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abra is seeking for an experienced AI Engineer We are looking for an engineer to join the infrastructure team and lead the development of systems around Large Language Models (LLM) – in an advanced, stable, and pleasant technological environment. The role includes:
* Building smart, measurable, and secure production infrastructures.
* Developing and deploying end-to-end LLM services, including construction and optimization.
* Working with MCP and exposing tools.
* Collaborating closely with Product, Data, and DevOps teams, including writing clean code and performing CI/CD tests. Full-time position, Sunday to Thursday, located in Haifa.

Azure DevOps Engineer We are looking for an Azure DevOps Engineer with the ability to build deep solutions and lead clients end-to-end. The Role Includes:
* 80% Hands-on deep technical work with Azure
* 20% Consulting, Pre-Sales, and Architecture with Clients Key Responsibilities:
* Leading End-to-End Azure Projects: Requirement definition, architecture, planning, implementation, and more.
* Daily hands-on work with Azure:
* Compute, Networking, Security, Storage, Entra ID, Hybrid Environments.
* Building and maintaining full CI/CD pipelines using Azure DevOps.
* Implementing Infrastructure as Code (IaC) with Terraform or Bicep at an advanced level.
* Leading technical meetings with clients: Architecture, workshops, POCs, and SOW.
* Troubleshooting complex issues and taking full ownership of project delivery.
* Collaborating as part of a leading Azure expert team, with opportunities for managerial development.

AI Bootcamp Course Ready to level up your skills and dive into AI? Join our hands-on AI Bootcamp, designed for Full-Stack developers with 6+ months of experience or CS graduates familiar with modern web technologies. For more information click here https://abrait.co.il/ai-bootcamp/

We are looking for a highly experienced Senior DevOps Engineer with strong AWS expertise and professional certifications to lead cloud infrastructure initiatives and support development teams in building scalable, secure, and highly available systems. Responsibilities
* Design, implement, and manage AWS cloud infrastructure (EC2, ECS, EKS, Lambda, RDS, S3)
* Build and maintain CI/CD pipelines using AWS tools (CodePipeline, CodeBuild, CodeDeploy)
* Implement Infrastructure as Code using CloudFormation, Terraform, and CDK
* Deploy and manage containerized applications (Docker, Kubernetes, ECS/EKS)
* Manage cloud security and best practices (IAM, GuardDuty, KMS, WAF)
* Monitor, troubleshoot, and optimize systems using CloudWatch, X-Ray
* Design and support high availability and disaster recovery solutions

We are searching for a strong technical leader to own the backbone of our Networking Research capabilities. We are looking for an Engineering Manager to lead the development of our high-fidelity Network Simulation platform and the extensive on-premise infrastructure that powers it.

In this role, you will lead a team of performance simulation software engineers and DevOps/Infrastructure specialists. You will own the "Simulation-as-a-Service" product-a critical platform used by internal researchers to model next-generation data center architectures. Your mission is to ensure our simulations are accurate, performant, and accessible, while managing the large-scale compute clusters required to run them.

What you'll be doing:

Team Leadership: Manage and mentor a team of C++ software engineers and DevOps infrastructure engineers, fostering a culture of performance, reliability, and code quality.

Product Ownership (Sim-as-a-Service): Treat the internal simulation platform as a product. Work with research partners to define the roadmap, prioritize features, and ensure high availability for users.

High-Performance Simulation: Be responsible for the architecture and optimization of complex network simulation engines (C++ based), ensuring they can scale to model extensive data center topologies with high fidelity.

Infrastructure Management: Own the lifecycle of our on-premise compute clusters and servers. Drive decisions on hardware upgrades, prioritisation, and managing system resources.

DevOps & Automation: Lead the strategy for CI/CD pipelines, automated testing, and containerized deployments to ensure rapid iteration and stability of the simulation platform.

multi-functional Collaboration: Partner with the AI Agents team to expose simulation APIs, enabling agents to run experiments and gather data autonomously.

Our Networking Research group is seeking a forward-thinking Engineering Manager with a product leadership approach to manage a team of Software Engineers, AI Agent Developers, and Researchers.

In this role, you will bridge the gap between brand-new AI research and practical engineering. You will lead the charge in integrating autonomous AI agents into the daily workflows of our architects, hardware designers, and researchers. You will be responsible for understanding internal engineering bottlenecks, researching the latest academic and industry advancements, and translating them into deployed production tools using our AI stack.

