers, engineers, and stakeholders to embed AI capabilities into user-facing features and backend services.
Ship at Scale: Build and maintain scalable APIs and services, integrating best practices in CI/CD, observability, and cloud infrastructure.
Report with Impact: Share progress, challenges, and results clearly with technical and executive stakeholders.

Requirements:
6+ years of experience as a Backend Developer, Data Engineer, or ML Engineer
Bachelors degree in Computer Science or a related STEM field
Strong proficiency in Python and ML tooling
Proven ability to build production-grade ML systems end-to-end
Deep experience with LLMs and ML frameworks (e.g., LangChain, LangGraph, Hugging Face, TensorFlow, PyTorch)
Solid foundation in system design, architecture, and microservice patterns
Excellent problem-solving skills and ownership mindset
Strong collaboration and communication abilities
Bonus if you have:
M.Sc. in Computer Science, Software Engineering, or similar field
Experience building and scaling LLM-powered applications
Familiarity with AWS and DevOps best practices (CI/CD, monitoring, IaC)
Exposure to NoSQL and real-time data processing pipelines

This position is open to all candidates.

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05/01/2026

Principal Architect

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

The Principal Architect will be a strategic force shaping the next generation of our AI-powered security platform. Sitting at the intersection of product vision, advanced engineering, and emerging technology, this leader will set the architectural direction for the company and ensure our platform can scale to meet the most complex global security challenges. Reporting to the President, Product and Technology, youll tackle the toughest technical problems, drive clarity in high-stakes decisions, and influence the long-term trajectory of our business.

This is an opportunity to operate with executive-level visibility and impact: defining the blueprint for a platform trusted by enterprises worldwide, embedding AI and machine learning into production systems at massive scale, and raising the technical bar across a global engineering organization. Your work will not only determine how we build today but will also shape the competitive edge of our technology for years to come.

What Will You Do?
Strategic Architectural Leadership

Define the Future Architecture: Serve as the final authority and strategic driver for the company's platform architecture, ensuring it aligns with our long-term vision, supports massive scale, and accelerates the delivery of our AI, data, and security product roadmap
Platform & AI Integration: Lead the architectural design and evolution of our core platform components, focusing on seamless integration, high-performance data pipelines, and the operationalization of cutting-edge AI/ML capabilities into our threat detection and response engine
Executive Technical Steering: Provide decisive technical guidance to R&D, Product Management, and Executive Leadership on critical build-vs-buy decisions, technology investments, and architectural trade-offs that have significant business impact
Customer and Partner Leadership: Lead architecture and design discussions with key customers and partners, maximizing the reach and potential of our platform
Technical Problem Solving & Governance

Systemic Risk Reduction: Identify and architect solutions for the most pressing systemic security, performance, and scaling issues across our production environments (multi-cloud/hybrid); this includes evolving our cloud security posture, data governance model, and continuous delivery pipelines
Architecture Governance: Institute and champion a flexible, yet disciplined, set of architectural principles, standards, and patterns to ensure engineering velocity without compromising security, reliability, or cost-efficiency
Technology Scouting: Maintain expert-level awareness of emerging technologies, particularly in Generative AI, large-scale data processing, serverless/container orchestration (e.g., Kubernetes), and cloud-native security, evaluating their potential to provide a competitive advantage
Influence & Mentorship

Engineering Elevation: Act as a hands-on mentor and technical thought leader, raising the architectural competence of senior engineers and architects across the organization
Cross-Functional Alignment: Drive architectural consensus and adoption across globally distributed teams within the Product and Technology teams (R&D, DevOps, Cloud Ops, Security, and Product) and with Go-to-Market teams (Partners, Systems Engineering) often bridging technical silos and resolving complex organizational dependencies

דרישות:
12+ years in technical leadership roles, with 4+ years as a Principal Architect, Distinguished Engineer, or equivalent role in a global-scale SaaS or cybersecurity company
Deep expertise as a lead architect defining and evolving infrastructure, middleware, security, data, AI, and services architectures
Expertise in designing and operating large-scale, multi-region cloud security platforms (AWS required; exposure to GCP/Azure preferred)
Hands-on experience deploying AI/ML in production, including operationalizing models, LLM architectures, vector databases, and high-performance data pipelines המשרה מיועדת לנשים ולגברים כאחד.

