Senior AWS Cloud Ops Engineer (Infrastructure)

TITLE: Senior AWS Cloud Operations Engineer THIS IS NOT A DEVOPS ENGINEER OR SRE POSITION 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 9AWS 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