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Job Description
Role:
AWS Platform Engineer Location:
Berkely Heights, NJ (5 Days onsite) Candidates should have hands-on experience with AWS, Kubernetes, Terraform, core cloud networking, and familiarity with modern AI-enabled engineering tools. These capabilities are critical to building and efficiently managing the platform. The main responsibilities for this role include: . Designing, building, and operating scalable platform infrastructure on AWS. . Managing and supporting Amazon EKS clusters across production and non-production environments. . Administering and optimizing AWS services such as DynamoDB, Amazon RDS, CloudWatch, Route 53, AWS Secrets Manager, and AWS Certificate Manager. . Configuring Kubernetes components, including ingress controllers, namespaces, networking, and workload deployments. . Implementing and maintaining ingress patterns using Kubernetes Ingress Controller and AWS ALB. . Managing DNS, hosted zones, and routing traffic with Route 53. . Handling secrets, credentials, and secure application configuration using AWS Secrets Manager. . Provisioning, renewing, and managing TLS/SSL certificates via AWS Certificate Manager for secure application and ingress communication. . Developing, maintaining, and improving Infrastructure as Code with Terraform and Terraform Enterprise. . Supporting AWS networking components, including VPCs, subnets, route tables, internet gateways, NAT gateways, and security groups. . Configuring and troubleshooting network connectivity between applications, clusters, databases, and external endpoints using tools like ping, curl, telnet, traceroute, nslookup, dig, and port-level validation. . Reviewing and maintaining network access controls, security group rules, and routing paths to ensure secure and reliable communication. . Troubleshooting platform, infrastructure, DNS, certificate, secret management, load balancing, and network-related issues across environments. . Monitoring platform health, creating dashboards, defining alerts, and improving observability using CloudWatch. . Partnering with development and security teams to enhance CI/CD, platform reliability, and compliance. . Supporting incident response, root cause analysis, and operational readiness activities. . Driving automation for platform operations, environment creation, upgrades, patching, and recovery procedures. . Leveraging AI-assisted engineering tools for scripting, automation, troubleshooting, documentation, and operational efficiency. . Evaluating opportunities for AI-powered tooling to improve platform support workflows, knowledge management, and incident response. . Maintaining technical documentation, architecture diagrams, runbooks, and operational standards.