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8488029

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7 ימים

Machine Learning Engineer II - GenAI Applications

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

Required Machine Learning Engineer II - GenAI Applications
26947
About the team:
This opening is for the GenAI Applications Team within the Data & AI Marketplace department.
The GenAI Applications team is responsible for designing and delivering agentic, ML-powered solutions for some of our most impactful products, including booking search experiences, trip planning, and trip helpfulness. The team builds AI-driven applications and conversational agents, such as chatbots and intelligent assistants, that significantly enhance the end-to-end customer experience.
Role Description:
As a Machine Learning Engineer, you will work closely with experienced engineers and ML scientists to build scalable, production-grade GenAI applications. Your work will focus on designing, training, and deploying ML systems leveraging LLMs,, recommendation systems, and agent-based architectures, using state-of-the-art technologies. These solutions will directly power customer-facing experiences and play a key role in shaping the future of AI-driven travel products.
Key Job Responsibilities and Duties:
Deploying machine learning models: Design, develop and deploy in collaboration with scientists, scalable machine learning models and algorithms that provide content related insights and generative AI applications, ensuring scalability, efficiency, and accuracy.
Evaluating possible architecture solutions by taking into account cost, business requirements, emerging technologies, and technology requirements, like latency, throughput, and scale.
Generative AI Development: Contribute to the development of generative models such as GPT (Generative Pre-trained Transformer) variants or similar architectures for creative content generation, Q&A, chatbots, translation or other innovative applications.
Deployment and integration: Work closely with software engineers to integrate machine learning models into production systems. Ensure seamless deployment and efficient model inference in real-time environments. Collaborate with DevOps to implement effective monitoring and maintenance strategies.
Owning a service end to end by actively monitoring application health and performance, setting and monitoring relevant metrics and acting accordingly when violated.
Maintain clean, scalable code, ensuring reproducibility and easy integration of models into production environments, including CI/CD.
Collaborate with multidisciplinary teams: Collaborate with product managers, data scientists, and analysts to understand business requirements and translate them into machine learning solutions.

Requirements:
We are looking for driven MLEs who enjoy solving problems, who initiate solutions and discussions and who believe that any challenge can be scaled with the right mindset and tools.
We have found that people who match the following requirements are the ones who fit us best:
Bachelors or masters degree in computer science, Engineering, Statistics, or a related field.
Minimum of 4 years of experience as a Machine Learning Engineer or a similar role, with a consistent record of successfully delivering ML solutions.
Strong programming skills in languages such as Python and Java.
Experience with cloud frameworks like AWS sagemaker for training, evaluation and serving models using TensorFlow, PyTorch, or scikit-learn.
Experience with big data processing frameworks such, Pyspark, Apache Flink, Snowflake or similar frameworks.
Experience with data at scale using MySQL, Pyspark, Snowflake and similar frameworks.
Demonstrable experience with MySQL, Cassandra, DynamoDB or similar relational/NoSQL database systems.
Deep understanding of machine learning algorithms, statistical models, and data structures.
Experience in deploying large-scale language models like GPT, BERT, or similar architectures - an advantage.
Proficiency in data manipulation, analysis, and visualization using tools like NumPy, pandas, and matplotlib - an advantage.

This position is open to all candidates.

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15/12/2025

NLP Team Lead

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

Description
For many of us theres that one podcast we never miss, and video content is part of our daily routine, whether its professional or personal. But how many of us truly understand the effort that goes on behind the scenes? Here at our company, we know it well. Thats exactly why we built an AI-powered platform that helps content creators, podcasters, marketeers, and more at major brands like Netflix, Disney, Google, and Microsoft to create high-quality content with ease.
our companys technology streamlines the entire content creation process, turning ideas into professional-grade content with the highest production standards, without requiring expensive equipment or external services. The secret? AI-driven tools that replace traditional production roles like editing, directing, and design, automating the entire process at the click of a button.
About the Innovation Team
At our company, the Innovation team is all about pushing the limits of AI to transform content creation. We work on everything from enhancing audio and video quality to automating production with machine learning, NLP, and computer vision. Whether its real-time rendering, intelligent editing, or new ways to process media, we turn cutting-edge research into practical tools that creators rely on. If youre excited about shaping the future of media tech, youll fit right in.
On your day to day
Were looking for a seasoned and driven Team Lead to head our NLP & Speech team. In this role, youll lead a high-performing team of researchers and engineers developing state-of-the-art capabilities in real-time transcription, semantic understanding, content generation, and AI-powered editing tools. Leveraging our unique access to vast multimodal datasets and large-scale compute, your team will drive ambitious applied research projects from concept to deployment - powering intelligent, intuitive experiences for millions of content creators.
As a hands-on team lead, youll shape the technical roadmap for NLP and Speech at our company, identifying key opportunities to invest in foundational technologies and grow the team through strategic hiring and mentorship. Youll work cross-functionally with product, engineering, and design partners to ensure that advanced research translates into robust, scalable features that define the future of AI-assisted content creation.

