Sr. Security Engineer, Field Innovation, Security Search and Observability (SSO)
for sections: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. Only include sections that have real specific content. We must not repeat job title. No Job ID etc. Remove boilerplate. Preserve all substantive info.
We need to parse the description.
Sections:
- About the role: The first paragraph describing team and role. Could be "About the role". Provide prose.
- Responsibilities: The "Key job responsibilities" bullet list.
- Requirements: Basic Qualifications list.
- Qualifications: Preferred Qualifications list.
- Skills: maybe programming languages knowledge? Could be part of Requirements but we could separate. However we need to avoid thin sections. Could combine.
- Benefits: The paragraph about benefits (health insurance, 401k, etc). Also mention sign-on payments and RSUs.
- Pay: The base salary ranges listed for locations. That's specific content. Should include Pay section.
- Schedule: Not mentioned. No schedule info. So omit.
We must not include filler like "commensurate with experience". Not present.
We need to output only HTML fragment, no /. Use headings, - for lists,
for prose.
We must preserve all substantive info. Ensure we don't lose details like "Work backwards from customers..." etc.
Let's extract.
About the role: The first paragraph(s) before "The Opportunity". Actually description starts: "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."
Then "The Opportunity" paragraph: "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."
We could combine About the role and The Opportunity into one section "About the role". That's fine.
Responsibilities: The bullet list under "Key job responsibilities". Let's extract each:
- 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.
That's it.
Requirements: Basic Qualifications list. Let's extract each bullet (they are sentences separated by spaces). They are:
- 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
We need to keep them as list items.
Qualifications: Preferred Qualifications list. Extract:
- 5+ years of any combination of the following: application security frameworks, identity and access controls, incident response, mobile security, cloud computing and security, AI security, threat intelligence, and penetration testing experience
- Experience architecting, securing, and operating Amazon Web Services
- Experience in the full secure software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
- Experience working in a customer-facing role
Also maybe mention "Amazon is an equal opportunity employer..." but that's boilerplate EEO, remove.
Skills: Could be programming languages knowledge already in Requirements. Could make a Skills section for "Knowledge of at least two of the following programming languages: Scala, Java, Python, C/C++, or Go". But that's already in Requirements. Might be redundant. Better to keep Requirements include that. Could create a Skills section for "Programming languages: Scala, Java, Python, C/C++, Go". But we need to avoid thin sections. Might be okay to have Skills with that list. However we already have that in Requirements; we could keep it there and not create separate Skills. The instruction: Prefer a few substantive sections over many thin ones. So maybe combine Skills into Requirements or Qualifications. But we already have Requirements and Qualifications. Could add Skills as separate if we have content. But we might just not include Skills section to avoid thin.
Benefits: Paragraph about benefits: "Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits." Also earlier: "Your Amazon package will include sign-on payments and restricted stock units (RSUs)." Also mention base salary range? That's Pay.
Thus Benefits section includes sign-on payments, RSUs, health insurance details, 401k, PTO, parental leave.
Pay: The base salary ranges for locations: list each location with range. Must preserve all. Provide as list.
Schedule: none.
We must not include boilerplate like EEO, LA County specifics, accommodation links, etc. Remove those.
Also remove "Company - Amazon Web Services, Inc. Job ID: A10564102". Remove.
Now produce HTML.
Structure:
About the role
... (combined paragraphs)
Responsibilities
- ...
...
Requirements
- ...
...
Qualifications
- ...
...
Benefits
... (including sign-on payments, RSUs, health insurance details, 401k, PTO, parental leave)
Pay
- USA, CA, Santa Clara - $183,000.00 - $247,600.00 USD annually
- USA, TX, Austin - $178,400.00 - $226,700.00 USD annually
- USA, VA, Arlington - $178,400.00 - $226,700.00 USD annually
- USA, WA, Bellevue - $178,400.00 - $226,700.00 USD annually
- USA, WA, Seattle - $178,400.00 - $226,700.00 USD annually
Make sure to preserve dollar signs and formatting.
Check for any other substantive info: "Your Amazon package will include sign-on payments and restricted stock units (RSUs)." Include in Benefits.
Also "Learn more about our benefits at https://amazon.jobs/en/benefits." Could keep as link? The instruction says output only HTML fragment, we can include maybe. But they didn't forbid links. It's substantive. Could include as part of benefits paragraph.
We should not include the "If you have a disability..." accommodation link. That's boilerplate? It's about accommodation; could be considered EEO/legal. Probably remove.
Also remove "Los Angeles County applicants:" etc.
Now craft the About the role paragraph: combine the two paragraphs.
Let's write:
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. 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.
That seems
- for lists,
for prose. We must preserve all substantive info. Ensure we don't lose details like "Work backwards from customers..." etc. Let's extract. About the role: The first paragraph(s) before "The Opportunity". Actually description starts: "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." Then "The Opportunity" paragraph: "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." We could combine About the role and The Opportunity into one section "About the role". That's fine. Responsibilities: The bullet list under "Key job responsibilities". Let's extract each: - 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. That's it. Requirements: Basic Qualifications list. Let's extract each bullet (they are sentences separated by spaces). They are: - 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 We need to keep them as list items. Qualifications: Preferred Qualifications list. Extract: - 5+ years of any combination of the following: application security frameworks, identity and access controls, incident response, mobile security, cloud computing and security, AI security, threat intelligence, and penetration testing experience - Experience architecting, securing, and operating Amazon Web Services - Experience in the full secure software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations - Experience working in a customer-facing role Also maybe mention "Amazon is an equal opportunity employer..." but that's boilerplate EEO, remove. Skills: Could be programming languages knowledge already in Requirements. Could make a Skills section for "Knowledge of at least two of the following programming languages: Scala, Java, Python, C/C++, or Go". But that's already in Requirements. Might be redundant. Better to keep Requirements include that. Could create a Skills section for "Programming languages: Scala, Java, Python, C/C++, Go". But we need to avoid thin sections. Might be okay to have Skills with that list. However we already have that in Requirements; we could keep it there and not create separate Skills. The instruction: Prefer a few substantive sections over many thin ones. So maybe combine Skills into Requirements or Qualifications. But we already have Requirements and Qualifications. Could add Skills as separate if we have content. But we might just not include Skills section to avoid thin. Benefits: Paragraph about benefits: "Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits." Also earlier: "Your Amazon package will include sign-on payments and restricted stock units (RSUs)." Also mention base salary range? That's Pay. Thus Benefits section includes sign-on payments, RSUs, health insurance details, 401k, PTO, parental leave. Pay: The base salary ranges for locations: list each location with range. Must preserve all. Provide as list. Schedule: none. We must not include boilerplate like EEO, LA County specifics, accommodation links, etc. Remove those. Also remove "Company - Amazon Web Services, Inc. Job ID: A10564102". Remove. Now produce HTML. Structure:
About the role
... (combined paragraphs)
Responsibilities
- ... ...
Requirements
- ... ...
Qualifications
- ... ...
Benefits
... (including sign-on payments, RSUs, health insurance details, 401k, PTO, parental leave)
Pay
- USA, CA, Santa Clara - $183,000.00 - $247,600.00 USD annually
- USA, TX, Austin - $178,400.00 - $226,700.00 USD annually
- USA, VA, Arlington - $178,400.00 - $226,700.00 USD annually
- USA, WA, Bellevue - $178,400.00 - $226,700.00 USD annually
- USA, WA, Seattle - $178,400.00 - $226,700.00 USD annually
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. 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.
That seems