Company - Our client is a leading global consulting and technology organization specializing in cybersecurity, digital transformation, and advanced technology solutions. The organization supports complex enterprise environments and is at the forefront of innovation in cloud security, artificial intelligence, and security operations modernization.
Job Title - Security Solutions Architect - SecOps & AI (Senior/Lead Level)
Location - Remote in the US
Must Have Skills:
- 8+ years of cybersecurity engineering and architecture experience, including enterprise-scale security solutions and complex commercial technology environments.
- Deep hands-on expertise in SecOps architecture and engineering, including SIEM, SOAR, EDR/XDR, detection engineering, incident response, security analytics, and automation.
- Strong production-level software development experience with both Go (Golang) and Python, including cloud SDKs, APIs, backend services, security integrations, and automation frameworks.
- Cloud-native security architecture expertise across AWS, GCP, or Azure, including IAM, logging, monitoring, networking, and scalable security integrations.
- Knowledge of AI/LLMs and agent-based security automation, particularly for SOC operations, alert triage, investigations, and threat detection.
- Proven client-facing technical leadership, including advising CISOs and security executives, leading technical discovery, and contributing production-quality code.
Responsibilities and Job Details:
- Architect, design, develop, and implement enterprise-scale security solutions across complex commercial and cloud environments.
- Lead Security Operations Center (SOC) modernization initiatives, focusing on advanced threat detection, incident response, security analytics, and automation.
- Design and implement security integrations across SIEM, SOAR, EDR/XDR, and cloud-native security platforms.
- Develop production-quality software and automation solutions using Go and Python, leveraging APIs, cloud SDKs, and backend services.
- Explore and implement AI/LLM-driven security capabilities, including agent-based workflows for investigation, alert triage, and threat detection.
- Advise CISOs, security leaders, and technical stakeholders on security architecture, operational improvements, and technology strategy.
- Lead technical discovery sessions, assess existing security environments, and translate business and security requirements into scalable technical solutions.
- Collaborate with engineering teams to build secure, reliable, and maintainable cloud-native security architectures.
- Apply security engineering best practices across cloud infrastructure, identity and access management, logging, monitoring, and network security.
- Leverage technologies such as Kubernetes, Docker, Terraform, and detection-as-code frameworks where applicable.
- Bring a combination of strategic consulting expertise and hands-on engineering capabilities to support large-scale enterprise security initiatives.
- Participate in a virtual consulting bench for consideration for future client engagements