Synopsys Inc
Senior Manager, Infrastructure Engineering
Synopsys Inc, Mountain View, California, us, 94039
Job Description And Requirements
We seek a highly skilled Infrastructure Engineering Manager to lead our IaaS and Data Intelligence initiatives. The ideal candidate will have a strong background in infrastructure management, cloud services, data analytics, and software development lifecycle (SDLC) practices, focusing on delivering scalable and efficient infrastructure solutions integrating DevOps methodologies.
Responsibilities
Lead and manage a team of Infrastructure Automation Engineers and Data Specialists.Develop and implement strategies for IaaS and Data Intelligence.Lead the Design and Implementation of scalable big data solutions in the infrastructure efficiency and developer productivity realm.Explore and leverage Generative AI (GenAI) and Machine Learning (ML) to enhance infrastructure management and developer productivity.Integrate SDLC practices and DevOps methodologies into Infrastructure Engineering.Collaborate with cross-functional teams to integrate IAAS & Data Intelligence solutions.Utilize Analytics & Data Driven approaches to Monitor and Optimize Infrastructure costs and resource usage.Qualifications:
Managed infrastructure-focused engineering teams on Cloud and have multiple years of experience focusing on one or more of the following areas:-Build, Test, Deploy
Leadership Requirements:
Developer ProductivityObservabilityReliability EngineeringCloud Infrastructure coupled with Infrastructure as CodeDevOpsProven experience in infrastructure management, cloud services (AWS, Azure, GCP), and data analytics.Strong leadership and project management skills.Excellent problem-solving and analytical abilities.Experience with automation and orchestration tools (e.g., Terraform, Python).Knowledge of data analytics tools and platforms (e.g., Hadoop, Spark, Snowflake).Proficiency in software development lifecycle (SDLC) and DevOps methodologies.Familiarity with emerging technologies, including Machine Learning (ML) and Generative AI (GenAI), and their potential applications in infrastructure management and developer productivity.Strong communication and interpersonal skills.Proven Leadership and Team Management skills.Bachelor’s degree in computer science, Information Technology, or a related field.10-15 years of experience in the relevant field.Proven experience in driving strategic initiatives from ideation to fruition, embodying the full project execution lifecycle.The base salary range across the U.S. for this role is between $146,000 - $220,000. In addition, this role may be eligible for an annual bonus, equity, and other discretionary bonuses. Synopsys offers comprehensive health, wellness, and financial benefits as part of a competitive total rewards package. The actual compensation offered will be based on a number of job-related factors, including location, skills, experience, and education. Your recruiter can share more specific details on the total rewards package upon request.
Inclusion and Diversity are important to us. Synopsys considers all applicants for employment without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, military veteran status, or disability.
Job Category
Information Technology
Country
United States
Job Subcategory
IT
Hire Type
Employee
Base Salary Range
$146,000 - $220,000
#J-18808-Ljbffr
We seek a highly skilled Infrastructure Engineering Manager to lead our IaaS and Data Intelligence initiatives. The ideal candidate will have a strong background in infrastructure management, cloud services, data analytics, and software development lifecycle (SDLC) practices, focusing on delivering scalable and efficient infrastructure solutions integrating DevOps methodologies.
Responsibilities
Lead and manage a team of Infrastructure Automation Engineers and Data Specialists.Develop and implement strategies for IaaS and Data Intelligence.Lead the Design and Implementation of scalable big data solutions in the infrastructure efficiency and developer productivity realm.Explore and leverage Generative AI (GenAI) and Machine Learning (ML) to enhance infrastructure management and developer productivity.Integrate SDLC practices and DevOps methodologies into Infrastructure Engineering.Collaborate with cross-functional teams to integrate IAAS & Data Intelligence solutions.Utilize Analytics & Data Driven approaches to Monitor and Optimize Infrastructure costs and resource usage.Qualifications:
Managed infrastructure-focused engineering teams on Cloud and have multiple years of experience focusing on one or more of the following areas:-Build, Test, Deploy
Leadership Requirements:
Developer ProductivityObservabilityReliability EngineeringCloud Infrastructure coupled with Infrastructure as CodeDevOpsProven experience in infrastructure management, cloud services (AWS, Azure, GCP), and data analytics.Strong leadership and project management skills.Excellent problem-solving and analytical abilities.Experience with automation and orchestration tools (e.g., Terraform, Python).Knowledge of data analytics tools and platforms (e.g., Hadoop, Spark, Snowflake).Proficiency in software development lifecycle (SDLC) and DevOps methodologies.Familiarity with emerging technologies, including Machine Learning (ML) and Generative AI (GenAI), and their potential applications in infrastructure management and developer productivity.Strong communication and interpersonal skills.Proven Leadership and Team Management skills.Bachelor’s degree in computer science, Information Technology, or a related field.10-15 years of experience in the relevant field.Proven experience in driving strategic initiatives from ideation to fruition, embodying the full project execution lifecycle.The base salary range across the U.S. for this role is between $146,000 - $220,000. In addition, this role may be eligible for an annual bonus, equity, and other discretionary bonuses. Synopsys offers comprehensive health, wellness, and financial benefits as part of a competitive total rewards package. The actual compensation offered will be based on a number of job-related factors, including location, skills, experience, and education. Your recruiter can share more specific details on the total rewards package upon request.
Inclusion and Diversity are important to us. Synopsys considers all applicants for employment without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, military veteran status, or disability.
Job Category
Information Technology
Country
United States
Job Subcategory
IT
Hire Type
Employee
Base Salary Range
$146,000 - $220,000
#J-18808-Ljbffr