דרושים » תוכנה » Staff Infra Software Engineer

At our company, we move fast. Were an ultra-collaborative company with brilliant people who care deeply about the details. Together, were solving interesting and complex puzzles to keep the worlds data safe.
We work in a flexible, hybrid model, so you can choose the home-office balance that works best for you.
Responsibilities
Design and Build ML Infrastructure: Develop and maintain scalable, production-ready infrastructure for both traditional ML (anomaly detection, user behavior analytics) and LLMs across enterprise environments.
Optimize Model Performance: Analyze and optimize LLM and ML performance using techniques like knowledge distillation, quantization, and efficient data structures to boost efficiency and lower resource costs.
Deploy and Integrate: Collaborate heavily with software and data engineers to integrate models into production pipelines, cloud-native environments, and on-premises workflows.
Drive MLOps & Tooling: Manage the complete model lifecycle (monitoring, retraining, deployment) and actively build custom tools from scratch to improve the team's ML workflows.
Elevate Engineering Standards: Perform rigorous code reviews, ensure robust Python production standards, and provide technical guidance to data scientists and junior engineers.
Cross-Functional Partnership: Partner with cybersecurity researchers and product teams to translate research insights and threat analysis features into highly performant production code.
Open-Source Engagement: Actively engage with the open-source community by contributing code and expertise to relevant ML/LLM projects.

We are looking for a passionate software engineer to join our validation software development team. You'll have the unique opportunity to build the validation infrastructure and frameworks that kernel engineers rely on, while also validating kernel features that support our silicon and product roadmap - including memory management, concurrency, scheduling, power transitions, kernel/user boundaries, CPU tracing, and more. You'll be given the ownership and agency to influence the future direction of our products.

Successful candidates will join a multifaceted team responsible for building validation infrastructure and qualifying the latest kernel technologies on all our products, from watches to laptops, including unreleased prototypes. Our team collaborates with software development and validation teams around the world and is involved throughout the development lifecycle, from initial design until we ship to the customer.

Responsibilities:
- Designing, building, and maintaining scalable validation infrastructure, test frameworks, and CI/CD pipelines that enable kernel engineers to efficiently qualify their work across a wide array of Apple devices.
- Developing tooling and automation that improves test reliability, execution speed, and coverage reporting.
- Defining validation strategies, test plans, and testing methodologies for kernel technologies.
- Planning and developing automated test suites to validate new and existing kernel features.
- Independently managing efforts across cross-functional teams and communicating quality status to stakeholders.

Fire-Arc is an innovative, data-oriented, high-tech company that owns, develops, and publishes multi-platform digital Assets. All our products and content coordinate together to create unique monetization solutions and advanced revenue streams for digital properties. We are expanding our teams and are focused on adding like-minded, result-oriented, and high-achieving talents. We’re looking for a Mid-Level Client Developer with strong leadership capabilities, extensive experience building Windows desktop applications , and a passion for mentoring others and solving complex problems.
Impact and Responsibilities
* Lead the design and development of Windows desktop applications using technologies mostly C# (.NET) WPF
* Drive high-quality integrations with AWS services like S3, Lambda (serverless), EC2, DynamoDB and RDS
* Use AI-powered development tools and IDEs (such as GitHub Copilot, Cursor, and similar assistants) as part of the daily workflow to improve development speed, code quality, and problem-solving
* Design, build, and maintain backend services that support and seamlessly integrate with Windows desktop client applications.
* Apply practical experience with Generative AI tools to increase productivity while maintaining strong engineering standards and critical thinking.
* Proactively identify technical and architectural challenges, and craft scalable, secure, and user-centric solutions
* Oversee and enhance application installation, deployment, and update processes with a focus on security and user experience
* Foster a collaborative, respectful work environment , supporting team members and driving alignment with cross-functional teams
* Participate in code reviews and contribute to a culture of quality and shared knowledge
* Continuously monitor and optimize application performance, security, and scalability
* Stay up-to-date with industry trends and recommend new tools, techniques, or improvements to enhance team effectiveness

