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09/07/2026
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20/08/2026
חברה חסויה
Location: Ramat Gan
Job Type: Full Time and Hybrid work
We are looking for an experienced Data Infrastructure Team Lead to lead our Data Infrastructure team. In this role, you will have formal people-management responsibility for a multidisciplinary team that builds, productionizes, and improves big data and analytics infrastructure. You will be responsible for team delivery, combining technical depth, agile leadership, and an AI-first mindset to help the team build reliable systems, improve how it works, and continuously raise its engineering standards.

Location: Ramat Gan (Bursa area), Israel - Hybrid model

What will you do?

Lead, manage, and develop a data infrastructure team of approximately 5-7 people.
Take responsibility for team delivery, including planning, prioritization, execution, and continuous improvement.
Lead agile ways of working, including scrum-based delivery practices.
Guide the design, productionization, and ongoing improvement of big data and analytics infrastructure.
Partner closely with cross-functional stakeholders across technical, scientific, and business interfaces.
Help the team adopt AI-first engineering practices, including automation and AI-assisted development workflows.
Drive improvements in team processes, technical quality, delivery predictability, and collaboration.
Support architectural and technical decisions across cloud infrastructure, data pipelines, orchestration, and production systems.
Create an environment where team members can grow, contribute, and improve together.
Requirements:
Required qualifications:
5+ years of experience leading data engineering, data infrastructure, or related engineering teams, of 5+ people - a must.
Strong technical background in data infrastructure, cloud computing, and production systems - a must.
Hands-on experience with data warehousing tools such as Snowflake or BigQuery, and data pipeline orchestration tools such as Dagster or Apache Airflow - a must.
Experience developing in Python.
Experience productionizing big data, analytics, or data platform infrastructure
Experience leading agile teams and working with scrum methodologies
Demonstrated ability to lead multidisciplinary teams and collaborate effectively across interfaces.
Track record of helping teams improve how they work, including process improvement, automation, technical quality, or delivery practices.
Strategic mindset with the ability to connect technical decisions to team and business goals.
Strong English communication skills, written and spoken, for working with an international and multilingual team.

Preferred qualifications:
Experience working in a scientific domain.
Experience in biotech, immunology, life sciences, or another biology-adjacent domain.
Experience with agentic AI concepts, tools, or development patterns.
Experience helping software or data engineering teams transition toward AI-first development processes.
Familiarity with modern automation practices across engineering workflows, infrastructure, and delivery pipelines.

Desired personal traits:
AI-first and automation-oriented mindset.
Strong people's leadership instincts and a genuine drive to help others improve.
Collaborative, clear, and thoughtful communication style.
High ownership, good energy, and comfort operating across disciplines.
Curious, pragmatic, and able to balance strategy with hands-on technical judgment.
This position is open to all candidates.
 
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20/08/2026
Location: Ramat Gan
Job Type: Full Time and Hybrid work
We are looking for a Staff Architect, Data & AI Infra to shape, build, and scale the infrastructure that powers our data, AI, and research platforms. This is a senior player-coach role with broad architectural ownership across data infrastructure, ML infrastructure, developer experience, reproducibility, and production reliability. You will work across the wider engineering group as a hands-on technical architect, while also managing a small team of individual contributors focused on ML infrastructure.

This role is ideal for someone who can move between long-term platform architecture and practical execution: defining standards, building core systems, mentoring engineers, improving reliability, and partnering with Data Engineering, AI/Research, Product Engineering, Security, Bioinformatics, and Leadership to make our data and AI platforms scalable, reproducible, secure, compliant, and easier to use.

Location: Ramat Gan, Israel (hybrid model)

What will you do?

Architectural Leadership: Own and evolve the technical roadmap for our data and AI platforms, ensuring scalable and reliable architecture that supports current needs and prepares for a multi-cloud future.
MLOps & Platform Development: Design and build end-to-end MLOps systems-covering experimentation, training, reproducibility, and deployment-while managing specialized infrastructure like BigQuery, orchestration tools (Dagster/Airflow), and R/Python workloads.
Infrastructure Strategy: Define and lead strategy for GPU resources (scheduling, utilization, batch compute) and establish engineering best practices, data architecture standards, and platform guardrails.
Developer Experience: Enhance developer productivity by building self-service platforms, automation, internal tooling, and reusable templates that simplify workflows and reduce operational friction.
Team Leadership: Act as a player-coach to mentor engineers and manage a small team of ICs, fostering a culture of sound decision-making and technical excellence across the broader group.
Security & Reliability: Partner with Security to enforce compliance (SOC2, HIPAA, GDPR) and access controls, while mitigating operational risk through improved observability, incident readiness, and robust support processes.
Requirements:
Required qualifications:
8+ years of industry experience in infrastructure, platform, data, or ML engineering, with a deep background in designing production infrastructure for data-intensive or AI/ML systems.
Hands-on expertise building and operating MLOps systems (for model development, training, and deployment) and managing GPU infrastructure, including scheduling, resource management, and utilization.
Proficient in managing data infrastructure technologies (e.g., BigQuery, data warehouses, object storage, orchestration systems like Dagster or Airflow) and operating within Kubernetes/containerized environments.
Demonstrated ability as a player-coach, including people-management experience or leading small engineering teams, with a focus on mentoring senior engineers and influencing technical direction.
Strong communication skills with the ability to partner effectively across diverse groups, including Data Engineering, AI/Research, Product Engineering, Security, Bioinformatics and Leadership.