Requirements:
What Will Make You Stand Out?
M.Sc. or Ph.D. in Computer Science, Mathematics, Engineering or a related technical field.
5+ years of experience in NLP, machine learning or deep learning.
2+ years of experience managing ML/AI or software engineering teams
Excellent understanding of Deep Learning and modern NLP fundamentals, including Transformers, LLMs, RAG and Agents.
Hands-on experience with deep Learning frameworks (Pytorch, Tensorflow or JAX) and other relevant libraries (HuggingFace, vLLM, etc.).
Experience with LLM fine-tuning and deployment at scale on distributed GPU clusters.
Familiarity with STT / ASR models and common audio / speech processing methods.
Strong software engineering skills in Python.
Leadership
Proven ability to lead high-impact teams in a fast-paced applied research environment.
Experience defining and executing ambitious technical roadmaps and contributing to strategic technical decisions.
Passion for mentorship, team-building, and fostering a culture of innovation.
Strong cross-functional collaboration skills and the ability to work closely with PMs, engineers, and other stakeholders.

This position is open to all candidates.

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01/01/2026

Staff Data Engineer, Group Tech Lead

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

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 our companys data ecosystem.
The groups mission is to build a state-of-the-art Data Platform that drives our company 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 our company 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.

Requirements:
8+ years of experience in data-related roles such as Data Engineer, Data Infrastructure Engineer, BI Engineer, or Machine Learning Platform Engineer, with significant experience in at least two of these areas
A B.Sc. in Computer Science or a related technical field (or equivalent experience)
Extensive expertise in designing and implementing Data Lakes and Data Warehouses, including strong skills in data modeling and building scalable storage solutions
Proven experience in building large-scale data infrastructures, including both batch processing and streaming pipelines
A deep understanding of Machine Learning infrastructure, including tools and frameworks that enable Data Scientists to efficiently develop, deploy, and maintain models in production, an advantage
Proficiency in Python, Pulumi/Terraform, Apache Spark, AWS, Kubernetes (K8s), and Kafka for building scalable, reliable, and high-performing data solutions
Strong knowledge of databases, including SQL (schema design, query optimization) and NoSQL, with a solid understanding of their use cases
Ability to work in an office environment a minimum of 3 days a week
Enthusiasm about learning and adapting to the exciting world of AI - a commitment to exploring this field is a fundamental part of our culture.

This position is open to all candidates.

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4 ימים

ML Engineering Team Lead - Applied AI Engineering Group

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

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 mission - this role is for you. :
: 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.

Requirements:
6+ years software engineering experience with 4+ years applied ML.
Prior experience as a technical lead or engineering manager.
Deep understanding of ML training, evaluation, and deployment lifecycles.
Strong experience with ML frameworks and large-scale data pipelines.
Proven ownership of ML evals, monitoring, and drift detection in production.
Experience with distributed training and performance optimization.
Strong experience with feature stores, model registries, and experiment tracking.
Experience deploying and operating ML systems on Kubernetes or similar platforms.
Strong Python background and system architecture expertise.
Experience managing cross-functional ML initiatives and stakeholders.

This position is open to all candidates.

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18/12/2025

Director of Algorithms

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

We are seeking a visionary Director of Algorithm to join our leadership team and report to the VP of R&D. This is a high-impact strategic role for a leader who combines deep expertise in machine learning and advanced AI with a proven track record of turning innovation into measurable business results.

As Director of AI, you will lead and expand a group of algorithm engineers embedded in Product pods, play a pivotal role in roadmap planning, and balance cutting-edge research with practical productization. You will drive cross-organizational initiatives that elevate our products and operations, defend our competitive moat, and unlock new opportunities for growth and innovation.

