דרושים » ניהול ביניים » Full Stack Engineer - Big Data Platform

As a developer on the Big Data Platform, you will be a part of the outstanding group that builds intelligent data infrastructure, directly powering context-aware AI models and autonomous workflow automation. We are looking for people who look at engineering differently-people who are passionate about scaling AI-ready data layers, optimizing real-time context streaming, and leading the smart platform solutions they envision. If you are passionate about developing a cutting-edge data foundation that drives conversational AI execution across enterprise applications, making a massive impact, and striving to work with the industrys best talent
What will you actually be doing?
End to end development of features and systems that are used daily by key stakeholders, both internally and externally

A technical focal point for software development best practices and design of main components, services and systems.

Explore, implement, and introduce cutting-edge technologies and innovative ideas.

We are looking for people who are passionate about leading technology to the extreme. If you are striving to develop an innovative product, make an impact, and work with the industrys brightest talent as part of one of the fastest-growing and successful startups around


What will you actually be doing?
End to end development of features and systems that are used daily by key stakeholders, both internally and externally.

A technical focal point for software development best practices and design of main components, services and systems.

Integrate AI into the company applications.

Improve development workflow with AI capabilities.

Be part of an organic team developing in a fast paced environment based on CI/CD.

Investigate, implement and share new technologies and ideas.

We are looking for people who are passionate about leading technology to the extreme. If you are striving to develop an innovative product, make an impact, and work with the industrys brightest talent as part of one of the fastest-growing and successful startups around

What will you actually be doing?
End to end development of features and systems that are used daily by key stakeholders, both internally and externally.

A technical focal point for software development best practices and design of main components, services and systems.

Integrate AI into the company applications.

Improve development workflow with AI capabilities.

Be part of an organic team developing in a fast paced environment based on CI/CD.

Investigate, implement and share new technologies and ideas.

We are looking for a top-notch Senior Full Stack Engineer who will work on our next first-to-market AI-powered products and create elegant solutions using the latest technologies. This position will be based in our R&D office in the heart of Tel-Aviv.

In this role, you will be responsible for designing, developing, and maintaining end-to-end (client and server) features and web applications. You will work closely with our design, product, and AI teams to translate complex requirements into intelligent, user-friendly experiences powered by data and automation.

As part of growing AI initiatives, you will help build products that leverage LLMs, AI agents, and advanced analytics to deliver actionable insights for marketers at scale. You will have the opportunity to work on innovative AI-driven experiences, integrate modern AI infrastructure and tools, and shape how customers interact with and understand their data.

We deeply encourage our engineers to develop a deep understanding of our industry, our customers, and emerging AI technologies, while continuously growing their engineering skills. You will also have the chance to work in one of the most professional R&D teams in the startup community and grow professionally.
Key Responsibilities


Build and maintain backend services responsible for integrating with a wide variety of APIs, webhooks, and partners.

Design, develop, and own integration flows end-to-end: architecture, implementation, deployment, and monitoring.

Work on data pipelines handling large volumes of streaming and batch data with high reliability and low latency.

Ensure data accuracy and consistency across ingestion, transformation, and storage layers.

Collaborate with product, data engineering, and customer-facing teams to understand edge cases, resolve production issues, and improve partner integrations.

Take ownership of features and systems while proactively identifying gaps and driving improvements.

Integrate and leverage industry technologies such as Kafka, Iceberg, DynamoDB, Postgres, EMR, Kubernetes, Druid, Snowflake, and more.

We're looking for an AI Engineer who is equal parts builder, enabler, and visionary.
This is a rare opportunity to join a small, elite team at the ground floor and have outsized impact on how AI is designed, built, and shipped across a globally recognized cybersecurity platform.
If you thrive at the intersection of cutting-edge AI research and real-world production systems and you want your fingerprints on something that matters - read on.
Why Join Us?
Greenfield opportunity - you're not joining a mature team with fixed patterns, you're helping define them.
Real impact at scale - your work will influence products used by thousands of organizations worldwide.
A team of great people - small, senior, and genuinely collaborative.
Freedom to innovate - we encourage bold ideas, fast experiments, and honest feedback.
our company's AI moment - AI is a company-wide strategic priority, and this group is at the center of it.
*we are an equal opportunity employer committed to diversity and inclusion.
Key Responsibilities
What You'll Do:
Build AI infrastructure - Design and develop the foundational tools, frameworks, and pipelines that power the group's AI capabilities, with a focus on LLMs and Generative AI.
Enable AI across the team - Act as the group's AI enablement engine: establish best practices, create internal tooling, and uplift teammates to work effectively with AI systems.
Own AI agents & agentic workflows - Design, implement, and iterate on autonomous agents and multi-step AI pipelines integrated with a variety of tools and environments.
Bring AI to production - Take models and capabilities from prototype to production-grade systems - reliable, scalable, and observable.
Shape the big picture - Contribute to the group's AI strategy, not just its execution. We want someone who asks "why" before diving into "how."
Stay ahead of the curve - Continuously research and evaluate emerging AI techniques, models, and tools - and bring what's relevant back to the team.
Collaborate and communicate - Write clearly. Think clearly. Work closely with researchers, engineers, and product stakeholders to align on goals and drive outcomes.

We are looking for a Senior Full-Stack Engineer who is passionate about building high-quality products, solving complex technical challenges, and delivering experiences that make a meaningful impact on people's lives. You will partner closely with Product, Design, Data Science, and Engineering teams to take products from concept to production while helping shape the future of our platform.

You will join an experienced engineering organization building products used by people around the world, working in an AI-augmented development environment that embraces modern tools to accelerate delivery, improve code quality, and increase engineering effectiveness.

