# Nishank Soni > Staff Engineer | Enterprise Data Protection & Distributed Storage | Cloud & Kubernetes | E-commerce & AdTech Infrastructure Location: San Francisco, California, United States Profile: https://flows.cv/nishanksoni Senior software engineer with 8+ years of hands-on experience in designing, building, and operating large-scale distributed systems across enterprise data protection, cloud infrastructure, e-commerce logistics, and adtech platforms. I specialize in architectural decision-making, platform evaluation, and scalability tradeoffs for high-throughput, security-sensitive systems. My experience includes enterprise backup and recovery platforms (Cohesity, Rubrik, Veritas), ransomware resilience, distributed storage systems, Kubernetes-based microservices, and cloud-native architectures on AWS. I am open to paid expert consulting engagements in the following areas: - Enterprise Data Management & Security (Backup, Ransomware Recovery, Cyber Vaulting; Cohesity vs Rubrik vs Veritas) - E-commerce Logistics & Supply Chain Scalability (Inventory, SLA enforcement, peak-sale traffic) - AdTech Infrastructure & RTB Systems (High-throughput, low-latency platforms) - Cloud Migration & Cost Optimization (AWS, Kubernetes; architecture and tooling tradeoffs) - Infrastructure as Code & Automation (Terraform, Ansible, Linux-based systems) Technical Background (selected): - Programming: Golang, Java, Python, Node.js, Bash - Distributed Systems & Microservices: REST, RPC, SAGA, multi-threaded systems - Containers & Compute: Kubernetes, Docker - Data & Storage: HDFS, Cassandra, Elasticsearch, PostgreSQL, Redis, DynamoDB, MongoDB - Streaming & Batch: Kafka Streams, Spark Streaming - Cloud & Observability: AWS (EC2, ECS, S3, Lambda, EMR, Redshift), Prometheus, Grafana, ELK - Automation & CI/CD: Terraform, Ansible, Jenkins, Maven - Linux & Unix systems programming Available for expert interviews, advisory calls, and architecture discussions. Feel free to reach out at soninishank8@gmail.com. ## Work Experience ### Staff Engineer @ Cohesity Jan 2022 – Present - Led the design and development of core infrastructure services integral to Cohesity's distributed file storage system. - Engineered comprehensive logging and traceability solutions for interactive SSH and console sessions, ensuring audit and syslog integration with enhanced source identification, resulting in a 30% increase in security compliance. - Engineered a resilient patch management system to address and mitigate SSH and SCP issues, deploying solutions across distributed systems using Ansible and state machine methodologies reducing patch-related incidents by 40%. - Deep understanding of the Enterprise Data Management landscape, specifically comparing Cohesity vs. Rubrik vs. Veritas vs. Dell PowerProtect. Available to discuss technical differentiators in data resiliency and cyber-vaulting. - Specialized in Security Posture and Cyber-Resiliency. Deep knowledge of how enterprise organizations are migrating from legacy backup to AI-driven, secure data management to combat Ransomware. ### Senior Software Engineer @ AJIO.com Jan 2019 – Jan 2021 | Bengaluru Area, India Worked as part of AJIO’s Supply Chain Engineering team, developing scalable backend systems to support logistics, inventory, and order serviceability for a high-growth fashion e-commerce platform. - Designed and implemented supply chain microservices using Java and Spring Boot to power key functionalities like product serviceability checks, inventory availability, and warehouse dispatch logic. - Developed a multi-file asynchronous upload system to ingest serviceability data (e.g., pin codes, warehouse mappings, delivery SLAs) from UI to backend, ensuring real-time accuracy across fulfillment flows. - Investigated and resolved platform issues related to inventory sync failures, logistics delays, and SKU availability, improving system reliability and reducing order errors. - Achieved 45,000 TPS throughput by tuning thread pools, batch sizes, and optimizing Redis for high-speed data retrieval and real-time caching. - Collaborated with infrastructure and SRE teams to improve system resilience, reduce processing latencies, and scale backend components for festive-season traffic spikes. - Partnered with product managers and ops teams to launch logistics and warehouse tooling that improved delivery SLA compliance and enhanced last-mile visibility. - Engineered backend systems for India's largest fashion e-commerce platform. Expert in scaling supply chain systems to handle 10x spikes (Peak Sale Events) and comparing logistics tech stacks in the Indian market. - Experienced in evaluating and implementing AWS vs. Azure, Snowflake, Datadog, and Kubernetes orchestration for enterprise-scale deployments Tech Stack: Java, Spring Boot, Redis, Apache Kafka, MySQL, AWS (EC2, S3, Lambda), Node.js, API Development, Microservices, Distributed Systems, Elasticsearch, Stream Processing ### Software Engineer @ InMobi Jan 2017 – Jan 2019 | Bengaluru, Karnataka, India - Designed and maintained scalable, low-latency ad delivery systems, handling high-throughput programmatic ad traffic across mobile devices and SDKs. - Optimized backend infrastructure to improve video ad rendering latency and increase efficiency of high-bandwidth RPC calls, critical for real-time bidding (RTB) and auction dynamics. - Implemented cloud-native architecture using microservices, object-oriented design, and fault-tolerant patterns to support demand-side platform (DSP) operations and scale to billions of ad requests daily. - Developed RESTful APIs that supported advertiser campaign management, creative delivery, and event tracking, achieving an 80% adoption rate across teams and partner platforms. - Integrated automation testing using HP ALM, improving QA coverage and reducing production bugs by 11% month over month, ensuring ad revenue streams remained stable during frequent deployments. - Collaborated with product and monetization teams to launch features that improved fill rate, click-through rate (CTR), and eCPM, aligning engineering deliverables with business KPIs. - Tuned caching layers (Memcached), service discovery, and deployment pipelines for peak performance in high-concurrency ad auction environments. Tech Stack: Python, Flask, Cassandra (NoSQL), Nginx, Memcached, Jenkins, Git, AWS Lambda, Terraform, GraphQL, Selenium Relevant Skills: Programmatic Advertising, Real-Time Bidding (RTB), Ad Serving, DSP/SSP, Microservices, Kafka, Kubernetes, Redis, Elasticsearch, Load Testing, A/B Testing, Monitoring & Alerting, Campaign Optimization, CTR, eCPM, Fill Rate ## Education ### Master's degree in Computer Science Santa Clara University ## Contact & Social - LinkedIn: https://linkedin.com/in/soninishank - GitHub: https://github.com/soninishank - Portfolio: https://leetcode.com/itszlatan9/ --- Source: https://flows.cv/nishanksoni JSON Resume: https://flows.cv/nishanksoni/resume.json Last updated: 2026-04-12