Senior Site-Reliability Engineer (Agentic AI)

Securonix
Pune, MaharashtraPosted 24 March 2026

Job Description

Senior Site-Reliability Engineer (Agentic AI) Securonix is leading the transformation of cybersecurity by helping organizations stay ahead of modern threats.  Security teams are no longer constrained by data or tools. They are constrained by speed, clarity, and confidence. Securonix was built to close that gap. Our mission is to enable security teams to decide and act faster across the entire threat lifecycle. The Securonix Unified Defense SIEM is the industry’s first platform powered by agentic AI and designed with a human-in-the-loop philosophy. It unifies detection, investigation, and response in a single system. Advanced UEBA delivers deep behavioral insight across users, entities, and data. Native threat intelligence continuously enriches detections and investigations with real-world context. AI reinforces every layer of the platform while keeping accountability with the security team. Built cloud-native for scale and performance, the platform enables real-time analytics, deep investigation, and automated response without compromise. Analysts gain faster access to relevant signals. Investigations move from days to minutes. Response becomes consistent and measurable. The result is a CyberOps experience that scales as threats evolve. Securonix is recognized as a six-time Leader in the Gartner Magic Quadrant for SIEM and a Customers’ Choice on Gartner Peer Insights. The company has been featured by leading publications including WIRED, Dark Reading, and Fortune for its innovation and leadership in security operations. Organizations rely on the platform for always-available data, rapid search and investigation, continuously updated threat content, and a fully integrated Threat Detection, Investigation, and Response experience. Backed by Vista Equity Partners, one of the world’s leading enterprise software investors, Securonix benefits from deep operational expertise and a long-term commitment to innovation and growth. This partnership strengthens our ability to scale the platform, accelerate product execution, and support customers as their security needs evolve. With more than 1,000 customers worldwide, including a meaningful portion of the Fortune 100, Securonix operates at global scale. Our ecosystem of partners and managed security service providers extends that reach, helping organizations deploy and operate with confidence wherever they do business. What drives us is how we work. We win as one team. We operate with trust, respect, and shared accountability. We are customer driven. Innovation is guided by real security challenges and measurable outcomes. We act with agility. Change is constant, and we stay aligned on purpose while adapting fast. That focus is how Securonix helps organizations move from reactive security to proactive, autonomous operations. Summary: We are seeking a  SaaS Ops GenAI and Automation Engineer to design, develop, and implement intelligent automation and AI-driven solutions that enhance reliability, scalability, and efficiency across SaaS Ops  environments. This role combines deep operational understanding with  cutting-edge  Generative AI and automation engineering skills to reduce manual intervention, accelerate root cause analysis (RCA), and enable self-healing infrastructure within Spark, EKS, and cloud environments. Key Responsibilities: AI-Driven  S aaSOps Automation Design and deploy GenAI-enabled workflows that support proactive incident detection, RCA  summarization  and resolution automation. Integrate LLM-based copilots (e.g., ChatGPT, Claude, or internal GPT models) with SaaSOps tools for smart troubleshooting and impact summaries. Implement automation logic to handle Spark job failures, pipeline restarts, and alert remediation without human intervention. Operational Workflow Automation Build and m aintain end-to-end automations across monitoring and incident management systems (Jira, Slack, ServiceNow,  C riticalMon , S parkOpsSuite ) . Orchestrate recu ... (truncated, view full listing at source)
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