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we are looking for a Mid-Level, Security Engineer.
This role focuses on ensuring the security and compliance of cloud infrastructure by implementing and maintaining robust security controls across AWS environments. The position involves automation for security monitoring, adhering to best practices, and collaborating cross-functionally with other teams.
What Youll Actually Be Doing:
Cloud Security Implementation: Contribute to the design and implementation of security measures across AWS environments to ensure systems are secure, compliant, and aligned with industry best practices. Including implementation, automation and development of security policies
Conduct regular security assessments, control testing, and audits to proactively identify risks and vulnerabilities (and support remediation efforts with partner teams)
Collaboration with Internal Teams: Work closely with internal teams to integrate security best practices into development and operational workflows
Security Automation & Infrastructure Management: Design and implement automation strategies for security monitoring, auditing, and incident response
Cost Efficiency through Security: Contribute to cloud cost management by optimizing cloud resources without compromising on security.
Incident Response & Threat Management: Participate in incident response efforts to support timely identification, analysis, containment, and remediation of security threats. Contribute to post-incident reviews, help maintain incident response playbooks, and support internal teams by sharing learnings and updated procedures.

we are looking for a Security Engineering Operations Coordinator.
As the Security Engineering Operations Assistant, you'll be the organizational backbone for the VP, Security Engineering-ensuring requests move forward, deadlines stay visible, and nothing gets lost in the shuffle. This isn't about being an admin; it's about being the force multiplier that lets security leadership focus on strategy and technical priorities while you keep the machine running smoothly.
If you're the person who naturally keeps lists, follows up before being asked, and gets satisfaction from bringing order to chaos-this role was made for you.

A passionate and experienced team leader eager to lead a global multidisciplinary team, which includes front-end/full-stack developers and a QA Automation engineer. You excel in a hands-on leadership role, driving technical excellence while fostering a culture based on trust, collaboration, and professional growth. You are invigorated by technology, innovation, and creating products that significantly impact the world.

If you want to play a key role in the team and bring a real impact to the world - we are the right place for you.

Your Impact:
Lead, coach, and grow a global multidisciplinary team, fostering a culture of high performance, continuous learning, and collaboration.
Own the architectural vision and technical roadmap.
Plan and execute complex software delivery cycles from ideation to production.
Partner closely with Product Managers and stakeholders to define requirements, prioritize tasks, and translate business needs into technical solutions.
Oversee the health and performance of the application, promoting a strong "quality-first" culture.
Lead by example by remaining technically involved (hands-on) in complex features and critical code reviews.

Our offices are located in Tel Aviv, near the Hashalom train station and the Yehudit light rail station, with on-site parking available. We offer a hybrid work model with flexible working hours.

We are seeking an experienced Backend Engineer to join Evinced and play a key role in evolving our GenAI-driven products that expose and deliver our capabilities to customers.

In this role, you will design, implement, and maintain high-quality backend services that power AI-based interfaces such as MCP, Slack/VS Code chatbots, agents, and additional automation tools, ensuring seamless access to our tools and features.

You will be responsible for building reliable and scalable systems that enable developers and accessibility experts to easily leverage our technology and gain actionable insights for improving the accessibility of their code.

Your Impact:
Research and implement industry-leading technologies into our technology stack.
Design and implement scalable solutions to enhance the product architecture.
Plan and execute complex, distributed, large-scale software delivery systems.
Monitor and optimize all aspects of product performance.
Troubleshoot issues across various services and functional areas.

Our offices are located in Tel Aviv, near the Hashalom train station and the Yehudit light rail station, with on-site parking available. We offer a hybrid work model with flexible working hours.

We are seeking an experienced and visionary Data Scientist to join our dynamic technology organization. The successful candidate will be a part of a team of talented data scientists, driving innovation and delivering business value through advanced machine learning techniques and Generative AI solutions. This role requires a strategic thinker with hands-on expertise in both traditional and cutting-edge data science methodologies, and a passion for continuous learning and development.
Responsibilities:
Gradient boosting techniques (e.g., XGBoost, LightGBM, CatBoost) are used to enhance predictive accuracy and model robustness.
Drive the exploration and integration of Generative AI applications, including Large Language Models (LLMs), to create innovative solutions for our products and services.
Collaborate with cross-functional teams (engineering, product, business) to translate business requirements into actionable data science projects.
Establish best practices for model development, validation, deployment, and monitoring in production environments.
Promote a data-driven culture, encouraging experimentation, sharing of knowledge, and adoption of state-of-the-art technologies.
Communicate project progress, insights, and results to stakeholders at all levels of the organization. Design, implement, and optimize classic machine learning models to solve complex business problems.

We are looking for a .NET developer to join our fast-growing Acquiring dev team. You will report to the ACQ Integration Team Leader and play a key role in enhancing the Acquiring system by developing innovative new features, contributing to our teams ongoing success and growth.
Responsibilities:
Participate in all aspects of software development, including designing, hands-on coding, implementing, debugging, deployment, and troubleshooting
Accountable for overseeing the complete lifecycle of new product features and components from inception to deployment
Provide mentorship for other team members
Conduct code reviews
Be a source of knowledge for the team members regarding the technical and business aspects of the daily work
Assist the team leader in any way that is required, including leading feature development and providing guidance for other team members
Define and enforce coding standards.

