Job Description

Python Developer - Service Reliability Engineers


Programming and Scripting for Data Applications
o SQL: Advanced SQL skills for writing complex queries, stored procedures, and optimizing database performance.


o Python: Experience in developing data pipelines, integrations, and analytics scripts using Python.


o R: Knowledge of statistical analysis and data modeling using R for advanced analytics.


o JavaScript: Familiarity with JavaScript for embedding analytics into web applications.

Qualifications

Service Reliability: Experience with managing and maintaining highly-available systems, including cloud-based infrastructure. Programming: Proficiency in programming to automate repetitive tasks ("toil") to reduce manual effort and human error. Monitoring & Observability: Solid understanding of monitoring tools, incident management platforms, and metrics analysis. Technical Depth: Deep knowledge of system performance optimization and troubleshooting methodologies. Experience with cloud platforms, databases, CI/CD, distributed systems, and security best practices. Communication & Collaboration: Strong communication skills (written and verbal) to effectively collaborate across cross-functional teams. Problem Solving: Ability to thrive in high-pressure situations and demonstrate a calm, methodical approach to problem-solving. Analytical mindset for interpreting data, metrics, and patterns to make informed decisions and predict future issues. Systemic Thinking: Ability to view interconnected systems holistically anticipating the broader impact of changes and designing for resilience. Ownership and Proactiveness: Take responsibility for the reliability and performance of services. Proactively identifying potential problems, performance bottlenecks, and areas for improvement before they impact users.

Key Responsibilities

Infrastructure and Operations: Ensure the reliability and scalability of critical systems by designing and managing robust infrastructure solutions. System Monitoring: Proactively monitor system health, using performance metrics and automated tools to detect potential issues before they impact users. Incident Management: Lead response efforts during service disruptions, ensuring swift resolution and minimal downtime. Problem Solving: Analyze root causes of system failures and implement long-term fixes to enhance system reliability. Automation: Develop scripts and tools to automate repetitive tasks, improving operational efficiency and reducing manual interventions. Collaboration: Partner with development teams to align on reliability goals and implement best practices into software design and deployment. Documentation: Maintain comprehensive system documentation to support consistent and efficient troubleshooting and knowledge sharing. Continuous Improvement: Drive innovation by identifying areas for enhancement and applying cutting-edge technologies and operational practices.

Education & Experience

Education: Bachelor's or Master's Degree in Information systems, Computer Science / Computer Engineering or equivalent. * Experience: 6-10yrs of experience - Mid level