Brand:
FireArc

we are an innovative, data -oriented, high-tech company that owns, develops, and publishes multi-platform digital Assets. All our products and content coordinate together to create unique monetization solutions and advanced revenue streams for digital properties. We are expanding our teams and are focused on adding like-minded, result-oriented, and high-achieving talents.
Impact and Responsibilities
* Design, implement, and maintain scalable, secure, and reliable cloud infrastructure on AWS (3+ years of experience required) and GCP (preferred).
* Build and maintain CI/CD pipelines to automate application deployment and infrastructure updates.
* Demonstrate hands-on experience using Generative AI tools (e.g., GitHub Copilot, ChatGPT, Cursor, or similar) to accelerate scripting, infrastructure automation, CI/CD configuration, and operational troubleshooting.
* Automate infrastructure provisioning and management using Infrastructure-as-Code (IaC) tools, with Terraform experience being a must.
* Automate infrastructure provisioning and management with Ansible experience being a must.
* Collaborate with development teams to optimize application performance and reliability.
* Troubleshoot and resolve system, application, and network issues to ensure high availability and reliability.
* Ensure the compliance of our infrastructure with security best practices and standards.
* Leverage advanced networking and proxy configuration expertise to design robust and secure systems.
* Continuously research, evaluate, and implement new technologies to enhance infrastructure efficiency and cost-effectiveness.

we are building the future of security operations.
We create a unified, AI‑driven security platform that empowers SOC analysts, security engineers, and admins to work faster, smarter, and at massive scale. Our mission is to turn complex, fragmented security workflows into a single, intuitive experience that becomes the daily home for security practitioners worldwide.
Responsibilities:
Define the scope and technical direction for major frontend initiatives, aligning product intent with architecture, milestones, and measurable outcomes.
Lead design and delivery of a scalable, high‑performance web platform, enabling complex security scenarios with excellent reliability and responsiveness at scale.
Own end‑to‑end quality and effectiveness of the user experience-performance, accessibility, correctness, telemetry, and operational readiness.
Drive cross-team execution with backend/platform/PM/design, unblocking dependencies and ensuring cohesive, consistent experiences across the product.
Establish frontend engineering standards (architecture patterns, testing strategy, performance budgets, CI/CD, code health) to raise the bar across the org.
Mentor and grow engineers through hands‑on technical leadership, reviews, and coaching-creating a culture of excellence and pragmatic execution.

We are looking for an experienced and dynamic Team Lead to manage a talented group of frontend & backend engineers, qa testers and devops. In this role, you will oversee the design , development and delivery of versions of our software to our biggest customer, ensuring that it meets the highest standards of quality and efficiency.
Additionally, you will collaborate closely with stakeholders in the customer team and within the organization, requiring strong communication and leadership skills.
Key Responsibilities:
Lead, mentor, and manage a hybrid team (Onshore & Offshore) of 10 engineers (frontend, backend, quality, devops), fostering a collaborative and high-performance culture.
Oversee our AI-first transformation in your team- moving all coders to do 100% vibe coding
Collaborate with product owners, QA, DevOps, and other team members to deliver high-quality software solutions within an Agile framework.
Ensure the teams not only develop features but also write comprehensive automation tests to validate and cover their work, ensuring high quality and stability.
Ensure designs and implementations align with technical specifications, industry standards, and best practices.
Promote continuous improvement by exploring and adopting new technologies and methodologies.
Provide support for customer and delivery teams in successfully implementing projects based on the platform.
Contribute to all phases of the development lifecycle, from design through deployment to maintenance.
Write well-structured, testable, and efficient code when needed.

We are looking for an experienced backend engineer with a background in writing resilient and robust production services. Youre familiar with modern microservices architecture, technologies, and best practices. You have a strong problem-solving attitude and a deep sense of accountability, you are a team player, independent, and most importantly, youre passionate about what you do and about making things better.

We develop event-driven systems and real-time APIs that are used widely across and are written mostly in Node.js, Go, and Python. Some of the technologies we work with include: Apache Kafka, K8S, managed AWS services (RDS, CloudFront, Athena, ElastiCache, etc), DataDog, and GraphQL.