We are always looking for exceptional talent to join us on the journey!
Your Mission:
As an MLOps Engineer, your mission is to design, build, and operate the platforms that power our machine learning and generative AI products spanning real-time use cases such as large-scale fraud scoring, MCP & agentic workflows support. Youll create reliable CI/CD for models and Agents, robust data/feature pipelines, secure model serving, and comprehensive observability. You will also support our agentic AI ecosystem and Model Context Protocol (MCP) services so that models can safely use tools, data, and actions across.
You will partner closely with Data Scientists, Data/Platform Engineers, Product, and SRE to ensure every model from classic ML to LLM/RAG agents moves from prototype to production with strong reliability, governance, cost efficiency, and measurable business impact.
Responsibilities:
Operate & Develop ML/LLM platforms on Kubernetes + cloud (Azure; AWS/GCP ok) with Docker, Terraform, and other relevant tools
Manage object storage, GPUs, and autoscaling for training & low-latency model serving
Manage cloud environment, networking, service mesh, secrets, and policies to meet PCI-DSS and data-residency requirements
Build end-to-end CI/CD for models/agents/MCP tooling (versioning, tests, approvals)
Deliver real-time fraud/risk scoring & agent signals under strict latency SLOs.
Maintain MCP servers/clients: tool/resource definitions, versioning, quotas, isolation, access controls
Integrate agents with microservices, event streams, and rule engines; provide SLAs, tracing, and on-call runbooks
Measure operational metrics of ML/LLM (latency, throughput, cost, tokens, tool success, safety events)
Enforce governance: RBAC/ABAC, row-level security, encryption, PII/secrets management, audit trails.
Partner with DS on packaging (wheels/conda/containers), feature contracts, and reproducible experiments.
lead incident response and post-mortems.
Drive FinOps: right-sizing, GPU utilization, batching/caching, budget alerts.

CodeValue, founded in 2010, is a dynamic software development services company delivering top-notch architectural and technical expertise. Our mission includes providing in-depth consultancy, integrating product and design research into our development process, offering managed software and cloud solutions, and customized training programs to bridge knowledge gaps. We empower our employees through a comprehensive range of professional courses and training programs. From Cloud Computing (Azure, AWS) to Modern Full Stack Web Development, Microservices, Software Architecture, and DevOps, we invest in continuous learning. As a developer at CodeValue, you’ll join a diverse community of technology enthusiasts. Our work is dynamic and ever-evolving, as we collaborate with various clients and technologies. You’ll have the opportunity to learn, grow, and stay on the cutting edge of the latest tools and methodologies.
Position Overview
We are looking for a skilled full stack developer to join our Platform Engineering team, focusing on building, and enhancing our Internal Developer Platform (IDP) using Backstage as a platform. You will play a key role in designing, developing, and maintaining self-service capabilities that improve developer experience and streamline software delivery. Collaborate with teams to enhance developer productivity and platform adoption.
Key Responsibilities Design, develop, and maintain high-quality software applications Collaborate with cross-functional teams to define, design, and ship new features Write clean, maintainable, and efficient code Participate in code reviews and contribute to improving our development processes Troubleshoot, debug, and upgrade existing systems Stay up-to-date with emerging trends and technologies in software development

our company is a global leader in control systems for computing, a field on the verge of exponential growth. our innovative hardware and software mark a groundbreaking approach in our computer control, scaling from individual qubits to expansive arrays of thousands.
at the core of qm lies a passionate and ambitious team committed to reshaping the construction and operation of our computers. our work is fueled by a deep understanding of customer needs, driving us to deliver unparalleled solutions in this revolutionary field.
we are looking for a Verification engineer who embodies ambition and positivity, who can passionately take ownership of their responsibilities, collaborating effectively with remote teams to not only meet but exceed our objectives and fulfil the evolving needs of our expanding customer base.
the Verification engineer we look for will be a highly talented and motivated person, who is a real team player and can collaborate closely with engineers from other disciplines and our physicists.
responsibilities:
practicing the full range of verification aspects
creating a verification environment from scratch (drivers, monitors, coverage...)
vip (ddr/pcie/axi) integration
defining verification sequences via a complex control-flow constraint set
system understanding of a Full-Stack product with strong hw-sw coupling
reference model integration
TEST plan definition
defining verification flows and creating the proper infrastructure to support it

our company is a global leader in control systems for our computing-a field on the verge of exponential growth.
our innovative hardware and software mark a groundbreaking approach to our computer control, scaling from individual qubits to expansive arrays of thousands.
at the core of qm lies a passionate and ambitious team committed to reshaping the construction and operation of our computers. our work is fueled by a deep understanding of customer needs, driving us to deliver unparalleled solutions in this revolutionary field.
were seeking a software system Engineer to ensure seamless operation and integration of our complex, multidisciplinary system. this role spans multiple software domains and interfaces with hardware, logic, and validation teams. youll act as a technical leader, driving design and implementation of system -wide features, resolving intricate integration challenges, and building infrastructure that accelerates development across the software group.
youll thrive here if you love working on large-scale, multi-threaded systems, solving cross-disciplinary problems, and building robust, production-quality solutions for cutting-edge our computing products.
responsibilities
system integration & technical leadership
ensure proper operation and integration of all software components and their interfaces with logic and validation modules.
lead design and implementation of multidisciplinary features, balancing performance, reliability, and maintainability.
investigate and resolve complex system -wide issues and bugs across multiple teams.
infrastructure & tooling
develop and maintain internal tools and infrastructure to enhance development efficiency and integration readiness.
build profiling, debugging, and automation frameworks to support high-quality delivery.
cross-team collaboration
key stakeholder in the definition of interface contracts (apis, protocols, timing/resource constraints) across software and hardware boundaries.
drive integration plans, dry runs, and troubleshooting for system -wide features.
quality & execution excellence
champion clean architecture, code reviews, automated testing, and ci/cd best practices.
ensure documentation (design specs, interface definitions, runbooks) is complete and up-to-date.