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לפני 6 שעות
דרושים בG-NESS
Location: Tel Aviv-Yafo
Job Type: Full Time
Empower business innovation at scale! As the Power Platform Citizen Developer Lead, you will build and run a sustainable, governed maker ecosystem that enables business teams to safely create high-value solutions within enterprise guardrails.
Key Responsibilities:

Technical Setup FinOps: Own environment strategies, tenant settings, DLP policies, and billing/cost-attribution models for Power Apps, Power Automate, and Copilot Studio.

Governance ALM Guardrails: Enforce ALM processes and automated monitoring to protect data, manage app lifecycles, and prevent shadow IT or unmanaged sprawl.

Enablement Alignment: Drive maker adoption through tailored onboarding and reusable templates, bridging business demand with Enterprise Architecture, Security, and Legal standards.
Requirements:
- Both hands-on technical experience and strategic expertise standing up maker enablement programs in enterprise environments- Must
- Deep practical knowledge of Power Apps, Power Automate, and Copilot Studio (including environment management, connectors, and DLP policies).
- Demonstrated experience designing governance, ALM, and FinOps models for low-code platforms at scale.
- Proven track record of building and growing maker/citizen- Developer communities and onboarding frameworks.
- Strong cross-functional collaboration skills with Architecture, Security, and Legal stakeholders.
This position is open to all candidates.
 
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לפני 7 שעות
דרושים בG-NESS
Location: Tel Aviv-Yafo
Job Type: Full Time
Lead the enterprise-wide scaling, governance, and enablement of Microsoft Copilot, including agents, plugins, and extensibility. You will balance innovation velocity with risk management-curating capabilities, driving cross-functional approvals, and enforcing guardrails to ensure secure, cost-effective AI adoption.
Key Responsibilities:
Own environment strategies, tenant settings, DLP policies, and FinOps models for Power Apps, Power Automate, and Copilot Studio.
Enforce ALM processes, data guardrails, and automated monitoring to protect data, manage app lifecycles, and prevent shadow IT.
Drive maker adoption through segmented onboarding journeys, reusable templates, and shared platform components.
Bridge business demand with IT, embedding Enterprise Architecture, Security, and Legal requirements directly into platform desig
Requirements:
-Both hands-on technical experience and strategic expertise standing up maker enablement programs in enterprise environments- Must
- Deep practical knowledge of Power Apps, Power Automate, and Copilot Studio (including environment management, connectors, and DLP policies).
- Demonstrated experience designing governance, ALM, and FinOps models for low-code platforms at scale.
- Proven track record of building and growing maker/citizen- Developer communities and onboarding frameworks.
- Strong cross-functional collaboration skills with Architecture, Security, and Legal stakeholders.
This position is open to all candidates.
 
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21/06/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time and Hybrid work
You will manage the AI Platform Engineer(s), set the technical standards for the AI Power User group's citizen development program, and serve as the connective tissue between business leadership, platform owners, and development teams. You will shape the multi-year AI architecture roadmap while also rolling up your sleeves to conduct architecture reviews, resolve blockers, and move use cases from concept to production. This is a role for someone who can think big and execute - and who understands that in an enterprise context, the quality of your governance is inseparable from the quality of your architecture.
What You'll Own
Strategy & Architecture
Define and own the enterprise AI integration strategy - identifying opportunities to embed intelligent automation, agentic workflows, predictive analytics, and generative AI capabilities across our core platforms
Develop and maintain reference architectures, design patterns, and the AI architecture decision log that governs how AI models connect to enterprise systems and what they are permitted to do
Consult on enterprise system architecture and implement best practices for the Enterprise Business Systems team to leverage in their day-to-day execution.
Lead Proof-of-Concept initiatives for new AI tools and platform-native AI features, evaluating them against build-vs-buy criteria before recommending adoption
Partner with business stakeholders to translate operational pain points into AI use cases with clear ROI framing and sequencing criteria
Contribute to our enterprise data strategy, ensuring AI initiatives are supported by clean, accessible, and well-governed data pipelines
Integration Architecture & Delivery

