Overview
Accepts corp to corp applications
Contract - W2
Contract - Independent
Contract - 28 day((s))
Skills
Python Developer SRE & Automation Engineer
Job Details
Job Title: Python Developer SRE & Automation Engineer
Location: 100% Remote
Duration: Long Term
Experience Level: 8 15+ years
Position Summary:
We are seeking a highly skilled Python Developer with strong Site Reliability Engineering (SRE) experience to design, automate, and optimize production systems. The ideal candidate will have a solid foundation in Python development, Linux administration, SQL, and modern monitoring and troubleshooting practices.
You will be responsible for improving system reliability, performance, and scalability through automation and proactive monitoring - ensuring our applications and infrastructure run efficiently at scale.
Key Responsibilities:
- Develop and maintain automation tools and scripts using Python to streamline operational and deployment processes.
- Implement and manage monitoring, alerting, and observability systems (e.g., Prometheus, Grafana, ELK, Datadog, or Dynatrace).
- Collaborate with development, DevOps, and infrastructure teams to ensure high availability, performance, and reliability of applications.
- Perform root cause analysis and resolve complex production incidents, minimizing downtime and service impact.
- Design and enhance CI/CD pipelines and infrastructure automation using tools like Jenkins, Ansible, or Terraform.
- Write and optimize SQL queries for performance monitoring, analytics, and troubleshooting.
- Manage and monitor systems on Linux environments, handling configuration, tuning, and process automation.
- Define SLOs, SLIs, and SLAs to ensure measurable service reliability.
- Continuously improve system resilience and fault tolerance through testing and capacity planning.
Required Skills & Experience:
- 8+ years of total experience in software development or system reliability engineering.
- Strong programming expertise in Python, including API development, automation, and scripting.
- Solid knowledge of Linux/Unix system administration and shell scripting.
- Strong understanding of SQL (PostgreSQL, MySQL, or similar).
- Proven experience in troubleshooting complex distributed systems.
- Hands-on experience with monitoring and observability tools (Prometheus, Grafana, ELK Stack, Datadog, Dynatrace, etc.).
- Experience building or maintaining automation pipelines (Jenkins, GitHub Actions, Terraform, Ansible, etc.).
- Knowledge of networking fundamentals, load balancing, and cloud-native environments (AWS/Azure/Google Cloud Platform).
- Familiarity with containerization (Docker, Kubernetes) is a plus.
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.