Senior Security Engineer, AI & Automation

F5; Hyderabad; Presencial; INR 4 000 000 - 8 000 000; Tempo integral

Resumo da oferta

F5 is seeking a Senior Security Engineer, AI Automation to design, review, and operate production-grade automation and AI capabilities for Security Operations. The role is part of the Security Operations Platform Engineering (SOPE) team, delivering scalable automation and safe AI-enabled systems.

The ideal candidate brings strong software and automation fundamentals, practical AI experience, and the judgment to deploy secure automation at scale.

Qualificações

• Bachelor's degree in CS, cybersecurity, engineering, information systems, or related field.
• 8+ years in software, platform, security, or automation engineering.
• Strong Python and GitLab CI/CD with pipelines, IaC, and deployment workflows.
• Experience building API integrations using REST APIs and secure auth mechanisms.
• Proven experience with AI-assisted, agentic or LLM-powered solutions and safeguards.
• Strong written skills for design docs, ADRs, and technical reviews.

Responsabilidades

• Design and develop production-grade automation and AI capabilities to reduce toil and scale security workflows.
• Review CI/CD pipelines, automation workflows, integrations, and AI-enabled systems.
• Build and maintain API-driven integrations across security tech and cloud services.
• Lead agentic/AI-assisted workflows for investigation, enrichment, and response.
• Establish engineering standards for automation, testing, change management, and reliability.
• Collaborate with IR, Detection, Threat Intel, Threat Hunting, and platform teams to identify use cases.

Conhecimentos

Python

GitLab CI/CD

API integrations

AI/LLM technologies

Design documents

ADRs

Formação académica

Bachelors in CS/Engineering

Ferramentas

REST APIs

OAuth/token-based auth

Descrição da oferta de emprego

Job Summary

The Senior Security Engineer, AI Automation is responsible for designing, reviewing, and operating production-grade automation and AI capabilities that improve the effectiveness, scalability, and reliability of Security Operations. As part of the Security Operations Platform Engineering (SOPE) team, this role develops the platforms, integrations, workflows, and agentic systems that enable Incident Response, Threat Intelligence, Detection Engineering, and Threat Hunting teams to operate more efficiently. The ideal candidate combines strong software and automation engineering fundamentals with practical AI experience and the judgment required to safely deploy systems that influence security operations at scale. This role serves as a senior technical contributor responsible for establishing trusted, maintainable, and secure automation capabilities that other security functions depend upon.

Primary Responsibilities

• Design and develop production-grade automation and AI capabilities that reduce operational toil, improve security outcomes, and scale security operations workflows across the organization.
• Review and approve CI/CD pipelines, automation workflows, integrations, and AI-enabled systems that interact with production security platforms, incident management processes, and operational data.
• Build and maintain API-driven integrations across security technologies, cloud services, AI platforms, and operational tooling while ensuring reliability, security, and observability.
• Lead implementation of agentic and AI-assisted workflows that support investigation, enrichment, correlation, triage, and response activities while maintaining appropriate guardrails, auditability, and human oversight.
• Establish and promote engineering standards for automation development, testing, code review, change management, operational safety, and platform reliability.
• Partner with Incident Response, Detection Engineering, Threat Intelligence, Threat Hunting, and platform engineering teams to identify high-value use cases and deliver scalable automation and AI solutions.
• Evaluate and recommend AI, automation, and orchestration technologies by balancing innovation, risk, maintainability, operational impact, and long-term ownership.

Required Skills / Qualifications

• Bachelor's degree in Computer Science, Cybersecurity, Engineering, Information Systems, or a related field, or equivalent practical experience.
• 8+ years of experience in software engineering, platform engineering, security engineering, automation engineering, or related technical disciplines.
• Advanced proficiency in Python and GitLab CI/CD, including the ability to review, troubleshoot, and approve production automation pipelines, infrastructure-as-code, and deployment workflows.
• Demonstrated experience building and supporting API-driven integrations utilizing REST APIs, OAuth/token-based authentication, pagination, rate limiting, error handling, and service-to-service communications.
• Experience designing, developing, or operating AI-assisted, agentic, or LLM-powered solutions with a demonstrated ability to validate outputs, identify failure modes, and implement appropriate safeguards.
• Strong written communication skills with experience producing design documents, architecture decision records (ADRs), implementation plans, technical reviews, and collaborating effectively in asynchronous, distributed environments.

Preferred Skills / Qualifications

• Experience developing AI agents and workflows using Vertex AI, Agent Development Kit (ADK), LangGraph, LangChain, Semantic Kernel, AutoGen, CrewAI, or similar frameworks.
• Experience with Tines, SOAR platforms, workflow orchestration systems, or large-scale security automation programs.
• Experience supporting Detection-as-Code, CI/CD-driven security content pipelines, or detection engineering programs.
• Experience implementing secure credential management, least-privilege architectures, secrets management, and production-grade security controls.
• Experience integrating security operations platforms such as CrowdStrike, ServiceNow, cloud security services, SIEM platforms, or related enterprise security technologies.