דרושים » תוכנה » Senior Software Engineer

How do R&D teams look like in our company?
our company R&D teams are running as separate squads, each executing on their own goals and focusing on their products. We do sprints, working to create a fast impact.
Our squads are small (3-5 people) and work closely with product managers and designers to bring changes to life.
We are as Full Stack as we can, not afraid to touch and change whats needed to get the needle moving. Frontend, Backend, Devops, Quality and more. We do it all and we own what we do.
We work together. We use each other to be better and move faster.
Why should I work at our company?
You will build new things and improve on products that reach millions of customers.
You will learn how to start up -
Data based decision making.
Learn from companys experience launching multiple products.
You will work with other senior engineers and keep growing together with them.
You will use technology to create great experiences for customers.
What's life at our company like?
We built the company the way we build products. We aim to have the best experience for our employees. We created a great working environment for employees. We care deeply about each other and what we do. We make data-based decisions on how our culture should look, gathering as much feedback as possible from employees and striving to build the best experience for all. We ensure whoever joins us shares our vision and our way of operating.

we are building the technical layer that brings AI-native code quality into real engineering workflows. As our partnership ecosystem grows, were looking for a principal-level engineer to turn strategic integrations into shipped products.
In this role, youll be a technical visionary and builder. You will design and implement the next generation of Model Context Protocol (MCP) servers, APIs, and platform integrations for key strategic partners like cloud providers, Anthropic, Cursor, and OpenAI. This is a high-leverage role where your expertise will directly shape how our company- the missing quality-focused system-plugs into the complex, autonomous, multi-agent development environments of tomorrow.
Ideal for someone who thinks deeply about developer experience, moves fast, and enjoys building technical infrastructure that scales through partnerships.
Mission: Make our company unavoidable across the Agentic SDLC. Own the integration playbook that brings our company into every critical developer surface - IDEs, repos, CI/CD, code review, cloud platforms, and the AI agents shaping how software gets built. Build the technical layer that turns our company into the default quality, governance, and trust gate across the SDLC, translating cutting-edge research into integrations that scale, ship, and become embedded in how teams work.
Responsibilities
Wrap our companys capabilities as a public, composable surface. Turn our company Review, Aware, and Skills into clean, documented building blocks that any partners engineering team can adopt without hand-holding. Treat the public API, SDK, and MCP surface as a product - versioned, stable, well-documented, and obsessively focused on DX.
Be the engineering counterpart on partner conversations. Sit shoulder-to-shoulder with the Product Partnerships Lead in partner discussions. Translate ambiguous we want to integrate conversations into concrete technical scopes, integration paths (MCP vs. SDK vs. API), and shipping timelines. Be credible enough that a partners principal engineer takes the conversation seriously the first time.
Ship marketplace and cloud integrations. Own the technical execution behind cloud marketplace launches (AWS, Azure, GCP) - deployment artifacts, SaaS metering, private offer plumbing - so the commercial motion is never bottlenecked by engineering.
Define the integration playbook. Make the path from new partner interested to integration live repeatable. Document the patterns, build the reusable primitives, and reduce the per-partner engineering cost over time so the team can scale partnership volume without scaling headcount linearly.
Hold the DX bar across every partner-facing surface. Docs that work the first time. SDKs that dont surprise. Errors that explain themselves. Examples that run. If a partners engineer cant get to hello world in 15 minutes, thats on you.

Were looking for exceptional Senior Engineers who take full ownership of their work-from technical design through implementation and into real-world usage. This is a hands-on role for individuals who bring strong engineering fundamentals, curiosity across the stack, and a high standard for quality and reliability.
Youll join a team that values autonomy, deep thinking, and the ability to navigate both frontend and backend challenges. We expect engineers to care about how their systems behave in production-not just whether they compile-and to help build reliable, scalable software that stands up to real-world demands.
What Youll Do
Design, implement, and ship end-to-end features spanning web, mobile, backend, and infrastructure layers
Tutor, guide and help to nurture a culture of technical excellence throughout the development organization
Own your code through its lifecycle-from spec and architecture to deployment, monitoring, and evolution
Investigate and resolve issues that arise in staging or production, and help build tools that make doing so easier
Work closely with product and design to define technical solutions that deliver real user impact
Improve system architecture, performance, and development practices over time
Collaborate with peers through code reviews, design discussions, and shared ownership of technical quality

