דרושים Finops Engineer ב-Jfrog ב-Dominican Republic

• Join a high-impact team dedicated to improving lead conversion rates and enhancing user experiences on our platform
• Take the lead on back-end architecture, leveraging Node.js and Java while introducing microservices, optimizing performance, and ensuring system reliability
• Drive the development of robust, high-quality software with strong test coverage and engineering best practices
• Collaborate through peer code reviews that promote knowledge sharing and continuous improvement
• Own the full development lifecycle – from shaping feature design to deploying and supporting production systems
• Build intuitive and responsive user interfaces with Vue.js that deliver personalized and data-driven user experiences
• Become the technical authority in your domain, guiding decisions and mentoring peers as the go-to expert
• Work closely with other development teams, as well as marketing and sales teams, to incorporate their requirements into your solutions

• 4+ years as a Full Stack Engineer
• Deep knowledge and hands-on experience with design patterns, data structures, and software design methodologies
• Proven experience with Single Page Applications (SPAs) in production – Vue.js/React/AngularJS/Angular
• Back-end experience with Node.js or Java
• Experience with TypeScript
• Experience with Docker, Kubernetes (K8s), Microservices
• A data-driven mindset with an understanding of how to leverage data to drive decisions and measure success
• Strong communication and collaboration skills to work effectively with cross-functional teams including marketing and sales
• A strong focus on delivering value to end users

• Build and maintain cloud cost and usage visibility, providing summaries and detailed usage statistics for resources across the public clouds.
• Analyze cloud cost and business data, and propose solutions to problems using advanced analysis methods.
• Collaborate with the development and finance teams on cost optimization, budget, forecasting, and showback.
• Build a strong correlation between cloud cost and the business usage data represented in a unit economics model.
• Develop and track key metrics and performance indicators to evaluate and maintain cloud spend health.
• Create real-time alerts based on the data models to identify anomalies in the cloud spend.
• Effectively use cloud cost management tools.
• Support cloud tagging strategies and ensure accurate cost attribution across teams and products.

• Bachelor's degree in computer science or engineering, or equivalent experience in a quantitative field (Computer Science, Industrial Engineering, etc…) with 3+ years of work experience in data modeling and analysis
• Experience in financial analysis and cloud cost management
• Proficient hands-on experience with Python, Databases, and SQL
• Experience with data modeling and analytical tools
• Experience with data visualization tools (Tableau, Qlik, PowerBI, etc.)
• Experience working with business units and presenting the results to stakeholders
• Proven ability to work independently; delivery-oriented

As a core member of the team, you’ll tackle meaningful and engaging challenges across a diverse technological stack.

• Be an integral part of a highly skilled team working to build the leading MLOps platform in the industry.
• Maintain and evolve the Runtime team’s 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.

• 5+ years of proven experience in software development.
• Strong background in designing, developing, and debugging complex distributed systems (e.g., microservices, event-driven architectures).
• Hands-on experience with containerized environments, microservices, and Kubernetes.
• Proven experience with at least one major cloud provider (e.g., AWS, GCP, Azure).
• Ability to lead technical discussions, mentor engineers, and drive architectural decisions.

• Experience in designing, structuring, and maintaining Python SDKs.
• Background in building tools for Data Science or Data Engineering.
• Familiarity with observability or automation tools.
• DevOps experience.

• Develop and implement robust tools for automated testing (Linux Shell, Java/Groovy, Docker, Kubernetes)
• Analyze production environments to identify potential improvements and optimizations
• Create tools for analyzing and inspecting customer production usages
• Actively participate in development cycles to deliver high-quality products
• Investigate software issues stemming from testing
• Write detailed documentation on customer behaviors, usages, and metrics
• Collaborate closely with developers and support teams regarding customer deployments

• 7+ years experience in QA testing, including automation and manual testing
• Strong bug detection abilities with a focus on root cause analysis
• Experience with CI/CD tools such as Jenkins, GitHub Actions, TravisCI, or similar
• Proficiency working with testing frameworks such as Selenium, Cypress, or Playwright
• Experience with containerization and orchestration using Kubernetes and Docker
• Experience in writing automation tests for applications in Linux/Unix environments
• Strong track record in working with metrics-based monitoring solutions like Prometheus and Grafana
• Knowledge of logging systems and flows; familiarity with Coralogix is a plus
• An analytical approach to troubleshooting and problem-solving
• Ability to manage multiple projects under tight deadlines
• Self-learner and independent executor

• Participate in the architecture and development of the JFrog Security platform, focusing on cloud-based systems that handle high volumes of data across various components and flows
• Write high-quality, testable, and efficient code within our security suite services while ensuring a seamless user experience
• Initiate and promote new ideas for continuous product functionality improvements, focusing on high performance and scalability to exceed user expectations

• 5+ years of experience in software development, particularly in back-end development
• Proficiency in programming languages such as Go, Python or Java
• Proven experience in development within complex systems, preferably in cloud-based products, including microservices architecture
• Experience in modern CI practices and tools

• Be responsible for all development aspects from design to production of a cloud-native product
• Write high-quality, testable and efficient code in Java and Go.
• Initiate and promote new ideas for continuous improvement of product functionality.
• Work closely with team members and product colleagues.
• Participate in the architecture and development of the JFrog DevOps core products
• Design, develop, and maintain back-end services.
• Write high-quality, clean, efficient, and maintainable code while adhering to best practices and coding standards.
• Stay up-to-date with industry trends and emerging technologies related to DevOps and the software development lifecycle.
• Contribute to architectural discussions and design sessions to promote scalability and maintainability.

• 3+ years of programming experience in back-end technologies and languages (Java/Go/C#/..)
• Familiarity with database technologies
• Solid architectural understanding of web applications and APIs
• Experience with concurrency – big advantage
• Experience with production mission-critical systems – advantage
• Good exposure with modern DevOps tools like Docker, Kubernetes, Helm, Shell Scripting, CI/CD – advantage

In this role, you’ll build cutting-edge AI infrastructure, design and develop core components such as model serving, prompt management, guardrails, gateways, and evaluation frameworks. You’ll help provide organizations with the precise tools to integrate and maintain GenAI into their workflows, ensuring scalability, compliance, and an excellent developer experience.

• Design and develop the infrastructure of our new GenAI solution.
• Develop and manage components such as prompts, guardrails, and model gateways, tracing and evaluation frameworks.
• Collaborate with cross-functional teams on shaping how AI applications are structured and managed.
• Stay up to date with the latest advancements in GenAI infrastructure, tooling, and frameworks, integrating industry best practices.

• 5+ years of experience as a Software Engineer
• Experienced in designing, developing, and debugging complex, distributed systems (microservices, event-driven)
• Proven hands-on experience in containerized environments, microservices and Kubernetes
• Experienced with at least one of the main cloud provider platforms (e.g. AWS, GCP)
• Experience with designing, structuring, and maintaining Python SDKs
• Familiarity with AI application development frameworks and tools (e.g. LangChain, OpenAI, Hugging Face, MLflow)
• Experienced in Java and Python

• Experience working with AI Agents and LLM-based application frameworks
• Background in data engineering, feature stores, or vector databases for AI workloads