Python Engineer - Kubernetes / Docker

Overview

On Site
USD0 - USD0
Contract - W2

Skills

Python
Engineer
Kubernetes
Docker

Job Details

STRATEGIC STAFFING SOLUTIONS HAS AN OPENING!

Job Title: Python Engineer Kubernetes / Docker

Location Iselin, NJ ** Hybrid** 3 days/week on site in Iselin, 2 days remote

Duration 24 months, possibility to convert

Role Type: W2 Contract Engagement-No C2C

Industry: Financial Services / Capital Markets / Compliance

Overview

We are seeking a Python Engineer with strong hands-on experience in containerized application development and deployment using Kubernetes and Docker. In this contingent assignment, you will contribute to complex software engineering initiatives that involve large-scale systems, automation, and cloud-native architecture.

You will collaborate closely with client teams to design, build, and optimize distributed applications while ensuring performance, reliability, and compliance across environments.

Key Responsibilities


  • Design, develop, and deploy Python-based microservices in containerized environments (Docker + Kubernetes)
  • Build and maintain CI/CD pipelines for application delivery and environment automation
  • Collaborate with DevOps and infrastructure teams to ensure cloud-native scalability and resilience
  • Optimize system performance and troubleshoot distributed system issues
  • Implement logging, monitoring, and alerting for deployed services
  • Ensure adherence to security, compliance, and engineering best practices
  • Participate in code reviews, technical documentation, and sprint ceremonies

Required Qualifications


  • 5+ years of professional software engineering experience with a focus on Python development
  • Strong hands-on experience with Kubernetes and Docker for container orchestration and deployment
  • Proficiency in building RESTful APIs and microservices using frameworks like Flask, FastAPI, or Django
  • Familiarity with CI/CD tools (GitHub Actions, Jenkins, GitLab CI, etc.)
  • Experience with Linux-based environments and scripting for automation
  • Knowledge of SQL/NoSQL databases (e.g., PostgreSQL, MongoDB)
  • Solid understanding of object-oriented design, data structures, and algorithms

Nice to Have


  • Cloud experience with AWS, Azure, or Google Cloud (Google Cloud Platform)
  • Experience with Helm, Terraform, or Ansible
  • Monitoring and logging exposure (Splunk, Prometheus, Grafana)
  • Familiarity with Kafka, RabbitMQ, or other message brokers

Ideal Candidate


  • Passionate about automation, scalability, and high-performance systems
  • Experienced in modern software delivery and DevOps principles
  • Comfortable working independently while collaborating across distributed teams
  • Strong communication and problem-solving skills

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

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