Software Dev Engineer II, Secure Customer Content Storage and Analytics, AWS Applied AI Solution – Core Services jobs in United States
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Amazon Web Services (AWS) · 2 hours ago

Software Dev Engineer II, Secure Customer Content Storage and Analytics, AWS Applied AI Solution – Core Services

Amazon Web Services (AWS) is a leading cloud platform that offers a comprehensive suite of services. The Software Development Engineer II role involves owning production systems for secure data storage and analytics, enhancing performance, and collaborating with teams to drive AI capabilities while ensuring compliance and security standards are met.

Agentic AIConsultingDevOpsInformation TechnologySoftwareWeb Development
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H1B Sponsor Likelynote

Responsibilities

Own and deliver complete software features for event-based data storage systems, from design through deployment and operations, ensuring they provide flexible, secure, and compliant platforms for AI-powered business applications
Maintain, refactor, and enhance existing storage and analytics platform, identifying opportunities to improve performance, scalability, and operational excellence while eliminating technical debt
Design and implement software solutions for data access interfaces and authorization systems within established architectural strategies, seeking guidance from senior engineers when facing complex technical tradeoffs
Mentor team members through code reviews, documentation, and knowledge sharing—providing meaningful feedback, training newcomers on system architecture, and facilitating technical discussions that promote operational excellence
Resolve operational issues by identifying root causes and implementing permanent fixes for compliance features, data deletion APIs, and customer opt-out mechanisms, going beyond quick workarounds
Work directly with business application teams and stakeholders to understand requirements, translating them into technical solutions that balance customer needs with platform sustainability
Take ownership of security implementations including encryption, access controls, audit trails, and PII handling, ensuring software can be maintained and extended by other engineers
Drive improvements to self-service platforms and control planes, making priority tradeoffs between new feature development and operational work while maintaining governance standards

Qualification

Software developmentData storage systemsData security complianceAWS servicesDistributed systemsMachine learning infrastructureEvent-driven architecturesData access controlsTechnical discussionsCross-team collaborationMentorship

Required

3+ years of non-internship professional software development experience
3+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
Experience with full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
Experience designing and implementing data storage systems, ETL pipelines, or machine learning infrastructure for model training and evaluation workflows
Proven track record building distributed systems with event-driven architectures and APIs that operate reliably at enterprise scale
Experience with data security, privacy compliance, and implementing data retention/deletion mechanisms
Working knowledge of AWS services for data processing and machine learning such as S3, SageMaker, and related data infrastructure

Preferred

5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
Bachelor's degree in computer science or equivalent
Successful history of cross-team collaboration, driving technical convergence while maintaining delivery velocity
Experience with distributed machine learning training platforms and workflow orchestration systems
Production experience implementing data access controls, authorization systems, and multi-tenant data isolation
Knowledge of PII handling, data pseudonymization, and privacy-preserving techniques
Experience building self-service platforms and control planes for data platform management
Familiarity with streaming data ingestion, real-time processing, and efficient querying at scale
Experience with data lineage tracking, audit trails, and compliance reporting systems

Benefits

Equity
Sign-on payments
Full range of medical, financial, and/or other benefits

Company

Amazon Web Services (AWS)

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Launched in 2006, Amazon Web Services (AWS) began exposing key infrastructure services to businesses in the form of web services -- now widely known as cloud computing.

H1B Sponsorship

Amazon Web Services (AWS) has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (22803)
2024 (21175)
2023 (19057)
2022 (24088)
2021 (12233)
2020 (14881)

Funding

Current Stage
Late Stage
Total Funding
unknown
Key Investors
BIRD Foundation
2025-01-22Grant

Leadership Team

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Matt Garman
Chief Executive Officer
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Anand Desikan
CTO, CXO Advisor, and Enterprise Technologist
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Company data provided by crunchbase