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Architectural Leadership: Design and implement high-performance, scalable solutions for global enterprises using code generation. You will take full ownership of the lifecycle-from initial conceptualization and architectural design to implementation and global delivery.
System Evolution: Drive the evolution of our distributed systems built on Kubernetes, ensuring they meet the demands of a rapidly scaling client base.
Production Excellence: Set and maintain the gold standard for production systems. You will champion best practices in testing, observability, and proactive alerting to ensure mission-critical stability.
AI Integration: Partner closely with Product Managers and Data Scientists to embed cutting-edge AI and machine learning capabilities into our core offerings.
Technical Mentorship: Act as a force multiplier for the team. You will mentor and upskill fellow engineers, fostering their technical growth and execution potential through code reviews, design docs, and pair programming.
Strategic Input: Bring your deep industry experience to our agile processes, helping the team adapt, grow, and innovate.

As the Development Team Lead for HiredScore Sourcing Products, you will manage and mentor a cross-functional team of Full-Stack Engineers, Backend Engineers, and QA Automation Specialists.
Your team's core mission will be to translate AI/ML insights into seamless, scalable features that drive efficiency in recruiter workflows-specifically through resurfacing past applicants, prospects, and internal talent. You will own the entire development lifecycle for your products, from core API implementation to deploying user-facing applications and integration layers (web UIs, RPA/workflows, MS Teams bots)
Key Responsibilities:
Lead, mentor, and grow the diverse engineering team, ensuring effective collaboration between backend, full-stack, and QA functions. Drive best practices in development, code quality, and delivery speed.
Design, document, and oversee the implementation of scalable, reliable, and secure systems, ensuring seamless integration between backend AI services and the user-facing product layers.
Ensure the team maintains a strong quality and automation culture by providing strategic direction to QA specialists and upholding high standards for testing and product stability.
Drive development across the full spectrum of product surfaces: APIs (GraphQL/REST), Web Applications (React/Angular/Vue), and specialized engagement layers.
Ensure efficient consumption of AI outputs by downstream systems, particularly through robust queue-based architectures (like RabbitMQ) and workflow automation (RPA).
Partner closely with Product Management, Data Science, and other engineering teams to translate business requirements into technical execution.

We are looking for a System Integrator to join the company integration division, the position is primarily hands-on involving delivering and supporting large scale projects. Every project is unique and will require learning new technologies and designing new solutions to meet the R&D requirements & deliver a complete solution with Infrastructure & software to the end customer.
The integration team is involved throughout the lifecycle of the R&D process from the development stage lab environments to the full-scale deployment in the customer premise and ongoing support & upgrades once the delivery is complete. Support customers (outside the office) Willingness to travel overseas to customers. On call responsibilities.

We are looking for a system engineer to join our talented system engineering department.
As a system engineer you will be leading complex, multidisciplinary projects as a the technical owner, processing the customer needs and values into system specifications and requirements, overview the development and chair the acceptance processes.
Responsibilities
Customer Liaison.
Analysis of customer needs and requirements.
Identification of internal Projects Specifications and requirements.
Ability to lead and manage sub-contractors, including contractual engagements and procurement supervision.
Ability to lead a team of engineers, including the management of work plans and delivery schedules.
Ability to create effective and deployable solutions to complex engineering challenges.
Preparing, Leading and participating in Design Reviews and contractual engagements activities.
Leading acceptance and delivery processes with multiple entities, domestically and abroad.

We are looking for a strong Software Manager to lead a team of 6-8 developers working on mission-critical operational systems.
A leading technology company developing advanced mission-critical systems for defense, HLS, and industrial sectors.
This is a unique opportunity to take ownership of core operational systems, lead a talented development team, and drive modernization through web technologies and AI-driven development practices.
Responsibilities:
Lead and manage a team of 6-8 software developers and QA engineers.
Own development activities end-to-end, including delivery, quality, technical execution, and production support.
Design, develop, and maintain software solutions using C#/.NET and web/WPF technologies.
Provide technical leadership, architecture input, code reviews, and troubleshooting support.
Work closely with customers, product teams, system engineers, QA, and other stakeholders.
Build and promote an AI-driven development pipeline, including AI-assisted coding, testing, documentation, and code review.
Improve development processes, engineering standards, automation, and team efficiency.
Position Details:
Security Clearance - Advantage
On-site work in Petach Tikva.

