דרושים » הנדסה » Senior Software Engineer (Real-Time Systems)

Were looking for a hands-on Edge Software Engineer to join our Innovation Team and build the software backbone that connects prototype AI perception to operational deployment. This is a mid-to-senior level role focused on reliability at the edge. Youll own communication and synchronization across distributed platforms, design robust runtime architectures, and package perception pipelines into production-grade modules built for harsh real-world constraints.

This isnt a narrow backend job - its an opportunity to build the next generation of AI-powered maritime infrastructure from the ground up, with full ownership and impact, alongside the most innovative team in the most advanced company in this space.

What Will You Do?
Architect and implement containerized edge pipelines (Docker, DeepStream/Triton) for Jetson and x86.
Design and implement the edge comms stack (sync, heartbeat, telemetry).
Lead cross-functional integration with algorithm, product, and field teams.
Own the end-to-end integration of AI models into embedded systems.
Drive profiling, debugging, and performance tuning in constrained environments.
Support hardware-software integration in both lab and vessel environments.
Contribute to strategic innovation rollouts and project qualifications.

We are seeking an experienced Solutions Data Engineer who possess both technical depth and strong interpersonal skills to partner with internal and external teams to develop scalable, flexible, and cutting-edge solutions. Solutions Engineers collaborate with operations and business development to help craft solutions to meet customer business problems.
A Solutions Engineer works to balance various aspects of the project, from safety to design. Additionally, a Solutions Engineer researches advanced technology regarding best practices in the field and seek to find cost-effective solutions.
Job Description:
Were looking for a Solutions Engineer with deep experience in Big Data technologies, real-time data pipelines, and scalable infrastructure-someone whos been delivering critical systems under pressure, and knows what it takes to bring complex data architectures to life. This isnt just about checking boxes on tech stacks-its about solving real-world data problems, collaborating with smart people, and building robust, future-proof solutions.
In this role, youll partner closely with engineering, product, and customers to design and deliver high-impact systems that move, transform, and serve data at scale. Youll help customers architect pipelines that are not only performant and cost-efficient but also easy to operate and evolve.
We want someone whos comfortable switching hats between low-level debugging, high-level architecture, and communicating clearly with stakeholders of all technical levels.
Key Responsibilities:
Build distributed data pipelines using technologies like Kafka, Spark (batch & streaming), Python, Trino, Airflow, and S3-compatible data lakes-designed for scale, modularity, and seamless integration across real-time and batch workloads.
Design, deploy, and troubleshoot hybrid cloud/on-prem environments using Terraform, Docker, Kubernetes, and CI/CD automation tools.
Implement event-driven and serverless workflows with precise control over latency, throughput, and fault tolerance trade-offs.
Create technical guides, architecture docs, and demo pipelines to support onboarding, evangelize best practices, and accelerate adoption across engineering, product, and customer-facing teams.
Integrate data validation, observability tools, and governance directly into the pipeline lifecycle.
Own end-to-end platform lifecycle: ingestion → transformation → storage (Parquet/ORC on S3) → compute layer (Trino/Spark).
Benchmark and tune storage backends (S3/NFS/SMB) and compute layers for throughput, latency, and scalability using production datasets.
Work cross-functionally with R&D to push performance limits across interactive, streaming, and ML-ready analytics workloads.
Operate and debug object store-backed data lake infrastructure, enabling schema-on-read access, high-throughput ingestion, advanced searching strategies, and performance tuning for large-scale workloads.

Were looking for a Senior Fullstack Engineer to join our Unified Analytics Team, which builds an AI-driven product that turns raw data into meaningful insights for our customers.
This is a backend-focused role with ownership of system design, data enablement, and end-to-end development. Youll build and automate backend services across a broad tech stack, design scalable data workflows, and deliver clean, reliable UIs in React to support new features. Youll also help maintain our UI infrastructure and work closely with data analysts to turn requirements into production-ready solutions.
Were seeking someone with a strong blend of Fullstack and Data Engineering experience, who can operate independently in a team of mostly data professionals, and who is comfortable driving a product from architecture through implementation to delivery.

