Sravan Kumar — Software Engineer

I’m a full-stack engineer with a strong focus on distributed systems, cloud-native architectures, and observability-driven design. My core strength lies in building resilient, scalable, and cost-optimized systems that power large-scale platforms. I specialize in backend engineering using Java, Spring Boot, and Node.js, and frontend engineering using React, TypeScript, and micro-frontend architectures. I’ve designed and implemented complex workflows leveraging asynchronous and event-driven systems built on AWS primitives like SQS, SNS, Kinesis, Lambda, ECS, DynamoDB, and API Gateway. My recent experience revolves around AI model orchestration, data ingestion frameworks, and system observability — working with services like SageMaker, Bedrock, and QuickSight to enable model distillation, benchmarking, and intelligent data pipelines. I focus heavily on low-latency processing, fault tolerance, metrics aggregation, and adaptive scaling across compute layers. On the frontend, I architect modular UIs using Module Federation, SystemJS, and runtime widget rendering, ensuring isolated deployments and dynamic composition across consoles. I believe in designing for performance at scale — leveraging lazy loading, code splitting, caching strategies, and SSR to optimize TTFB and rendering performance. My development philosophy centers on clean architecture, domain-driven design, and automation-first principles — supported by CI/CD pipelines, container orchestration (Docker, ECS, Kubernetes), and Infrastructure as Code (Terraform, CDK). I continuously explore patterns around feature flags, blue-green deployments, canary rollouts, and log sampling to improve developer velocity and release safety. Also, I love solving platform-level challenges where system scalability, cost efficiency, and developer experience intersect — turning complex, multi-service ecosystems into observable, reliable, and high-throughput systems.

Stackforce AI infers this person is a Full-Stack Engineer specializing in Cloud Computing and AI-driven solutions.

Location: Hyderabad, Telangana, India

Experience: 5 yrs 8 mos

Skills

Aws
Java
Microfrontends
Machine Learning
Node.js
React
Logistics
Data Engineering
System Architecture
Security
User Management
Next.js
Web Development
Ci/cd
Cloud Computing

Career Highlights

Expert in building scalable, cloud-native architectures.
Proficient in both backend and frontend engineering.
Strong focus on observability and system performance.

Work Experience

Atlassian

Software Engineer II (6 mos)

Amazon

Software Development Engineer II (SDE 2) (1 yr 8 mos)

Frontend Engineer I (FEE 1) (1 yr 9 mos)

Rakuten India

Software Engineer 2 (10 mos)

Mindtree

Software Engineer (11 mos)

EPAM Systems

Pre Education Program Trainee (5 mos)

Education

Bachelor of Technology - BTech at Velagapudi Ramakrishna Siddhartha Engineering College

Sravan Kumar

Software Engineer

Hyderabad, Telangana, India5 yrs 8 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in building scalable, cloud-native architectures.
Proficient in both backend and frontend engineering.
Strong focus on observability and system performance.

Stackforce AI infers this person is a Full-Stack Engineer specializing in Cloud Computing and AI-driven solutions.

Contact

Skills

Core Skills

AwsJavaMicrofrontendsMachine LearningNode.jsReactLogisticsData EngineeringSystem ArchitectureSecurityUser ManagementNext.jsWeb DevelopmentCi/cdCloud ComputingHealthcare

Other Skills

AI AgentsAPI GatewayASP.NET MVCAWS BatchAWS CDKAWS GlueAWS LambdaAWS RUMAWS SageMakerAWS Step FunctionsAWS WAFAgile MethodologiesAmazon CloudWatchAmazon ECSAmazon QuickSight

About

Experience

5 yrs 8 mos

Total Experience

1 yr 8 mos

Average Tenure

6 mos

Current Experience

Atlassian

Software Engineer II

Dec 2025 – Present · 6 mos · Remote

Amazon

2 roles

Software Development Engineer II (SDE 2)

