DevOps / Cloud Engineer Python Platform & AI Services

Job Description

DevOps / Cloud Engineer - Python Platform & AI Services

Role Summary

We are looking for a DevOps / Cloud Engineer with 2 - 3 years of experience to support deployment and operations of our Python-based platform and AI services.

The role involves managing Docker-based deployments, CI/CD pipelines, monitoring, cloud infrastructure, and helping the engineering team run both traditional backend services and AI workloads reliably.

Key Responsibilities

• Build and maintain CI/CD pipelines for Python applications.
• Deploy and manage Python APIs, background services, and AI modules.
• Manage Docker containers and assist with Kubernetes or container orchestration.
• Configure Linux servers, Nginx, reverse proxies, and environment setup.
• Monitor application performance, logs, uptime, and failures.
• Support deployment of AI services, vector databases, and document-processing pipelines.
• Assist with backup, security, and disaster recovery planning.
• Work closely with developers to improve deployment and release processes.
• Help manage environments for development, testing, staging, and production.
• Ensure infrastructure follows security and data privacy standards.

Mandatory Skills

• Good knowledge of Linux and server administration.
• Experience with Docker and containerisation.
• Experience with CI/CD tools such as GitHub Actions, GitLab CI, Jenkins, or Azure DevOps.
• Familiarity with Nginx, environment variables, and deployment troubleshooting.
• Basic understanding of AWS, Azure, or Google Cloud.
• Familiarity with monitoring and logging tools.
• Knowledge of Git and release management.
• Basic scripting skills in Python or Bash.
• Basic understanding of AI workloads and requirements such as GPU usage, model hosting, or vector databases.

Preferred Skills

• Exposure to Kubernetes.
• Experience supporting Python/FastAPI applications.
• Familiarity with databases such as PostgreSQL, Redis, MongoDB, or Elasticsearch.
• Exposure to AI infrastructure such as Hugging Face models, Ollama, Llama, or local model deployment.
• Awareness of data privacy, secrets management, and secure handling of enterprise data.
• Exposure to observability tools such as Grafana, Prometheus, ELK, or Datadog.

Experience

2 - 3 years of experience in DevOps, Cloud Engineering, or Infrastructure support.
Candidates with experience in Python application deployment or AI infrastructure will be preferred.

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