Design and own the Workato eMCP layer - the MCP governance model, persona-scoped token framework, workspace isolation strategy, and the single sanctioned action surface through which all AI agents write back to enterprise systems
Define integration patterns and standards for AI model connectivity (Claude, ChatGPT) to Salesforce, NetSuite, HiBob, and Jira - specifying what agents can read, what they can write, through which surfaces, and with what confirmation and audit requirements
Requirements:
8+ years of experience in enterprise solutions architecture, systems integration, or a closely related discipline - with a strong track record of designing and delivering production-grade integration platforms at scale
Deep hands-on expertise with Workato or a comparable enterprise iPaaS platform (MuleSoft, Boomi, Azure Integration Services) - including workspace design, governance configuration, and operational management
Demonstrated experience building and integrating across CRM (Salesforce preferred), ERP (NetSuite preferred), and iPaaS platforms at the enterprise level - in production, not just proof-of-concept
Hands-on experience designing or deploying AI/ML features in production enterprise environments - including at least one of: agentic AI systems, LLM-powered workflows, predictive analytics, or intelligent document processing
Strong command of integration patterns: REST/GraphQL APIs, event streaming, ETL/ELT pipelines, webhook-based automation, and API security best practices
Experience designing and enforcing integration governance: access control models, audit logging, approval workflows, and token management
Familiarity with Model Context Protocol (MCP) or direct experience connecting AI models to enterprise systems in a production context
Proven ability to lead distributed technical teams and communicate architecture clearly to both executive sponsors and engineering teams - you can hold a technical standard without becoming a bottleneck
Experience with the requisite AI-related Audit Management frameworks (ISO42001, ISO27001, SOC 2, etc.)
This position is open to all candidates.
 
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02/07/2026
Location: Tel Aviv-Yafo
Job Type: Full Time
The Architect leads the design and implementation of scalable AI platforms and central services for AI, creating shared capabilities, tools, and frameworks that transform how our company builds, delivers, and operates products.
Beyond architecture, this role drives strategic, high-impact projects with powerful ROI that positively disrupt operations and elevate customer outcomes, improving efficiency, innovation, and product value across the company.
Strategic Objectives:
Accelerate AI Transformation across the organization by designing and operationalizing central AI services and a unified platform framework that powers key transformation initiatives, including Agentic Workflows.
Institutionalize AI Engineering and Governance Standards through common architecture, services, and enablement frameworks ensuring scalability, security, quality, and compliance.
Deliver measurable transformation outcomes through strategic, ROI-driven projects that reshape how our companys products are built and operated, directly benefiting customers and business performance.
Drive sustainable transformation at scale, balancing rapid innovation with operational excellence and long-term maintainability.
Key Responsibilities
Architect the AI Transformation Framework
Design and own the end-to-end architecture that enables the companys AI Transformation vision - spanning data, models, pipelines, APIs, and governance layers.
Define blueprints and integration standards to embed AI and automation throughout the SDLC, from ideation to delivery.
Build Generative AI Platforms and Central Services
Lead the design and implementation of the AI Enablement Platform and central AI services powering transformation initiatives such as Agentic Workflows and the Knowledge Hub.
Create scalable, secure, and modular AI components that can be leveraged across product lines and engineering domains.
Partner with infrastructure, platform, and security teams to operationalize LLM-based services, retrieval systems, and agentic automation flows.
Drive Strategic Transformation Projects
Lead cross-functional initiatives that deliver tangible operational and business impact - improving speed, quality, and cost-efficiency across the product organization.
Develop strong business cases and ROI frameworks to prioritize and communicate transformation value at the executive level.
Translate successful outcomes into reusable playbooks and AI cookbooks that scale across teams, roles, and product domains.
Technical Leadership and Enablement
Act as the senior technical authority and coach for AI transformation initiatives, guiding teams through architecture reviews, proofs of concept, and scale-up phases.
Mentor internal architects and tech leads to develop AI-native architectural competencies.
Requirements:
10+ years in software or platform architecture, including experience leading cross-organizational transformations.
Proven track record of designing large-scale, data-driven, or AI-enabled systems.
Experience delivering projects with measurable business outcomes and ROI.
Expertise
Enterprise and cloud-native architecture (multi-tenant, microservices, API-first, distributed systems).
Deep understanding of AI/ML infrastructure, LLM integration patterns, agent frameworks, and MLOps.
Familiarity with data engineering, retrieval-augmented generation (RAG), and workflow orchestration (e.g., n8n, LangChain).
Background in cyber security or secure software design - strong advantage.
Mindset & Skills
Transformation-oriented thinker who connects technology to organizational capability and business strategy.
Excellent communicator and influencer at multiple levels (executive to technical).
Bias for action, simplification, and measurable outcomes.
This position is open to all candidates.
 