Preferred qualifications:
Developer Platform & Velocity: Proven ability to build internal developer platforms, "golden paths," and self-service infrastructure that reduce operational friction and streamline workflows for research and engineering teams.
AI-First Transformation: Experience leading or guiding software and data engineering teams through the transition toward AI-first development processes, fostering adoption of new paradigms and tooling.
Compliance & Domain Expertise: Strong background operating within regulated environments (SOC2, HIPAA, GDPR) and applying infrastructure best practices to domain-specific fields such as biotech, life sciences, or bioinformatics.
This position is open to all candidates.
 
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4 ימים
חברה חסויה
Location: Ramat Gan
Job Type: Full Time and Hybrid work
we are looking for a MLOps Team Lead.
As an MLOps Team Leader , you will own our AI infrastructure and backend engineering efforts, leading a team at the intersection of systems design and machine learning to build the engineering systems that turn Deep Learning and Computer Vision research into reliable, scalable production features.
What Youll Be Doing:
Lead MLOps Engineering: Own the roadmap and execution for a team of backend and AI infrastructure/MLOps engineers, setting technical direction, removing blockers, and holding the bar on delivery quality.
Build Production AI Systems: Design and implement production-grade, end-to-end AI solutions, including agentic workflows, that integrate Deep Learning models and Computer Vision algorithms into real features. Own the offline experimentation and validation layer, including POC environments that let the Algo team move from research to production confidently.
Architect Data Platforms: Drive the design and implementation of scalable data platforms and pipelines that power AI capabilities reliably and with an eye on cost and scale.
Cross-functional Collaboration: Work closely with the Algorithms and Data teams to tackle complex, real-world problems, translating research into shippable, maintainable systems.
Elevate Engineering Standards: Champion Software Engineering and System Design best practices across the group, introducing the right methodologies, tooling, and culture of craft.
Who You Are:
Requirements:
Professional Experience: At least 5 years of hands-on Software Engineering experience, with a minimum of 2 years in a team lead or managerial role.
Technical Proficiency:
Production Systems and DevOps: Proven experience building high-scale, production-grade systems on a cloud platform (AWS preferred), with solid command of DevOps practices including CI/CD, containerization, and observability.
Programming: Strong command of at least one programming language, with Python or Rust being a strong advantage.
AI/ML Systems: Solid understanding of the ML model lifecycle, including training, evaluation, deployment, and monitoring, with enough hands-on exposure to make good infrastructure decisions around it. Experience with TensorFlow, PyTorch, or Computer Vision concepts is an advantage.
AI-Augmented Development: Hands-on experience integrating AI coding tools into engineering workflows, with a genuine interest in expanding their use across the team.
Data Engineering: Hands-on experience with data pipelines and big data infrastructure.
Leadership and Mindset:
Engineering Quality: You hold a high bar for correctness, reliability, and maintainability, and you treat quality as a first-class engineering concern, not something retrofitted at the end of a sprint.
Team Builder: A people-first approach to leadership. You coach, you unblock, and you build psychological safety alongside technical excellence.
Engineering Judgment: A strong ability to self-learn, cut through ambiguity, and land well-reasoned technical decisions under pressure.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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חברה חסויה
Location: Ramat Gan
Job Type: Full Time
As a Senior Big Data Engineer, working within Mobility Group, you will play a pivotal role in designing, developing, and maintaining the data infrastructure that powers our location analytics platform.
RESPONSIBILITIES:

