Cloud Engineer focusing on generative AI solutions at CBTW, developing scalable cloud infrastructures and automated CI/CD pipelines in hybrid work environment.
About the role
- Cloud Engineer assisting in the transition to cloud solutions for Aambience Services, focusing on AWS and Azure environments. Responsibilities include setting up CI/CD and managing multi-cloud infrastructures.
Responsibilities
- Set up and evolve cloud-based environments for SaaS products (multi-environment setups, security, scalability, cost awareness)
- Design and implement CI/CD pipelines for applications and infrastructure (build/test/release automation, branching strategies, release confidence)
- Infrastructure as Code (IaC): create reusable modules, version-controlled environments, and automated provisioning (e.g., Terraform/CloudFormation/Bicep)
- Support the transition from Azure to AWS by delivering hands-on implementations on AWS, while maintaining and improving existing Azure workloads (migration waves, risk management, service continuity)
- Implement and operate multi-cloud foundations and shared services (landing zones, identity & access, networking, secrets, tagging/FinOps) together with the team
- Support Data Engineering workloads by provisioning and operating data platforms and pipelines (batch/streaming), ensuring reliability and performance
- Implement and operate observability for services and pipelines using Prometheus and Grafana (dashboards, alerting, SLO-oriented monitoring)
- Collaborate with engineers to improve deployment patterns (containers/Kubernetes when applicable), troubleshooting and incident response
- Introduce DevOps practices (automation, documentation, runbooks) and share knowledge with the team to improve day-to-day delivery
- Work with the security officer to apply security best practices (least privilege, secrets management, vulnerability scanning) and support compliance requirements
Requirements
- BSc/MSc in Computer Science, Engineering, or any other relevant degree
- 3-5+ years of experience as a Cloud Engineer (or DevOps/Platform Engineer) supporting production environments
- Hands-on experience building and maintaining CI/CD pipelines (e.g., GitHub Actions, GitLab CI, Jenkins, Azure DevOps) and release processes
- Strong Infrastructure as Code mindset and tooling experience (Terraform/CloudFormation/Bicep), with code reviews and modular design
- Strong hands-on experience with AWS (IAM, VPC, compute, storage, monitoring) and the ability to support existing Azure workloads with familiarity in key Azure building blocks (Entra ID, networking, Azure DevOps, Bicep/ARM)
- Solid understanding of cloud networking and security fundamentals (IAM/RBAC, VPC/VNet, security groups/firewalls, TLS, secrets)
- Observability experience with Prometheus & Grafana (metrics, dashboards, alert rules) and ability to troubleshoot using logs/metrics
- Exposure to Data Engineering architectures and tools (data lakes/warehouses, ETL/ELT, orchestration like Airflow/dbt, streaming concepts)
- Comfortable with containers (Docker) and container-based deployment patterns
- Good communication skills, ownership mindset, and ability to collaborate across engineering, product, and security
- What is nice to have:
- Hands-on AWS migration experience (workload assessments, migration strategies, cutover planning)
- Hybrid connectivity and identity federation between clouds (VPN/peering, SSO, centralized IAM patterns)
- Containers at scale and orchestration experience (Kubernetes/EKS/AKS)
- Deeper Data Engineering ecosystem experience (e.g., Databricks, Spark, Airflow/dbt in production, streaming platforms)
- Security and compliance automation (policy-as-code, vulnerability management, audit readiness)
Benefits
- 💸 Competitive renumeration package
- 🏥 Private medical insurance
- 🎯 Performance based bonus
- 📚 Training & development opportunities
- 🤝 A team that loves innovation, quality, and having fun at work
- ⚖️ Work-life balance
Job title
Job type
Experience level
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Not specified
Degree requirement
Tech skills
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