דרושים » הנדסה » Engineering Manager - Development Platform

Were seeking a strategic and hands-on Head of Engineering to lead and scale our technical organization.
In this role, you will turn our product vision into a strong, scalable engineering foundation, build efficient processes, and drive technical excellence. You should be passionate about technology, user value, and high-quality execution. Success means challenging assumptions, diving into details, and shaping both the product and the team that builds it.
Responsibilities
Lead and scale of 20-30 engineering organizations (Frontend + Backend) through two Group Leads.
Own the technical strategy and roadmap, ensuring strong alignment with product goals and long-term company vision.
Design and oversee scalable, reliable system architecture across image processing, AI model serving, and data pipelines.
Remove bottlenecks to improve development velocity and overall engineering efficiency.
Drive hiring, mentoring, career development, and a culture of ownership and excellence.
Roll up your sleeves when needed and set the standard for hands-on technical leadership.
Enforce engineering best practices across code quality, CI/CD, testing, deployment, and observability.
Partner closely with Product, AI/ML, and Design teams to translate business needs into technical solutions.
Make key technology decisions and evaluate new tools, frameworks, and services.
Define and track engineering KPIs to ensure system performance, uptime, and team productivity.

Required Engineering Manager - Collection Engineering (Data Protection Team)
What Are We Looking For?
Were looking for people who are relentlessly curious and committed to continuous learning. AI is reshaping every function across our business, and we enable every team member, regardless of role or level, to build fluency in AI tools and concepts. Those who thrive here actively seek out new solutions, experiment thoughtfully, and apply what they learn to drive better, faster, smarter outcomes.
As an Engineering Manager you will be responsible to build and lead a new team focused on next-generation Data Protection capabilities. This is a high-impact, hands-on role requiring strong technical leadership across multiple domains, alongside people management and product vision. You will define the technical direction, contribute to building initial components, and establish a high-performing, cross-functional team. This role offers the opportunity to shape both the product and team from the ground up.
What will you Do?
Build and Lead the Team: Recruit, mentor, and manage a team of 3-6 engineers, fostering a culture of technical excellence, accountability, and innovation.
Drive Full-Stack Technical Delivery: Own the end-to-end architecture and technical design for the entire product stack. From the creation of low-level agent components to the web application controlling it, and overseeing the delivery of the entire product ecosystem.
Product & Cross-Functional Partnership: Collaborate closely with Product Management, UX Design, and multiple R&D teams to translate high-level and long-term vision into an executable product roadmap and technical specifications.

We are looking for an experienced Director of Engineering to lead a large, highly technical engineering organization (50+ engineers) responsible for end-to-end development of our companys platform.
This role combines people leadership, technical vision, and product partnership. You will own the full lifecycle of multiple enterprise-grade services.
You will be a key partner to Product Management, driving technology strategy, shaping product vision, and building scalable, resilient, and best-in-class security architecture at cloud scale.
Responsibilities: 
Lead and scale a 50+ engineer organization, including group managers and senior technical leaders, responsible for planning, building, and operating our companys platform
Recruit, mentor, and develop engineering managers and senior engineers, building a high-performance, inclusive, and growth-oriented culture
Own the technical vision and architecture of end-to-end security services, including:
High-throughput, low-latency runtime traffic processing
Cloud-native microservices and APIs
Web-based configuration, policy management, analytics dashboards, and alerting systems
Drive enterprise-grade architecture for large-scale, multi-tenant SaaS systems with strict requirements for availability, performance, and security
Act as a thought leader for new technologies, security capabilities, and architectural evolution within the organization
Partner closely with Product Management to define roadmaps, influence product strategy, and translate business needs into technical execution
Collaborate across engineering, operations, automation, and support teams to deliver integrated, reliable solutions at scale
Establish and own a strong quality culture, including engineering best practices, testing strategy, production readiness, and continuous improvement to ensure enterprise-grade reliability, security, and customer trust
Own delivery and operational excellence: quality, scalability, observability, and continuous improvement in production
Participate in the broader engineering leadership team, contributing to cross-company initiatives and long-term strategy Foster a culture of ownership, transparency, technical excellence, and continuous learning.

we are looking for a Engineering Team Lead .
As an Application Infrastructure Team Lead, youll spearhead the development of the core frameworks and services that power our entire ecosystem. In this role, youll sit at the vital intersection of application development and systems engineering, ensuring our platform remains resilient, high-performing, and developer-friendly as we scale.
If you are a technical heavyweight who loves Java but thrives on leading teams through complex data and infrastructure puzzles, this is your opportunity to build the foundation for our next phase of growth.
Youll Own:
Team leadership & mentorship: Guiding a high-performing engineering team and fostering a culture of ownership and excellence.
Core application infrastructure: Designing and maintaining mission-critical frameworks using Java and Spring Boot.
Technical standards: Defining and enforcing the benchmarks for code quality, system performance, and security across the entire stack.
Streaming & messaging pipelines: Owning the reliability and scalability of asynchronous communication using Kafka or SQS.
Youll Solve:
Data layer optimization: Leading specialists to tackle challenges in high availability and performance across PostgreSQL, MongoDB, OpenSearch, and Redis.
Distributed systems complexity: Designing robust pipelines for asynchronous communication and data streaming at scale.
Architecture gaps: Bridging the gap between DevOps and Product teams to align infrastructure capabilities with evolving business needs.