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Location: Tel Aviv-Yafo
Job Type: Full Time
we are building the future of AI Security - a platform that enables organizations to adopt AI boldly while keeping it governed, observable, and secure.
Were looking for a hands-on Software Engineering Team Lead to own our AI Security product for coding agents - from Claude Code, Codex, and GitHub Copilot to cloud-native coding environments and fully autonomous development agents.
This is a high-impact, product-driven leadership role at the intersection of AI, developer experience, cloud infrastructure, and enterprise security. Youll lead a full-stack team that owns this domain end-to-end: from infrastructure and policy engines to delightful product experiences that engineering teams actually love using.
What Youll Do
Lead and grow a full-stack engineering team dedicated to securing AI coding agents and autonomous development workflows.
Own the entire product area - strategy, architecture, roadmap execution, quality, customer adoption, and continuous iteration.
Design and build production-grade capabilities spanning AWS & Kubernetes infrastructure, backend services, real-time policy & enforcement engines, rich APIs/integrations, and intuitive UI/UX.
Partner closely with Product, Design, Sales Engineering, and customers to stay ahead of emerging AI risks and developer needs.
Set a high bar for engineering quality, ownership mindset, fast delivery, and product thinking across the team.
Help shape how the industry solves one of the biggest challenges of our time: letting AI agents move at incredible speed without compromising security or governance.
Requirements:
3+ years leading full-stack engineering teams, with a strong preference for staying hands-on with code and architecture.
5+ years of strong full-stack software engineering experience.
Deep expertise across AWS, Kubernetes, backend services, APIs, databases, and modern frontend/UI development.
Strong backend skills in Python, Node.js, Go, or similar languages.
Proven track record owning complex product domains from initial design through production and ongoing evolution.
Excellent product intuition and the ability to collaborate effectively with Product, Design, field teams, and customers.
Genuine curiosity about AI coding agents, modern developer workflows, and the future of AI-assisted software engineering.
This position is open to all candidates.
 
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חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We are looking for a Hands-On Team Lead - Agentic Engineering to lead, build, and actively contribute to a new team focused on applying AI agents, and intelligent workflows to improve business processes across the organization.
This role is both a technical leadership role and a hands-on engineering role. The successful candidate will manage the first Agentic Engineer, help grow the team, and personally contribute to the design, development, integration, and deployment of agentic AI solutions.
The ideal candidate is someone who can lead from the front: writing code, designing architectures, building prototypes, reviewing technical work, solving complex implementation challenges, and working directly with business stakeholders to turn process opportunities into working AI-driven solutions.
Responsibilities:
Partner directly with business teams to identify automation and optimization opportunities
Design and implement agent-based AI workflows to automate internal processes end-to-end
Design and build LLM-powered tools (agents, workflows, copilots)
Develop RAG pipelines, integrate multiple data sources, and build intelligent automation flows
Deep-dive into company data - validate quality, uncover gaps, and ensure AI solutions are built on solid foundations
Take solutions from idea → prototype → production
Governance, Reliability & Security
Ensure AI workflows comply with security, privacy, and compliance requirements
Implement guardrails, approvals, logging, and human-in-the-loop mechanisms where needed
Monitor AI performance, errors, hallucinations, and drift
Collaboration & Enablement:
Partner with business owners and IS teams to identify automation opportunities
Translate business requirements into AI-driven solutions
Document AI flows, decision logic, and operational runbooks
Educate internal teams on AI capabilities and limitations.
Requirements:
3+ years as a hands-on as lead engineer, solution architect, AI lead or similar role.
1-2+ year proven experience with AI solutions.
Managerial Experience for small teams, either direct or matrix based.
Strong hands-on software development experience, including writing, maintaining, and delivering production-quality code.
Proven experience managing, mentoring, or technically leading engineers.
Strong GenAI development experience with LLMs, SLMs, prompt engineering, context engineering, and agent-based systems.
Strong Python skills and a production-focused engineering mindset.
Experience designing and building agentic AI workflows, RAG pipelines, LLM-powered applications, copilots, or intelligent automation solutions.
Experience bringing AI agents, GenAI applications, or automation solutions into production.
Solid understanding of APIs, integrations, databases, cloud environments, monitoring, logging, security, and deployment practices.
Ability to work directly with non-technical stakeholders and translate business needs into technical solutions.
Experience with AWS AgentCore ,n8n, UiPath, Make,Workato , or similar is an advantage.
Experience with enterprise AI governance, security, compliance, and privacy requirements is an advantage.
Strong builder mindset: proactive, independent, hands-on, business-oriented, and impact-driven.
This position is open to all candidates.
 
