Staff DevOps Engineer

Please Note:

To provide the best candidate experience amidst our high application volumes, each candidate is limited to 10 applications across all open jobs within a 6-month period. 

Advancing the World’s Technology Together
Our technology solutions power the tools you use every day--including smartphones, electric vehicles, hyperscale data centers, IoT devices, and so much more. Here, you’ll have an opportunity to be part of a global leader whose innovative designs are pushing the boundaries of what’s possible and powering the future. 

We believe innovation and growth are driven by an inclusive culture and a diverse workforce. We’re dedicated to empowering people to be their true selves. Together, we’re building a better tomorrow for our employees, customers, partners, and communities.

The Data Fabric Solutions is part of Memory Solution Lab in Samsung Semiconductors, the industry's technology and volume leader in Storage and Memory devices.  The Data Fabric Solutions (DFS) group pioneers and creates comprehensive software solutions that optimize data flow efficiency, transformation, and performance for client’s data-intensive applications, leveraging Samsung’s world-leading SSDs, Memory, and Accelerators. As an integral part of Samsung’s strong R&D focus & lab innovation engine, they cater to diverse data fabric deployments.

To learn more, check out our webpage: https://semiconductor.samsung.com/us/about-us/us-office/us-r-and-d-labs/memory-labs/data-fabric-solutions/

What You’ll Do

• Create a DevOps framework, including CI/CD capabilities, Configuration Management, and Source Code Management
• Support, develop, enhance, and maintain our cloud and data center infrastructure for high availability and scale
• Configuring and integrating with third-party services; Managing build systems.
• Frequently, run performance testing, identify potential performance issues and help the team find a resolution
• Ownership of the cloud-based products (aws, gcp, azure) and services you build, understand and continuously be aware of data security requirements of our various data sources (e.g. analytics services, stream events data, etc.)
• Develop and support automate continuous integration pipeline w/containers & using tools like Jenkins and Bamboo
• Develop/Enhance complex data driven Automation framework to support deployment of Software, Cloud modules, and distributed software.
• Develop Performance validation test cases & Quickly understand system and validate system software features, functionality and performance aspects
• Come up new test cases, test plans that can exercise the functionality of distributed software.
• Define and develop automation software requirements and implement automation software designs using popular scripting languages
• Setup test framework to have continuous integration pipeline for smoke/regression/performance validation
• Collaborate with internal development and QA teams to help ensure end-to-end quality
• Support Open Source development and troubleshoot issues along the CI/CD pipeline
• Other duties as assigned.

Location: Hybrid, working onsite at our San Jose office/headquarters 3 days per week, with the flexibility to work remotely the remainder of your time.

Reports to: Sr. Manager, SW Dev. Infrastructure

What You Bring

• BS/MS Computer Science or equivalent with a minimum of 10+ years of experience developing enterprise software solutions in C/C++ on Linux or a MS in Computer/Electrical/Electronic Engineering or Computer Science with 8+ years or PhD in engineering or related Science with 5+ years of experience as a DevOps engineer, preferably on SaaS engineering team
• 3+ years of developing software using agile methods
• Strong experience in containerization and kubernetes deployment/orchestration
• Strong experience in scripting languages like Python, Shell etc.
• Experience in Open source repositories management and development
• Strong Experience in Code Coverage Tools (e.g. Sonarqube, Coverity etc.)
• Require Good understanding a