Platform Engineer

Project description Monitoring as a Platform is a platform that is the first critical step towards a self-managed infrastructure, and includes capabilities like real-time monitoring, intelligent networks, self-healing, and IoT to achieve improved productivity, organizational agility, and improved employee experiences. Responsibilities Cloud Architecture & Infrastructure as Code (IaC) Lead the design and implementation of highly available, multi-region AWS architectures with a primary focus on EKS (Elastic Kubernetes Service). Extensive Terraform Tooling: Develop, maintain, and version-control modular Terraform templates to manage complex cloud resources, ensuring 100% of infrastructure is codified and reproducible.

Configuration Management: Utilize Ansible Playbooks for OS-level hardening, application configuration, and hybrid-cloud task automation. Kubernetes Orchestration & Security K8s Lifecycle Management: Manage the full lifecycle of EKS clusters, including upgrades, node group optimization, and cost management. Security & Governance: Implement and enforce Kubernetes security best practices, including Service Accounts (IRSA), Network Policies, RBAC, and integrated Secrets Management (e.g., HashiCorp Vault or AWS Secrets Manager).

Containerization: Lead the effort to containerize complex legacy applications and optimize configuration patterns within Kubernetes. CI/CD & SRE Automation GitHub Actions Excellence: Design and optimize high-speed GitHub Actions workflows for automated testing, security scanning, and seamless deployments. SRE Scripting: Develop advanced automation scripts (Python, Go, or Bash) to eliminate \"toil,\" automate self-healing, and perform capacity planning.

Observability & Monitoring: Build and maintain comprehensive Grafana dashboards to monitor Pod/Service performance. Deploy and configure Beats agents (Filebeat, Metricbeat) as DaemonSets to ensure deep visibility into container logs and system metrics. Mandatory skills 8+ years of professional experience in Cloud Engineering/DevOps, with at least 5 years of focused Kubernetes administration.

Cloud Mastery: Expert-level knowledge of AWS (VPC, IAM, EKS, RDS, Route53, S3, Gateway API, Lambda). IaC: Expert in Terraform (Reusable modules, state management). Automation: Strong proficiency in Ansible and SRE-focused scripting.

CI/CD: Deep experience with GitHub Actions. Container Ecosystem: Expert knowledge of Docker, K8s networking, and the ELK/Beats stack. Monitoring: Mastery of Grafana and Prometheus for performance tuning.

Certification: (Highly Preferred) CKA (Certified Kubernetes Administrator) or AWS Certified Solutions Architect Professional. Scripting Languages: Python, Shell Script Architectural Vision: Ability to translate business requirements into scalable technical blueprints. Mentorship: Proven track record of guiding junior and senior engineers through complex technical hurdles.

Incident Leadership: Experience leading Root Cause Analysis (RCA) and post-mortem discussions to improve system resilience.