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Location: Tel Aviv-Yafo
Job Type: Full Time
Req ID: 20153

As a Machine Learning Engineering Manager, you will lead a team focused on the foundational ML & Data layers to power the ranking & recommendation systems in scope. You will drive the development of robust data & ML pipelines at scale, lead the implementation of the tools for ML scientists to test and productionize advanced ML RecSys solutions.

As a technical manager of Machine Learning Engineers and Data engineers, you should be passionate about technology, keep up to date with recent breakthroughs in the field, define and shape the teams ML and platforms roadmap, and not be afraid to get your hands dirty with code when needed.

You are expected to be the focal point for all technical aspects, make sure your team members deliver on their tasks, and work together with other stakeholders to define and shape the roadmap of our products. You will work independently and will also be responsible for making technical decisions within your team.

Key Job Responsibilities and Duties:

Lead and develop a high-performing team, fostering individual growth and collaboration.

Manage and mentor ML engineers and Data engineers, ensuring their professional development and effectiveness.

Develop scalable ML infrastructure and pipelines for efficient data processing and evaluations deployment.

Evaluate architecture solutions based on cost, business needs, and emerging technologies.

Collaborate closely with software engineers to ensure seamless deployment and model inference.

Monitor application health, set and track relevant metrics, and implement effective maintenance strategies.

Collaborate with stakeholders to translate business requirements into viable ML solutions.

Evaluate and integrate new ML technologies to enhance productivity and performance.

Drive continuous improvement through model retraining, performance monitoring, and optimization.

Develop robust ML and AI solutions that meet business objectives while considering production constraints.
Requirements:
3+ years leading an ML engineering team of a minimum of 4 people in a fast-paced production environment.

Relevant work or academic experience (MSc + 5 years of working experience, or PhD + 3 years of working experience), involved in the application of Machine Learning to business problems.

Masters degree, PhD or equivalent experience in a quantitative field (e.g. Computer Science, Engineering Mathematics, Artificial Intelligence, Physics, etc.).

Strong knowledge in areas like e.g. Recommender Systems, Deep Learning, Information Retrieval, Causal Inference, scaling ML models, etc.

Experience designing and executing end-to-end solutions for deploying different ML models.

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.

Demonstrable experience with MySQL, Cassandra, DynamoDB or similar relational/NoSQL database systems.

Deep understanding of machine learning algorithms, statistical models, and data structures.

Experience collaborating cross functionally in the development of machine learning products (e.g. Developers, UX specialists, Product Managers, etc.).

Strong working knowledge of Python, Java, Kafka, Hadoop, SQL, and Spark or similar technologies. Working experience with version control systems.

Excellent English communication skills, both written and verbal.

Successfully driving technical, business and people related initiatives that improve productivity, performance and quality while communicating with stakeholders at all levels.