What you'll be doing:

Team Leadership & Strategy: Lead and mentor a mixed team of SW engineers and researchers, balancing the agility of research with the responsibility of production software engineering.

Product Engineering: Partner with internal engineering teams (Hardware, Architecture, Research) to analyze their workflows, identify friction points, and architect Agentic AI solutions to accelerate their work.

Applied Research: Actively monitor the latest AI trends, academic papers, and technical blogs (LLMs, Agents, RAG). Translate these insights into concrete features and tools for the team.

Agent Architecture: Be responsible for the design of scalable frameworks for AI agent interaction, ensuring they can reason, plan, and orchestrate tasks within complex engineering environments.

SW-Focused MLOps: Define and implement the software lifecycle for AI models - from fine-tuning to deployment - utilizing our AI deployment tools and ensuring seamless CI/CD.

Production Deployment: Ensure reliable operation of agent fleets, optimizing for latency and resource consumption while maintaining security and access controls.

We're looking for a Senior Backend Engineer to join our R&D team. You will work closely with our product team to build our unique product offering. As a Senior Backend Engineer, you will be responsible for building complex backend designs that are both scalable and fault-tolerant, developing our data ingestion pipeline and introducing new analysis engines.



What You'll Be Doing

Design, develop, test, deploy, maintain and improve the software.
Youll have your domain of expertise in which you'll assist the product team with future directions, lead the technology and cooperate with other engineers.
Youll develop backend services that integrate with and ingest data from various cloud providers that store sensitive data.
Youll build pipelines that analyze, classify, correlate and process this data.
Youll build systems that detect anomalies in the ingested data for alerting the customer, that automatically resolve issues and that generate sophisticated yet easily consumable insights arising from the processed data.
Youll have end-to-end responsibility from the technical design phase up to making sure the system is scalable and can meet high customer demands in production.
Youll identify and solve for bottlenecks within our software stack.
Youll bring innovation to the product
Youll work in an agile environment that focuses on high velocity and responds quickly to new insights.
As an all-around player, you'll work closely and at a high pace with other engineers, product, design, and other internal key stakeholders, as well as have a direct line of sight into how your work solves real-world problems for our clients and accelerates our business.

We're looking for a Backend Engineer to join our R&D team. You will work closely with our product team to build our unique product offering. As a Backend Engineer, you will take part in building complex backend designs that are both scalable and fault-tolerant, developing our data ingestion pipeline and introducing new analysis engines.



What You'll Be Doing

Design, develop, test, deploy, maintain and improve the software.
Youll have your domain of expertise in which you'll assist the product team with future directions, lead the technology and cooperate with other engineers.
Youll develop backend services that integrate with and ingest data from various cloud providers that store sensitive data.
Youll build pipelines that analyze, classify, correlate and process this data.
Youll build systems that detect anomalies in the ingested data for alerting the customer, that automatically resolve issues and that generate sophisticated yet easily consumable insights arising from the processed data.
Youll work in an agile environment that focuses on high velocity and responds quickly to new insights.
As an all-around player, you'll work closely and at a high pace with other engineers, product, design, and other internal key stakeholders, as well as have a direct line of sight into how your work solves real-world problems for our clients and accelerates our business.

We are looking for highly skilled software engineers to join our Platform Group and help shape the future of AI infrastructure.

The role of a Senior Software Engineer in the Platform Group is to design and develop scalable, high-performance systems that support the next generation of AI workloads. You will collaborate with experts across domains, tackle complex challenges, and drive innovations that empower our users to push the limits of AI capabilities.

What youll be doing:

Designing and developing enterprise-grade systems with a strong focus on scalability, reliability, and performance.

Building and optimizing microservices-based architectures using Kubernetes and cloud-native technologies.

Collaborating closely with backend engineers, product managers, and other collaborators to deliver impactful solutions.

Writing clean, maintainable, and testable code in Go

Conducting code and design reviews to uphold high-quality standards and mentor team members.

We are looking for a strong Full Stack Developer with an eye for details. We are building a product with high scalability in mind and solving challenging problems on a daily basis. Our backend architecture is event-based and relies on RabbitMQ. We also really love React hooks!

As a senior developer, you will master the entire development life-cycle from identifying and characterizing the product, including architecture, deployment, development, testing, and up until production.

