Sre Operation Lead Sre With Python

Must Have Technical/Functional Skills
Strong Python and/or Shell scripting
Strong programming background in Java/Spring Boot and/or .NET
REST APIs and Microservices
SQL and database troubleshooting
Git/source control
CI/CD pipelines
Application and production debugging
Log analysis
Monitoring/observability tools
Linux/Unix
Automation and self-healing implementation
Strong RCA/problem-solving capability

Good to Have
New Relic
Splunk/Scalyr
Docker/Kubernetes
Azure or AWS
Jenkins/Azure DevOps
ServiceNow
API Gateway/API Connect
Messaging technologies such as Kafka/RabbitMQ/Service Bus

Roles & Responsibilities
Production Troubleshooting & RCA
Troubleshoot production issues across UI, APIs, microservices, application, database and infrastructure layers.
Analyze logs, application errors, API failures, latency and service dependencies.
Perform code-level debugging to identify root causes rather than limiting investigation to monitoring/log analysis.
Develop permanent engineering fixes for recurring production problems.
Reduce MTTR through automation and faster root-cause identification.
Client's current SRE direction specifically emphasizes improved RCA, impact analysis, anomaly detection and faster incident resolution

Automation & Self-Healing
Rapidly develop Python/Shell/PowerShell or application-level automation scripts for repetitive SRE activities.
Build self-healing and auto-remediation solutions for known production failure scenarios.
Automate recurring operational runbooks and SOPs.
Develop automated health checks and post-deployment validation.
Identify repetitive manual activities and convert them into zero/minimal-touch automation.
Integrate monitoring alerts with automated remediation where applicable.
This directly aligns with client's documented SRE focus on self-healing systems, auto-remediation scripts, workflow automation, automated platform health checks and automation of recurring SOPs

Microservices & Full-Stack Engineering
Strong ability to understand microservices architecture and service-to-service interactions.
Debug REST APIs and distributed application flows.
Ability to navigate unfamiliar codebases and quickly understand application behavior.
Troubleshoot issues across frontend, backend, middleware and data layers.
Understand containerized applications and distributed systems.
Make application/code/configuration fixes when required instead of depending entirely on development teams.