Sr. AWS Cloud Engineer/Architect

Altera Semiconductor•San Jose, CA

18h

About The Position

Altera is seeking an experienced, hands-on Senior AWS Cloud Engineer / Architect to lead the design, implementation, optimization, and operation of AWS cloud infrastructure supporting enterprise applications, business operations, and semiconductor engineering workloads. The role combines AWS architecture expertise with practical engineering, infrastructure automation, production troubleshooting, security, and operational excellence. The position translates architecture into working solutions and partners with infrastructure, networking, cybersecurity, and engineering teams. Proven experience supporting high-performance computing (HPC) workloads and high-throughput, scalable storage is a core requirement. The position designs, deploys, configures, and maintains AWS infrastructure across accounts and environments; builds highly available, resilient, and scalable solutions; and supports connectivity between AWS, corporate locations, and engineering environments. It develops reusable Terraform modules and infrastructure automation, operates and troubleshoots production cloud environments, and implements security, governance, disaster recovery, observability, and cost optimization practices. The role also enables semiconductor engineering teams by supporting compute, storage, performance, development, testing, and data-intensive workloads. It architects and operates HPC environments and high-throughput shared storage, optimizing compute, storage, and network performance in partnership with engineering teams. The stated salary range is $187,000–$250,000 USD for the Bay Area, California only. Actual salary may vary based on factors including location, job-related knowledge, skills, experience, and training. Incentive opportunities reward employees based on individual and company performance. The company uses artificial intelligence to screen, assess, or select applicants. Applicants must be eligible for any required U.S. export authorizations.

Requirements

Bachelor’s degree in Computer Science, IT, Engineering, or a related field, or equivalent experience.
8+ years in infrastructure, systems, cloud engineering, or related technical roles.
5+ years of hands-on AWS infrastructure engineering and production operations.
Strong knowledge of AWS networking, compute, storage, identity, security, and monitoring.
Ability to independently design, deploy, and troubleshoot production AWS environments.
Hands-on Terraform and Infrastructure as Code experience.
Proficiency in Python, Bash, or similar scripting.
Linux administration experience and knowledge of TCP/IP, DNS, routing, VPN, firewalls, and hybrid connectivity.
Experience with CI/CD, Git workflows, infrastructure automation, incident management, root-cause analysis, and disaster recovery.
Strong technical ownership, documentation, and cross-functional communication.
Demonstrated hands-on experience designing, deploying, and troubleshooting HPC clusters or batch-compute environments in AWS or hybrid infrastructure.
Strong experience implementing and optimizing high-performance shared storage, such as FSx for Lustre, EFS, NFS, or parallel file systems, including throughput, latency, and capacity planning.

Nice To Haves

AWS Solutions Architect – Professional or DevOps Engineer – Professional certification, or equivalent expertise.
Experience with AWS Organizations, Control Tower, landing zones, and multi-account governance.
Experience with Kubernetes, Amazon EKS, Docker, and containers.
Experience with Transit Gateway, Direct Connect, and hybrid cloud networking.
Experience with AWS ParallelCluster, Slurm, or similar HPC schedulers and workload orchestration platforms.
Semiconductor, EDA, chip design, or high-performance engineering infrastructure experience.
Experience with CNAPP, cloud security posture management, observability, AIOps, and FinOps.

Responsibilities

Design, deploy, configure, and maintain AWS infrastructure across accounts and environments.
Architect highly available, resilient, and scalable AWS solutions using best practices.
Manage EC2, VPC, S3, EBS, EFS, RDS, ELB, Auto Scaling, Route 53, and related AWS services.
Design connectivity between AWS, corporate locations, and engineering environments.
Establish architecture standards and reusable patterns, and support migrations and modernization.
Develop and maintain Terraform provisioning, reusable modules, and automated environment deployments.
Implement infrastructure CI/CD using GitHub Actions, Jenkins, AWS CodePipeline, or equivalent tools.
Automate operational tasks with Python, Bash, AWS CLI, and APIs.
Maintain version-controlled infrastructure configuration and documentation.
Own AWS operations, monitoring, troubleshooting, and incident resolution.
Implement proactive observability using CloudWatch, CloudTrail, and related tools.
Investigate performance, capacity, availability, and service disruptions.
Implement backup, disaster recovery, business continuity, and resilience.
Participate in incident response, root-cause analysis, and corrective actions, and improve SLOs.
Implement Zero Trust-aligned and least-privilege AWS architectures.
Manage IAM, federation, encryption, and secure access controls.
Use AWS KMS, Security Hub, GuardDuty, AWS Config, and related services.
Partner with Cybersecurity on vulnerabilities, posture management, remediation, and compliance.
Support secure configuration standards, audits, and access reviews.
Partner with semiconductor engineering teams on compute, storage, and performance needs.
Support AWS for engineering applications, automation, development, testing, and data-intensive workloads.
Evaluate HPC, batch processing, and scalable compute where appropriate.
Optimize storage throughput, network performance, and compute utilization.
Support secure hybrid integration while balancing performance, availability, security, and cost.
Monitor and optimize AWS consumption and costs; implement tagging, cost allocation, budgets, and usage reporting.
Identify right-sizing, Savings Plans, Reserved Instances, and storage lifecycle opportunities.
Build cost dashboards and partner with teams on utilization improvements.
Architect and operate HPC compute environments, including workload schedulers, batch processing, cluster capacity, and performance troubleshooting.
Design high-throughput shared storage for engineering workloads, including Amazon FSx for Lustre, EFS, S3, and appropriate on-premises NFS or parallel file systems.
Optimize storage IOPS, throughput, latency, data movement, and network performance for compute-intensive workloads.
Plan HPC and storage resilience, monitoring, capacity, and cost, and partner with engineering teams on workload benchmarks and performance requirements.