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Fluent Trade Technologies is a global fintech software firm, recognized as a market leader in the eFX space. For over a decade, weve been delivering ultra-low-latency trading and market data solutions to the worlds largest banks, hedge funds, and non-bank institutions. Our modular and scalable platform empowers clients to achieve faster, smarter trading decisions, improve execution certainty, and grow their market share across multiple asset classes - including eFX, eFutures, eFixed-Income, Cryptocurrencies, and eMetals. With development centers in Europe and a collaborative, innovation-driven culture, Fluents mission is simple: to eliminate barriers to the most advanced trading technology and make it accessible to all market participants. Learn more about us at www.fluenttech.net We are looking for a Senior DevOps Engineer who specializes in database infrastructure, with deep, hands-on expertise in MySQL. In this role, you will own the entire database infrastructure lifecycle-from infrastructure solution design, database cluster and replication installation and setup, performance tuning, automation, production deployment, and support.
Responsibilities:
* Be a key part of rapid development cycles to deliver high-quality infrastructure and products.
* Hands-on database infrastructure management, optimization, and maintenance, utilizing DevOps best practices and automation.
* Own and manage all databases across the organization, including Development, Staging, and high-availability Production environments.
* Cover critical database admin aspects: Security, Failover/Replication architectures, Scaling, and Performance Optimization.
* Incorporate modern DevOps tools, work procedures, best practices, and infrastructure-as-code architecture.
* Cooperate closely with R&D, QA, and the core DevOps teams to streamline DB deployments and CI/CD pipelines.
* Serve as the in-house subject matter expert on databases, mentoring and guiding developers and QA teams. Location: This is a full-time, on-site position in Jerusalem.

We are a software development company, specializing in sophisticated e-commerce solutions, is looking for a motivated, talented and skillful system Administrator. Among our customers are huge brands such as McDonald's, Azrieli, Aroma Israel, Shlomo Group, Grow, Htzone, NewDeli and more. This is a great opportunity to show your talent, work with amazing people, advanced technologies and big customers.

A student position at a digital marketing agency, designed for individuals looking to break into the worlds of digital marketing, performance marketing, and data through hands-on experience with advertising platforms, analytics tools, and AI technologies. The role includes independent work, exposure to leading media platforms, analytical tasks, and collaboration with campaign teams managing clients and budgets across a variety of industries. We’re looking for curious, detail-oriented individuals with strong analytical thinking skills, who are fast learners, capable of working independently, and attentive to the smallest details.

Responsibilities:

* Build and update campaigns based on structures defined by Campaign Managers.
* Upload ads across Google, Facebook, TikTok, and DV360 platforms.
* Write Google Search ads and create ad extensions.
* Perform ongoing QA and quality control checks on campaigns, ads, and data.
* Analyze data and generate reports from various analytics and advertising systems.
* Conduct competitor research and keyword research.

We’re looking for a Junior SEO / GEO Specialist with a technical mindset and passion for the evolving world of search and AI. You’ll work with advanced SEO tools, analyze websites and performance data, support technical optimizations, and explore emerging areas like GEO (Generative Engine Optimization) and AI-driven search platforms such as ChatGPT, Gemini, and Perplexity.

Responsibilities:

* Perform technical SEO audits and identify optimization opportunities
* Monitor crawling, indexing, and website performance issues
* Work with tools like Google Search Console, GA4, Screaming Frog, Ahrefs, and Semrush
* Support technical implementations such as schema, redirects, sitemaps, and robots.txt
* Analyze website structure, internal linking, and Core Web Vitals
* Research and test GEO (Generative Engine Optimization) and AI Search methods
* Use AI tools to improve research, analysis, and SEO workflows
* Collaborate with developers and internal teams on technical SEO tasks

We Are KPMG Israel KPMG Israel is more than a professional services firm, we are a community of people driven by impact. As part of a leading global network, we partner with the most influential organizations to drive large-scale business and technology transformation, combining strategic thinking, innovation, and advanced technologies. Guided by integrity, excellence, and forward thinking, we help organizations navigate complexity and create real change. Our people are at the center, with space to lead, experiment, and grow in a dynamic and collaborative environment that connects personal development with meaningful impact on the future of business and society We are looking for a passionate Elastic Engineer to join a dynamic, data-driven environment. This is a hands-on role focused on building advanced monitoring and cybersecurity solutions, working with large-scale data, and partnering with clients to deliver impactful insights and detection capabilities. Role Responsibilities
* Ongoing operation and maintenance of enterprise Elastic environments.
* Monitoring, alerting, and system management.
* Integration with other cloud and platform services.
* Load and performance testing.
* Design and implementation of Kafka-based ingestion pipelines into Elastic.
* Continuous improvement, stabilization, and optimization of the Elastic platform.

We are looking for best-in-class Physical Design Engineers to join our outstanding Networking Silicon engineering team, developing the industry's best high-speed communication devices, delivering the highest throughput and lowest latency! Come and take a part in designing our groundbreaking and innovating chips, enjoy working in a meaningful, growing and highly professional environment where you make a significant impact in a technology-focused company.

