Jay B.

About Me

Jay is a Senior Engineer with back end, DevOps and cloud experience. Jay is a Google Certified Professional Data Engineer specializing in using AWS technologies to build and deploy solutions for clients. Using Python, Java and PHP Jay has developed beautiful clean code to build functional back ends for a variety of different products. In his past role as a Lead Cloud Architect for Haiku, he designed and implemented a gameplay solution in Kubernetes and manages pipelines to create cybersecurity games on demand. Jay has also led an Agile team to develop a robust SaaS product using serverless technologies and set up GitLab pipelines to automatically build and run tests. Leveraging his expertise in engineering caching technologies, he has simplified and maintained a large-scale data-intensive application for powering 300+ million internet ads daily for an advertising technology company, containerizing several applications for better scalability.

Backend

Database

DevOps

DevOps Engineer AWS CI/CD Docker Jenkins Terraform

Workflow

Other

Work history

UpStack
UpStack
DevOps Engineer
2024 - 2025 (1 year)
Remote
  • Led successful Disaster Recovery (DR) production release, deploying 120+ applications and managing 100+ cloud infrastructure services including AWS S3, Lambda, Glue ETL, Kinesis, SageMaker, SQS, SNS, SES, and EFS.

  • Maintained RTO/RPO targets while orchestrating complex DR strategies across 7 database instances with active data replication and write forwarding.

  • Designed and implemented automated failover simulations, Cloudflare failover, and Route 53 ARC traffic spike handling to ensure high availability.

AWSAWS DevOps Business Continuity & Disaster Recovery (BCDR) CloudFlareJenkinsJenkins Pipeline
Haiku Inc
Haiku Inc
Lead Cloud Architect | Back-end Engineer
2023 - Present (2 years)
Remote
  • Designing and implementing a game play solution in Kubernetes (AWS EKS), reducing game load time by 80%, from ~27 seconds to around 5 seconds.

  • Leading the creation and implementation of a dynamic lab environment for university students, designed to simulate a vulnerable small business network hosted on AWS, offering features such as on-demand creation, destruction, and secure access via VPN.

  • Creating and managing pipelines using AWS CodeBuild and CodePipeline for building and deploying cybersecurity games on demand.

  • Setting up auto scaling in Kubernetes with Karpenter to reduce costs and support high gameplay volume.

QAD
QAD
Principal Software Engineer
2022 - Present (3 years)
Remote
  • Leading an Agile team to develop a robust SaaS product using serverless technologies including DB design, AWS architecture design and implementation with Terraform, and low-level design in Java.

  • Setting up GitLab pipelines to automatically build and run tests on latest commits.

  • Developed a project to provide on-demand lab environments in AWS for replicating customer environments for better support using Terraform, Ansible, and GitLab pipelines to support this.

  • Leveraging Kubernetes to support on-demand and autoscaling GitLab runners to reduce costs.

  • Migrating legacy software systems to a scalable SaaS architecture using AWS.

Media.net
Media.net
Senior Software Engineer
2020 - 2022 (2 years)
Remote
  • Engineered caching technologies (MySQL, Redis, Caffeine Cache, Varnish, Akamai) for impressive QPS of 15,000 and a 99th percentile response time under 10ms.

  • Simplified and maintained a large-scale data-intensive application for powering 300+ million internet ads daily and administered server-side header bidding platforms, providing Media.net with a competitive market edge and maximizing revenue for 21,000+ publishers.

  • Used Kubernetes and created Jenkins pipelines to automate builds and containerize applications, resulting in a more streamlined development and deployment process and annual savings of $50,000.

  • Streamlined product usability and customer support by implementing technical documentation strategies such as Swagger integration and Docusaurus setup, resulting in a 60% reduction in developer support tickets.

  • Promoted the adoption of Agile Methodologies in the team, enhancing collaboration, speed, and quality in project delivery.

  • Created secure APIs across tech stacks including PHP, Java Spring Boot, Python, and Node.js, adhering to industry best practices and security standards.

Tata Consultancy Services
Tata Consultancy Services
Big Data Research Engineer
2018 - 2020 (2 years)
Mumbai, India
  • Orchestrated a real-time, large-scale security analysis platform using open-source Big Data tools and analytical expertise, reporting directly to the Global Head of the Cyber Security Unit.

  • Designed real-time dashboards to provide clear visual representations of the organization’s resource health.

  • Developed a robust threat intelligence platform using Apache Metron, Kafka, Storm, and Elasticsearch, reducing false positives by 40%.

Big DataData Research Apache Kafka Apache StormElasticsearch Analytical Dashboards Data VisualizationCyberSecurity

Education

Google Cloud Certified Professional Data Engineer (Expired Aug 2021)
Google Cloud Certified Professional Data Engineer (Expired Aug 2021)
Google
2019 - 2019
BE Information Technology
BE Information Technology
L.D. College of Engineering - Ahmedabad, India
2014 - 2018 (4 years)