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We're looking for a passionate and innovative Software Engineer to join our FastCI team - the force behind AI-powered CI/CD optimization platform. You'll help build a product that automatically detects CI pipeline bottlenecks, generates actionable insights, and leverages AI agents to deliver fixes. FastCI turns CI maintenance from a reactive chore into a self-healing, intelligent system. This is a rare opportunity to work at the intersection of developer tooling, observability, and applied AI, shipping technology that impacts millions of builds every day.
As a Software Engineer, you will
Embrace an agile, entrepreneurial environment with the strategic advantage of selling to Fortune 500 companies
Develop advanced system-level performance tools for optimizing critical software processes
Design and implement intelligent engines that enhance development commands and workflows
Architect high-performance caching strategies to maximize efficiency across development cycles
Create seamless integrations with widely-used developer tools and platforms
Build scalable, multi-language solutions supporting diverse technology stacks

We are looking for a skilled and highly motivated senior software engineer to join and play an integral role on the Runtime team, part of the MLOps group at JFrog ML. This team is responsible for building high-quality, enterprise-grade deployment and serving infrastructure for classic ML models and LLMs - ensuring they are efficiently deployed, monitored, and scaled to handle millions of requests across multiple cloud platforms, including GPU-powered machines. As a core member of the team, youll tackle meaningful and engaging challenges across a diverse technological stack.

We value creative, fast learners and independent thinkers who are proactive, collaborative, and capable of driving tasks from concept to production

As a Senior Software Engineer at JFrog ML you will...
Be an integral part of a highly skilled team working to build the leading MLOps platform in the industry
Maintain and evolve the Runtime teams products, ensuring their reliability and scalability.
Design and develop a complete hosting system that supports various types of inference, analytics, monitoring, distribution, and more - enabling customers to run large-scale real-time, batch, and streaming ML pipelines
Play a key role in shaping our cross-company engineering culture
Conduct high-quality design reviews with a strong emphasis on scalability, maintainability, security, and sound use of design patterns
Write maintainable, well-tested code in multiple programming languages.
Continuously improve the efficiency, scalability, and stability of critical system components

we are looking for talented, highly motivated Senior Java Software Engineers to join our Cloud Analytics group. If youre passionate about building modern cloud architectures and enjoy solving complex engineering challenges, this role is for you.
You will help design and develop large‑scale, AWS‑based systems that power the global company CXone cloud platform. The applications you build are deployed across multiple regions and support hundreds of enterprise customers worldwide.
How will you make an impact?
Design and implement scalable microservices using AWS technologies.
Develop high‑quality services in a Java Spring Boot environment.
Participate in the full feature lifecycle-from design to implementation.
Analyze requirements and create clear, comprehensive design documentation.
Review and refine designs with peers and stakeholders.
Collaborate closely with the team to iterate on architecture and features.
Apply agile methodologies with AI tools to deliver reliable, high-impact capabilities efficiently.

We're looking for top-notch, passionate Software Engineer to be part of our world-class Engineering team. If you think you can handle a wide range of technologies, pushing code to production several times a day, working on a different part of our product code with every new task you get, and using the best practices in the industry? Please contact us!
You will -
Participate in designing and developing products in multiple technologies, no code ownership environment
Design and develop modules for a high-end product that serves billions of transactions a day
Deploy your code to production in a continuous manner
Be responsible for the healthiness of your application in production
Work with product managers to define, prioritize and finalize features
Carry out full-stack, end to end development

The DevOps Engineer builds, automates, and operates cloud‑native infrastructure across AWS and Red Hat OpenShift, enabling scalable, secure, and reliable application delivery. This role combines hands‑on platform engineering, CI/CD automation, container orchestration, and the integration of AI‑powered tools for observability, anomaly detection, and operational efficiency. The engineer collaborates closely with development, security, and SRE teams to streamline deployments and improve system resilience.
Core Responsibilities
Cloud & Platform Engineering
Design, deploy, and maintain cloud‑native infrastructure on AWS (EC2, VPC, IAM, EKS, S3, RDS, Lambda).
Operate and optimize Red Hat OpenShift clusters, including cluster upgrades, operator management, and workload orchestration.
Implement Infrastructure‑as‑Code using Terraform, CloudFormation, or Ansible.
Build secure, scalable network architectures including VPC design, load balancing, service mesh, and ingress/egress controls.
CI/CD & Automation
Develop and maintain CI/CD pipelines using GitHub Actions, GitLab CI, Jenkins, or Argo Workflows.
Automate build, test, and deployment workflows for microservices and containerized applications.
Implement GitOps practices using Argo CD or Flux.
Create reusable automation modules and scripts in Python, Bash, or Go.
Containers & Kubernetes
Manage containerized workloads using Docker, Kubernetes, and OpenShift Operators.
Configure namespaces, RBAC, secrets, ConfigMaps, and resource quotas.
Troubleshoot cluster performance, networking, and scheduling issues.
Support service mesh technologies (Istio, Linkerd) when applicable.
AI‑Driven Operations
Integrate AI/ML‑based tools for monitoring, anomaly detection, predictive scaling, and automated remediation.
Work with data and platform teams to operationalize AI/ML pipelines on Kubernetes or OpenShift.
Evaluate emerging AI‑Ops platforms and contribute to automation strategies.
Observability & Reliability
Implement monitoring, logging, and tracing using Prometheus, Grafana, ELK, Loki, CloudWatch, or Datadog.
Build alerting, dashboards, and SLO‑based reliability metrics.
Participate in on‑call rotations and incident response, driving root‑cause analysis and long‑term fixes.
Security & Compliance
Apply DevSecOps practices including image scanning, secrets management, and policy enforcement.
Work with security teams to implement IAM best practices, encryption, and compliance controls.
Integrate tools such as Vault, OPA/Gatekeeper, or Kyverno.