We are seeking an experienced Project Manager to lead multiple high-budget projects in the air defense sector, overseeing all stages and ensuring successful delivery of business, financial, and technical objectives.
Responsibilities
Manage multiple high-budget security projects simultaneously, ensuring they meet scope, timeline, and budget requirements.
Oversee projects at different life cycle stages, from initiation to closure.
Coordinate and collaborate with internal and external stakeholders, including customers, suppliers, and cross-functional teams.
Ensure all aspects of project management are addressed, including business, administrative, financial, and technical requirements.
Negotiate with stakeholders to resolve conflicts and achieve project goals.
Monitor and report on project progress, risks, and issues to senior management.
Maintain excellent human relations and ensure high levels of service orientation and productivity.
Foster a creative and solution-oriented environment to address project challenges.
Travel within Israel to meet with customers and suppliers.

We are looking for a talented, hands-on Software Development Team Leader to lead a small, focused team of software developers in a web development environment and take a key role in the development of an advanced, real-time operational platform.
The ideal candidate is a dynamic and technology-driven Team Leader who loves building great software, brings new ideas to the table, stays constantly up to date with emerging technologies, and knows how to turn them into real engineering value.
Responsibilities:
Lead the teams day-to-day technical activities while remaining actively hands-on in development.
Develop scalable backend services in a microservices architecture.
Integrate AI into the day-to-day development lifecycle, including coding, testing, debugging, documentation, code review, and productivity improvement.
Work closely with Product, System Engineering, Project Managers, QA, and other R&D stakeholders.

We are looking for a motivated and enthusiastic Data Science Student to support our AI and data management efforts. The role involves data collection and preparation, Deep Learning models architecture design, implementation, training, and evaluating algorithm results mainly in the medical imaging domain. Additionally, you will help with other data-related tasks as needed to support our operations.
What you will be doing :
Data Collection: Gather, organize and prepare (including augmentation) data from various storage locations using tools such as Excel and Python scripting. Develop python code for automatic data collection.
Deep Learning Models - Implementation and Training: Analyze to decide what kind of model to use, implement it, train it and adapt to improve the model results.
Evaluate Model Results: Visually and empirically assess AI model and other computer vision algorithms outputs, providing feedback and scoring to improve model performance.
Assist in Other Data Related Tasks: Organize data from different sources, clean it and implement automatic data collection and preparation pipeline scripts.
Working according to our Quality Policy, relevant Quality Procedures & Standards, and privacy & safety rules.

Were at a super exciting inflection point. Our product is scaling, our customers are pushing the boundaries of whats possible, and were re-architecting our platform to keep up with that pace.
Were looking for a Full Stack Engineer who wants to build, not just maintain. Someone who gets excited about laying down core infrastructure, shaping technical vision, and shipping real product fast. This is a hands-on role with tons of room to grow and influence the direction of the company.
What Youll Do
Own big pieces of the product: Youll lead core projects that shape how teams experience our company, making complex workflows feel dead simple.
Ship fast and thoughtfully: We care about great engineering and moving quickly. Youll set the tone for both.
Build the foundation: From infrastructure to frontend components, youll help create the building blocks that unlock entirely new use cases for our customers.
Make us scale like magic: As usage explodes, youll make sure our product stays fast, stable, and elegant behind the scenes.
Collaborate deeply: Youll work side-by-side with design, product, and go-to-market teams to bring ambitious ideas to life, and help shape the technical culture as we grow.

Were at a super exciting inflection point. Our product is scaling, our customers are pushing the boundaries of whats possible, and were re-architecting our platform to keep up with that pace.
Were looking for a Senior full stack Engineer who wants to build, not just maintain. Someone who gets excited about laying down core infrastructure, shaping technical vision, and shipping real product fast. This is a hands-on role with tons of room to grow and influence the direction of the company.
What Youll Do
Own big pieces of the product: Youll lead core projects that shape how teams experience our company, making complex workflows feel dead simple.
Ship fast and thoughtfully: We care about great engineering and moving quickly. Youll set the tone for both.
Build the foundation: From infrastructure to frontend components, youll help create the building blocks that unlock entirely new use cases for our customers.
Make us scale like magic: As usage explodes, youll make sure our product stays fast, stable, and elegant behind the scenes.
Collaborate deeply: Youll work side-by-side with design, product, and go-to-market teams to bring ambitious ideas to life, and help shape the technical culture as we grow.

