Senior Security Engineer

Accountabilities • Security Automation Development: Design, develop, and maintain reusable security automation components, connectors, integrations, and playbooks that improve the efficiency and consistency of security operations.

• SOC Workflow Optimization: Build scalable automation solutions for incident response, threat investigation, alert triage, enrichment, and other security operations workflows.

• Production-Ready Engineering: Translate customer requirements, real-world use cases, and technical proof-of-concepts into reliable, maintainable, production-grade security automation solutions.

• Security Platform Integration: Develop and maintain integrations with SIEM, SOAR, EDR, vulnerability management, and threat intelligence platforms to enable seamless communication and data exchange across security tools.

• Automation Framework Development: Create modular automation frameworks that can be deployed across diverse customer environments, ensuring scalability, performance, reliability, and ease of maintenance.

• AI and LLM Integration: Incorporate artificial intelligence and large language models into security workflows to support intelligent analysis, automated investigations, and improved security decision-making.

• Agentic Security Workflows: Explore and implement AI-powered investigation and response capabilities, combining traditional rule-based automation with AI-driven reasoning where appropriate.

• Reliability and Security Validation: Implement suitable testing, validation, and safeguards to ensure automation components and AI-enabled workflows are secure, accurate, and dependable.

• Software Engineering Best Practices: Apply code reviews, testing, documentation, version control, and performance optimization to maintain high standards of software quality.

• Content Library Management: Maintain and enhance a reusable security automation content library used across customer environments, improving deployment consistency and operational usability.

• Troubleshooting and Continuous Improvement: Diagnose integration and automation issues, implement long-term fixes, and identify opportunities to improve performance and prevent recurring problems.

• Cross-Functional Collaboration: Partner with Sales Engineering, Professional Services, and Product teams to understand customer requirements, support technical proof-of-concepts, and improve solution delivery.

• Customer-Driven Innovation: Incorporate customer feedback into automation development and product improvements, helping expand reusable security capabilities and strengthen the customer experience.

Requirements

• Professional Experience: Demonstrated experience in security engineering, cybersecurity automation, security software development, or a related technical discipline, with strong engineering expertise appropriate for a senior-level role.

• Programming Skills: Strong hands-on programming experience in Python, with JavaScript experience also valuable for automation and integration development.

• SOAR Expertise: Practical understanding of Security Orchestration, Automation, and Response platforms, including the design, development, and implementation of automated security workflows.

• Playbook Development: Experience building and maintaining security playbooks for incident response, threat investigation, alert triage, enrichment, and operational automation.

• Cybersecurity Fundamentals: Solid understanding of security operations, threat detection, incident response, and the tools used to protect enterprise environments.

• Security Platform Knowledge: Practical familiarity with SIEM, SOAR, EDR, vulnerability management, and threat intelligence platforms, including their integration and operational use.

• Software Engineering Principles: Strong understanding of algorithms, data structures, testing methodologies, maintainable code, version control, and performance optimization.

• Automation and Integration: Ability to develop reliable integrations between security tools and transform complex technical requirements into scalable, production-ready automation solutions.

• APIs and Connectivity: Familiarity with REST APIs, webhooks, authentication mechanisms, and third-party system integrations.

• AI and Generative AI: Understanding of AI, LLMs, generative AI, agentic workflows, and AI-powered automation frameworks, including their potential applications in security operations.

• Problem-Solving: Strong analytical and troubleshooting skills, with the ability to investigate complex technical challenges and design efficient, scalable solutions.

• Ownership and Collaboration: A proactive, accountable approach to engineering work, with strong communication skills and the ability to collaborate across technical and customer-facing teams.

• Adaptability: Ability to work effectively in a fast-paced, product-focused engineering environment while balancing technical quality, customer requirements, and delivery timelines.

• Preferred: Experience developing reusable security automation content for multiple customer environments.

• Preferred: Experience integrating EDR, vulnerability management, and threat intelligence solutions.

• Preferred: Familiarity with SOC operations, incident response processes, and threat engineering.

• Preferred: Knowledge of JavaScript for automation and integration development.

• Preferred: Practical experience applying generative AI, LLMs, or agentic workflows to security investigations and automated response processes.

Benefits

• Competitive compensation: Advertised annual salary range of INR 12 lakh to INR 45 lakh (₹12–45 LPA), depending on experience and suitability.

• Remote work: Work remotely from India, offering flexibility in your working environment.

• Full-time employment: Opportunity to join a product-focused engineering team in a full-time capacity.

• Advanced technology exposure: Hands-on experience with security automation, SIEM/SOAR ecosystems, AI-powered workflows, and emerging cybersecurity technologies.

• Technical ownership: Opportunities to design reusable automation frameworks and influence the development of production-grade security solutions.

• Cross-functional collaboration: Work with product, sales engineering, and professional services teams to solve real-world customer challenges.

• Professional development: Opportunities to deepen expertise in cybersecurity engineering, Python development, AI-enabled security operations, and enterprise integrations.

• Customer impact: Contribute to solutions designed to improve security operations, accelerate incident response, and support multiple customer environments.

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