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 (CrowdStrike, Qwiet.AI, Prisma Cloud).
• Experience with cloud monitoring and logging tools like AWS CloudWatch, EFK / ELK Stack, Open Telemetry, Dynatrace, Datadog, New Relic.
• Knowledge of diagramming tools and methodologies (e.g. Miro, Diagrams.net, Figjam, Mermaid.js).

Roles and Responsibilities

Seniority Level

Mid‑Senior level

Employment Type

Full‑time

Job Function

IT Services and IT Consulting

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