Leading by example, gaining respect through actions, not your title. Developing your team and motivating them to achieve their goals. Providing feedback timely and managing your key team performance indicators.
This position is open to all candidates.
 
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05/07/2026
Location: Tel Aviv-Yafo
Job Type: Full Time
R&D is transforming. Not incrementally - fundamentally. AI is reshaping how software gets built, reviewed, tested, and shipped. we are accelerating that shift from the inside, and this role sits at the center of it.
The AI Acceleration group exists to make our company's SASE R&D organization dramatically more productive through AI. We build the platforms, tooling, and enablement programs that turn individual engineers into force multipliers. If you believe the future of software development is agentic, and you want to be the one who makes that real at scale for a world-class security organization - this is the role.
We operate with the urgency of a startup and the resources of a global security leader.
You will lead multiple teams - managing team leads and tech leads - driving adoption across 300+ R&D engineers and operating at the intersection of engineering leadership, platform architecture, and organizational change.
Strategic Objectives:
Be the technical and strategic AI leader for SASE R&D - the authoritative voice on how AI transforms software development within the organization, bringing deep hands-on expertise, shaping direction, setting standards, and influencing leadership decisions.
Own the AI tooling portfolio - evaluate, select, and govern the tools and platforms developers use, from AI-assisted code review to coding agents and agentic automation.
Drive measurable improvement in R&D productivity - with clear goals, transparent tracking, and regular reporting to R&D leadership.
Enable developers at scale through structured learning programs, onboarding paths, and community-based enablement - making AI adoption a default, not an exception.
Key Responsibilities
Lead the AI Acceleration Group
Manage and grow multiple teams - working through team leads and tech leads - responsible for building and running AI tooling and enablement programs across SASE R&D.
Define the group's roadmap, prioritize quarterly goals, and translate OKRs into executable engineering plans.
Operate as both a technical leader and a people manager - you stay close to the work and invest in your team's growth.
Drive the Agentic and AI Journey in the SASE Product
Partner with SASE product and engineering leadership to identify and drive high-impact opportunities to embed AI and agentic capabilities into the product.
Lead proof-of-concept initiatives, shape the technical approach, and guide teams from early exploration through to production delivery.
Serve as the bridge between the fast-moving AI tooling ecosystem and the practical realities of building a large-scale security product.
Own the AI Engineering Foundation
Ensure SASE R&D has the platforms, tooling infrastructure, and architectural standards needed to build and operate AI-native workflows at scale.
Define standards for agentic integrations, tool connectivity, and developer-facing surfaces - so teams can move fast without reinventing the wheel.
Ensure all platforms operate within SASE R&D's security and compliance
דרישות:
Experience
+8 years in software engineering.
+3 years in engineering leadership roles.
Demonstrated experience leading cross-functional initiatives with measurable outcomes.
Experience navigating both fast-moving and large-scale engineering environments - you know how to drive change with urgency and how to make it stick in a complex organization.
Proven hands-on involvement with AI tooling, agentic systems, or LLM-based products over the past two years - not as an observer, but as a builder or decision-maker.
BSc/MSc in Computer Science, Software Engineering, or equivalent.
Technical Depth
Deep, hands-on expertise with AI coding tools and agent frameworks - you've built with them, evaluated them at organizational scale, and have strong, informed opinions on where the space is heading.
Mastery of LLM integration patterns, agentic workflows, MCP (Model Context Protocol), and coding agent architectures - this is your domain, not a learning obje המשרה מיועדת לנשים ולגברים כאחד.
 
