# Ruturaj Nene > Software Development Engineer II @ Amazon | Building & Scaling Cloud-Native Platforms | Backend Engineering | Microservices & Event-Driven Architecture | AWS Technologies | Cross-Functional Stakeholder Management Location: Boston, Massachusetts, United States Profile: https://flows.cv/ruturaj I’m a Software Development Engineer with 6 years of experience designing and delivering scalable, high-impact systems within complex, cross-functional environments. My work sits at the intersection of architecture, problem-solving, and leadership, where I translate ambiguous requirements into elegant, reliable, and performant solutions that move business metrics forward. Over the years, I've lead multiple initiatives at scale, each requiring deep technical design, stakeholder management across teams and ownership from concept to launch. I've authored and reviewed designs, managed development timelines as a project lead, and influenced architectural decisions that enhanced service reliability. My technical foundation spans distributed systems, backend service & API design with a focus on performance, fault tolerance, and clean abstractions. Beyond technical delivery, I’m passionate about mentoring and enabling engineers to reach their next level. I’ve actively supported peers and junior developers through design guidance, knowledge sharing, and fostering a culture of engineering excellence. I value clear communication, collaboration, and a strong sense of ownership - qualities that have helped me build trust across teams and drive alignment even in highly dynamic environments. At my core, I’m passionate about building scalable, reliable systems that solve complex problems, enhance performance, and create meaningful impact through thoughtful engineering and continuous learning. ## Work Experience ### Software Development Engineer II @ Amazon Jan 2022 – Present | Greater Boston Area • Led a key workstream within an SVP-level initiative to improve inbound cargo reliability, aligning 6+ partner teams to deliver a multi-system solution that enhanced delivery predictability and reduced processing delays. • Engineered and deployed a Scalable Delivery Window system leveraging carrier transit-time data, improving delivery window accuracy across 97% of the network and optimizing inbound network performance. • Designed a pricing database with DynamoDB, ingesting 20M+ weekly markup records with a multi-tier fallback model supporting sub-10 ms query latency and seamless scalability. • Re-designed the Document Management System, introducing a custom Serverless Configuration Store with control and data planes, enabling document management via Self-Service UI and cutting onboarding time by 60%. • Spearheaded Full-CD adoption, refactoring 4 pipelines and introducing automated freshness tracking to improve release visibility and reliability by 40%. • Deprecated 3 legacy services by migrating 6 dependency integrations and enabling cross-region infrastructure support, achieving an 8% reduction in compute costs and improved system resilience. • Organized design workshops and roadmap planning under the 3-Year Architecture Plan, that accelerated engineer ramp-up, enabling 3 independent project deliveries in one quarter, improving scalability and cutting costs by 5%. • Mentored junior team members and 3 interns, providing design guidance, code reviews, debugging sessions - leading to 2 full-time conversions and accelerated ramp-up for new hires. ### Software Development Engineer @ Amazon Jan 2020 – Jan 2022 | Greater Boston Area • Partnered with cross-functional teams to deliver an online document management platform, transitioning sellers from offline/email workflows to a unified web portal for streamlined operations saving 60+ hours weekly across teams. • Led end-to-end development of the On-Demand Deletion feature for the Document Management System, mentoring 3 engineers and delivering a compliance-critical launch supporting high TPS workloads. • Onboarded 10+ API clients to the Document Management System within months of launch and established a self-service onboarding guide, reducing future integration time by 50%. • Designed and implemented Serverless REST APIs extending the Document Management System to internal clients, enabling generation and storage of 1M+ documents weekly with secure, scalable access. • Collaborated on a cross-team initiative leveraging AWS Services to automate generation of customs documents, streamlining global shipment workflows and reducing manual processing time by 40%. ### Intramural Sports Supervisor @ Northeastern University Jan 2018 – Jan 2019 | Greater Boston Area • Supervise Intramural Sports like Soccer, Volleyball, etc. • Assign officials to officiate games, fill out injury and ejection reports, evaluate performance of the officials. ### Intramural Sports Official @ Northeastern University Jan 2018 – Jan 2018 | Greater Boston Area • Officiate Intramural Sports like Soccer, Volleyball, etc. and keep time and score for the same. ### Integration Developer Co-op @ RapidMiner Jan 2018 – Jan 2018 | Greater Boston Area • Developed Machine Learning extensions with Java around Google Cloud APIs enhancing text analysis and speech recognition capabilities of RapidMiner Studio thus increasing customer satisfaction • Accomplished integrations by collaborating with various third-party vendors such as Qlik, Talend, Tableau, establishing a smooth pipeline across platforms for building powerful predictive models • Initiated and implemented a feature in React-Spring boot for seamless data integration between Business Intelligence tools and RapidMiner AutoModel by integrating REST services at the backend, removing an overhead of manual data-storage and transformation • Built and documented a Conda package and an Angular 6 library providing modules/components to run RapidMiner Server jobs, AutoModel processes allowing integration with various development environments and served as excellent POCs for multiple customers • Assisted the community team and academy team for migration of both their websites, helping them accomplish the task well in time, leading to a successful launch ### Graduate Teaching Assistant @ Northeastern University College of Computer and Information Science Jan 2018 – Jan 2018 | Greater Boston Area • Graded Programming assignments and exams for the course Artificial Intelligence. • Guided students with their queries related to the course, assignments and quizzes etc. ## Education ### Master of Science in Computational Science Northeastern University ### Bachelor of Engineering (B.E.) in Computer Engineering Vivekanand Education Society's Institute Of Technology ### Jr. College in Science inavlid15140285 ## Contact & Social - LinkedIn: https://linkedin.com/in/ruturajnene --- Source: https://flows.cv/ruturaj JSON Resume: https://flows.cv/ruturaj/resume.json Last updated: 2026-03-28