DevOps and Data Engineer

Weebit Nano Ltd · hodhasharon

Job Brief Design, develop, and maintain internal data services, automation flows, CI/CD infrastructure, and database-related tooling. Job Description Design, develop and maintain data pipelines, ETL/ELT flows, and integrations between internal engineering systems Design and own the DevOps framework for the company and enable the automation infrastructure used by engineering teams Build automation tools to improve data processing, tooling, and development workflows Develop and help optimizing the in-house database-related services, including SQL queries, indexing, stored procedures, performance tuning, and monitoring Ensure data security, permissions, access control, and data integrity across internal systems Collaborate with cross-functional teams to understand requirements, solve technical issues, and improve internal developer and customer-facing platforms Required Skills and Experience Bachelor’s degree or higher in Computer Science, Software Engineering, EE, Information Systems, or a related field Minimum 8+ years of experience as a Dataflow and DevOps development, Backend Engineer, Data Engineer, or similar role Strong experience with Python Strong SQL skills, including query optimization, indexing, stored procedures, and performance tuning Experience with ETL/ELT processes, data pipelines, and integration between systems Strong experience with automation scripting language (ex: Groovy), data processing, and tooling Experience with Docker, Kubernetes, Jenkins and CI/CD frameworks Familiar with developing in Linux and Windows environments Experience with backup, restore, migration, monitoring, and database maintenance processes Understanding of data security, permissions, access control, and data integrity practices Experience with Git, Jira, and Agile development workflows High English skills: listening, speaking, and reading (C1-2) Nice to have: Past experience with CloudBees, Antifactory, and integrating them into a secure system Strong experience with relational databases such as PostgreSQL and Pgvector, MySQL, and NoSQL Experience with cloud database services such as AWS RDS, Azure SQL, Google Cloud SQL, or similar Experience with database schema design, data modelling, and database normalization Experience with AI agents and AI automation Familiarity with database replication, clustering, high availability, and disaster recovery Experience with BI/reporting tools or data visualization platforms Experience with backup solutions and backup strategies Experience working in an R&D, semiconductor, embedded systems, or hardware/software engineering environment Experience and background in MAL, datasets, and MAL Python libraries. Experience in JAVA

Apply »