Full Stack Automation Engineer
ExternalS$84K–S$102K/yrContractUnknown4d ago
Information Technology
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Requirements
- 4-8 years in automation, DevOps, cloud infrastructure, or security platform engineering
- Professional experience delivering and supporting production systems
- Built CI/CD pipelines, cloud infrastructure, workflows, or platform integrations (work or strong portfolio)
- Can deliver assigned work with guidance; escalates design decisions
- Strong experience owning production platforms and integrations end to end
- Several years building and running production CI/CD, cloud infrastructure, or workflow automation (not ad hoc scripts only)
- Experience mentoring engineers and leading technical work over multiple quarters
- Technical skills:
- Hands-on with at least one major cloud (AWS, Azure, or GCP). Multi-cloud is a plus.
- Terraform, CloudFormation, Pulumi, or similar - standards, review, and ownership
- Kubernetes or cloud-native runtimes (e.g. Cloud Run, managed container services)
- Built or led pipeline design for GitHub Actions, GitLab CI, ArgoCD, Jenkins, or similar
- REST, GraphQL, gRPC, or WebSockets; API design and integration
- Automation platforms, orchestration, or SOAR playbooks
- Prometheus, Grafana, ELK, cloud monitoring, OpenTelemetry, or similar
- SOAR playbooks, orchestration platforms, or enterprise workflow systems
- Familiar with SIEM, SOAR, and SOC workflow systems, or threat intelligence platforms
- Strong Python, Golang, Node.js, or similar for services and automation; scripting (Bash, PowerShell)
- Message queues and pub/sub (Kafka, RabbitMQ, cloud pub/sub, etc.)
- Cloud warehouses, PostgreSQL, Redis, or similar Logging/tracing/metrics, secure coding, release governance
- Desirable Skills (Added Advantage):
- Enterprise SIEM, SOAR, SecOps, or threat intelligence platforms.
- Low-code workflow tools (OutSystems, Mendix, Power Apps, ServiceNow, or similar).
- Full-stack development for operator tools and portals.
- BI dashboards or data visualisation.
- Cloud AI/ML and LLM-based workflows.
- Education:
- Degree in Computer Science, Computer or Electronics Engineering, Information Technology, or a related discipline.
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Company Intel
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