We are looking for an experienced C++/Swift Software Developer to join the macOS Agent Team.
Job Id: 23774
This role is ideal for a motivated developer with strong technical foundations, a proactive mindset, and the ability to take ownership of complex tasks. You will work on core components of our macOS SASE agent, collaborating closely with other agent teams and backend groups to deliver secure, high-performance solutions used by customers worldwide.
About Us:
We are a global leader in cyber security, driving innovation in the SASE space. SASE combines cloud-based security with advanced on-device protection to enable secure, seamless connectivity in todays remote and cloud-first world. Our macOS SASE agent is a critical part of this vision.
Key Responsibilities
Your Impact & Responsibilities:
Develop and maintain scalable, secure, and high-performance macOS SASE agents
Implement features in Swift and C++ in a complex, multi-threaded environment
Collaborate with other agent teams and backend teams on cross-platform and end-to-end solutions
Take part in research, POCs, and adoption of new technologies
Participate in design discussions and contribute to system architecture decisions
Show initiative, ownership, and a strong drive to improve product quality and team processes.

Working directly with clients to understand their requirements and provide technical guidance. Designing, developing, and maintaining scalable Node.JS/TypeScript applications and solutions. Managing your own workload and delivering projects independently. Communicating technical concepts clearly to both technical and non-technical stakeholders. Participating in code reviews and contributing to best practices within the team.

Working directly with clients to understand their requirements and provide technical guidance. Designing, developing, and maintaining scalable Python applications and solutions. Managing your own workload and delivering projects independently. Communicating technical concepts clearly to both technical and non-technical stakeholders. Participating in code reviews and contributing to best practices within the team.

Leading technical architecture and design decisions for Python applications. Working directly with clients to understand their requirements and provide technical guidance. Designing, developing, and maintaining scalable Python applications and solutions. Mentoring team members and conducting code reviews. Managing your own workload and delivering projects independently. Communicating technical concepts clearly to both technical and non-technical stakeholders. Contributing to best practices and technical standards within the team.

we are a dynamic Fintech-travel startup headquartered in Tel Aviv, with a global presence in Argentina, Spain, the UK, the US, and India. Leveraging cutting-edge technology, our company addresses evolving challenges in the travel industry, generating an impressive $12 Billion in sales annually. As a pioneer in the field, we are committed to delivering real financial value to our extensive network of clients.
As a Platform Engineer at our company , you will be responsible for managing and optimizing our cloud infrastructure, ensuring smooth deployment and operation of our software systems. With a strong emphasis on Azure cloud infrastructure, you will play a crucial role in enhancing our development processes, automating workflows, and maintaining the reliability and scalability of our services. If you have at least 2 years of experience in a large-scale software development environment and a proven track record with Azure, we want to hear from you. As part of the role you will have the opportunity to
Architect, build, and automate scalable Azure cloud infrastructure across compute, networking, storage, security, and identity components
Take ownership of core platform domains across the company, including Cloud Infrastructure, SecOps, Observability, DataOps, and FinOps
Collaborate closely with R&D, security, and data teams to deliver reliable, secure, and scalable platform solutions
Manage, monitor, and optimize multiple production and non-production environments at scale
Implement infrastructure automation, operational tooling, and platform best practices
Implement and maintain security, compliance, and Zero Trust principles across infrastructure and engineering processes
Design and maintain resilient and scalable data infrastructure, including SQL Server, Azure SQL, and supporting cloud data services
Build and enhance monitoring, logging, alerting, and visibility capabilities across systems and services
Troubleshoot and resolve complex production infrastructure and platform issues
Stay current with Azure services, platform tooling, and emerging cloud and DevOps technologies
*This role includes periodic on-call responsibilities, which may include coverage during weekends and scheduled vacations.

