Sr. Security Engineer, Field Innovation, Security Search and Observability (SSO)

Description

• The Field Innovation team is a Forward Deployed Engineering (FDE) group inside the AWS Security, Search, Observability, and Governance service team. We work directly with customers to build next-generation

Description

• The Field Innovation team is a Forward Deployed Engineering (FDE) group inside the AWS Security, Search, Observability, and Governance service team. We work directly with customers to build next-generation security capabilities that help the world's largest enterprises get faster return on value from security, search, observability, and governance services. We are hiring a Senior Security Engineer to work at the intersection of customer impact and AI. Our team builds and operates the detection, correlation, and vulnerability-management capabilities behind security services such as AWS Security Hub, AWS CloudTrail, and AWS GuardDuty, as well as our newest AI-powered offering, AWS Continuum, which manages the full lifecycle of code vulnerabilities at machine speed. You'll work with customers to understand how they operate, then partner with service teams to design and ship commercial-grade security products powered by modern AI, including large language models, AI-assisted development tools, security agents, and emerging frameworks. Your code ships to real customers, and your architectural decisions will shape how Fortune 500 companies operate. The Opportunity Your impact here will be immediate and visible. You'll ship features that directly change how customers run their businesses, and you'll see the impact of your work in weeks, not years. The team is small enough that your decisions carry real weight and large enough that you'll always have someone to learn from. This is a dual-facing role. On the field side, you'll work directly with customers to implement the latest features of our security services, leading threat-modeling sessions, performing vulnerability assessments with security agents, and guiding remediation. On the partner side, you'll work with leading third-party security providers to identify their highest-signal findings and turn them into correlated, high-fidelity detections. Across both, you'll design and implement detection content, reduce false positives at scale, and expand coverage across cloud resources, runtime, and AI/ML workloads. Everything you learn in the field feeds back into the product. AI is not a side experiment on this team. It's a core part of the stack. You'll build with large language models, AI-assisted development tools, security agents, agent frameworks, and retrieval-augmented generation as everyday engineering primitives. Key job responsibilities • Run early-access and gated previews of our newest AI-powered capabilities with customers, including threat modeling, vulnerability assessment using security agents, and remediation guidance. • Work backwards from customers to shape detection coverage and influence service roadmaps, feeding field and partner insights back to science and engineering teams. • Drive detection engineering best practices, including security-value evaluation, false-positive reduction, and coverage measurement. • Stay current with the evolving cloud security and threat landscape, including emerging threats targeting agentic AI and ML applications. • Collaborate across science, engineering, partner, and field teams, operating with flexible hours to support global customers and distributed stakeholders.

Basic Qualifications

• - 5+ years of non-internship background in troubleshooting systems issues, analyzing logs, or automating complex tasks using command line tools experience - 5+ years of work in identifying security issues and risks, and developing mitigation plans experience - 5+ years of (non-internship) scripting, programming, and security code review in common programming languages experience - Knowledge of at least two of the following programming languages: Scala, Java, Python, C/C++, or Go - Experience (non-internship) in industry-based security vulnerabilities identification, attack patterns, and remediation techniques - Experience as a mentor, tech lead or leading an engineering team - Bachelor's degree in Computer Science or a related field

Preferred Qualifications