Sr. Specialist DDIT ISC CSOC Engineering - AgentOps Engineer

Novartis India

India

On-site

INR 4,000,000 - 7,000,000

Full time

2 days ago
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Job summary

Novartis India is seeking a software engineering professional to build, deploy and operate an AI-enabled agent platform for cyber defense. You will develop Azure Functions, APIs and agent tools, integrating with enterprise systems and ensuring observability, security and reliability across production pipelines.

The role requires hands-on experience in cloud engineering, DevOps and agent-based AI patterns, with a focus on scalable, auditable solutions and cross-team collaboration across Cyber

Qualifications

  • 6+ years of hands-on software engineering, cloud platform engineering, DevOps, security automation or integration engineering.
  • Proficient in Python and production APIs; practical experience with Azure services like Functions, App Service, Key Vault, Managed Identity, App Insights, Storage.
  • Experience with Git and CI/CD platforms (Azure DevOps or GitHub Actions) including environment promotion, approvals and rollback.
  • Understanding of agentic AI patterns including tools/function calling, instructions, context, state, tracing and evaluation.
  • Ability to troubleshoot across app code, identity, network, platform and dependent-service boundaries.
  • Experience with LLMOps or AgentOps concepts and production guardrails.

Responsibilities

  • Build and maintain Azure Functions, APIs, services and agent tools used to retrieve trusted information and perform actions.
  • Integrate agents with enterprise platforms like Sentinel, Defender, Purview, Graph, Jira, Confluence, SharePoint and storage services.
  • Implement agent workflows for notifications, state management, audit records and human approval.
  • Implement versioning, release controls, automated testing, rollback and recovery patterns.
  • Operate agent runtime reliability with telemetry, health checks, dashboards and alerts.
  • Investigate production incidents across agents, identities, networking and deployment pipelines.
  • Monitor performance, latency, cost and integration health; drive improvements.
  • Maintain comprehensive technical documentation and runbooks.

Skills

Python
Azure Functions
CI/CD
REST APIs
OAuth 2.0
LLM/AgentOps
Troubleshooting
Cross-team

Tools

App Service
Key Vault
Managed Identity
Application Insights
Azure Storage
Networking

Job description

Summary

Role purpose: Build, integrate, deploy and operate the agent platform that powers AI-enabled Cyber Defense. Engineer reliable agent tools, Azure Functions, enterprise integrations, deployment pipelines and runtime controls so agents can move safely from development to production and remain observable, recoverable and supportable.

About The Role

Role purpose: Build, integrate, deploy and operate the agent platform that powers AI-enabled Cyber Defense. Engineer reliable agent tools, Azure Functions, enterprise integrations, deployment pipelines and runtime controls so agents can move safely from development to production and remain observable, recoverable and supportable.

Key Responsibilities:
  • Build and maintain the Azure Functions, APIs, services and agent tools used to retrieve trusted information and perform approved actions
  • Integrate agents with enterprise platforms such as Microsoft Sentinel, Defender, Purview, Graph, Cortex XDR, XSOAR, SharePoint, JIRA, Confluence, Azure Storage, Key Vault and other approved Cyber Defense systems
  • Implement agent workflows and backend services for notifications, feedback, state management, audit records, deduplication, orchestration and human approval
  • Implement versioning, release controls, automated testing, rollback and recovery patterns for agents and supporting services
  • Operate agent runtime reliability through telemetry, tracing, Application Insights, health checks, dashboards, alerts and actionable service-level indicators
  • Investigate and resolve production incidents involving agents, Azure Functions, identities, networking, data access, integrations and deployment pipelines
  • Monitor performance, latency, availability, token or model consumption, operational cost and integration health, and implement improvements based on evidence
  • Maintain clear technical documentation, runbooks, support procedures, configuration records and deployment evidence
Essential Requirement
  • 6+ years of hands-on experience in software engineering, cloud platform engineering, DevOps, security automation or integration engineering
  • Strong proficiency in Python and experience building production APIs, serverless functions or backend services. Practical experience with Microsoft Azure services such as Azure Functions, App Service, Key Vault, Managed Identity, Application Insights, Storage and private networking
  • Experience with Git and CI/CD platforms such as Azure DevOps or GitHub Actions, including environment promotion, approvals and rollback. Experience integrating enterprise systems through REST APIs, SDKs, webhooks, certificates, OAuth 2.0 or managed identities
  • Understanding of agentic AI or LLM application patterns including tools/function calling, instructions, context, state, tracing and evaluation. Understanding of secure software engineering, secrets management, least privilege, input validation and auditability
  • Ability to troubleshoot across application code, identity, network, platform and dependent-service boundaries. Ability to communicate technical decisions clearly and collaborate across Cyber Defense, platform, architecture and engineering teams
  • Experience with Microsoft Foundry, Azure OpenAI, agent frameworks, API Management or multi-agent implementations. Knowledge of LLMOps or AgentOps practices including prompt/instruction versioning, evaluation, tracing, cost controls and production guardrails
  • Background in Cyber Defense, security operations, detection engineering or SOAR automation. Experience designing test harnesses for adversarial inputs, prompt injection, permission boundaries and tool misuse
  • Experience evaluating and using frontier models for enterprise agentic AI solutions.
Desirable Requirement
  • Experience with Infrastructure as Code using Bicep, ARM, Terraform or equivalent tooling. Experience with containers, Kubernetes, event-driven architectures, queues or durable workflow patterns
  • Experience building agentic applications with LangChain and LangGraph . Experience with Amazon Bedrock and its model, agent, knowledge-base or guardrail capabilities.
You’ll receive:

You can find everything you need to know about our benefits and rewards in the Novartis Life Handbook. https://www.novartis.com/careers/benefits-rewards

Commitment To Diversity And Inclusion

Novartis is committed to building an outstanding, inclusive work environment and diverse teams' representative of the patients and communities we serve.

Why Novartis:

Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together? https://www.novartis.com/about/strategy/people-and-culture

Benefits and Rewards:

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