דרושים 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

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

• 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

• 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.

• Lead the DevOps team for JFrog ML and set strategy for infrastructure, release engineering, and system reliability
• Build and manage a multi-cloud infrastructure (AWS/GCP/Azure) using Infrastructure-as-Code and Kubernetes
• Ensure observability across all services — monitoring, logging and alerting — using tools such as Prometheus, Grafana, and ELK
• Partner with software engineers, product teams, and security to enforce governance, compliance, and performance standards
• Build internal tools and automation to streamline developer workflows and accelerate experimentation
• Hire, mentor, and grow DevOps engineers focused on innovation and operational excellence

• 7+ years of experience in DevOps, SRE, or infrastructure engineering, with 2+ years in a team lead role
• Expertise in Kubernetes, Helm, and cloud-native deployments
• Working knowledge in at least two of the main cloud providers (AWSGCPAzure) and experience with IAC tools like Terraform
• Strong scripting and automation skills (Python, Bash, or Go)
• Proven ability to scale infrastructure and improve reliability in fast-paced SaaS or platform environments
• Passion for creating great developer experiences through self-service tooling and automation.
• Excellent leadership, communication, and collaboration skills
• Hands-on experience with MLOps or GenAI workflows - An advantage

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.