AmazonSoftware Development Manager, Amazon Security Data Engineering
Amazon is hiring a Software Development Manager, Amazon Security Data Engineering. It pays $185k-$250k a year and Level rates it ; you can apply on Amazon.
Level's read on this job
- On Level's scale, this data engineer role is Little AI ●○○○: aI is not part of the work.
- Pay on this posting starts 27% higher than the typical data engineer posting on Level.
- The posting mentions Apache Iceberg, AWS Glue and Parquet among its tools and skills.
- Level classes it as a senior role.
- Amazon has 20,000+ other open roles on Level.
AI in this role
Lead a software development team building petabyte-scale data cataloging and optimization systems for Amazon's Security Data Lake.
Key job responsibilities
Lead, mentor, and grow a team of software developers building the Security Data Lake's cataloging and optimization platform
• Drive technical vision and roadmap for systems that manage petabyte-scale data catalogs supporting Apache Iceberg, AWS Glue, Parquet, and other formats
• Oversee the design and implementation of distributed systems for data optimization including compaction, re-organization, and indexing at scale
• Partner with data engineers and security teams across AWS, Amazon Stores, Digital, and other business units to understand their requirements and deliver platform capabilities
• Guide architectural decisions for systems that balance multiple latency scenarios—from minute-level batch detections to month-spanning threat hunting queries
• Establish software engineering best practices, code quality standards, and operational excellence for platform development
• Build systems that enable data engineers to optimize performance and reduce Incident Response and Threat Hunting times, directly impacting security outcomes
• Manage team capacity planning, sprint execution, and delivery commitments for critical security infrastructure
• Conduct performance reviews, career development conversations, and hiring activities
• Foster a culture of innovation, ownership, and customer obsession focused on building scalable platforms
• Collaborate with peer teams across Amazon Security and data platform teams to drive cross-functional initiatives
• Manage on-call and operational readiness
About the team
The Data Cataloging and Optimization team builds the platform layer that makes Amazon's Security Data Lake fast and efficient at petabyte scale. We're software developers passionate about distributed systems, working with Apache Iceberg, AWS Glue, and Parquet to build optimization systems for data compaction, re-organization, and indexing. Our platform enables data engineers and security analysts across AWS, Amazon Stores, and Digital to investigate incidents and hunt threats—reducing query times from months to minutes. We emphasize ownership, technical excellence, and customer obsession while collaborating across Amazon Security to solve hard problems that directly impact Amazon's security posture.
Basic qualifications
- 3+ years of engineering team management experience
- 7+ years of engineering experience
- 8+ years of leading the definition and development of multi tier web services experience
- 3+ years of Software Engineer, Software Developer, or related occupational experience
- 1+ years of providing technical leadership and project management for all aspects of the software development lifecycle experience
- 1+ years of developing large-scale, multi-tiered distributed software systems using Java, C#, or C++ experience
- 1+ years of developing large-scale, multi-tiered distributed software systems using service-oriented architecture experience
- 1+ years of developing large-scale, multi-tiered distributed software systems using distributed programming experience
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
- Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations
- Experience partnering with product or program management teams
Preferred qualifications
- Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy
- Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. 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.
USA, VA, Herndon - 184,900.00 - 250,200.00 USD annually
How we rate this
Software Development Manager, Amazon Security Data Engineering at Amazon rates 0 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Pay
- This job starts at
- $185k
- Typical data engineer job
- $145k
This posting starts 27% above the typical data engineer job. See data engineer jobs
Questions you could be asked
- Tell me about a project where distributed systems was part of your work. What did you do?
- Tell me about a project where data engineering was part of your work. What did you do?
- Tell me about a project where software development was part of your work. What did you do?
- Tell me about a project where data cataloging was part of your work. What did you do?
- Walk me through how you've used Apache Iceberg in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Distributed Systems, Data Engineering, Software Development, Data Cataloging, and Apache Iceberg. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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