Description

What You'll Do: 

• Design, develop, and maintain robust, scalable automation frameworks using Python.
• Build automation solutions that support provisioning, deployment, and operational workflows across cloud environments.
• Develop and implement new functionality to orchestrate complex cloud releases across multiple data centers and geographic regions.
• Maintain and enhance systems used to deploy, scale, monitor, and operate enterprise platforms and databases dynamically.
• Partner with stakeholders to gather requirements and deliver innovative automation solutions.
• Collaborate with database administration teams to understand operational requirements and implement scalable solutions.
• Develop tools and processes that improve reliability, availability, and operational efficiency.
• Drive automation initiatives to reduce manual effort and improve deployment consistency.
• Implement SRE best practices focused on reliability, scalability, observability, and operational excellence.
• Monitor production systems and proactively identify opportunities for optimization and improvement.
• Troubleshoot complex platform, application, and infrastructure issues.
• Improve monitoring, alerting, and observability across distributed systems.
• Participate in incident response, root cause analysis, and post-incident reviews.
• Support cloud-native infrastructure and containerized application platforms.
• Mentor junior engineers on Python development, automation engineering, and reliability best practices.
• Contribute to continuous improvement initiatives and operational excellence programs.

Expertise You'll Bring:

• 9 to 12 years of experience in Software Engineering, Site Reliability Engineering, or Platform Engineering.
• Minimum 5 years of experience working with distributed systems and operations engineering environments.
• Strong hands-on expertise in Python development and automation framework design.
• Proven experience building scalable automation solutions and deployment systems.
• Strong understanding of Site Reliability Engineering principles and operational best practices.
• Experience supporting large-scale SaaS platforms and cloud-native applications.
• Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP).
• Hands-on experience with Docker and Kubernetes environments.
• Experience implementing observability, monitoring, logging, and alerting solutions.
• Strong understanding of infrastructure automation and deployment orchestration.
• Knowledge of CI/CD pipelines and modern DevOps practices.
• Experience troubleshooting distributed systems and production environments.
• Working knowledge of PostgreSQL database administration and support.
• Exposure to Golang development is desirable.
• Strong analytical, debugging, and problem-solving skills.
• Knowledge of software development lifecycle, engineering processes, and coding best practices.
• Ability to perform root cause analysis and implement preventive solutions.
• Experience working collaboratively with engineering, operations, and business stakeholders.
• Excellent communication skills with demonstrated fluency in written and spoken English.
• Ability to mentor, guide, and support junior engineers and technical teams.
• Bachelor's degree in Computer Science, Information Technology, Engineering, or equivalent experience

Key Skills

Education

Any Graduate