Our Technology Stack: React Native, React, TypeScript, Redux, Scala, Play Framework, Microservices, AWS, Docker, Kubernetes, MongoDB, Redis, PostgreSQL, Spark, Elasticsearch, Kafka, and more.

Responsibilities
Build and deliver scalable, reliable, and maintainable software that powers products used daily by members around the world.
Design and develop frontend and backend solutions with a focus on performance, scalability, and user experience.
Create reusable frontend architecture, components, and engineering patterns that improve development velocity and consistency.
Partner with Data Science teams to integrate algorithms and data-driven capabilities into new and existing products.
Collaborate closely with Product Managers, Designers, Data Engineers, and fellow engineers throughout the full product development lifecycle, including discovery, design, implementation, experimentation, and iteration.
Take ownership of projects from technical design through production deployment and ongoing optimization.
Contribute to architectural decisions and continuously improve engineering standards, processes, and platform capabilities.
Leverage AI tools throughout the software development lifecycle to accelerate development, improve code quality, and increase team productivity while maintaining strong engineering judgment.

we are on a mission to make sure that service providers and businesses get paid on time, and effortlessly.
we are redefining how businesses do business. Our unique technology takes the manual, repetitive, time-consuming, and error-prone work everyone has to do to get paid and turns it into pure pleasure. We free people from the things they have to do so they are able to focus on the things they want to, the work they enjoy: taking their businesses to the next level or just finally being able to take a well-deserved day off. Heres just one example of what they have to say:
Its one of those things of - why didnt somebody come up with this before? Its yeah, its a game changer. There are a few tech things that Ive added that I will never let go of. And you guys are one of em. - K.R.
If youre passionate about innovation, high-quality engineering, and testing, excited to be at the forefront of change, and ready to make your mark in the Fintech industry, we are the place for you. As a member of our engineering team, you will have a significant impact on the product and the company. Were looking for individuals who are not just hungry for success but also love what they do.
Join us and be a core part of our departments growth and innovation.
Responsibility
Plan, implement, and take full ownership of core features, ensuring the successful completion of the entire development cycle from design to deployment
Lead architectural decisions and create comprehensive implementation plans to ensure scalable and secure feature delivery.
Orchestrate parallel development streams to maintain high velocity across multiple branches and complex pull requests.
Drive technical excellence by proactively exploring and sharing new technologies, AI tools, and libraries to continuously improve code quality, build performance, and system scalability.
Collaborate with cross-functional teams to contribute to high-level system design and product strategy.
Create and integrate user interfaces from scratch, ensuring intuitive, high-performance, and responsive designs.
Contribute to back-end logic in NodeJS servers and monitor/fix production issues as they arise.

MA?LYS is a fast-growing global body care brand, built on a proprietary e-commerce platform, deep consumer insights, and a relentless focus on performance. Millions of women worldwide use our products, and we are on a mission to become one of the most influential body care brands globally.
We operate at extreme velocity, with high standards and an obsession with results. We believe in challenging conventional thinking, making data-driven decisions, and moving quickly from idea to execution.
We are looking for a Head of AI to build and lead MA?LYS' AI transformation journey, serving as a rare opportunity for a highly strategic and deeply hands-on builder who thrives at the intersection of business, technology, and execution. In this role, you will have the ultimate playground to shape how our entire company operates, influence every major function, and create a lasting competitive advantage for a leading body care brand. Initially operating as an individual contributor partnering closely with the CEO and the Management Team. Over time, you will transition to build and lead a small, high-performing team as AI becomes an increasingly critical capability across our global e-commerce and retail operations.
To thrive in our high-pace environment, you must think like an owner, not a consultant, and be equally comfortable discussing macro business strategy with executives as well as writing code to solve a messy problem yourself. You are someone who embraces ambiguity, enjoys building from scratch, and is completely obsessed with execution. You possess the high emotional intelligence and empathy required to collaborate with non-technical stakeholders and build trust, yet you maintain the thick skin, resilience, and great sense of humor needed to handle direct communication and rapid structural pivots. Most importantly, you maintain an uncompromising commitment to quality and process improvement, ensuring that every automation or workflow you deploy actively drives our core business metrics forward without requiring hand-holding or constant reminders.
Your life at MA?LYS will look like…
* Define and lead the company's AI strategy and execution roadmap.
* Identify the highest-impact opportunities for AI across all business functions.
* Prioritize initiatives based on measurable business value, speed of implementation, and scalability.
* Design, build, deploy, and continuously improve AI-powered workflows, tools, automations, and agents.
* Translate business challenges into practical AI solutions that improve performance, efficiency, and decision-making.
* Develop production-ready applications and workflows using modern AI technologies, APIs, agents, and automation frameworks.
* Drive adoption and behavioral change across teams.
* Partner directly with business leaders to identify opportunities and implement solutions.
* Evaluate emerging technologies, models, vendors, and platforms.
* Establish governance, standards, architecture, and best practices for AI development.
* Define and track success metrics for every AI initiative, ensuring measurable impact on growth, productivity, speed, efficiency, or cost.
You will thrive in this role if you have…
* Strong technical foundation in Computer Science, Software Engineering, Data Science, or a related field.
* 5+ years of experience building technology, data, AI, automation, or software solutions in high-performance environments.
* Proven experience identifying business opportunities and translating them into deployed AI products, agents, automations, or workflows that drive measurable business impact.
* Hands-on experience working with modern generative AI technologies, LLMs, agent frameworks, APIs, embeddings, automation platforms, and production deployments.
* Strong proficiency in Python, SQL, APIs, and data-driven application development.
* Deep understanding of business operations, growth metrics, p

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