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15/07/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We are seeking an experienced Generative AI Engineer to join our AI squad. This is a unique opportunity to wear multiple hats - serving as both a developer of cutting-edge GenAI solutions and an advisory expert helping organizations transform their AI capabilities. You'll build end-to-end GenAI projects from conception to production while staying at the forefront of this rapidly evolving field.
Key Responsibilities:
GenAI Development & Implementation:
End-to-End Development: Build GenAI solutions from POC through production deployment, handling all backend development responsibilities
Client Engagement: Participate in technical discussions with clients, gather requirements, and help translate business visions into feasible technical solutions through presentations and consultations
Backend Development: Design and implement production-grade microservices architectures for GenAI applications using Python
Cloud Implementation: Deploy and manage GenAI solutions across GCP, Azure, and AWS platforms, leveraging cloud-native AI services
Cross-functional Collaboration: Work closely with project managers, full-stack developers, and Power Automate teams to deliver complete solutions
System Evaluation: Assess and optimize production-grade GenAI systems for performance, scalability, and reliability
Continuous Learning & Innovation:
Technology Scouting: Continuously explore and evaluate new GenAI models, frameworks, and techniques as they emerge
Best Practices Development: Establish and refine methodologies for GenAI solution development and deployment
Requirements:
Technical Expertise:
Programming: Advanced proficiency in Python for backend development and AI applications
GenAI Mastery: Deep understanding of large language models (LLMs) and experience with major model APIs (OpenAI, Anthropic, Google, etc.)
Multi-Agent Systems: Expertise in designing and implementing GenAI multi-agent architectures
Prompt Engineering: Advanced skills in prompt design, optimization, and engineering techniques
Cloud Platforms:
Required: Hands-on experience with AI services in at least one major cloud platform (GCP, Azure, or AWS)
Advantage: Experience across multiple cloud platforms (AI Search, Vertex AI, SageMaker, etc.)
Development Frameworks: Experience with GenAI frameworks like LangChain and cloud-based retrieval services
Software Engineering: Strong background in microservices architecture, API development, and production system design
AI/ML Fundamentals: Solid understanding of deep learning principles and GenAI techniques
Containerization (Advantage): Experience with Docker and Kubernetes for deployment and orchestration
OCR Technologies (Advantage): Experience with Optical Character Recognition systems and document processing
Data Pipelines (Advantage): Experience building and maintaining data processing pipelines
Professional Experience:
Mid+ Level Experience: 2+ years in AI/ML development with significant GenAI project experience
Production Systems: Proven track record of deploying and maintaining AI solutions in production environments
Client-Facing Experience: Comfortable with technical presentations and requirement gathering sessions
Education & Background:
Preferred: Bachelor's or Master's degree in Computer Science, AI, Machine Learning, or related technical field
Alternative: Demonstrated industrial experience in developing deep learning and GenAI solutions (degree not required with strong portfolio)
Soft Skills:
Problem-Solving: Excellent analytical and creative problem-solving abilities
Communication: Strong technical communication skills for both technical and non-technical audiences
Collaboration: Proven ability to work effectively in cross-functional teams
Adaptability: Thrives in fast-paced environments and eager to learn emerging technologies
Consulting Mindset: Ability to understand client needs and provide strategic technical guidance.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8738904
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תודה על שיתוף הפעולה
מודים לך שלקחת חלק בשיפור התוכן שלנו :)
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
we are looking for a Data Infra Tech Lead.
The Data Group builds and maintains the core data assets that power our products, from our Company and Contact databases to our Connect and Recommendation systems. The Data Tech Lead sits at the forefront of that mission, leading engineering innovation that directly shapes the experience of our growing user base and drives the evolution of intelligent data services.
This role is based in Tel Aviv. We work in a hybrid model, with 3 days a week in the office.
Your impact and responsibilities:
Leading the design and development of scalable, high-performance data workflows, including both batch pipelines and real-time data products.
Defining, implementing, and enforcing engineering best practices related to code quality, testing, CI/CD pipelines, observability, and documentation.
Mentoring, supporting, and growing a team of data engineers, fostering a collaborative and high-performance engineering culture.
Identifying opportunities to create new data assets and features that expand product capabilities and value proposition.