What youll do

Develop end-to-end services and features, from gathering requirements and research to implementation, deployment, and monitoring.
Integrate and implement AI flows and solutions into the team and department.
Improve quality and find weaknesses in existing processes and services.
Participate in brainstorming and early-stage designs.
Mentor, advise, and work collaboratively within the group, with other development teams, and with all other business teams in the company.
Continuously learn and follow new technologies both for personal growth and to ensure we are making the most informed technology choices possible.

ou'll be joining the core engine team as a Senior/Principal Engineer, responsible for the technology that processes dozens of petabytes daily across hundreds of services and Azure's Top 100 enterprise customers.
Our engine is the foundation for critical products including Azure Data Explorer, Fabric's Real-Time Intelligence, Azure Log Analytics, and Defender for Cloud. It enables internal observability for hundreds of services and delivers lightning-fast analytics for organizations worldwide.
As a Senior/Principal Engineer on this team, you'll lead projects that advance the core Kusto engine by driving new capabilities, optimizing distributed query execution, enhancing ingestion, and solving complex engineering challenges in performance and scalability at petabyte scale.
Responsibilities:
Partner with internal and external stakeholders to determine customer requirements, gather feedback, and ensure the engine meets their needs
Own and lead architectural discussions for complex aspects of projects within the Kusto engine and drive dependency identification and the design
Collaborate with partner teams across to ensure integration, testing, scalability, performance standards, and live-site coverage
Design and spearhead implementation of key projects in the Kusto engine core, from conception through delivery
Enhance existing engine components for even better performance, scalability, and maintainability
Provide technical leadership and mentorship to engineers, guiding them to produce maintainable, secure, performant code and establish test strategies that ensure quality
Lead collaboration with geographically distributed teams across and cross-functional disciplines

We are looking for a highly motivated R&D Software Engineer with strong algorithmic thinking, problem-solving skills, and hands-on software development experience. While experience in signal processing, communications, DSP, or RF is a strong advantage, it is not a requirement.

This role is ideal for engineers who enjoy tackling complex problems, designing practical solutions, and turning ideas into working systems. You will work in a multidisciplinary environment at the intersection of algorithms, software and hardware, with real impact on end products.

You will:
Design and implement algorithms and software solutions for complex problems.
Develop high-quality, production-ready code in C++ and Python.
Take ownership of features and components from concept through implementation and validation.
Build prototypes, run experiments, and iterate quickly based on results.
Participate in code reviews, architecture discussions, and technical decision-making.
Document designs, trade-offs, and implementation details.

Join us at our company, a global fintech leader (NASDAQ; TASE: NYAX) revolutionizing the world of cashless payments, consumer engagement, and business management solutions. With more than 1,200 employees across 12 offices worldwide. At our company, youll be part of a diverse and innovative community where your work makes a real impact and helps shape the future of payments.
Syte is an image recognition solution for retailers in different verticals such as fashion, home, furniture, DIY etc. We offer AI-powered product recommendation and discovery platform. Our solutions include visual search, automated product tagging, advanced personalized recommendations, and more.
We are currently looking for a Senior Machine Learning Engineer to design and implement scalable and integrate machine learning solutions into production. You will work with modern technologies like Node.js, Python, Kafka, MongoDB, and OpenSearch, AirFlow, while driving architectural decisions and CI/CD best practices. This role combines backend engineering excellence with ML deployment expertise.
The Senior Machine Learning Engineer will report directly to the Director of R&D.
Your key responsibilities will include:
Architect and develop MLE services using Python, ensuring high performance, reliability, and scalability.
Collaborate with Data Science teams to productionize ML models (model serving, monitoring, retraining pipelines).
Build and maintain CI/CD pipelines for automated testing, deployment, and monitoring.
Design and implement system architecture for distributed, event-driven systems.
Integrate and optimize Kafka for real-time data streaming and event processing.
Design and manage MongoDB schemas and queries for optimal performance.
Implement and maintain OpenSearch clusters for search and analytics use cases.
Ensure security, observability, and fault tolerance across all services.
Mentor team members and contribute to engineering best practices.