What you'll be doing:

You will be in charge of developing full-chip physical design methodologies, Physical Verification development and support through all the projects, Tapeout activities for implementation of networking chips and SOCs.

Work closely with Full Chip Layout owners and block owners, project managers to assure high quality and timely convergence.

Come up with unique and creative solutions to the state of the art FCL physical design problems that are needed for our chips.

We expect you to run, debug, and approve Physical Verification flows across multiple projects, ensuring strict adherence to our high standards.

Participating and developing flow and tool methodologies for fullchip, physical design verification across multiple projects.

As an AI/ML Solution Engineer in the AI-Native Development team, you will design and build AI-powered development pipelines, evaluate ML approaches for code generation and review, and drive the adoption of AI-assisted software development across the organization. You will work at the intersection of machine learning and software engineering - selecting the right models, feedback strategies, and evaluation frameworks to make AI-generated code reliable, high-quality, and trustworthy.

What you'll be doing:

Drive architecture, applied research, and hands-on development by defining and building AI-native software engineering solutions.

Design and build AI-powered development pipelines - from code generation and automated review to feedback loops and evaluation systems.

Evaluate and select ML approaches for specific problems: when to use LLM prompting vs. fine-tuning (QLoRA), classical ML (random forest, linear regression) vs. reinforcement learning, RAG vs. structured extraction.

Architect feedback and evaluation systems that measure and improve AI output quality over time.

Review and refine AI solution architectures - evaluate design decisions, identify weaknesses, propose alternatives with reasoning.

Lead proof-of-concept development to validate new AI/ML approaches for development tooling.

Collaborate with the core team to define risk-based development levels and calibrate AI review depth per level.

We are looking for a Senior Software Engineer to join the AIOps platform team and help build the core distributed systems that ingest massive telemetry streams from GPU clusters and operationalize predictive AI models at scale. You will work at the intersection of high-performance data engineering and production ML, turning research algorithms into reliable, mission-critical software.

What you'll be doing:

Architect and build an agentic AIOps system that autonomously monitors GPU fleet health, aggregates and correlates massive telemetry streams, surfaces intelligent alerts, and orchestrates multi-step diagnostic workflows and corrective actions - powering real-time dashboards, automated root-cause analysis, and proactive incident response.

Research, evaluate, and prototype data storage strategies and data representations across diverse database technologies and modalities, ensuring AI models are trained on high-quality, well-structured data that improves predictive accuracy and generalization.

High-Scale Engineering: Design distributed systems to handle the extreme telemetry density of large-scale AI clusters, ensuring efficient data ingestion, processing, and real-time analysis.

Instrument services with deep observability (metrics, logs, traces) to support rapid debugging and continuous performance improvement.

Build and own the model-serving infrastructure that operationalizes predictive algorithms at scale - packaging, versioning, deploying, and monitoring AI models in both SaaS and on-premises environments.

Contribute to the platform's core libraries and abstractions that accelerate development across the broader AIOps engineering team.

This role brings together horizontal ownership across engineering process, security coordination, developer productivity, DevOps, integration, and product usability. The leader will define clear operating models, remove execution friction across organizational boundaries, and ensure that DOCA software, tools, and workflows are robust, secure, integrated, and intuitive from development through deployment. The ideal candidate is comfortable leading people, working across engineering groups, understanding complex system-level software, and translating operational, security, integration, and usability challenges into clear priorities, ownership, and measurable improvements.

What you'll be doing:

Lead the DOCA Process and Productivity function, including cross-organizational process execution, DevOps, integration, UX/usability, security process coordination, and developer productivity initiatives.

Own and improve operating mechanisms across DOCA R&D, QA, release, security, integration, DevOps, lab infrastructure, and partner teams.

Serve as the Security Point of Contact for the DOCA framework, driving secure development workflows, vulnerability handling, security reviews, incident management, and alignment with NVIDIA security requirements.

Drive improvements in build, validation, release readiness, automation, CI/CD, lab workflows, deployment experience, documentation, and end-to-end engineering productivity.

Lead, mentor, and grow teams while helping the organization make multi-team workflows more predictable, transparent, secure, automated, accountable, and efficient.

In this role, you will define and deliver AI solutions that unify data across our infrastructure and engineering systems, enabling advanced analytics for production engineering teams through AI agents, copilots, and workflow automation. You will own solutions end to end, from architecture and development through deployment, maintenance, and continuous improvement, and help shape how ASIC networking product engineering uses AI to scale engineering productivity.

What you'll be doing:

Design, build, and maintain AI solutions that improve our division efficiency across production, characterization, analysis, and operational workflows.

Develop agentic analytics capabilities that enable engineers to query, analyze, and reason over ASIC data using AI agents and copilots.

Consolidate data from multiple infrastructure and engineering systems into scalable, reliable pipelines and reusable services.

Partner with production engineering teams to identify pain points, define high-value use cases, and deliver measurable impact.

Build and support tools for data access, automation, reporting, anomaly detection, and engineering insight generation.

Collaborate across our to align interfaces, improve data quality, and support scalable deployment models.

Drive continuous improvement through user feedback, monitoring, and roadmap planning.