Driving architectural decision-making in areas of data modeling, storage solutions, and compute resources within cloud environments such as Databricks and Snowflake.
Collaborating closely with cross-functional stakeholders- including Product, DevOps, and R&D - to ensure effective delivery and platform stability.
Promoting and championing a data-driven mindset across the organization, balancing technical rigor with business context and strategic goals.
Requirements:
Minimum 5 years of hands-on experience designing, building, and maintaining large-scale data pipelines for both batch processing and streaming use cases.
Deep expertise in Python and SQL, with a focus on writing clean, performant, and maintainable code.
Strong analytical and problem-solving skills, with the ability to break down complex technical challenges and align solutions to business objectives.
Solid background in data modeling, analytics, and designing architectures for scalability, performance, and cost efficiency.
Strong problem-solving skills and ability to work in a fast-paced, high-growth environment
Practical experience working with modern OLAP systems and cloud data platforms, including Databricks, Snowflake, or BigQuery.
Familiarity with AI agent protocols (such as A2A, MCP) and LLM-related technologies (e.g., vector databases, embeddings) is a plus.
AI-saviness, with comfort adopting AI tools and staying current with emerging AI trends and technologies.
Experience leading Task Forces and cross-domain projects
Bonus Points:
Experience with Elasticsearch, Databricks, and relational database management systems.
Strong understanding of cloud infrastructure (preferably Amazon Web Services), including networking, storage, identity and access management (IAM), and cost optimization.
Background in FinOps or cloud cost management frameworks - an advantage.
Management experience.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8720650
סגור
שירות זה פתוח ללקוחות VIP בלבד
סגור
דיווח על תוכן לא הולם או מפלה
מה השם שלך?
תיאור
שליחה
סגור
v נשלח
תודה על שיתוף הפעולה
מודים לך שלקחת חלק בשיפור התוכן שלנו :)
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
we are looking for a Team Lead.
As the Team Lead, you will manage a high-impact squad dedicated to ensuring compliance with critical processes and data integrity. Your role is central to driving quality, scalability, and accountability in processes such as compliance audits, credit bureau furnishing, and legal automation. This is an exciting opportunity to work at the intersection of technology, compliance, and data. You will lead Backend Engineers and Data Engineers to build robust systems that power regulatory functions. You will have the chance to shape the technical strategy and build the team (hiring and mentoring), while remaining hands-on with modern technologies.
Key Responsibilities:
Manage and mentor a dynamic team of 3 engineers (Backend & Data), fostering collaboration and professional growth. You will also be responsible for hiring and onboarding new talent to the team.
Architect scalable, high-performance systems that support compliance-critical operations. You will define the technical roadmap and drive modernization efforts.
Design and oversee both Backend infrastructure and Data Pipeline to ensure accurate, auditable, and scalable compliance processes.
Act as the single point of contact for legal and compliance stakeholders, handling and facilitating all technical aspects of audit requests (SOC, state, and other regulatory audits).
Collaborate with cross-functional teams, including other engineering teams, product managers, legal, and business stakeholders, to align technology and compliance goals.
Remain active in the codebase, ensuring high code quality and leading by example.
Requirements:
B.Sc. in Computer Science, Engineering, or a related field (or equivalent experience).
5 + years of experience in software development (Backend focused), with a strong emphasis on system architecture.
2+ years of experience leading engineering teams, mentoring developers, and managing end-to-end project lifecycles in production environments
Strong background in building large-scale, high-performance systems and designing distributed microservices.
Experience with data pipelines and big data infrastructure (familiarity with tools like Spark, Airflow, or Snowflake is a plus).
Hands-on experience with Java or Kotlin in production, and familiarity with Cloud technologies (AWS).
Ability to collaborate and communicate effectively across teams (Engineers, Product, Legal) and with senior leadership.
Passion for compliance, data accuracy, and impactful results. Solution-oriented mindset with a proactive approach to problem-solving.
Adaptability to thrive in a fast-paced, dynamic environment.
Proficiency in written and spoken English.
Experience with AI tools and a strong interest in continuously exploring and applying them in everyday work are highly valued.
Advantage:
Strong proficiency in Kotlin.
Experience with Event-Driven Architecture and Kafka.
Domain Expertise: Background in Fintech, Banking, or Regulation/Compliance environments.
Data Tools: Experience with specific data engineering tools like Snowflake, Spark, or DBT.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8703227
סגור
שירות זה פתוח ללקוחות VIP בלבד