As a Senior Site Reliability Engineer at our company 911, you'll own the infrastructure that keeps our platform reliable, scalable, and secure - work that directly supports mission-critical 911 systems used by public safety agencies. You'll drive infrastructure-as-code practices across AWS, lead observability efforts through Datadog, and bring modern AI-assisted engineering approaches into how the team builds and operates.
What You'll Do
Own and evolve AWS infrastructure using Infrastructure-as-Code (Terraform / Terragrunt)
Architect and scale AWS environments
Deploy, scale, and manage containerized workloads using Kubernetes and Docker; contribute to HA/DR architecture and platform strategy
Lead deployment and release processes using Argo (reference JD also names Bitbucket, Jenkins as part of the CI/CD toolset).
Define and enforce SLOs, SLIs, and error budgets; drive toil reduction across the platform
Drive full utilization of Datadog for monitoring, dashboards, and alerting across the platform (reference JD also names Prometheus, Grafana as potential observability tooling)
Build self-service internal developer platforms that empower teams to ship faster.
Take end-to-end ownership of infrastructure projects - define success criteria, execute, and measure outcomes.
Partner cross-functionally with engineering teams (e.g., network engineering, Dev owners) on long-term technical planning.
Bring AI-assisted engineering practices (e.g., Claude, MCP integrations) into daily workflows to improve team efficiency
Document work and provide cross-training to peers.
Resolve JIRA tickets across Cloud, CI/CD, deployments, and monitoring.

Required Senior Python Software Engineer
The Role:
Our group is responsible for building software enabling both the large-scale quantitative research operations that drive our platform and the production of our portfolio. The team is currently embarking on a multi-year journey to provide a powerful, scalable, and efficient platform to drive the firms next decade of growth. We are looking for someone who can own some of the unique technical challenges inherent in the problem and who can bring solid experience and perspective to the team.

We are looking for an exceptionally strong software engineer to join our Technology organization. You will be part of a business-facing team responsible for building and evolving the core systems that power our Quant strategies. This is an AI-forward team: large language models (LLMs) and AI agents are part of our daily workflow - from writing and reviewing code, to automating operational toil, to building internal copilots and agentic tools that the whole team relies on. You won't just use AI to move faster; you'll help shape how it's applied across our engineering practice.
Design and build data pipelines and the data layer.
Develop and maintain the computational frameworks and infrastructure that run our quantitative strategies at scale.
Implement and enhance quant-related software systems for data, research, portfolio construction, and trading.
Work closely with Researchers, and Quants as a hands-on engineering partner, helping them turn ideas into robust production solutions.
Gain exposure to the full lifecycle of the systematic/quant business, from data ingestion through research, implementation.
Build and integrate AI-powered tooling - LLM agents, copilots, and automation - into engineering and research workflows.
Use AI coding assistants and agentic developer tools to ship higher-quality software faster.

We are seeking an exceptional senior-level Python engineer to join a small team working on complex data pipelines, AI/ML systems, and cutting-edge software solutions.
This role will be responsible for managing technical objectives, providing technical leadership, and maintaining a hands-on approach to development. The ideal candidate will work closely across teams within as part of our business-facing technology organization.
A successful candidate will possess deep expertise in Python development, data engineering, software architecture, and design principles. They should be able to mentor junior team members, conduct code reviews, and drive architectural decisions. Experience with AI and large language models (LLMs) is highly desirable.

we are looking for a Senior Software Engineer with strong Python expertise and a passion for solving complex algorithmic problems. You'll work at the intersection of production software, algorithms, and quantum computing, collaborating closely with researchers to turn complex ideas and prototypes into robust, scalable production systems.
What You'll Do
Bridge research and production environments, turning research prototypes and algorithmic concepts into production-quality software.
Own software components end-to-end, from design and architecture through implementation, testing, performance optimization, and productionization.
Implement and integrate complex algorithms in close collaboration with research teams.
Develop and maintain company code across two key areas: research support systems that enhance our researchers' capabilities, and core product development code.
Design software that is robust, scalable, maintainable, and correct across performance-sensitive and edge-case-heavy scenarios.
Why is This Role Unique?
Core software engineering - The role is centered on software architecture, implementation quality, algorithms, performance, scalability, robustness, and maintainability. UI, database-heavy work, and DevOps are minimal to non-existent.
Algorithmic depth - Solve complex computational and mathematically intensive engineering problems, not just standard backend challenges.
Quantum computing focus - Work on emerging quantum computing technology. Prior quantum experience is an advantage, but is not required.
Research-to-production collaboration - Work directly with quantum physicists and researchers and turn research ideas into reliable production software.