לוח משרות דרושים מהנדסים במרכז

A global software company developing cloud computing services for digital media management is looking for a Senior Back-End Engineer.

Join a cross-location team (Poland and Israel) building the cloud-based asset product at scale.

The role includes responsibility for the full development lifecycle - deciding what to build, how to build it, and delivering it end-to-end.



What Youll Do

Become the teams go-to expert on our services and infrastructure
Work closely with product managers to understand goals and deliver impactful features
Maintain high code quality and scalable architecture, collaborating with developers and the architects forum
Use code-generation tools to maximize efficiency
Proactively identify improvements and refine solutions based on customer feedback

A Software company, developing a Cloud Security Platform, is looking for a Senior Cloud Security Software Engineer to join her team.

In this role, youll design and build backend components and security features for a scalable cloud security platform, working closely with product, frontend, and infrastructure teams.



What youll do:

Research and adopt new technologies.
Design and implement cloud security features.
Build MVPs for new product capabilities.
Write clean, efficient Go code.
Design data models and database schemas.
Write unit, component, and integration tests.
Debug and troubleshoot production issues.
Participate in code reviews and contribute to team standards.
Collaborate with frontend and platform teams on end-to-end integrations.
Assist with documentation and occasionally represent the product through blogs or talks.

A global software company in the cyber security and authorization domain are looking for a Senior Frontend Engineer to join their R&D team and take a hands-on role in building end-to-end product features, focusing mainly on React with some backend exposure, while working closely with product, backend, and QA teams in an agile, fast-paced environment.



What will you do:

Frontend development with some backend coding (Java, Go)
Setting and tracking performance via KPIs
Building large-scale, multi-tenant cloud solutions
Working with cutting-edge technologies in a dynamic environment, including mentoring team members

A defense-tech startup, building an AI-powered autonomous systems that connect cameras, sensors, and natural-language interfaces, is looking for a Senior Full Stack Engineer. In this role, youll be one of our first engineers. Youll shape architecture, set engineering standards, and lead the development of real-time, AI-first features for high-stakes environments.



What Youll Do

Lead critical projects end-to-end, from design to deployment, across our stack.
Own system architecture - make foundational decisions that balance speed, scalability, and stability.
Translate complex data and ML outputs into intuitive, reliable user experiences.
Ensure production-readiness, observability, and deployment excellence from day one.
Mentor engineers, set technical standards, and shape our engineering team and processes.
Collaborate tightly with design, product, and ML to deliver seamless, mission-critical experiences.

we are looking for a Technical Support engineer to join us!
The Technical Operations Team acts as a bridge between Customer Support and R&D.
We investigate and analyze issues, escalate bugs to development when needed, and support engineering in reproducing and resolving them.
The team also manages our HubSpot platform and maintains our public API documentation.
We're looking for a hands-on, curious, and resourceful technical support professional to join us!
What you'll do:
Investigate complex tickets and edge cases
Communicate with users and developers working with our API
Collaborate with support, dev, and product teams
Report bugs and help dev teams reproduce them
Manage the HubSpot database and monitor syncs
Maintain and own the public API documentation
Run scripts for HubSpot integrations
Use Databricks and logs to identify and diagnose issues quickly

The Role Were looking for a Mid-Level DevOps Engineer to join our growing team and take part in designing, building, and operating scalable, secure, and automated AWS-based infrastructures. Youll work in a fast-paced environment, using advanced, cloud-native technologies, and have direct interaction with customers - understanding their challenges, designing solutions, and guiding them from architecture to production. Responsibilities Build and manage Infrastructure as Code (IaC) using Terraform Develop and optimize CI/CD pipelines (GitLab CI, GitHub Actions, Jenkins, etc.) Design, deploy, and maintain containerized environments using Docker & Kubernetes (EKS) Design and implement scalable, secure, and cost-efficient AWS architectures Work directly with customers to gather requirements, design solutions, and provide hands-on technical guidance Lead and support cloud modernization projects, including migrations and replatforming Monitor and improve system reliability using observability tools Troubleshoot complex production issues in dynamic, high-velocity environments Apply cloud security best practices (IAM, encryption, networking, compliance)

