Senior Platform Engineering Developer jobs at Jfrog in Dominican Republic

As a Director of Engineering at JFrog, you will...

• Define and drive the vision, strategy, and roadmap for the internal platform for Engineering, ensuring alignment with SaaS business goals.
• Build, lead, and mentor multiple cross-functional teams of developers and DevOps to deliver a scalable and reliable platform.
• Foster a culture of collaboration, automation, and continuous improvement within the engineering organization.
• Architect and deliver a self-service, developer-centric platform that simplifies development, SaaS management and production operations.
• Provide observability solutions to improve system reliability and visibility of our SaaS products and operations.
• Partner with engineering leaders, product teams, and business stakeholders to ensure platform capabilities align with SaaS growth and reliability goals.
• Stay ahead of industry trends in Platform Engineering, DevOps, and cloud-native technologies to continuously evolve the platform.

To be a Director of Engineering at JFrog, you need...

• 10+ years of experience in software engineering and/or DevOps, with at least 5 years in leadership roles managing multiple R&D and DevOps teams
• Proven track record of delivering scalable platform engineering solutions in complex environments or highly technical product ecosystems
• Strong understanding of cloud-native architectures, CI/CD pipelines, container orchestration (e.g., Kubernetes)
• Experience working in Agile or DevOps-focused organizations
• Exceptional leadership, communication, and stakeholder management skills
• Passion for empowering developers and enabling productivity through platform engineering
• Experience with multi-cloud environments (AWS, Azure, GCP) and hybrid cloud architectures
• Proficiency in Software Development: strong experience in building and managing scalable systems using languages such as Go, Python, Java, or Node.js

• 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

• Lead and scale a high-impact group responsible for JFrogML’s core platform, infrastructure, developer productivity, and tooling .
• Own and evolve multi-cloud architecture and services , ensuring reliability, scalability, and performance across AWS, GCP, and Azure.
• Drive technical strategy and execution for platform components that serve as the foundation for all ML features and workflows .
• Collaborate closely with Product, Security, and Customer Success to deliver enterprise-grade, compliant, and secure solutions .
• Champion developer experience and internal tooling , creating a highly productive and enjoyable environment for engineers company-wide.
• Recruit, mentor, and grow a team of passionate engineers and managers focused on technical excellence and speed of delivery.
• Foster a culture of bold ownership, radical accountability, and a desire to win big .

• 10+ years of software engineering experience, including 5+ years of experience leading engineering teams and managers .
• Proven success delivering complex cloud-native products at scale , ideally in SaaS or ML-focused environments.
• Deep understanding of cloud platforms (AWS, GCP, Azure) , infrastructure-as-code, and observability best practices.
• Experience building and running high-performing platform engineering teams supporting multiple product lines.
• Strong grasp of developer productivity tooling and modern CI/CD practices.
• Track record of ownership, delivery, and operational excellence in fast-paced product organizations.
• Excellent communication, leadership, and collaboration skills.

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