Be part of a fast-growing engineering team that builds a cutting-edge platform that makes a real impact in the world.
Develop a complex, highly available, distributed, cloud-based solution, and maintains its high level of quality.
Build new features that directly impact the future of our product from the UI to the Database.
Deploy code to production regularly to a SaaS-based solution hosted on the Cloud.
Collaborate with the product team to understand the task requirements.
Plan and lead the Engineering designs.
Write well-designed, elegant, testable, and efficient code.
Mentor other team members and support their professional growth and development.

Responsibilities:
What youll be doing:
Take part in developing the worlds leading ecosystem-security solution.
Address security, scalability, and performance challenges.
Work closely with other team members, provide technical leadership.
End-to-end ownership of features, from design through development and deployment.
Take part in uncovering and resolving critical vulnerabilities for some of the biggest companies out there.

We're looking for an Experienced Software Engineer to build and scale our data systems. Youll be responsible for designing and implementing frameworks for robust backend systems and data pipelines that integrate with multiple clinical data sources.
What Youll Do:
Build a next-generation data platform using cutting-edge technologies.
Be part of a strategic, high-priority team driving a key company initiative.
Integrate with diverse external clinical data sources, ensuring seamless data flow.
Maintain high reliability, scalability, and data integrity across the platform.
Uphold strong engineering standards to ensure a robust and future-proof system
Use meta-level thinking to create generic, declarative frameworks

abra Professional Services is seeking for an data Engineer.?? Key Responsibilities:
* Design, implement, maintain, and optimize ETL processes using Informatica
* Build efficient data pipelines for data ingestion, cleansing, and transformation across multiple data sources.
* Work with various analytical databases
* Collaborate closely with BI, Analytics, and Product teams to create decision-support data layers.
* Lead the process of onboarding and integrating data sources into relevant AI systems
* Provide ongoing support for existing data infrastructures while participating in the implementation of new solutions.
* Ensure compliance with data quality standards, information security policies, and regulatory requirements Please note: This role requires a data Engineer background.

We are looking for a hands-on Senior DevOps Engineer with a strong cloud-native mindset to build, maintain, and evolve our highly scalable, highly-available cloud infrastructure. This role is pivotal in driving operational excellence, security, and automation across our entire engineering organization. You will promote communication, integration, and collaboration to significantly enhance our software development productivity and reliability. You'll work closely with engineering and product teams to streamline delivery, enforce platform standards, and enable a high-velocity development environment-all while keeping reliability and security top of mind.
Responsibilities
Design, Automate, and Manage complex cloud infrastructure on AWS using best-in-class Infrastructure as Code (IaC) practices.
Lead the operation and enhancement of our production Kubernetes environments (EKS), focusing on automation, security, observability, and seamless CI/CD integration.
Drive continuous improvement across platform tooling, developer experience, and operational processes to meet our ambitious performance and uptime goals.
Implement and enforce security-first infrastructure patterns, including strong IAM, network segmentation, and secure secrets management.
Actively contribute to high-level technical design discussions and cross-functional architectural decision-making, ensuring solutions align with long-term platform strategy.

The Data Engineering team is a cross-functional team responsible for data integration, monitoring, and quality. This includes automating data flows, alerting, fetching, and checking across various stages of data transformation and projection.
Key Responsibilities
Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
Develop data architecture for data ingestion, validation, and processing.
Identify, design, and implement process improvements, such as automating manual tasks, optimizing data delivery, and redesigning infrastructure for enhanced scalability.
Create and maintain optimal data pipeline architecture using microservices.
Work with other members of the data team, including data architects, data analysts, and data scientists.
Key Takeaways
Use the tools and languages that are best suited to the job - Complete flexibility to problem-solving with novelty and creativity encouraged.
Be around very bright and lovely people.
Your intellectual curiosity and hard work contributions will be welcome to our culture of knowledge sharing, transparency, and shared fun and achievement.
Provide education and documentation to empower team members to make the most of technical resources.
Contribute to our software engineering culture of writing correct, maintainable, elegant, and testable code.
Utilize AWS services and tools such as S3, EventBridge, Athena, and DynamoDB to build a robust and scalable data architecture for data ingestion, processing, and storage.
Collaborate on data infrastructure that supports LLM-driven workflows - leveraging tools like Cursor to accelerate code development, enhance reproducibility, and streamline iteration on intelligent systems.