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Senior Site-Reliability Engineer (Agentic AI)

Confidential

Bangalore, Karnataka Hybrid permanent

Posted: February 25, 2026

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Quick Summary

Securonix is leading the transformation of cybersecurity by helping organizations stay ahead of modern threats. Our mission is to enable security teams to decide and act faster across the entire threat lifecycle.

Job Description

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 SaaSOps 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 andmaintain end-to-end automations across monitoring and incident 
management systems (Jira, Slack, ServiceNow, CriticalMon, SparkOpsSuite).

Orchestrate recurring SaaSOps tasks using tools like AWX, Airflow, or Python-based 
automation frameworks.

Integrate AI decision models into workflows to optimize change management, alert 
correlation, and resource scaling. 

 
Observability & Insights 

Extend monitoring coverage through AI-driven alert correlation and anomaly detection 
models.

Collaborate with engineering and product teams to enhance telemetry from Spark, EKS, 
and multi-tenant pipelines.

Use GenAI to generate incident summaries, health reports, and RCA narratives in 
real time. 

 
SaaSOps Innovation & Optimization 

Identify high-impact manual SaaSOps workflows suitable for automation or AI
augmentation. 

Drive continuous improvement through KAPA (Key AI Productivity & Adoption) metrics — measuring AI adoption, efficiency, and ROI.

Partner with CloudOps and DevOps teams to deliver an AI-first operations strategy across global environments. 

 
Required Skills & Experience: 

5–8 years of experience in SaaSOps, Cloud Operations, or IT Automation. 
Strong understanding of Spark, EKS, AWS infrastructure, and SaaS application 
operations. 

Proven experience with Python scripting and REST API integrations. 
Hands-on experience with automation/orchestration tools such as AWX, Airflow, or 
UiPath. 

Familiarity with GenAI platforms (OpenAI, Anthropic, Azure OpenAI, Hugging Face, 
etc.). 

Knowledge of observability tools (CloudWatch, Prometheus, Datadog, Grafana). 
Ability to build AI-assisted automations for tasks like log analysis, incident triage, andjob recovery. 

Strong problem-solving and collaboration skills in cross-functional environments. 
 

Preferred Qualifications: 

Experience integrating ChatGPT or custom copilots with SaaS operations workflows. 

Experience with Jira automation, SparkOpsSuite, SaaSOpsBuddy, or similar 
platforms. 

Knowledge of KAPA metrics or AI adoption analytics frameworks. 

AWS / Azure automation certification preferred. 

 

Benefits: 

As a full-time employee with Securonix, you will be eligible for the following employee benefits:

Health Insurance with a total sum insured is INR 7,50,000

Coverage: Self, Spouse, 2 kids, Dependent parents, or parents-in-law

Personal Accident with total sum insured is INR 10,00,000

Term Life Insurance with a sum assured for employees is 5 times fixed base pay is covered.

Securonix provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, genetic information, marital status, amnesty or status as a covered veteran in accordance with applicable federal, state and local laws. Securonix complies with applicable state and local laws governing non-discrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including hiring, placement, promotion, termination, layoff, recall, and transfer, leaves of absence, compensation and training.

Securonix expressly prohibits any form of unlawful employee harassment based on race, color, religion, gender, sexual orientation, national origin, age, genetic information, disability or veteran status. Improper interference with the ability of Securonix employees to perform their expected job duties is absolutely not tolerated.

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