Job Summary
We’re looking for a motivated and adaptable Cloud Engineer to join our infrastructure and DevOps team. In this role, you’ll be responsible for designing, automating, and optimizing scalable cloud environments that support mission-critical platforms and services. You’ll work across cloud providers and tooling to ensure infrastructure is secure, resilient, and cost-effective.
This position is ideal for those excited about powering innovation through cloud-native architecture, with opportunities to grow from hands-on implementation to strategic leadership.
What You’ll Do
- Build and manage cloud infrastructure using IaC and automation tools.
- Deploy and maintain scalable services across AWS, GCP, and/or Azure.
- Improve cloud architecture for reliability, performance, and cost.
- Monitor infrastructure health, security, and compliance.
- Collaborate with engineering, DevOps, and security teams.
- Evolve cloud platform capabilities, practices, and tooling.
Experience Levels Accepted
We are hiring across all experience levels, from Intern to Head of Cloud Engineering:
| Seniority Level | Years of Experience | Expected Focus & Contribution |
| Intern | 0–1 years | Support cloud tasks and learn IaC and cloud basics. |
| Junior | 1–3 years | Build and maintain core resources; assist in deployments. |
| Mid-Level | 2–5 years | Own cloud environments; implement automation and security. |
| Senior | 4–8 years | Lead architecture design, enforce best practices, mentor others. |
| Lead | 7–12 years | Architect systems, lead cross-team projects, guide strategy. |
| Staff | 10–15 years | Define infrastructure vision; influence engineering org-wide. |
| Head of Cloud Engineering | 15+ years | Set org-wide strategy; align cloud with business and growth. |
Note: Final title, compensation, and scope of responsibilities will be aligned with the candidate’s experience level and capabilities.
Tools & Technologies
- AWS (EC2, S3, Lambda, RDS, CloudFormation)
- GCP (BigQuery, GKE, Cloud Functions)
- Azure (VMs, Functions, Data Factory)
- Terraform, Pulumi
- Kubernetes, Docker
- GitHub Actions, Jenkins
- CloudWatch, Stackdriver, Azure Monitor
At Analytics 4 Retail, we are committed to building a diverse and inclusive workplace. We welcome applicants of all backgrounds and experiences, regardless of age, gender identity, sexual orientation, race, ethnicity, religion, disability status, or veteran status. We believe diverse perspectives drive innovation and better decision-making. We also value your privacy — all applications are treated with strict confidentiality and will be used solely for recruitment purposes in accordance with applicable data protection laws.
If you prefer not to fill out the online form or encounter any issues, you can also apply by sending your resume directly to careers@analytics4retail.com.