we are building an AI Execution Platform for real estate organizations. Today, the data required to run real estate is scattered across PDFs, spreadsheets, emails, drawings, public records, and disconnected systems, leading to preventable leakage, missed obligations and lost opportunities to improve performance.
Used by leading enterprises, our company converts this fragmented data into connected intelligence and automated action. With advanced AI, universal ingestion, and modular execution agents, our company increases operational accuracy, uncovers financial discrepancies, and surfaces opportunities to optimize performance and enhance business outcomes.
our company Values
Ownership: We take responsibility and move decisively.
Clarity: We simplify complexity to deliver meaningful impact.
Accuracy: Precision matters, in our product and in how we operate.
Velocity: We work with urgency and intent.
Partnership: We collaborate closely with our customers and with each other.
Build & Design
Develop end-to-end product features using a modern stack: Node.js (TypeScript), Angular, Python, LangGraph, Postgres, and AWS CDK. As a Tech Lead here, you wont just integrate AI models - youll help create the AI agents, tools, and capabilities themselves. Youll work on the most impactful AI capabilities, whether for smarter features, better workflows, or more personalized usage. Were always building whats next, not whats already crowded. Youll own solutions from database to UI, shipping real value, not just tickets.
Architect the Future
Take part in high-level architectural decisions, technical research, and design. Youll help shape scalable, robust, and forward-thinking systems that can grow with our customers and our product vision.
Collaborate with Purpose
Work directly with customers, stakeholders, and internal teams to build a seamless, intelligent platform experience. Youll translate real needs into elegant, reliable software that makes a tangible impact.
Lead & Mentor
Lead and mentor engineers while cultivating a culture of excellence and knowledge-sharing. Youll raise the bar on engineering standards through code reviews, design sessions, and hands-on collaboration.
Optimize & Innovate
Continuously improve platform performance, scalability, and maintainability, while staying ahead of industry trends. Bring fresh ideas into the product and drive innovation that moves the company forward.

Were launching a new Financial Infrastructure team at our company to build the next generation of our payments and platform capabilities from the ground up. This is a founding engineering role in our Tel Aviv office, with significant ownership, autonomy, and technical influence from day one.
Youll design and build foundational systems that power our companys platform, working on high-impact, mission-critical services and helping set the technical bar for the team.
What youll do:
Own features end-to-end - Take ideas from early concept through production. You wont just write code - youll ship real systems, iterate quickly, and see the impact of your work in production.
Think beyond the task - Take initiative, understand the broader system and business context, and help drive both product and technical decisions. This is not a ticket-driven role.
Leverage AI-accelerated development practices - Use modern AI coding tools to improve development velocity, code quality, and testing efficiency while building robust, secure, and scalable infrastructure.
Backend-focused, full-stack mindset - Your core focus will be backend systems, but youre comfortable operating across APIs, data, infrastructure, and DevOps when needed.
Design for scale - Build backend services that are reliable, maintainable, and architected to scale with the platform.

Were launching a new Data & AI team at our company to build AI-first products and foundational platform capabilities from the ground up. This is a founding engineering role in our Tel Aviv office, with ownership and influence from day one.
Youll design and build foundational systems that power the next generation of our companys platform, working on high-impact, customer-facing products and helping set the technical bar for the team.
What youll do:
Own features end to end - take ideas from early concept through production. You wont just write code, youll ship real products, iterate quickly, and see the impact of your work with customers.
Think beyond the task -Take initiative, understand the broader context, and help drive product and technical decisions. This is not a ticket-driven role.
Build AI-powered systems- Use AI where it meaningfully improves product quality, development velocity, or user experience, both in what we ship and how we build.
Backend-focused, full-stack mindset- Your core focus will be backend systems, but youre comfortable working across APIs, data, infrastructure, and DevOps when needed.
Design for scale - Build backend services that are reliable, maintainable, and designed to grow with the platform.

At our company, we create magical physical products that help people love their homes. With easyplant, weve reimagined what plant care can feel like. Smart hardware, self-watering systems, embedded sensors, efficient fulfillment, and a beautifully simple app come together to create a seamless experience.
The easyplant ecosystem spans software, hardware, mobile, logistics, AI, and commerce. We design the products, build the factory tools, ship the boxes, and write the code. Nearly every part of the customer experience is owned in-house, and we see software as a core advantage.
Why this role matters
Were looking for an engineering leader who is both hands-on and product-driven. Someone who thrives on ownership, loves the ambiguity of building something new, and wants to shape systems that create delight at scale.
You will lead the next chapter of easyplants tech evolution. This includes launching our next-generation product, easyplant 2.0 - a fully electronic, sensor-powered version of the self-watering system. easyplant 2.0 will give customers precise insight into water levels, light exposure, and humidity. Its a true IoT product, blending mobile software with embedded hardware, firmware, and real-time data.
Youll also lead the rebuild of our mobile experience, architect internal tools that support global fulfillment, and enable a network of manufacturing sites with no developers on site.
What makes this role special
You will work across layers of technology, from mobile apps and backend systems to embedded sensors and factory dashboards
You will shape the core product, not just its interface, influencing both what we build and how we build it
You will lead the technical effort behind easyplant 2.0, a connected device that blends real-time sensing with beautifully simple UX
You will help build fulfillment systems that operate globally, adapt to complexity, and require zero engineers on site
You will work directly with product, operations, design, marketing, and data to solve high-leverage challenges with speed and creativity.

