Sreejan Shrivastava

Director of Engineering

Seattle, Washington, United States8 yrs 7 mos experience

Highly Stable

Key Highlights

Rapidly advanced to L6 Engineering Manager in under 5 years.
Led cross-functional teams delivering multi-million dollar cost savings.
Expertise in architecting high-availability distributed systems.

Stackforce AI infers this person is a Cloud Computing and Fintech expert with strong leadership in infrastructure and automation.

Contact

shrivastavas@amazon.com LinkedIn

Skills

Core Skills

InfrastructureSystem ArchitectureMachine Learning

Other Skills

Android DevelopmentCC++Data ProcessingHTMLJavaJavaScriptLarge-scale Data ProcessingLinuxMatlabMicrosoft OfficeMySQLProgrammingProject ManagementPython

About

Results-driven engineering leader with 5+ years of leadership experience and ~10 years in software development, building and scaling mission-critical infrastructure systems at Amazon and AWS. Advanced from entry-level developer to L6 Engineering Manager in under 5 years, demonstrating rapid career progression through technical excellence and leadership in large-scale systems serving millions of customers. Took 800+ interviews for the company, a Bar Raiser and AWS Security Guardian. Led cross-functional teams delivering multi-million dollar cost savings through automated financial platforms and next-generation cloud storage solutions. Proven track record of architecting high-availability distributed systems, managing complex technical migrations, and driving end-to-end software development lifecycle from conception to global deployment. Expertise in machine learning automation, infrastructure scalability, stakeholder management, and delivering measurable business impact in cloud computing and financial operations domains.

Experience

Amazon web services (aws)

Software Development Manager

Sep 2022 – Present · 3 yrs 6 mos · Seattle, Washington, United States

Leading cross-functional engineering teams in architecting and delivering mission-critical storage infrastructure systems serving millions of customers. Spearheaded the design and implementation of next-generation usage tracking and quota management platform, managing complex technical dependencies across 6+ services while ensuring zero-downtime migration from legacy systems. Driving end-to-end software development lifecycle including stakeholder alignment, technical roadmap planning, and phased deployment strategies across global infrastructure.
Key Achievements:
Architected scalable usage tracking system handling real-time volume lifecycle operations (create, modify, delete) with transaction-guaranteed consistency and fail-safe design principles
Managed multi-team coordination for complex integration projects involving workflow orchestration, data migration, and API development across distributed systems
Implemented comprehensive durability and data integrity initiatives including automated corruption detection, reconciliation systems, and proactive volume health monitoring
Led security review processes and operational readiness assessments for high-availability storage services supporting enterprise-scale workloads
Delivered customer-facing analytics and monitoring capabilities providing 100% usage visibility through real-time metrics publishing and automated quota management
Established robust testing frameworks including canary deployments, shadow mode validation, and comprehensive integration testing across production environments
Demonstrated expertise in large-scale distributed systems, infrastructure reliability engineering, and technical leadership in cloud storage domain with deep understanding of availability, consistency, and performance trade-offs in mission-critical services.

Large-scale Data ProcessingInfrastructureSystem ArchitectureStakeholder ManagementProject Management

Amazon

3 roles

Software Development Manager

Promoted

Jun 2020 – Sep 2022 · 2 yrs 3 mos

Led engineering team in developing and scaling automated dispute resolution platform for third-party transportation network, delivering multi-million dollar annual cost savings through intelligent invoice processing and anomaly detection. Architected machine learning-driven dispute identification algorithms that reduced manual review overhead while improving accuracy of carrier billing discrepancies across Amazon's logistics ecosystem.
Key Achievements:
Built end-to-end automated dispute platform processing millions of carrier invoices annually, implementing advanced detection algorithms that identified billing anomalies and contract violations
Delivered measurable financial impact through automated dispute resolution, generating multi-million dollar year-over-year savings by reducing erroneous charges and optimizing carrier payment workflows
Scaled engineering team and technical architecture to handle exponential growth in transaction volume while maintaining sub-second processing latency for real-time dispute detection
Implemented comprehensive data pipeline and analytics framework enabling business intelligence insights into carrier performance, billing patterns, and cost optimization opportunities
Established robust testing and validation frameworks ensuring high accuracy in financial dispute detection while minimizing false positives that could impact carrier relationships
Drove cross-functional collaboration with finance, operations, and legal teams to ensure compliance and optimize dispute resolution processes
Career Progression: Advanced from entry-level developer to L6 Engineering Manager within 5 years, demonstrating rapid technical growth and leadership capability in high-impact financial systems domain with expertise in automation, machine learning, and large-scale data processing.