Senior SRE - Data & AI Operations

Overview

Senior SRE role supporting the operational stability, reliability and availability of enterprise data, analytics, streaming and integration platforms, working with Platform SRE, Platform Engineering, Data Engineering, Integration, CloudOps and Security teams.

What you'll do

• Monitor platform health across data pipelines, APIs, streaming platforms and cloud services
• Triage, investigate and resolve production incidents and service requests
• Execute and improve operational runbooks and standard operating procedures
• Coordinate incident resolution across Platform Engineering, SRE, Data Engineering and external vendors
• Support release activities, configuration changes and production validations
• Participate in incident reviews and contribute to problem management activities
• Own incident lifecycle activities including detection, communication, resolution and closure
• Perform root cause analysis (RCA) and contribute to preventive and corrective actions
• Identify recurring issues and work with SRE and engineering teams to reduce operational toil
• Ensure adherence to incident, problem and change management processes and SLAs
• Use monitoring and logging tools to detect anomalies and performance degradation
• Improve alert quality by reducing noise and improving signal-to-noise ratio
• Work with SRE to refine dashboards, alerts and operational metrics
• Support SLIs/SLOs from an operational execution perspective
• Leverage GenAI / LLM-based tools to improve production support efficiency and quality, including faster log analysis and incident triage, pattern detection across recurring incidents, and root cause hypothesis generation
• Contribute to building and maintaining AI-powered support assistants (e.g., Platform GPT) for runbook recommendations, knowledge retrieval and troubleshooting guidance, and incident summarization and post-incident reporting
• Identify opportunities where GenAI can reduce manual effort in incident analysis, knowledge management, support documentation and alert enrichment
• Partner with Platform Engineering to operationalize AI-enabled support workflows safely and responsibly
• Act as a key interface between Production Support, SRE and Platform Engineering
• Provide operational feedback to influence platform design for better supportability
• Maintain clear documentation of incidents, known issues and operational procedures
• Mentor junior support engineers and promote operational best practices
• Participate in platform readiness and operational reviews

What you'll need

• 8–10+ years of experience in Production Support, Platform Operations, SRE or AIOps roles supporting enterprise platforms
• Strong experience supporting cloud-based data and analytics platforms and services (GCP preferred, AWS)
• Hands-on operational experience with data platforms and pipelines
• Hands-on operational experience with API platforms (e.g., Apigee, GKE etc.)
• Hands-on operational experience with streaming systems (Kafka, Pub/Sub)
• Familiarity with monitoring and observability tools (Grafana, Prometheus, ELK, Cloud Monitoring)
• Working knowledge of CI/CD pipelines and release processes
• Strong troubleshooting skills across distributed systems
• Expertise in containerization and orchestration technologies like Docker and Kubernetes
• Experience in infrastructure as code (IaC) using tools like Terraform
• Practical experience using GenAI/LLM tools (e.g., ChatGPT, Gemini, internal LLM platforms) for operational use cases
• Ability to apply AI tools to improve incident response, knowledge discovery and operational documentation
• Familiarity with automation and scripting (Python, shell, or similar)
• Understanding of responsible AI usage, data privacy and security considerations in production environments
• Knowledge of incident, problem and change management frameworks (ITIL-aligned)
• Understanding of SRE concepts such as SLIs, SLOs and error budgets (execution-focused)
• Experience working in agile, DevOps-oriented environments
• Strong analytical and problem-solving skills
• Calm, structured communicator during high-severity incidents
• Excellent coordination and stakeholder management abilities
• Continuous improvement mindset with an interest in automation and AI-driven efficiency

Nice to have

• Experience supporting enterprise-scale data warehouses (BigQuery etc.)
• Exposure to AI/ML operations or data platform governance
• Experience contributing to internal tooling, knowledge bases or support automation frameworks

Details

• Location: Bangalore Office BLS2