Quality Assurance Automation Engineer

Qualifications

• Proficiency in one or more major cloud platforms, such as Azure (preference), Google Cloud, AWS or others.
• Experience with modularized IaC (Infrastructure as Code) and industry tooling e.g. Terraform/Open ToFu, Ansible, Packer, Configuration management, Secrets Management (Consul, Vault, KMS systems, Consul Template).
• Operational concerns including Disaster Recovery, Disaster Resilience, Monitoring, Alerting (ITSM), Change, Knowledge Incident Management;
  Containerization technologies:
  Docker, Kubernetes (K8S, K3S), container registries and artifact tools (e.g. Artifactory, GCR, ACR, ECR);
  Administration of Kubernetes clusters.
• Understanding of microservices principles and best practices for designing scalable and modular architectures including API Gateway technologies.
• Understanding of event‑driven architecture principles and best practices and tooling (e.g. Pub/Sub, Kafka).
• Familiarity with serverless computing services and functions (e.g. Azure Functions, AWS Lambda).
• Proficient in cloud networking concepts, including VPCs, subnets, routing, load balancing, firewalling (including WAF), and security groups.
• Strong knowledge of cloud security best practices, including IAM, encryption, and security group configurations, SAST/DAST tooling (Crowd Strike, Qwiet.
  
  AI, Prisma Cloud).
• Experience with cloud monitoring and logging tools like AWS Cloud Watch, EFK/ELK Stack, Open Telemetry, Dynatrace, Datadog, New Relic.
• Knowledge of diagramming tools and methodologies (e.g. Miro, , Figjam, Mermaid.js).

• Help the Cloud Architectural Artifacts networking, firewalling, routing implementation level architecture for scalable IA strategies (e.g. modularization).
• Platform vs Service level contribute to and maintain org‑wide Architecture Decision Records.
• Enable our Cloud Policies, Procedures and Standards for Disaster Resiliency, Recovery and Availability Planning tooling, use and quality gating.
• Cloud technology stack services consultancy and selection in accordance with technical and quality requirements (scalability, performance, security, compliance).
• Support our Cloud Operational Practices;
  Drive e‑commerce and parts townwide projects;
  Cloud infrastructure TCO modeling and optimization.
• Capacity planning by continuously monitoring utilized resources and demand trends.
• Manage relationships with cloud service providers to ensure smooth operations and support;
  Lead and ensure compliance with organizational security practices and auditing.
• Ensure maximal uptime of our infrastructure and services through monitoring, alerting, golden signals and on‑call support;
  Drive best‑in‑class cloud strategies.
• Knowledge transfer, training, mentoring of cloud practices across the engineering org.

Mid‑Senior level

Full‑time

IT Services and IT Consulting