abra R&D is looking for an AI Engineer! abra R&D is looking for an AI Engineer to help build a next-generation agentic analytics platform, the first real-time database optimized for AI agents at scale. This role focuses on building LLM?powered agents- with a strong emphasis on TypeScript. In this role, you’ll develop agents that perform analytics-oriented tasks, connect to LLMs via a wrapper/SDK/API, and ship robust, production?ready capabilities where the LLM is the core of the system. What You’ll Do
* Build and ship LLM agents in TypeScript end?to?end (logic, workflows, integrations, and supporting services).
* Integrate agents with an LLM wrapper / SDK / API and embed them into product and platform flows.
* Implement and iterate on prompts and agent instructions when needed to improve output quality (nice to have; not mandatory).
* Develop agents that support analytics use cases (e.g., reasoning over data, generating insights, orchestrating tool calls).
* Work closely with engineering and product teams to deliver reliable, maintainable, production?grade agent behavior.

abra R&D is looking for a AI Engineer! abra R&D is looking for an AI Engineer that will take part of building a next-generation agentic analytics platform powered by a real-time, AI-optimized data infrastructure. We are looking for an experienced AI Engineer to design, build, and deploy intelligent systems that operate at scale and in real time. This role is hands-on and product-oriented, focusing on developing, integrating, and productionizing AI and machine learning models as part of a complex, high-performance platform. What You Will Do:
* Design, develop, and deploy AI and machine learning models into production systems
* Build scalable AI services that operate on large-scale and real-time data
* Implement deep learning and machine learning solutions using modern frameworks
* Integrate AI models into end-to-end product flows and backend systems
* Collaborate closely with software engineers and AI teams to deliver production-ready solutions
* Optimize model performance, reliability, and scalability in real-world environments
* Develop and maintain data pipelines and model-serving infrastructure
* Contribute to the evolution of AI-powered, agent-based systems and analytics capabilities

abra R&D is looking for a Senior Embedded Engineer! abra R&D is looking for an Embedded Engineer to help build the first real-time database purpose-built for AI agents at scale. Designed around time-series and unstructured data, it leverages a custom storage format optimized for append-heavy, real-time workloads. Joining the team means working on a high-performance execution engine built with vectorized execution, SIMD, and cache-efficient memory layouts, enabling extreme low-latency and high-throughput performance at scale. The system is engineered to fully utilize modern hardware, with deep optimization across CPU cache layers (L1 / L2 / L3), pushing the limits of real-time data processing. What You’ll Do
* Design and implement core components of the database engine (query engine, execution engine, storage engine)
* Build vectorized execution pipelines optimized for SIMD
* Design and evolve a time-series optimized storage engine (custom on-disk + in-memory formats)
* Work on unstructured / event-driven data representations and efficient indexing/querying strategies
* Own memory layout, compression, and data defragmentation
* Develop cache-aware / cache-efficient data structures with deep understanding of CPU cache behavior
* Implement distributed data primitives: sharding, partitioning, replication, and data locality
* Profile and optimize performance at the CPU level (cache misses, branch prediction, memory bandwidth)

abra R&D is looking for an Algorithms Engineer! abra R&D is looking for an Algorithms engineer who will take part in building the a next?generation agentic analytics platform- a real?time database optimized for AI agents at scale. The product focuses on real?time decision making, causal understanding, and time?series intelligence over large, high?dimensional data streams. This role is about building the algorithmic core of the system- the models and logic that power analytics, forecasting, and decision intelligence in production. What you’ll do:
* Design, develop, and own core algorithms for real?time analytics
* Build causal inference algorithms to model cause?effect relationships and support decision systems
* Develop time?series models for forecasting, anomaly detection, and pattern discovery on real?time data
* Perform algorithmic research: explore approaches, evaluate tradeoffs, and select optimal solutions
* Develop feature engineering and mathematical logic to improve prediction accuracy and stability
* Work with high?dimensional, large?scale, and event?driven datasets
* Define statistical and mathematical methodologies used across the analytics engine
* Integrate algorithms into production systems, with strong focus on performance and reliability
* Design experiments and evaluation frameworks to validate algorithm quality
* Collaborate closely with engineering teams to ensure models run efficiently in real?time environments