Senior AWS Cloud Ops Engineer (Infrastructure)

Position Summary

The Senior AWS Cloud Platform Engineer with strong technical hands-on EKS expertise accountable for the performance, availability, security, and scalability of client's multi-cloud environment across Google Cloud Platform (GCP) and Amazon Web Services (AWS). This modernized position goes beyond pure operations — it demands deep platform expertise paired with strong development instincts, infrastructure automation skills, and a working command of AI-assisted engineering tools. You will work alongside Cloud Architects, Security, and Application teams to enable enterprise workloads, drive platform governance, and accelerate cloud adoption through high-quality automation and engineering discipline.

Required Qualifications

• Multi-Cloud Platform Experience (AWS and GCP)
  • 5+ years designing, deploying, and operating workloads in GCP using best practices and industry standards
  • 5+ years designing, deploying, and operating workloads in AWS; hands-on experience in both platforms required
  • Operate, maintain, and troubleshoot GCP and AWS PaaS and IaaS services in production environments
  • GCP: Deep hands-on experience with GCP services: GKE, VPC networking, Shared VPC, VPC Service Controls, Private Service Connect (PSC), IAM (including custom roles), Cloud Monitoring, BigQuery, GCS, DataProc, Dataflow, Cloud Functions, API enablement, project administration
  • AWS: Deep hands-on experience with AWS services: EKS, EC2, EBS, Auto Scaling, VPC, VPC Endpoints, Route 53, Elastic Load Balancing, S3, EFS, Lambda, API Gateway, CloudWatch, CloudTrail, RDS, DynamoDB, ElastiCache, SQS, SNS, IAM, subnets, routing, security groups, VPC peering
• Automation, IaC & Development
  • 5+ years of hands-on infrastructure automation using Terraform (primary IaC), gcloud CLI, AWS CLI, and Python
  • Develop and maintain Python-based scripting, workflow logic, and automation tooling — not just glue scripts
  • Experience automating infrastructure provisioning, service enablement, and operational runbooks end-to-end
  • Ensure all automation complies with organizational guardrails: environment labels, CMEK, subnet/region constraints, and org policies
• Cloud Networking
  • Deep understanding of cloud networking fundamentals: VPC design, subnets, routing tables, firewalling, peering models, DNS
  • Hands-on experience managing and troubleshooting VPC networks, firewall rules, connectivity issues, and PSC provisioning on both GCP and AWS
  • Experience with hybrid connectivity patterns (VPN, Interconnect, Direct Connect)
• Security & Identity
  • 3+ years designing and implementing IAM models on GCP and AWS, including custom roles and least-privilege patterns
  • High degree of knowledge in IT security, data protection, encryption (CMEK/CSEK), and compliance frameworks
  • Experience with PII/HIPAA regulated environments a strong plus
• AI-Assisted Engineering
  • Active use of AI-based tools (e.g., MCP / Model Context Protocol, AI CLIs, LLM-assisted coding tools) to accelerate troubleshooting, automation development, and platform operations
  • Ability to critically evaluate, validate, and improve AI-generated code and runbooks — not just accept output
  • Demonstrated pattern of using AI to reduce toil and increase engineering throughput, not as a novelty
• Version Control & DevOps
  • Proficient Git and GitHub workflows: branching strategies, pull requests, code reviews, secrets management
  • Experience with DevOps practices and CI/CD pipelines in enterprise environments
  • Able to interpret, maintain, and improve cloud runbooks, operational playbooks, and process documentation
• Soft Skills & Collaboration
  • Strong troubleshooting ability with demonstrated history of independently diagnosing and resolving complex platform issues
  • Effective communication with engineering teams, intake teams, and business stakeholders — written and verbal
  • Works closely with application development, data engineering, security, and platform teams on day-to-day tasks and project delivery

Preferred Qualifications

• AWS Solutions Architect Associate or Professional certification
• GCP Associate Cloud Engineer or Professional Cloud Architect certification
• Experience with ServiceNow-based intake or operational ticket workflows
• Experience planning and executing on-premises to cloud migrations (GCP and/or AWS)
• Experience with enterprise-scale cloud governance, organizational policies, and compliance posture management
• Familiarity with CVS enterprise cloud environments and standards
• Vast understanding of cloud-native architectures and when to apply PaaS vs IaaS vs containerized workloads

Education

Bachelor's degree in Computer Science, Computer Engineering, Information Systems, or a related technical field. Equivalent work experience demonstrating the required technical depth will be considered.

Success Profile

The ideal candidate for this role:

• Operates with an engineering-first mindset — automation is the default, manual work is the exception
• Thrives in a fast-paced, multi-cloud operational environment and owns problems end-to-end
• Brings genuine depth on both GCP and AWS, not surface-level familiarity
• Integrates AI tooling naturally into their workflow to go faster and build better
• Collaborates without friction across Cloud Engineering, Intake, Security, and Platform teams
• Continuously reduces operational overhead through improved automation, documentation, and service supportability

This response is AI-generated, for reference only.