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We are looking for a proactive SRE Developer with 3–5 years of experience to manage Business‑As‑Usual (BAU) SRE operations while driving automation, reliability, and operational excellence. The role focuses on incident management, CI/CD operations, observability, and leveraging AI‑assisted tools to reduce manual effort and improve system reliability across cloud‑native environments.
Job Responsibility:
Handle SRE BAU operations including incident management, root cause analysis, problem resolution, and service restoration
Manage and maintain CI/CD pipelines and deployment automation across environments
Improve system reliability, scalability, and performance through automation and proactive monitoring
Implement and manage observability solutions including logging, metrics, alerting, and dashboards
Utilize AI tools (CursorAI, Generative AI, automation copilots) for faster troubleshooting, documentation, code generation, and incident analysis
Collaborate with engineering, product, and security teams to ensure smooth releases and secure infrastructure
Reduce manual operational effort through AI-assisted automation and scripting
Drive DevOps best practices and continuous improvement initiatives
Requirements:
Strong hands-on experience in SRE or DevOps operations
Expertise in CI/CD tools such as GitHub Actions, GitLab CI, Jenkins, Azure DevOps
Experience with monitoring and observability tools (Grafana, Prometheus, ELK, Splunk, Datadog, New Relic, etc.)
Good understanding of cloud platforms (AWS, Azure, or GCP)
Practical experience using AI tools in daily engineering workflows (CursorAI, ChatGPT, GenAI tools, automation assistants)
Ability to identify repetitive operational tasks and automate using AI or scripts
Familiarity with AI-driven troubleshooting and documentation
Proficiency in Python, Bash, PowerShell, or similar scripting languages
Exposure to Infrastructure as Code (IaC) tools such as Terraform, CloudFormation, ARM, or Ansible
Nice to have:
Experience supporting production environments with on-call rotations
Knowledge of containerization and orchestration (Docker, Kubernetes)
Understanding of performance tuning and capacity planning
Experience integrating AI into operational workflows or automation pipelines
Strong ownership mindset, adaptability, and continuous improvement attitude
Excellent communication and cross‑team collaboration skills