דרושים Senior Software Architect ב-Jfrog ב-Dominican Republic

• Design and implement our new ML data offerings from scratch
• Improve and scale the existing Feature Store Data Pipelines for performance, reliability, and usability
• Develop efficient, scalable data storage solutions for datasets and features
• Build robust APIs and services to manage the full lifecycle of datasets and features—including versioning and access control
• Ensure data integrity, security, and validation across our platforms
• Define and uphold engineering best practices in data management and software development
• Collaborate cross-functionally with product, ML, and platform teams
• Mentor junior engineers and help shape our engineering culture

• 5+ years of experience as a Software Engineer in data-intensive or platform-focused environments
• Expert knowledge in designing and building large-scale software systems from the ground up
• Strong programming skills in languages such as Python and Java
• Deep knowledge of data storage technologies —including relational (SQL), NoSQL, and data lakes
• Strong architectural thinking and problem-solving skills
• Passion for clean, maintainable, and scalable code

• Experience with data lineage, governance, or cataloging tools
• Familiarity with ML pipelines and model lifecycle management
• Hands-on experience with Docker and Kubernetes
• Knowledge of performance optimization techniques for large-scale systems
• Experience with data visualization tools and techniques

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.

• Lead the full design cycle (UX & UI), from discovery to ideation, validation, and pixel-perfect UI design for development
• Solve complex product challenges within JFrog’s SaaS platform
• Validate designs through mockups, prototypes, and usability tests, iterating rapidly based on feedback
• Be the user advocate in your squad, and promote the UCD mindset amongst your peers to create data-driven, user-centered solutions
• Identify opportunities for improvement in work processes and collaborations, and actively lead efforts to promote solutions across teams
• Collaborate with and support your fellow designers by sharing knowledge and best practices
• Work with and contribute to our Design System and ensure user experience consistency across the platform

• At least 5 years of experience as a UX/UI Designer or Product Designer in-house at a B2B/B2C product company, working on complex SaaS solutions – a must!
• Strong expertise in user-centered and data-driven design methodologies
• High proficiency in Figma, including UI design, prototyping, and working with Design System components
• Experience in defining and leading design work processes, while advocating for a UCD mindset
• Technical proficiency with the ability to build for and understand complex, technology-driven domains
• Excellent communication, presentation, and collaboration skills.
• Fluent in English (both written and spoken), with the ability to clearly communicate and present design concepts

• 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

In this dynamic, fast-paced environment, you will collaborate with other data professionals to create robust, scalable data solutions. You will be responsible for architecting, designing, and implementing data pipelines that ensure reliable data ingestion, transformation, and storage, ultimately supporting the production of high-performance ML models.

• Design and implement large-scale batch & streaming data pipelines infrastructure
• Build and optimize data workflows for maximum reliability and performance
• Develop solutions for real-time data processing and analytics
• Implement data consistency checks and quality assurance processes
• Design and maintain state management systems for distributed data processing
• Take a crucial role in building the group's engineering culture, tools, and methodologies
• Define abstractions, methodologies, and coding standards for the entire Data Engineering pipeline

• 5+ years of experience as a Software Engineer with focus on data engineering
• Expert knowledge in building and maintaining data pipelines at scale
• Strong experience with stream/batch processing frameworks (e.g. Apache Spark, Flink)
• Profound understanding of message brokers (e.g. Kafka, RabbitMQ)
• Experience with data warehousing and lake technologies
• Strong Python programming skills and experience building data engineering tools
• Experience with designing and maintaining Python SDKs
• Proficiency in Java for data processing applications
• Understanding of data modeling and optimization techniques

• Experience with ML model deployment and maintenance in production
• Knowledge of data governance and compliance requirements
• Experience with real-time analytics and processing
• Understanding of distributed systems and cloud architectures
• Experience with data visualization and lineage tools/frameworks and techniques

• Define the QA strategy, approach, standards and execution to quality testing across our suite of products and collaborate with other leaders to build the JFrog approach
• Continually improve the operational efficiency and effectiveness of the QA effort by assessing current quality assurance practices and incorporating new strategies
• Build new performance and scale testing and choose tools to ensure the optimal performance of code
• Design and build our automation infrastructure framework and its building blocks
• Oversee product release quality and risks in our self-hosted and SaaS products
• Define and implement quality metrics and reporting mechanisms
• Continually improve the operational efficiency and effectiveness of QA by assessing current quality assurance practices and incorporating new strategies

• 7+ years of experience leading and owning the product QA domain
• 4+ years of experience managing performance and scale testing of environments and best practices
• Hands-on experience building test plans and automation scripts, and related frameworks
• Hands-on experience working with Linux, including scripting skills and CI tools in a cloud environment, including with Kubernetes and Docker
• Experience leading the quality of both SaaS and self-hosted enterprise products used by thousands of customers, at a very high scale
• Experience in managing functional and non-functional testing; performance, stability and upgradability testing
• Tools experience: Playwright, Cypress, Applitools, Gatling, Jmeter, Artillery - An advantage
• DevOps experience - An advantage
• Production Saas Environment in scale / Kubernetes experience - An advantage