What will you do:
Design and build scalable backend services and system architecture for our Unified Analytics platform.
Develop services and APIs across a broad tech stack (Node.js / Java / Python) that power customer-facing analytics.
Create and optimize data workflows, integrating with tools such as Snowflake, MongoDB, and Kafka.
Implement AI-driven features and automation to enhance customer insights.
Build and maintain React-based UIs, including shared components and UI infrastructure.
Collaborate closely with Product, Data, and Engineering teams to translate requirements into robust, production-ready solutions.
Own features end-to-end-architecture, development, deployment, and ongoing reliability in production.

Were hiring a ML Engineer to accelerate AI-driven innovation across Stamplis B2B SaaS platform.
Youll be at the forefront of building intelligent systems that power core product experiences and automate internal operations, driving efficiency, speed, and scale across the organization. This is a high-impact, hands-on role in a fast-growing, AI-first company where machine learning is a foundational pillar, not a bolt-on feature. You'll partner with product, engineering, and operations teams to design and implement powerful ML and LLM-based solutions that make a measurable difference.
What You Will Do:
Build Intelligent Systems: Design and develop ML/LLM-powered solutions that solve real-world challenges across Stamplis product and internal workflows.
Own Full Lifecycles: Take projects from concept all the way to production, including model training, evaluation, integration, and monitoring.
Leverage State-of-the-Art Tools: Work with leading frameworks like LangChain, Hugging Face, TensorFlow, and PyTorch to deliver cutting-edge functionality.
Collaborate Cross-Functionally: Partner with product managers, engineers, and stakeholders to embed AI capabilities into user-facing features and backend services.
Ship at Scale: Build and maintain scalable APIs and services, integrating best practices in CI/CD, observability, and cloud infrastructure.
Report with Impact: Share progress, challenges, and results clearly with technical and executive stakeholders.

Were looking for a Full Stack Engineer with a passion for solving tough technical challenges, working across the stack, and building systems that matter. This is your opportunity to work on an advanced, real-world product involving computer vision, edge computing, and scalable cloud architecture.

What Youll Do:
Design and implement robust, scalable components across the software stack.
Take end-to-end ownership of complex features-from concept to deployment.
Collaborate with product managers, system engineers, and AI researchers to build integrated solutions.
Contribute to a high-performance platform that combines real-time sensor data, video analytics, and cloud services.
Build and maintain CI/CD pipelines and automated test frameworks.
Lead with quality-writing clean, testable code and applying TDD principles.
Mentor teammates, share knowledge, and help set best practices across the team.

As a Senior Full-Stack Engineer , youll be at the forefront of building and scaling our product from the ground up. Youll work closely with your team, as well as a product and product designer, to design and implement both the front-end user experience and back-end logic that powers our platform.

Youll play a key role in creating modern UI components, building API services, and contributing to core architectural decisions in a high-impact, low-ego team environment.

What youll do:
Design and implement scalable Senior Full Stack Engineer features and components using NodeJS and React

Build and maintain robust APIs and data pipelines to support the platform

Collaborate closely with product, design, and engineering leadership on architecture and UX

Participate in code reviews, testing, CI/CD, and overall platform improvements

Bring creativity, curiosity, and best practices to everything you build

Were looking for a Tech Lead to join our team in our Tel Aviv office (Hybrid) with deep technical expertise who is excited to lead architecture, delivery, and culture across our Tel Aviv-based R&D team.
This is a hands-on tech lead role focused on owning business-critical products and driving cross-functional execution across design, product, DevOps, and engineering. Youll lead by example - mentoring others, delivering scalable systems, and owning reliability, performance, and velocity across your domain. Hybrid work is available.
Responsibilities:
This role involves approximately 70% backend development and 30% frontend, with a strong emphasis on building scalable backend systems.
Drive cross-functional technical initiatives and own end-to-end delivery of critical product features using a JavaScript-centric stack (Node.js, React, Next.js, TypeScript).
Guide the team through design reviews, technical tradeoffs, refactoring, software quality improvements, and long-term architectural planning.
Set technical direction for the team while aligning with company-wide product and architecture goals.
Multiply the impact of the team: mentor engineers, promote best practices, and raise the technical bar across the board.
Collaborate closely with Product, UX, QA, and other engineers to turn business goals into scalable systems.
Lead and mature CI/CD processes, DevOps collaboration, deployment automation, and cloud-native infrastructure practices.
Take ownership of production health: drive the culture and systems for monitoring, observability, and fast recovery from incidents.
Lead post-incident reviews, improve telemetry, and drive systemic fixes that improve reliability and developer feedback loops.

