Nasdaq: SNPS) accelerates technology innovation from silicon to systems. Catalyzing the era of pervasive intelligence, we deliver design solutions, from electronic design automation to silicon IP, to system design and multiphysics simulation and analysis. The Senior DevOps Engineer is responsible for the development of software products and supporting systems. In this role, the Senior DevOps Engineer will use advanced technical and problem-solving skills to design, develop, and deploy software applications for on-prem and cloud platforms using containerization technologies.
Participates in planning, architecture, and research around on-prem and cloud deployments.
Performs complex development activities that may require extensive analysis in areas including user experience, software design and solver research.
Collaborate with software engineering teams to design and create efficient, scalable, and maintainable containerized software solutions for on-prem and cloud deployments.
Support development teams with scripting and automation tasks, primarily using Python, to enhance development workflows and system integration.
Implement cloud deployment strategies using Kubernetes based environments, ensuring high availability, scalability, and security of applications.
Monitor and troubleshoot cloud-based containerized applications, addressing performance issues and ensuring system stability.
Collaborate with DevOps teams to implement CI/CD pipelines and streamline software release cycles in on-prem and cloud environments with Kubernetes.
Works independently with minimal supervision and may take on some planning and mentoring responsibilities.
BS in Computer Science, Engineering, Mathematics or Quantitative Sciences with at least 5 years of commercial experience in software development using object-oriented languages like Python or command languages like Bash.
Commercial experience with Docker images creation and optimization.
Experience deploying and managing containerized applications in on-prem and/or cloud environments using Kubernetes.
Excellent technical knowledge and commercial experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
Experience delivering pipelines in environments such as GitHub Enterprise Cloud, Azure DevOps Server and Services.
Strong problem-solving skills and the ability to troubleshoot complex issues in cloud and on-prem environments.
Familiarity with reverse proxies, load balancers and API gateway tools, as well as with infrastructure-as-code (IaC) tools like Terraform or CloudFormation.
Certifications in relevant cloud technologies such as AWS Certified Developer, Azure Developer Associate, or Google Cloud Certified.
Excellent verbal and written English communication skills.
At Ansys, part of Synopsys, we want talented people of every background to feel valued and supported to do their best work. LI-Remote #LI-Remote