Key Responsibilities

Team & Talent Leadership

Manage, mentor, and inspire a team of algorithm engineers, fostering technical excellence and career growth.
Scale the AI team through hiring, skill development, and cultivating a strong data science culture.
Promote cross-functional collaboration, execution, knowledge sharing, and experimentation.
Attract senior AI talent to build strong teams.
AI Roadmap & Innovation

Execute the AI roadmap, aligned with the company strategy and product vision.
Introduce state-of-the-art techniques to solve complex challenges.
Drive initiatives that push the boundaries of whats possible, turning AI into a measurable business differentiator.
Technical Leadership

Personally led the resolution of the most complex AI/ML challenges.
Architect and guide the implementation of production-ready ML systems, ensuring robustness, accuracy, and low latency.
Maintain a strong applied research perspective while delivering practical, business-impacting solutions.

Defending & Expanding Our Moat

Keep us ahead of industry shifts by monitoring emerging technologies and evaluating competitive threats.
Build defensible AI assets - unique data pipelines, proprietary models, domain-specific enhancements - that are hard to replicate.
Shape intellectual property (publications, patents, methodologies) that strengthens our positioning.

Requirements:
10+ years of professional experience in AI/ML and data science with at least 5 years in leadership roles.
Advanced degree (MSc/PhD) in Computer Science, Mathematics, or related field.
Proven success leading data science / AI teams in production environments.
Strong grounding in ML/DL, model architectures, and data pipelines.
Track record of translating research into scalable production systems with measurable business impact.
Practical trade-off mindset - build vs. buy, open-source vs. proprietary, etc.
Excellent communication skills - capable of influencing executives, mentoring engineers, and educating non-technical stakeholders.
Passion for continuous learning, innovation, and knowledge sharing.

This position is open to all candidates.

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04/01/2026

Team Lead Engineer (Python)

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

We are looking for an experienced Engineering Team Leader to drive and oversee the development of our infrastructure platform.
You'll lead a team focused on building Python-based microservices, infrastructure automation, and cloud-native solutions.
This role combines technical leadership with hands-on development, emphasizing strong Linux expertise and distributed systems knowledge.
The Infrastructure group focuses on developing scalable microservices architectures and automation systems that power our platform. As the team leader, you'll guide the development of Python-based services while ensuring robust infrastructure practices.

Requirements:
BSc in Computer Science or related field, or equivalent practical experience
6+ years of software engineering experience, including 2+ years in a technical leadership role
Strong expertise in Python microservices development
Advanced Linux system administration and development skills
Extensive experience with Kubernetes and container orchestration
Proven experience with infrastructure automation and cloud platforms
Strong understanding of Azure services and cloud architecture
Experience with modern DevOps practices and CI/CD implementation
Ability to mentor engineers and drive technical decisions
Deep understanding of Linux internals and system optimization
Advantages
Experience with workflow engines and their implementation
Background in infrastructure as code (IaC) and automation
Experience with high-scale distributed systems
Track record of successful cross-team collaboration
Experience with Agile methodologies and team management
Strong security background in Linux environments
Experience with service mesh and microservices patterns
Background in performance optimization and troubleshooting
This leadership role will be instrumental in:
Leading the technical vision and architecture of our Python microservices platform
Managing and mentoring a team of engineers focused on infrastructure development
Ensuring robust and scalable Kubernetes-based solutions
Driving technical decisions and ensuring best practices in development
Building highly available and performant distributed systems.

This position is open to all candidates.

