דרושים Experienced Developer Support Engineer ב-Jfrog

• Troubleshoot and Investigate complex customer’s CI/CD scenarios and provide innovative solutions for their requirements
• Develop scripts in Bash, Python, Groovy for debugging and automating
• Set up JFrog applications and 3rd party products in various development environments
• Analyze log files, thread dumps, HTTP traffic, JVM and OS parameters
• Reproduce customer scenarios and fill relevant bugs/features
• Maintaining and improving a knowledge base of known issues and solutions
• Integrate and collaborate with JFrog’s R&D, QA, Release and Sales teams
• Ability to work in flexible hours and weekends while needed

• BSc or equivalent in Computer Science or Computer Engineering
• 2-4 years experience in customer-facing roles - Mandatory
• Able to manage complex, escalated cases, involving multiple architectures across multiple platforms
• Experience in Linux - Mandatory
• Strong technical software-related debugging skills - Mandatory
• Understanding of Java or other compiled language - Mandatory
• Knowledge/experience with databases, LDAP, NGINX, Apache Tomcat - Advantage
• Experience in DevOps industry - Advantage
• Excellent spoken and written English

• Design, Support, maintain, and improve IT infrastructure (Cloud Security, Wired and Wireless Networks, ZTNA, Cloud services and more).
• Contribute to the fast growth by automating processes, designing fully redundant solutions, improving monitoring & alerting, and more.
• Take part in complex IT Infra projects globally.
• Evaluate and implement new industry tools and solutions.
• Support local and remote IT Teams and end-users with complex IT Infrastructure related issues.

• 5+ years of hands-on experience in cloud infrastructure, DevOps and platform engineering in production environments.
• Cloud Platforms and IaC: Expertise in managing cloud infrastructure on at least one of the major providers: AWS, GCP, Azure. Proficient in Infrastructure as Code tools such as Terraform or CloudFormation.
• Containerization & Orchestration: Solid experience with Docker and Kubernetes.
• Monitoring & Logging: Hands-on experience with monitoring tools (Prometheus, Grafana) and logging systems (ELK, Coralogix or equivalent).
• Scripting abilities in Python, Bash, or Go. Full control of version control systems such as Git.
• DevOps Tools: Strong experience with CI/CD pipelines and automation using Jenkins, GitHub Actions, GitLab CI, or similar.
• Networking: Strong understanding of cloud networking, VPNs, VPCs, DNS, and firewalls.
• Security Best Practices: Experience implementing cloud security best practices, including IAM, encryption, IDP (Okta), key management etc.
• Team Player: Strong communication skills and ability to work cross-functionally with different teams.
• Problem-solving skills in complex technical environments

This role requires the experience and skills to design and build key components and infrastructure for our global data teams (Data engineering, BI, Data science) with experience in designing, building, and maintaining streaming data pipelines and data lake architectures, together with hands-on expertise with technologies like Apache Spark, Kafka, and cloud-based data lake implementations.

• Build Infrastructure to empower our Engineers/Data Scientists/BI teams to work by best practices of data processing
• Work in a high-volume production environment
• Develop and manage ETL/ELT processes for structured and unstructured data
• Collaborate with colleagues both locally and in remote locations
• Influence the software architecture and working procedures for building data and analytics
• Ensure data quality, integrity, and security within the data pipeline and data lake
• Monitor, troubleshoot, and optimize data workflows to improve performance and reliability.

• 4+ years in Data/Backend engineering with experience in designing, developing and optimizing streaming data pipelines using Apache Spark, Kafka, or similar technologies.
• Dealing with data on high volume, high availability production systems
• Practical experience with Python in the domain of data pipelines.
• Experience with cloud-based data lake architectures (AWS S3, Google Cloud Storage).
• Exposure to DevOps practices, CI/CD pipelines, and infrastructure as code.
• Excellent problem-solving skills and the ability to work in a collaborative environment.

• Lead, mentor, and grow a team of senior product managers to deliver exceptional results.
• Define and drive the strategic vision for your product area, aligning with the company’s pillar goals.
• Identify opportunities and iterate product decisions through customer feedback, market research, UX studies, and usage metrics.
• Own the full product lifecycle — from ideation to launch — ensuring high-quality execution and alignment with customer needs.
• Collaborate with technical teams, business stakeholders, and cross-functional product leaders to deliver a unified development platform.
• Build and nurture relationships with key partners, leading collaborative conversations to drive mutual success.
• Continuously assess business priorities, define milestones, and identify risks and opportunities for growth.

• Strong leadership and mentorship skills
• 4+ years of direct management of product managers
• 6+ years of product management experience in a tech company
• Experience in working on a wide-scale product with thousands of customers in collaboration with other product groups
• Experience in delivering UI/UX research and design
• Technical experience in Engineering, DevOps, SRE and Tech Support - advantage
• Data-driven decision-making skills with a passion for building customer-centric products
• Excellent interpersonal and communication skills, with the ability to drive agendas across diverse stakeholders and foster effective collaboration with partners