Python Developer
Temporary
TalentVibe BC
Location: For deployment in Singapore; Visa Sponsorship is available
Our client is looking for a skilled Python Developer to join their team for a 12-month engagement. The successful candidate will play a pivotal role in the deployment and scaling of containerized workloads, utilizing Kubernetes and advanced observability tools. You will be responsible for managing the entire CI/CD lifecycle, ensuring high-performance, resilient systems through robust engineering practices.
Technical Requirements
- Experience: 5+ years of Python development.
- Core Competencies:
- Strong proficiency in Python programming language.
- Hands-on experience with Kubernetes (deploying, managing, and scaling containerized workloads).
- Strong background in observability, utilizing tools like Grafana, Prometheus, metrics, logs, traces, and alerting.
- Experience with CI/CD tools (Git, Jenkins, GitHub Actions, TeamCity).
- Expertise in scripting languages (Shell, Regular Expressions).
- Working knowledge of Linux administration and troubleshooting.
- Familiarity with open-source frameworks/libraries relevant to backend and platform development.
- Methodology:
- Experience with Test-Driven Development (TDD).
- Proficiency in Agile methodology (sprint planning, daily scrum, retrospectives, etc.).
- Bonus/Exposure:
- Awareness of Docker, Ansible, Splunk/SIEM, and Public Cloud platforms.
- Exposure to proxy, networking, or identity/authentication concepts (JWT, OAuth, SPIFFE) is a plus.
Project Milestones & Responsibilities. The role involves delivering critical outcomes across six key milestones:
- Observability & Initial Setup: Deploy solutions in Dev/QA/UAT, establish logging, monitoring, SIEM integration, and draft initial runbooks.
- Production Deployment: Deploy the Slipstream solution to Production, build/maintain automated CI/CD pipelines, and enable SRE monitoring dashboards.
- Scalability: Roll out Slipstream across multiple Kubernetes clusters, extend deployments to Windows/Linux, and standardize configuration patterns.
- Performance & Resiliency: Implement traffic-based autoscaling, enhance observability with alerts, and conduct stability/resiliency validation.
- Optimization: Continuous analysis of production telemetry, performance benchmarking, and fine-tuning resource utilization and latency.
- Documentation & Knowledge Transfer: Prepare technical/operational architecture documentation, create onboarding guides for consumer teams, and conduct training workshops.
Vacancy posted 5 days ago
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