About us
ALGOTEQUE is an IT consultancy firm that helps startups, mid-sized and large corporations to create and deliver innovative technologies.
Our team has a successful track record in designing, developing, implementing, and integrating software solutions (AI, ML, BI, Web, Automation) for Telecom, Energy, Bank, Insurance, Pharma, Automotive, Industry, e-commerce. We deliver our services both in fixed-price and time-and-materials models, helping our customers achieve their business and IT strategies.
Job Description
We are looking for a Senior Cloud Platform Engineer with AI Enablement experience for a project for our client from the EdTech industry. If you feel at home in cloud environments and you're curious about how AI is shaping the daily work of engineers, this role could be a great fit for you. Apply and join a team that combines a solid platform foundation with a modern approach to AI tools!
Responsibilities:
- Design and develop cloud-native platforms and internal developer platforms (IDP) on AWS.
- Deliver scalable, reliable and secure platform solutions for engineering teams.
- Work hands-on with Kubernetes (EKS) and a broad range of AWS services.
- Build and maintain Infrastructure as Code (Terraform, Pulumi, CloudFormation/CDK).
- Develop CI/CD pipelines and automate deployments.
- Introduce platform standards, reusable templates, golden paths and best practices.
- Improve observability, monitoring, alerting and incident response.
- Support reliability, high availability, disaster recovery and operational stability.
- Use AI tools and AI-assisted workflows to boost engineering productivity and platform operations.
- Help define safe, controlled usage of AI tools, coding agents and LLM-based workflows.
- Support teams with AI-assisted documentation, runbooks, log analysis, script generation, CI/CD and infrastructure review.
- Ensure AI usage is secure, observable and aligned with engineering standards.
Required qualifications
- Senior-level experience as a Cloud, DevOps, Platform, SRE or Infrastructure Engineer.
- Advanced, hands-on AWS experience is a must - core services (EC2, VPC, IAM, S3, RDS, EKS, Lambda, CloudWatch) and a track record of running production workloads on AWS.
- Kubernetes in production or near-production (EKS preferred).
- Strong Infrastructure as Code skills, especially Terraform.
- Familiarity with CI/CD tools (GitHub Actions, GitLab CI/CD, Jenkins, Azure DevOps or Tekton).
- Observability and monitoring (Prometheus, Grafana, ELK, Loki, Datadog, New Relic, CloudWatch or OpenSearch).
- Production support, incident management, RCA and deployment stability.
- Good scripting or programming skills (Python, Bash, PowerShell or Go).
- Security fundamentals, IAM, secrets management and secure cloud delivery.
- Experience working with development teams and improving Developer Experience.
- Ability to create standards, documentation, automation and reusable platform components.
Nice to have:
- Experience with Azure or GCP as a secondary cloud (useful, but not a substitute for AWS depth).
- AWS certifications (Solutions Architect Professional, DevOps Engineer Professional, or similar).
AI Enablement, practical experience or strong interest in using AI in real engineering work, for example:
- Using AI tools to support cloud operations and DevOps tasks.
- AI-assisted log analysis and incident investigation.
- Generating or reviewing scripts, Terraform, Helm, YAML and CI/CD configuration with AI.
- Building documentation and runbooks with AI support.
- Working with coding assistants such as GitHub Copilot, Cursor, Claude Code, OpenCode or similar.
- Using LLM tools for monitoring, quality, cost or performance analysis.
- Supporting safe usage of coding agents and AI-assisted SDLC.
- Creating guidelines for controlled AI usage in engineering teams.
- Understanding risks around AI autonomy, data security, compliance, hallucinations, cost and production safety.
Benefits
- B2B contract
- 100% remote work
- A unique and engaging project in the EdTech space