Required Software Developer
Israel: Tel Aviv/ Hybrid (Israel)
R&D | Full Time | Job Id: 25401
Why Join Us?
We are looking for a passionate developer to take part in the development of our hyper-scale and virtualization platforms, protecting our largest customers around the world.
Join a team of driven creative minds united in delivering innovative ultra-high-end scalable platforms providing protection against the ever-changing threat landscape with uncompromising performance, uptime, and scalability.
Key Responsibilities:
Be part of the Hyperscale development group responsible for leading and developing our Ultra-High-End platforms.
Develop infrastructure supporting high-speed/high-performance distributed computing clusters.
Design and develop user-space utilities enhancing installation, upgrades, monitoring, diagnostics, synchronization and more.
Work closely with QA, support, and other R&D teams on development and rising issues.
Lead the adoption of AI-assisted development and intelligent automation across the codebase, designing and implementing AI-driven workflows that improve engineering productivity, code quality, and product capabilities.
Demonstrate strong research quality, driving well-informed technical decisions and solutions.
Lead projects end-to-end, collaborating closely with cross-functional teams to ensure successful delivery.

As part of the team, you will be responsible for developing, testing, improving, and maintaining new and existing solutions to help users retrieve data effectively.
What am I going to do?:

* Build and maintain ETL processes to integrate data from various sources.
* Transform and model data models, design the schemas, and maintain the data layers within the data warehouse using dbt
* Manage the data warehouses to support analytical reporting and Real-Time needs.
* Develop, optimize, and manage database entities.
* Translate business requirements into data model implementations.
* Ensure data accuracy and enforce governance policies through data quality checks and validations.
* Work closely with cross-functional teams, including data Engineers, Business Analysts, Products, and RND, to gather and understand data requirements and implement development in order to support their data needs
* Evaluate and implement new tools and technologies to enhance data processes and capabilities.
* Coordinate and deliver data development projects, ensuring they are completed on time and meeting quality standards.
* Identify and resolve data -related issues and discrepancies. Provide support for data incidents and troubleshoot problems as they arise.
* Stay updated with the latest trends and technologies in the data filed
* Suggest design, product, and process changes for better efficiency and effectiveness.
Equal opportunities:
At our company, we prioritize diversity. We celebrate difference and embed it into every aspect of our workplace and product, as well as our community. we are proud and committed to providing equal opportunity employment to all individuals regardless of race, color, religion, sex, sexual orientation, citizenship, national origin, disability, Veteran status, or any other characteristic protected by law. In addition, our company will provide accommodation to individuals with disabilities or a special need.

What We're Looking For
Role Overview: You will take ownership of the search infrastructure for Ask our company - a financial intelligence platform powered by LLMs. Your main goal is to ensure our AI agents can find the exact financial data they need (articles, transcripts, news) in milliseconds. You will work on the Retrieval layer of our RAG architecture, combining traditional text search with modern vector search techniques.
Tech Stack: Elasticsearch (v8+), Python (FastAPI, Asyncio), OpenAI Embeddings, LangChain, LangSmith.
What You'll Do
Search Engine Development: Design and implement Hybrid Search strategies. You will figure out how to best combine "keyword matching" (finding specific tickers like 'AAPL') with "semantic search" (finding concepts like 'revenue growth').
Relevance Tuning: You are responsible for the quality of search results. You will build systems to measure and improve how well the search engine answers user queries (using tools like LangSmith).
Vector Search & RAG: Manage the integration of OpenAI embeddings into Elasticsearch. You will solve challenges related to indexing long documents (e.g., earnings transcripts) so the AI retrieves only the most relevant parts.
Performance Optimization: Optimize Elasticsearch queries and index settings to ensure low latency, even for complex queries with many filters.
Python Backend: Develop and maintain the Python services that build queries and process results. We use FastAPI and Asyncio heavily.

We are looking for a Staff Engineer who will act as a technical owner and multiplier-driving architecture, influencing the roadmap, and ensuring our APM platform remains robust, scalable, and easy to adopt and our customers grow.
Staff Engineers are expected to deliver impact through technical leadership, not just individual contribution. This role offers the opportunity to shape a foundational observability product used at massive scale.
operates as a hybrid workplace, valuing in-person collaboration while supporting work-life balance.
What Youll Do:
Own major technical areas of the zero-instrumentation APM system, from design through long-term evolution and operational maturity
Define and drive architecture for kernel-level traffic capture, L7 protocol decoding, and metric extraction using eBPF and Go
Lead high-impact initiatives addressing protocol parsing, TLS visibility, kernel compatibility, and performance at scale
Set technical direction and standards for reliability, performance, and maintainability across the team
Partner cross-functionally with Agent, Tracing, Security, Runtime, and Product teams to align on system design and roadmap priorities

Were looking for product-minded engineers who are excited about developer tools, SDLC improvements and AI in general to help us quickly define and ship features and tools that make all Datadog customers 10x developers.
What Youll Do:
Work on agents, prompts, evals, MCPs and direct agent tools from ideation to productization, for allowing Datadog to help companies and developers to maximize the benefit of their integration with Datadog
Help conceptualize and build innovative User flows and experiences within Datadogs user space and different extensions
Prototype and see what works well in the real world, iterate closely with our users, and then ship
Follow the latest research on LLM prompt optimization, agents, and code editing.
Support other Datadog product teams to help them build and productionize their developer-focused AI Workflows. For example, youll work with the Live Debugger team to create an agentic production debugging experience, delivering on the vision of one click to reproduce for production errors.