Data Pipeline Architecture and Development: Design, build, and optimize robust and scalable data pipelines to process, transform, and integrate large volumes of data from various sources into our analytics platform.
Data Quality Assurance: Implement data validation, cleansing, and enrichment techniques to ensure high-quality and consistent data across the platform.
Performance Optimization: Identify performance bottlenecks and optimize data processing and storage mechanisms to enhance overall system performance and reduce latency.
Cloud Infrastructure: Work extensively with cloud-based technologies (GCP and AWS), to design and manage scalable data infrastructure.
Collaboration: Collaborate with cross-functional teams including Data Analysts, Data Scientists, Product Managers, and Software Engineers to understand requirements and deliver solutions that meet business needs.
Data Governance: Implement and enforce data governance practices, ensuring compliance with relevant regulations and best practices related to data privacy and security.
Monitoring and Maintenance: Monitor the health and performance of data pipelines, troubleshoot issues, and ensure high availability of data infrastructure.
Mentorship: Provide technical guidance and mentorship to junior data engineers, fostering a culture of learning and growth within the team.
Requirements:
Strong hands-on Apache Spark experience - building and operating pipelines in production, not just familiarity
Proficiency in PySpark or Scala for Spark development
Proven track record delivering ETL pipelines and data integration at scale
Solid SQL skills and command of data modeling concepts
Cloud platform experience (AWS, GCP, or Azure) in a production data context
Comfortable working with distributed systems and big data formats (Parquet, Delta Lake)
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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6 ימים
Location: Ramat Gan
Job Type: Full Time
We are seeking an exceptional senior-level Python engineer to join a small team working on complex data pipelines, AI/ML systems, and cutting-edge software solutions.
This role will be responsible for managing technical objectives, providing technical leadership, and maintaining a hands-on approach to development. The ideal candidate will work closely across teams within as part of our business-facing technology organization.
A successful candidate will possess deep expertise in Python development, data engineering, software architecture, and design principles. They should be able to mentor junior team members, conduct code reviews, and drive architectural decisions. Experience with AI and large language models (LLMs) is highly desirable.
Requirements:
Master's degree or higher in Computer Science, Engineering, or a related technical field from a top-tier institution.
7+ years of experience as a Python developer, with a strong focus on data engineering and AI/ML systems.
Expert-level knowledge of Python and its ecosystem, including experience with data processing libraries like Pandas, NumPy, and PySpark.
Proficiency in designing and implementing scalable, maintainable, and efficient data pipelines.
Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
Expertise in version control systems (Git), CI/CD practices, and agile methodologies.
Strong communication skills with the ability to explain complex technical concepts to both technical and non-technical stakeholders.
Experience in the finance industry is a plus but not required.
Experience with AI/ML frameworks such as PyTorch, or scikit-learn, LLM, agents or systems of agents is a significant plus.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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4 ימים
חברה חסויה
Location: Ramat Gan
Job Type: Full Time and Hybrid work
we are looking for a MLOps Engineer.
As an MLOps Engineer, you will work at the intersection of backend engineering and machine learning, building the engineering systems that turn Deep Learning and Computer Vision research into reliable, scalable production features used by hundreds of thousands of families.
What you'll be doing -
Build Production AI Systems - Design and implement backend services and end-to-end AI solutions that integrate Deep Learning models, Computer Vision algorithms, and GenAI into real features.
Power Experimentation and Validation - Contribute to the offline experimentation and validation layer, including POC environments that let the Algo team move from research to production confidently.
Develop Data Pipelines - Build and maintain scalable data pipelines and big-data solutions that feed AI capabilities reliably and with an eye on cost and scale.
Own What You Ship - Take features end-to-end within your squad, from planning and design through implementation, deployment, and monitoring in production.
Cross-functional Collaboration - Work closely with the Algorithms and Data teams to tackle complex, real-world problems, helping translate research into shippable, maintainable systems.
Backend Guild Engagement - Actively contribute to a backend guild that drives Software Engineering and System Design best practices, guidelines, and standards across the R&D team.
Requirements:
Professional Experience - 3-5 years of hands-on backend software development experience, demonstrating solid coding skills and a foundational understanding of software design and architecture.
Technical Proficiency -
