Senior technical expert and principal customer advisor across AWS services, troubleshooting complex multi-service issues and guiding customers on best practices.
Responsibilities
Resolve complex customer issues spanning multiple AWS services using structured troubleshooting and root cause analysis
Act as a trusted technical advisor to customers, guiding adoption and best-practice use of services such as EC2, S3, DynamoDB, RDS, Lambda, CloudFront
Work with customer technical and business stakeholders on incidents, architectural trade-offs, support strategies, and risk management
Collaborate with AWS engineering and service teams to resolve complex issues and share customer feedback
Create technical content, build tools, review methods, mentor teammates, and participate in interviews
Requirements
Bachelor's degree in Computer Science, Engineering, Mathematics, or equivalent professional experience
Nice to have: full application stack management
Nice to have: security best practices for network and web application firewalls
Nice to have: incident management for business-critical systems in a 24x7 environment
As a Cloud Support Engineer, you will serve as a senior technical expert and principal customer advisor across the full breadth of AWS services. This role combines expert-level technical troubleshooting with strategic customer engagement — you will lead resolution of complex, multi-service issues while serving as the "voice of the customer," crafting and executing strategies that drive adoption, operational excellence, and business value for your customers.
Responsibilities
Resolve complex customer issues that can span multiple AWS services, using structured troubleshooting and root cause analysis to deliver tailored solutions.
Act as a trusted technical advisor to your customers, guiding the adoption and best-practice use of services such as Amazon EC2, Amazon S3, Amazon DynamoDB, Amazon RDS, AWS Lambda, and Amazon CloudFront.
Work with customer technical and business stakeholders on incidents, architectural trade-offs, support strategies, and risk management.
Work with AWS engineering and service teams to resolve complex issues, and share customer feedback and recurring patterns to help prevent future issues.
Help the wider team grow by creating technical content (articles, tutorials, trainings), building tools and review methods other engineers can use, mentoring teammates, and taking part in interviews.
Requirements
Bachelor's degree in Computer Science, Engineering, Mathematics, or equivalent professional experience
Nice to have: Distributed computing environments
Nice to have: Serverless technologies (AWS Lambda, Amazon API Gateway, AWS IoT, mobile and messaging technologies, or AI-related technologies)
Cloud Support Engineer, Deployment/DevOps , AWS Support Engineering
As a Cloud Support Engineer, you will serve as a senior technical expert and principal customer advisor across the full breadth of AWS services, leading resolution of complex, multi-service issues while serving as the "voice of the customer."
Responsibilities
Resolve complex customer issues that can span multiple AWS services, using structured troubleshooting and root cause analysis to deliver tailored solutions.
Act as a trusted technical advisor to customers, guiding the adoption and best-practice use of services such as Amazon EC2, Amazon S3, Amazon DynamoDB, Amazon RDS, AWS Lambda, and Amazon CloudFront.
Work with customer technical and business stakeholders on incidents, architectural trade-offs, support strategies, and risk management.
Collaborate with AWS engineering and service teams to resolve complex issues and share customer feedback and recurring patterns to help prevent future issues.
Help the wider team grow by creating technical content, building tools and review methods, mentoring teammates, and participating in interviews.
Requirements
Bachelor's degree in Computer Science, Engineering, Mathematics, or equivalent professional experience
As a member of the Pitchbook Cybersecurity Team, you will be a key leader in embedding security into the fabric of PitchBook products by maturing the Secure Software Development Lifecycle (SDLC) and conducting in-depth security design reviews.
Compensation
Annual base salary: $187,179-$187,179
Target annual bonus percentage: 10%
Responsibilities
Provide expert advice to Engineering teams to drive secure software development and platform design throughout the entire Software Development Lifecycle
Lead the Security Review program by performing in-depth security assessments, threat modeling, and architecture reviews of new products and features
Enhance cloud and enterprise security posture by identifying control gaps, implementing best practices, and driving continuous improvements across infrastructure, applications, and security processes
Proactively identify and drive the efficient remediation of known security vulnerabilities across our technology stack to continuously improve our security posture
Requirements
Bachelor’s degree in Computer Engineering
Bachelor’s degree in Computer Science
Bachelor’s degree in Systems Engineering
Bachelor’s degree in IT Management
Bachelor’s degree in Management Information System
Engineer with a passion for hardware and strong programming and collaboration skills, applying machine learning to circuit design automation and the reuse of custom intellectual property (IP) to deliver state-of-the-art processors.
Locations (2)
Austin, Texas, United States
Sunnyvale, California, United States
Responsibilities
Developing innovative ML and large language model applications to understand, explain, and interact with advanced circuit design software systems.
Designing and implementing interaction with extensive compute infrastructure.
Identifying opportunities for optimizing, expediting, and reusing the delivery of hardware IP assets.
Supporting ML and large language model development processes, including troubleshooting and delivering solutions to internal customers.
Collaborating with diverse design teams (Custom Digital, Analog, Mixed-Signal) to address ML/LLM requirements.
Develop innovative ML and large language model applications to understand, explain, and interact with advanced circuit design software systems, focusing on silicon IP development and transistor-level analysis workflows.
Locations (2)
Austin, Texas, United States
Sunnyvale, California, United States
Responsibilities
Developing innovative ML and large language model applications to understand, explain, and interact with advanced circuit design software systems.
Identifying opportunities for optimizing, expediting, and reusing the delivery of hardware IP assets.
Actively involving yourself in supporting various ML and large language model development processes.
Closely collaborating with diverse design teams, including Custom Digital, Analog, Mixed-Signal, and more, to understand their needs and requirements for various ML and large language model applications.
Working in tandem with other experts in CAD to validate their ML-based applications, implement enhancements, and evaluate external vendor packages and solutions from EDA (Electronic Design Automation) providers and open-source.
Engineer with a passion for hardware and strong programming and collaboration skills, applying machine learning to circuit design automation and the reuse of custom intellectual property (IP) for cutting-edge integrated circuits (ICs).
Locations (2)
Austin, Texas, United States
Sunnyvale, California, United States
Responsibilities
Developing innovative ML and large language model applications to understand, explain, and interact with advanced circuit design software systems
Designing and implementing interaction with extensive compute infrastructure
Identifying opportunities for optimizing, expediting, and reusing the delivery of hardware IP assets
Supporting ML and large language model development processes
Collaborating with diverse design teams including Custom Digital, Analog, Mixed-Signal
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