Data Engineering Lead Hands-on 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.

• 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

• Lead a team of experienced malware researchers to discover malicious code in open source & new supply chain attack techniques
• Research malicious code in public repositories from various coding languages and technologies
• Define and implement ways to automatically detect malicious code in open-source software
• Write technical reports and outward-facing publications regarding all research subjects mentioned above
• Present your team’s research in local and international security conventions

• Malware research experience in all of the following languages:
• Python – 3+ years
• Node.JS – 3+ years
• Advantage – Native code (C, C++), C#, Java, Go
• Programming experience in Python
• Experience in a managerial role
• Experience in writing technical reports
• Advantage – Experience in binary reverse engineering
• Advantage – DevOps experience

About the role

You will collaborate directly with cross-functional teams, including product managers, engineers, and AI experts, to create clear, accurate, and engaging documentation, such as API references, SDK guides, user manuals, and tutorials.

As a Technical Writer at JFrog you will…

• Collaborate with product managers, developers, and subject matter experts to gather requirements, create content outlines, and document new features.
• Write clean, structured, user-focused content, including user guides, API documentation, SDKs, tutorials, release notes, and more.
• Tailor content to meet the needs of user personas, emphasizing real-world use cases and user goals.
• Contribute to UX efforts by writing in-product microcopy and offering feedback on UI/UX improvements.
• Collaborate with other technical writers on maintaining and improving the documentation style guide, contributing to the design system, and updating the internal wiki.
• Leverage AI-powered tools to draft, review, and enhance documentation.

To be a Technical Writer at JFrog you need…

• 3-5 years of experience as a Technical Writer in an enterprise software
• English at native level
• Strong interpersonal skills with the ability to collaborate and build relationships with cross-functional teams
• Excellent writing skills, with the ability to structure content effectively and communicate technical information clearly
• Ability to work independently with a strong sense of responsibility and commitment
• Capable of working accurately and quickly with attention to detail
• Ability to multitask and meet tight deadlines, doing what’s required to release content on time

Advantages

• Experience with topic-based authoring and content reuse
• Experience with REST APIs, Open API 3.0 (Swagger)
• Technical knowledge or experience such as coding, networking, public clouds (GCP, AWS, Azure), or CLI / console
• Familiarity with AI/ML, DevOps, or Security processes
• Experience with tools including Paligo, Fluid Topics, Figma, Jira, Google Docs, Slack

• Architect and develop data pipelines – Lead the design and implementation of data pipelines that support JFrog's platform, ensuring high data quality, security, and governance. Introduce new tools and technologies to enhance data workflows and integration
• Develop a strategic roadmap that outlines key engineering solutions to support our platform’s scalability and performance, aligned with JFrog's overall vision and objectives
• Collaborate across teams – Work closely with internal teams including DevOps, BI, Product, and development groups to ensure seamless data integration and drive data-driven decision-making across the organization
• Establish data guidelines and documentation – Define best practices for data generation, consumption, and management within the platform. Create thorough documentation for all data processes to facilitate clear communication and future maintenance

• 5+ years hands-on proven experience designing, building, and optimizing scalable and highly available data-intensive systems
• In-depth understanding of big data engines and frameworks, such as Spark, and experience with ETL/ELT tools for robust data pipeline development
• Proven ability to lead initiatives and drive technical agendas in a hands-on capacity, with potential for team building in the future
• Knowledge of machine learning frameworks and strategic industry trends – a plus
• Strong business skills and strategic thinking, an innovative and growth mindset
• Strong interpersonal skills to collaborate with internal teams and external partners effectively