Description

Required Skills - 
Python, Platform engineering, Infrastructure As Code, Automation
Must have a software engineering/problem solving background.

Job Requirements - 

• 8+ years software engineering
• 4+ years of software engineering in App Dev capacity
• 4+ years of automation and scripting using Python
• 8+ years of experience building automation/configuration management infrastructure such as Ansible, Terraform, Chef, and/or Puppet
• 8+ years of experience of building CI/CD pipelines
• 6+ years of experience with deployment of production code leveraging Docker containers
• Experience using cloud services (AWS and Azure preferred); public cloud IaaS and PaaS services
• Experience with large-scale distributed systems architectures. Examples include Java/Spring Boot, CQRS, event streaming, Kafka, Spark Knowledge in databases

Desired Skills & Experience - 
• Streaming platforms such as Kafka/NATS/Kinesis/Event Hub
• Databricks/Apache Spark
• Elastic Search
• Apigee
• Datadog/New Relic

Key Responsibilities:

Design and Development: Write clean, efficient, well-documented, and maintainable code primarily in Python for both backend services and/or data pipelines.
Collaboration: Work closely with product managers, QA engineers, and other software developers to understand requirements and deliver high-quality features.
System Architecture: Contribute to the design and implementation of new features, services, and system architecture.
Testing and Quality Assurance: Develop and implement unit, integration, and end-to-end tests to ensure code quality and system reliability.
Optimization and Troubleshooting: Identify and resolve performance bottlenecks, bugs, and system issues.
Code Review: Participate in code reviews to maintain code standards and share knowledge across the team.
Deployment and Operations: Assist with deployment, monitoring, and maintenance of applications in production environments (e.g., using DevOps practices)

Key Skills

Education

Any Graduate