Required xEngineer (ai-native software engineer)
makes it possible for anyone to succeed online. since 2006, weve grown to around 5,500 employees in 22 countries, launched over 40 products, and serve over 243 million users and their visitors worldwide. here, we push you to innovate, evolve in non-traditional ways, and collaborate. we operate in small teams that work closely together at a high level.
although were already industry leaders in web creation and business, our work is nowhere near done. our goal is to become the main engine of the internet so we can create a more open web for all.
we're proud to be an equal opportunity employer. the company was built around the idea that everyone has the right to be successful, online. this same vision defines us as an employer: creating a work environment where everyone is welcome, and anyone has the right to succeed.
as an xEngineer, youll combine deep technical expertise with system -level thinking and product ownership, applying ai across the development lifecycle to build impactful systems, make thoughtful architectural decisions, and drive technical excellence from idea to production. in your day-to-day, you will:
design and own end-to-end systems and features that serve millions of users, taking responsibility across stack boundaries - from product flows and User Experience to apis, data models, and production systems
apply ai-powered tools and workflows across planning, design, implementation, testing, debugging, and refactoring
work with modern technologies and platforms (e.g., typescript, React, Node.js, JAVA, cloud, and ci/cd), continuously evolving your toolkit with ai-powered tools
lead architectural thinking by making thoughtful trade-offs around scalability, reliability, security, performance, and maintainability
collaborate closely with product managers, designers, and engineers to shape solutions while ensuring production quality, observability, and long-term system health
at the company, we believe our best work happens together. our work model is fully in person, with 5 days a week from our office. flexibility remains a core value at the company and special requests are handled thoughtfully at the team level.
we are engineering at the company - a team of ai-native xengineers with deep expertise in frontend, backend, or mobile, who use ai support to take ownership over projects end-to-end. we work in a fast-paced, dynamic development environment with autonomous teams that never compromise high quality standards. as ai increasingly generates production code, we dedicate more and more of our time developing the skills we believe are critical for today and tomorrow: system design, architecture, scalability, reliability, and security.

Were hiring a Machine Learning Engineering Manager to guide and grow a high-impact ML team driving AI-powered innovation across Stamplis 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 our 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.

We are looking for an experienced data Engineering team leader In this role, you will lead and strengthen our data Team, drive innovation, and ensure the robustness of our data and analytics platforms.
A day in the life and how youll make an impact:
* Drive the technical strategy and roadmap for the data engineering function, ensuring alignment with overall business objectives.
* Own the design, development, and evolution of scalable, high-performance data pipelines to enable diverse and growing business needs.
* Establish and enforce a strong data governance framework, including comprehensive data quality standards, monitoring, and security protocols, taking full accountability for data integrity and reliability.
* Lead the continuous enhancement and optimization of the data analytics platform and infrastructure, focusing on performance, scalability, and cost efficiency.
* Champion the complete data lifecycle, from robust infrastructure and data ingestion to detailed analysis and automated reporting, to maximize the strategic value of data and drive business growth.

We are looking for an experienced Data Engineering Team Leader.
In this role, you will lead and strengthen our Data Team, drive innovation, and ensure the robustness of our data and analytics platforms.
A day in the life and how youll make an impact:
Drive the technical strategy and roadmap for the data engineering function, ensuring alignment with overall business objectives.
Own the design, development, and evolution of scalable, high-performance data pipelines to enable diverse and growing business needs.
Establish and enforce a strong data governance framework, including comprehensive data quality standards, monitoring, and security protocols, taking full accountability for data integrity and reliability.
Lead the continuous enhancement and optimization of the data analytics platform and infrastructure, focusing on performance, scalability, and cost efficiency.
Champion the complete data lifecycle, from robust infrastructure and data ingestion to detailed analysis and automated reporting, to maximize the strategic value of data and drive business growth.

Were looking for an experienced Director of Software to lead our full-stack engineering teams and own the strategy, architecture, and delivery of our web platform. Youll set technical direction (front end and back end), scale microservices, and coach high-performing teams shipping secure, reliable, and beautiful web experiences.
A day in the life and how youll make an impact:
Lead & grow teams: Manage, mentor, and hire full-stack squads (TLs, and ICs). Drive career development, 1:1s, and performance culture.
Set architecture: Define a modern Angular front-end architecture and Node.js/TypeScript back end across microservices (APIs, gateways, shared libraries).
Own the roadmap: Partner with Product/Design to prioritize outcomes; translate business goals into engineering plans with measurable impact.
Raise the bar: Establish coding standards, design reviews, and SDLC best practices (testing, CI/CD, trunk-based development).
Operational excellence: Own availability, latency, and cost KPIs; implement observability (logs, metrics, traces) and incident response.
Security & compliance: Champion secure coding, authN/Z, data privacy, and dependency governance.
Quality at scale: Drive test strategy (unit/integration/e2e), performance budgets, accessibility, and responsive UX standards.
Technical sponsor: Guide system design (caching, queues, messaging, data contracts), decompose monoliths, and oversee migrations.
Stakeholder management: Communicate trade-offs and delivery plans to execs; align cross-functionally with Data and Infra.

We are looking for a Staff Engineer who will act as a technical owner and multiplier-driving architecture, influencing the roadmap, and ensuring our APM platform remains robust, scalable, and easy to adopt and our customers grow.
Staff Engineers are expected to deliver impact through technical leadership, not just individual contribution. This role offers the opportunity to shape a foundational observability product used at massive scale.
operates as a hybrid workplace, valuing in-person collaboration while supporting work-life balance.
What Youll Do:
Own major technical areas of the zero-instrumentation APM system, from design through long-term evolution and operational maturity
Define and drive architecture for kernel-level traffic capture, L7 protocol decoding, and metric extraction using eBPF and Go
Lead high-impact initiatives addressing protocol parsing, TLS visibility, kernel compatibility, and performance at scale
Set technical direction and standards for reliability, performance, and maintainability across the team
Partner cross-functionally with Agent, Tracing, Security, Runtime, and Product teams to align on system design and roadmap priorities