Production Systems and Cloud - Experience building and operating production-grade services on a cloud platform (AWS preferred), including familiarity with containerization (Docker/Kubernetes), CI/CD, and observability tools like Grafana and Prometheus.
Programming - Strong command of at least one programming language, with Python or Rust being a strong advantage.
Web Services - Proficiency in designing and maintaining web services and APIs, particularly with REST and WebSocket protocols.
AI-Augmented Development - Hands-on experience using AI coding tools in your day-to-day workflow, with genuine curiosity to push their boundaries.
Mindset -
Engineering Quality - A commitment to clean, robust, and rigorously tested code - you treat quality as a first-class engineering concern, not something retrofitted at the end of a sprint.
Self-Learner - A strong ability to self-learn, step out of your comfort zone, and independently take a concept from research to production.
Problem Solver - Strong capability to work through complex issues and adapt to evolving technologies and environments.
Advantages -
Familiarity with the ML model lifecycle - training, evaluation, deployment, and monitoring of models in production.
Experience with Data Engineering and big-data pipelines (e.g., Dagster, Airflow, Iceberg).
Experience with TensorFlow, PyTorch, or Computer Vision concepts.
Experience with distributed systems, message queues (Kafka, RabbitMQ, SQS), and high-scale infrastructure.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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Location: Ramat Gan
Job Type: Full Time
Required Software Engineer III, Platform Engineering and Infrastructure
About the job
Our software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to our needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
As a part of this team, you will join the premier engineering powerhouse driving Chronicle Security Orchestration, Automation and Response (SOAR) to operate at true scale. As hyper-focused experts in Platform Engineering and Infrastructure, the team holds absolute ownership over the Security Operation provisioning service, orchestrating complex resources in our Cloud Platform and mission-critical workloads in Kubernetes (GKE) and in Compute infrastructure with precision. You do not simply respond to operational issues, but build the platforms, tools, and developer infrastructure that transform complex challenges into robust, software-driven solutions.
Responsibilities
Write product or system development code.
Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
Requirements:
Minimum qualifications:
Bachelors degree or equivalent practical experience.
2 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture.
2 years of experience with software development or 1 year of experience with an advanced degree in an industry setting.
Preferred qualifications:
Master's degree or PhD in Computer Science or related technical fields.
2 years of experience with data structures and algorithms.
Experience developing accessible technologies.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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03/08/2026
Location: Ramat Gan
Job Type: Full Time and Hybrid work
We are a fast-growing cybersecurity startup redefining how organizations protect themselves. Our Data Team is at the heart of that mission - powering everything from security insights to customer-facing intelligence. We are looking for a Software Engineer to help design and develop the core services and applications that drive our data capabilities. In this role, you will build high-quality, scalable software; contribute to the architecture of our next-generation data systems; and collaborate with research and product teams to turn cutting-edge ideas into production-ready features.
Responsibilities:
Design, develop, and maintain scalable backend services and components that power our data workflows, analytics, and product features.
Build high-quality internal tools and applications that improve engineering workflows and enable data-driven development across the organization.
Contribute to the architecture and evolution of our new data platform with a strong focus on clean design, testability, maintainability, and performance.
Collaborate closely with security researchers, analysts, and product managers to translate innovative cybersecurity concepts into reliable, production-ready software.
Apply engineering best practices across the stack - including code quality, testing, observability, versioning, and documentation - to ensure system robustness as we scale.
Requirements:
B.Sc Computer Science or a related technical field (or equivalent work experience).
3+ years of experience as a Software Engineer, Backend Engineer, or Data Platform Engineer.
Strong, hands-on development experience in Python as part of a production engineering team.
Experience designing, implementing, testing, and deploying production-grade backend services, including API design, data models, and modular architectures.
Basic understanding of CI/CD practices, automated testing, containerized development, and operating software in production environments.
Experience with K8s & cloud-based environments (GCP preferred) - advantage.
Experience with modern data platform concepts (data lakes, metadata layers, analytical engines) - advantage.
This position is open to all candidates.
 