We are looking for an experienced Senior Backend Engineer to join our Browse Management Core team.

As part of our core team, youll design and implement high-impact backend services, collaborate with frontend, DevOps, and product teams, and play a key role in shaping the next generation of Browse Management architecture.

Youll help build and evolve the backend infrastructure that powers our cloud-native security platform, delivering advanced protection, observability, and scalability at global scale.

If youre passionate about solving complex backend challenges, scaling distributed systems, and driving innovation in cybersecurity, this is the place for you.

Key Responsibilities
Design, develop, and maintain cloud-native backend services supporting a large-scale SaaS security platform.
Build scalable, secure, and resilient architectures using modern AWS services (EKS, ECS, EC2, RDS, SQS, CloudFront, IAM).
Develop and optimize RESTful and event-driven APIs, backend integrations, and data flows.
Work in a microservices-based environment, ensuring high availability, observability, and performance.
Collaborate closely with frontend, DevOps, and product teams to deliver end-to-end solutions.
Implement monitoring, alerting, and reliability best practices for production environments.
Write clean, maintainable, and testable code, contributing to best practices and design standards.
Participate in architecture and design reviews, influencing the technical direction of the platform.

we are looking for a Senior Fullstack Engineer, Platform.
As a Senior Full Stack Engineer on this team, youll work across the stack: designing robust backend services and building polished, data-driven UIs that help customers and internal stakeholders get value quickly.
What You'll Do:
Own end-to-end features across backend and frontend - from technical design and implementation to deployment and monitoring.
Design, implement, and maintain scalable microservices and event-driven architecture.
Build modern, high-quality web frontend experiences that expose subscription and usage data to customers and internal teams in a clear, actionable way.
Collaborate with cross-functional teams (Product, Data, CS, other engineering teams) to design systems that support product-led growth and business goals.
Contribute to platform and architecture decisions, ensuring our systems are reliable, observable, and easy to evolve.
Simplify integrations, workflows, and the overall developer experience to significantly reduce the Mean Time to Value (MTTV) for both internal teams and customers.
Write clean, testable, and maintainable code, and perform thoughtful code reviews for peers.
Take ownership of production - including monitoring, troubleshooting, and continuously improving performance, reliability, and cost.
Design and maintain asynchronous flows using queues as part of our event-driven architecture.

It starts with you - an engineer driven to build modern, real-time data platforms that help teams move faster with trust. You care about great service, performance, and cost. Youll architect and ship a top-of-the-line open streaming data lake/lakehouse and data stack, turning massive threat signals into intuitive, self-serve data and fast retrieval for humans and AI agents - powering a unified foundation for AI-driven mission-critical workflows across cloud and on-prem.
If you want to make a meaningful impact, join mission and build best-in-class data systems that move the world forward - this role is for you.
:Responsibilities
Build self-serve platform surfaces (APIs, specs, CLI/UI) for streaming and batch pipelines with correctness, safe replay/backfills, and CDC.
Run the open data lake/lakehouse across cloud and on-prem; enable schema evolution and time travel; tune partitioning and compaction to balance latency, freshness, and cost.
Provide serving and storage across real-time OLAP, OLTP, document engines, and vector databases.
Own the data layer for AI - trusted datasets for training and inference, feature and embedding storage, RAG-ready collections, and foundational building blocks that accelerate AI development across the organization.
Enable AI-native capabilities - support agentic pipelines, self-tuning processes, and secure sandboxing for model experimentation and deployment.
Make catalog, lineage, observability, and governance first-class - with clear ownership, freshness SLAs, and access controls.
Improve performance and cost by tuning runtimes and I/O, profiling bottlenecks, planning capacity, and keeping spend predictable.
Ship paved-road tooling - shared libraries, templates, CI/CD, IaC, and runbooks - while collaborating across AI, ML, Data Science, Engineering, Product, and DevOps. Own architecture, documentation, and operations end-to-end.