We're looking for a Software Engineer to join our core engineering team and help build the infrastructure behind one of the fastest-growing AI APIs. You'll work on systems that handle massive scale across a distributed microservices architecture running on AWS. You'll ship fast, take ownership of critical systems, and solve hard infrastructure problems as we grow.

This is a great role for an engineer who loves building ambitious systems from scratch, and wants to tackle the kind of scale and complexity challenges typically reserved for much larger companies.

What Youll Do

Design and build high-performance distributed systems

Design and implement backend infrastructure and API endpoints

Build and optimize real-time data pipelines that process billions of events per day across distributed queues and stream processors

Improve performance, monitoring, and reliability across the stack

Own core systems and contribute to key architectural decisions

Help shape a strong engineering culture focused on velocity and quality

As a Senior Full Stack Engineer, youll take the lead on building close management - a brand-new product were creating from scratch that will reshape how finance teams close their books and become a core engine of our companys growth and scale. Youll also work across our other core product domains, agent workflows and data & network. That spans the intelligent agents that do the work for finance teams, the products that help businesses close their books faster and with more control, and the data and network layer that connects it all together. Youll move fluidly between front-end and back-end, owning features end-to-end across whichever of these domains needs you most.
Key Responsibilities
Own features end-to-end - Take ideas from early concept through production across agent workflows, close management, and data & network. You wont just write code - youll ship real systems, iterate quickly, and see the impact of your work in production.
Build best-in-class UX and UI - Design state-of-the-art user experiences and interface flows for our new applications. Front-end craft is central to this role, not an afterthought to back-end work.
Work across the full stack - Move comfortably between front-end interfaces and back-end services, APIs, and data pipelines.
Build across agent workflows, close management, and data & network - Develop the intelligent agents that automate work for finance teams, our brand-new close-management product - built from scratch - that powers a faster and more controlled close, and the data and network infrastructure that connects it all together.
Think beyond the task - Take initiative, understand the broader system and business context, and help drive both product and technical decisions. This is not a ticket-driven role.
Leverage AI-accelerated development practices - Use modern AI coding tools to improve development velocity, code quality, and testing efficiency while building robust, secure, and scalable infrastructure.
Design for scale - Build products and services that are reliable, maintainable, and architected to scale with the platform.

we are looking for a Senior AI Engineer to design and build production-grade, LLM-powered systems. You'll work at the intersection of software engineering and applied AI - shipping agents, RAG pipelines, and tool-using systems that solve real problems at scale. This is a hands-on, high-ownership role for someone who thrives at the frontier of what's possible with modern LLMs and isn't afraid to write the glue, the infrastructure, and the prompts that make it all work.
This is a **cross-functional, company-wide role**. You won't be embedded in a single product team - instead, you'll partner with every department to identify high-leverage opportunities and build AI-powered tools and workflows that boost productivity and efficiency across the entire organization.
This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence.
"our company's data management vision is the future of the market."- Forbes
we are the data platform company for the AI era. We are building the enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets and make them available for real-time data analysis and AI training and inference. Designed from the ground up to make AI simple to deploy and manage, our company takes the cost and complexity out of deploying enterprise and AI infrastructure across data center, edge, and cloud.
Our success has been built through intense innovation, a customer-first mentality and a team of fearless workers who leverage their skills & experiences to make real market impact. This is an opportunity to be a key contributor at a pivotal time in our companys growth and at a pivotal point in computing history.
What You'll Do:
- Design, build, and operate LLM-powered applications, agents, and workflows end-to-end - from prototype to production.
- Architect retrieval, context engineering, and tool-use strategies that make models reliable, accurate, and cost-efficient.
- Integrate LLMs with internal services, third-party APIs, and data stores to automate complex business and engineering workflows.
- Build, evaluate, and continuously improve evaluation harnesses for non-deterministic systems.
- Collaborate closely with product, research, and platform teams to translate ambiguous problems into shipped capabilities.
- Stay ahead of the rapidly evolving LLM ecosystem (models, frameworks, agentic patterns) and bring the best ideas into our stack.