Python Developer

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.

Pay: $7,500.00 - $8,000.00 per month

Experience:

Python Developer: 5 years (Required)

Work Location: In person