Lead DevOps Engineer

A DevOps engineer is equal parts systems administrator, automation engineer, and build-and-release process expert. This person will collaborate with scrum teams to deploy and scale our infrastructure, get our code live, and enable us to field world class manufacturing applications. Need Semiconductor industry experience. Responsibilities:

• Build whole environment stacks from microservices to databases, and then help launch the app into Production.
• Create scripts and templates to build AWS and Azure services that support our custom Java and .Net applications.
• Help developers containerize their microservices and utilize orchestration tools like Kubernetes and Swarm to deploy and monitor these services.
• Analyze operational methods, integration & monitoring tools and support processes in the business unit in order to improve the efficiency and stability of operations.
• Collaborate with Software Development, vendors and other support personnel to evaluate software, tools, support process and hardware errors and performance. Provide operating, trend and statistical data reports as required.
• Develop, test and update disaster recovery technologies to support the business’s availability contracts and agreements.
• Oversee the design, purchase recommendation and implementation of infrastructure related solutions.
• Keep fully abreast of deployment and support tools advances in the industry, particularly as they pertain to cloud management and our customers’ data centers.
• Coordinates contractors (onsite, offsite and/or offshore) for infrastructure support.
• Accountable for security administration and auditing support.

Do you have experience in Tooling?, Do you have a Bachelor’s degree?, * Experience deploying Cloud-based applications in the Amazon Cloud and Container technologies like Docker and Kubernetes

• Strong background in Linux/Unix Administration
• Experience with automation/configuration management using Puppet, Chef, or Ansible
• Working knowledge of Infrastructure As Code tools such as Terraform or Cloud Formation
• Ability to use a wide variety of open source technologies and cloud services
• Experience with SQL, PostgreSQL, or MySQL
• NoSQL experience is important (Cassandra, Mongo, ELK stack preferred)
• A working understanding of code and script (Python, Perl, PHP or Ruby)
• Experience in Build Automation tools like Jenkins, BitBucket Pipelines or GitHub Actions
• Knowledge of best practices and IT operations in an always-up, always-available service
• Strong global governance of infrastructure

PREFERRED KNOWLEDGE, SKILLS AND ABILITIES:

• Experience in Build tools like Maven, ANT, Gradle or Rake
• Experience with SEMI standards
• Experience with Agile/Scrum software development methodologies
• Experience working for or with equipment suppliers in the electronics/semiconductor industries, * Bachelor of Science in Computer Science, Information Technology or related engineering degree, or proven industry experience
• 4+ years’ experience in IT with at least 1 year working with AWS in a team development environment

OTHER REQUIREMENTS:

• Some domestic and international travel is required, usually less than 10%
• Good people and interactive skills; must be able to communicate with internal and external colleagues at all levels

3.63.6 out of 5 stars Dallas, TX Remote $120,000 - $150,000 a year - Full-time, Pay Range: USD $120,000.00 - USD $150,000.00 /Yr.

PDF Solutions (NASDAQ: PDFS) offers an end-to-end analytics platform that empowers engineers and data scientists across the semiconductor ecosystem to rapidly improve the yield, quality, and profitability of their products. By combining industry-leading data analytics and professional services with exclusive, differentiated product data generated during the manufacturing process, PDF Solutions is delivering on the promise of Industry 4.0 today by transforming how the ecosystem collects, analyzes, and shares data. Key Fortune 500 organizations around the world rely on PDF Solutions to remove the data barriers that encumber and constrain new product introductions and to deliver the machine learning insights that drive efficient and profitable high-volume manufacturing. Headquartered in Santa Clara, California, PDF Solutions also operates worldwide in Canada, China, France, Germany, Italy, Japan, Korea, and Taiwan.