DevOps and Data Engineer

Our mission

Weebit Nano is a fast-growing semiconductor IP company at the forefront of advanced memory technology. Our embedded ReRAM is enabling new generations of AI, edge computing, automotive, industrial, and intelligent semiconductor products with lower power, higher performance, and greater scalability. As adoption accelerates, Weebit is expanding its global presence and building its world-class team to help drive the future of advanced memory and AI hardware.

About the role

The Weebit Nano Software group is looking for an experienced Dataflow and DevOps Engineer to design, develop, and maintain internal data services, automation flows, CI/CD infrastructure, and database-related tooling.

In this role, you will work closely with all Weebit teams to build reliable data pipelines, improve engineering automation, support database operations, and integrate internal systems. Your work will directly support Weebit Nano’s Evaluation Platform and help enable scalable, secure, and efficient development and customer delivery workflows.

What you’ll be doing

• 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

What we need to see

• 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)

Ways to stand out from the crowd

• 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

What you’ll love about your mission

You will help shape the future of Weebit Nano’s Evaluation Platform, which is used by customers working with advanced memory technology. You will join a software team in a ramp-up phase, where your technical decisions, strong communication, and collaboration skills can have real influence.

Your work will connect data, automation, DevOps, and customer delivery workflows, giving you the opportunity to build meaningful systems that improve how internal teams develop, integrate, and support products.

You will collaborate with talented teams across the organization, while being part of a fast-growing semiconductor IP company developing technology for AI, edge computing , automotive, industrial, and intelligent semiconductor products.