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23/08/2026
חברה חסויה
Location: Ramat Gan
Job Type: Full Time
As a Senior DevOps Engineer on the Price-It Platform team, youll own core cloud infrastructure, CI/CD, and the Kubernetes platform that powers Earnixs cloud-based decisioning products for global insurers and banks. Youll take end-to-end technical ownership of high-impact platform initiatives - from design through production - working hands-on across AWS, Kubernetes, and automation, while shaping how the team builds and ships.
What You'll Do: Own and evolve the cloud platform: AWS infrastructure, EKS/Kubernetes, and Terraform-based Infrastructure-as-Code. Build and maintain CI/CD pipelines and GitOps workflows that keep delivery fast, safe, and repeatable. Design and operate secure networking and access (ALB, OIDC/OAuth2, JWT/M2M, Okta, firewalling). Drive reliability, scalability, and resilience - including disaster recovery and multi-region readiness. Partner closely with R&D, Product, QA, and Support to take initiatives from design to production. Improve Developer experience and velocity, including through AI-assisted and agentic engineering workflows. Mentor and raise the engineering bar through technical leadership, design reviews, and documentation.
Position Intro:
Earnix is the premier provider of mission-critical, cloud-based intelligent decisioning across pricing, rating, underwriting, and product personalization. These fully-integrated solutions provide ultra-fast ROI and are designed to transform how global insurers and banks are run by unlocking value across all facets of the business. Earnix has been innovating for insurers and banks since 2001 with customers in over 35 countries across six continents and offices in the Americas, Europe, Asia Pacific, and Israel.
Requirements:
Youll Do It Using: 5+ years of hands-on DevOps / Platform Engineering experience. Production expertise with AWS, Kubernetes (EKS), and Terraform (Infrastructure-as-Code). Strong CI/CD (Jenkins or equivalent), GitOps (ArgoCD), Helm, and containerization (Docker). Solid cloud networking, security, and IAM fundamentals. Scripting in Python and/or Bash. Familiarity with AI-assisted / agentic development tools (e.g. Cursor, Claude). Advantages: Observability (Prometheus/Grafana/Datadog), Karpenter, Crossplane, Kyverno, DR/multi-region, FinOps; relevant academic background or equivalent practical experience.
Youll Excel By: Working effectively in a fast-paced, growing, and global environment. Bringing a creative, structured, and proactive approach to problem solving. Communicating clearly and professionally with different audiences. Being well-organized, independent, collaborative, and accountable.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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1 ימים
חברה חסויה
Location: Ramat Gan
Job Type: Full Time
Were seeking a Solutions Engineer Manager who thrives in fast-paced, customer-facing environments and enjoys leading high-performing engineering teams, delivering complex enterprise integrations, and turning custom technical solutions into scalable, repeatable processes.
About the role
Our delivery org is scaling fast. Customers are getting larger and more global, and the number and complexity of delivery projects is growing with them.
We're hiring a Solutions Engineer Manager to lead the engineers who build the two-way integrations connecting our company's agents to our customers' enterprise systems - and to turn that work from a series of custom projects into a repeatable engine.
Where you own and where you partner. Technical Project Managers own the project plan and the customer-facing schedule. You own the execution: the estimates your team commits to, the quality of what ships, and the health of what runs in production. When a date is at risk, the TPM manages the customer conversation; you own the engineering path back to green.
How the team grows. You'll lead and hire a team of 4-8 Solutions Engineers. Within your first year we expect the charter to broaden into DevOps and product-adjacent engineering, and we expect you to define that team and hire it. If you want to build an org rather than inherit one, this is the job.
This is a Tel Aviv-based role, with travel to our US office and to global customers.
‍What you'll own
The team
Hire, coach, and grow the Solutions Engineering team - then expand it into DevOps and dev hires as the charter widens
Run the day-to-day: capacity allocation across concurrent projects, escalation triage, on-call rotation, 1:1s, and growth plans
Raise the skill ceiling of every engineer who reports to you
Execution
Stand behind your team's estimates - and hit them
Own the quality of shipped integrations and the health of production environments; keep escalations that reach our company personnel low
Build reproducible playbooks so each implementation costs less than the last
Feed engineering reality into TPM and Solutions Architect planning for POCs and production rollouts
Customers
You are not the account owner. You're in the room for four things: consultation, architecture planning, execution excellence, and timelines.
Advise across the full stakeholder range - from the engineers your team integrates with, to their engineering managers, up to directors, VPs of Engineering, and CIOs
Lead architecture planning with customer technical teams: what we'll build against, what their systems can actually support, and where the risk sits
Speak to execution and timelines with authority - what's committed, what it depends on, and what changed. The depth adjusts to the audience; the answer doesn't.
Be the technical voice customers trust when the question is can this actually work
Technical bar
Your engineers will go deeper than you in specific areas. You need enough depth to review their work, make architecture calls, and interview well across all of it.
Large-scale resilient two-way integrations against custom enterprise APIs - queues, retries, idempotency, race conditions, rate limits and quotas
Designing and consuming APIs for enterprise customers. Required knowledge: Protocols (REST, GraphQL), API security & authentication, architecture (polling, webhooks, pagination). Knowledge of best practices for market integrations
Cloud deployments at scale - CI/CD, observability, and running on-call for an independent team. Enough infrastructure judgment to hire DevOps engineers, not just work alongside them.
A plus: on-prem environments; AI, LLM, and knowledge-pipeline engineering; building products and processes under data-protection regulation.
דרישות:
Crazy personal drive. Be a bulldozer.
Insatiable creativeness. Be a big dreamer.
You've led an engineering team to predictable delivery - stable output, dates that hold
You turn one-off solutions into repeatable process by i המשרה מיועדת לנשים ולגברים כאחד.
 
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עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
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