Python Developer
Summary
This role is a 12-month engagement for a Python Developer to manage containerized workloads, CI/CD pipelines, and system observability. The developer will focus on scaling Kubernetes clusters, performance tuning, and implementing robust monitoring solutions.
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
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.