Python Developer – Contract

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About the Role

Python Developer

Key Responsibilities

Log Ingestion & Analysis (Multi-Cloud)

• Write Python code to fetch and normalize logs using AWS, Azure, and GCP APIs (S3, Storage Queues, Pub/Sub)
• Parse, cleanse, and aggregate structured and semi-structured logs (DNS, proxy, Orca, Uptycs, NSG flow logs)
• Identify data quality issues, annotate metadata, and document remediation steps
• Collaborate with Ops teams to tune alert thresholds and optimize response workflows

Interactive Visualization

• Build reusable Plotly Dash components (e.g., heatmaps, time-series, geospatial maps) for deep log analysis
• Embed annotations and insights for non-technical stakeholders in visual dashboards

Infrastructure as Code

• Develop Terraform modules to provision and manage logging infrastructure:
• AWS (S3, Kinesis)
• Azure (Storage Accounts, Log Analytics)
• GCP (Cloud Storage, Pub/Sub)
• Configure secure remote state backends with locking and manage secrets via Key Vault, Secrets Manager, etc.

Configuration Automation

• Use Ansible to provision environments (Ubuntu, containers), install dependencies, deploy code, and run analyses
• Securely manage IAM/service credentials using Ansible Vault or environment variables

Security Best Practices

• Apply least-privilege principles when managing IAM/RBAC
• Understand and address risks like log injection, tampering, and improper retention

Required Qualifications

• Strong Python development experience
• Deep familiarity with AWS, Azure, and GCP SDKs/APIs (for storage, messaging, compute)
• Proficiency in building interactive visualizations (Plotly, Dash, or similar)
• Proven Terraform expertise with at least two cloud platforms, including remote state and secrets integration
• Experience analyzing and interpreting security logs (DNS queries, proxy logs, NSG flows, Orca/Uptycs outputs)
• Solid understanding of core security concepts (RBAC, least privilege, log integrity)
• Comfortable with Git-based workflows and CI/CD practices

Preferred Qualifications

• Experience building dashboards for security analytics or SIEM platforms
• Proficiency in containerization (Docker) and orchestration tools (Kubernetes, EKS, etc.)
• Familiarity with monitoring/alerting tools (e.g., Prometheus, Grafana)
• Exposure to mocking and testing frameworks (e.g., pytest, moto)
• Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent practical experience)