עדכון קורות החיים לפני שליחה

8485560

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שליחה

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7 ימים

Senior Machine Learning Engineer I - GenAI Applications

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

Required Senior Machine Learning Engineer I - GenAI Applications
20031
Leadership/Team Quote:
This opening is for the GenAI Infra team in the Marketplace AI department.
The GenAI Infra team builds the Agents platform which is used for all agnetic and non-agentic flows. This team is responsible for both the GenAI agents and the orchestration around them, helping support applications such as the AI Trip Planner, Free text search, etc.
Role Description:
As Senior Machine Learning Engineer, youll work with top notch engineers and data scientists from the team on bringing it to the next level and enabling optimal user experience. The work will focus on building, deploying and serving GenAI capabilities (Agents, Tools and the orchestration between them) using the most advanced technologies and models.
Key Job Responsibilities and Duties:
Deploying machine learning models: Design, develop and deploy in collaboration with scientists, scalable machine learning models and algorithms that provide content related insights and generative AI applications, ensuring scalability, efficiency, and accuracy.
Evaluating possible architecture solutions by taking into account cost, business requirements, emerging technologies, and technology requirements, like latency, throughput, and scale.
Generative AI Development: Contribute to the development of generative models such as GPT (Generative Pre-trained Transformer) variants or similar architectures for creative content generation, Q&A, translation or other innovative applications.
Deployment and integration: Work closely with software engineers to integrate machine learning models into production systems. Ensure seamless deployment and efficient model inference in real-time environments. Collaborate with DevOps to implement effective monitoring and maintenance strategies.
Owning a service end to end by actively monitoring application health and performance, setting and monitoring relevant metrics and acting accordingly when violated.
Maintain clean, scalable code, ensuring reproducibility and easy integration of models into production environments, including CI/CD.
Collaborate with multidisciplinary teams: Collaborate with product managers, data scientists, and analysts to understand business requirements and translate them into machine learning solutions.

Requirements:
Bachelors or masters degree in computer science, Engineering, Statistics, or a related field.
Minimum of 6 years of experience as a Machine Learning Engineer or a similar role, with a consistent record of successfully delivering ML solutions.
Strong programming skills in languages such as Python and Java.
Experience with cloud frameworks like AWS sagemaker for training, evaluation and serving models using TensorFlow, PyTorch, or scikit-learn.
Experience with LLMs, Agents and MCP in production environments.
Experience with big data processing frameworks such, Pyspark, Apache Flink, Snowflake or similar frameworks.
Experience with data at scale using MySQL, Pyspark, Snowflake and similar frameworks.
Demonstrable experience with MySQL, Cassandra, DynamoDB or similar relational/NoSQL database systems.
Deep understanding of machine learning algorithms, statistical models, and data structures.
Experience in deploying large-scale language models like GPT, BERT, or similar architectures - an advantage.
Proficiency in data manipulation, analysis, and visualization using tools like NumPy, pandas, and matplotlib - an advantage.
Experience with experimental design, A/B testing, and evaluation metrics for ML models - an advantage.
Experience of working on products that impact a large customer base - an advantage.
Excellent communication in English; written and spoken.

This position is open to all candidates.

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8498346

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04/01/2026

Engineering Team Lead

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

As a Team Lead , youll tackle complex business logic, drive improvements in engineering processes, and guide your team through architectural and technical challenges. Youll build alignment, trust, and motivation across your team and R&D, shaping how we deliver software, collaborate as an organization, and provide an exceptional experience for travelers. This role is for someone seeking real impact, ownership, and the chance to lead talented engineers through meaningful technical and product challenges.

Responsibilities
Lead, mentor, and manage a multidisciplinary team of backend, frontend, mobile developers, and QA engineers.
Oversee the design, development, testing, and deployment of high-quality software solutions that align with business goals.
Collaborate with product managers, designers, and other stakeholders to define technical requirements, set priorities, and establish project timelines.
Ensure adherence to best practices in software development, including code reviews, testing, and continuous integration and delivery (CI/CD).
Facilitate effective communication and collaboration within the team and across other departments.
Identify and address technical challenges, providing guidance and support to team members.
Monitor and improve team performance, productivity, and overall efficiency.
Stay updated with industry trends and emerging technologies, advocating for their adoption when appropriate.
Foster a positive and inclusive team culture that encourages innovation, learning, and personal growth.

Requirements:
Bachelors degree in Computer Science, Engineering, or related field (or equivalent work experience).
Proven experience of at least 4 years in leading software development teams.
Strong technical background and professional experience in backend development, experience in Node.js and TypeScript is an advantage.
Solid understanding of software architecture, design patterns, and development methodologies.
Excellent leadership, communication, and interpersonal skills.
Ability to manage multiple projects and priorities in a fast-paced startup environment.
Strong problem-solving skills and a proactive approach to identifying and resolving technical issues.
Experience with cloud platforms, preferably AWS, and familiarity with DevOps practices is an advantage.

This position is open to all candidates.

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8485078

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