Apr 2024 – Dec 2025 · 1 yr 8 mos · Hyderabad, Telangana, India · On-site

Model Benchmarking:
Contributed to Amazon UATU, a benchmarking system to evaluate Bedrock model performance. Automated job execution and generated metrics like OTPS and TTFT, visualized through QuickSight dashboards—highlighted by AWS SVP Peter DeSantis during re:Invent 2024.
Observability Console:
Built the Bedrock Observability Console using embeddable micro frontend widgets. Leveraged Module Mesh and Lotus architecture for scalable, on-demand JavaScript widget rendering across AWS consoles.
Customer Demand Aggregation:
Designed and implemented an auto-approval engine to aggregate and process capacity increase requests based on business rules. Automated On-Demand Capacity Reservation requests to the EC2 team for efficient regional scaling.
Support Tooling UI:
Built an internal UI for support teams to manage model capacity requests, triggering auto-approval workflows via a queue-based asynchronous backend.
Intelligent Log Sampler:
Prototyped an AI agent using Bedrock’s evaluation framework to intelligently sample invocation logs based on adaptive usage heuristics for downstream analysis.

Model BenchmarkingObservability ConsoleCustomer Demand AggregationSupport Tooling UIIntelligent Log SamplerAWS+2

Frontend Engineer I (FEE 1)

Jun 2022 – Mar 2024 · 1 yr 9 mos · Hyderabad, Telangana, India · On-site

Third-Party Carrier Platform:
Led the development of Amazon Carrier Logistics, onboarding 240+ external carrier organizations across 12+ use cases including labelling, forecasting, and case management. Enabled $3M+ in annual savings by automating logistics workflows.
Data Pipeline:
Designed a centralized pipeline using Kinesis and Redshift for ingestion and querying of business metrics, saving 15+ hours/week and improving decision-making accuracy.
Tech Stack: Kinesis, Redshift, Athena, Glue, AWS MAWA, Lambda, S3
Frontend Engineering:
Developed a micro frontend architecture using Module Federation and a dynamic view rendering (DVR) engine for flexible, template-driven UI. Integrated SystemJS-based widget bundling for runtime loading, reducing bundle sizes.
System Architecture & Performance:
Re-architected carrier connectivity using async S3 payload exchange and migrated authentication to mutual TLS, reducing latency by 200ms. Engineered a CDK-based reverse proxy layer to increase throughput by 20%.
Report Orchestration:
Built a scalable multipart upload system integrated with a workflow engine for large report generation, improving ingestion efficiency and reducing manual effort.
Security & Monitoring:
Integrated AWS WAF and custom lint rules to detect XSS and inline script vulnerabilities. Set up AWS RUM for real-user monitoring and service-level tracking.
User Management System:
Designed a GraphQL-based service for invitation flows, access control, and user lifecycle management using Node.js and AWS Lambda.

Third-Party Carrier PlatformData PipelineFrontend EngineeringSystem Architecture & PerformanceReport OrchestrationSecurity & Monitoring+4

Rakuten india

Software Engineer 2

Aug 2021 – Jun 2022 · 10 mos · Bengaluru, Karnataka, India

Built and launched the Rakuten NFT platform (https://nft.rakuten.co.jp) from scratch; contributed to its first public release in Feb 2022.
Enabled server-side rendering (SSR), authentication, pricing charts, and real-time updates using WebSockets.
Published an internal React component library and implemented design tokens to automate NFT IP onboarding, reducing manual effort by 3+ days per IP.
Integrated Payvalut.js for secure payments and Rakuten Analytics Tool (RAT) for tracking user journeys and improving funnel conversions.
Built a CI/CD pipeline on Rakuten Cloud using Docker and GitHub Actions, supporting isolated dev and prod environments.
Developed core pages including Home, Marketplace, Cart, Checkout, and Transaction History using Next.js and Tailwind CSS.
Focused on performance, SEO, accessibility, i18n, responsive design, and Core Web Vitals.
Mentored interns and participated in multiple hiring interviews for the frontend team.
Tech Stack: Next.js, React, Tailwind CSS, Redux, React Query, Docker, GitHub Actions, Rakuten Cloud, SSR, WebSockets, Storybook, Jest, Rollup, i18n

Rakuten NFT platformServer-side renderingInternal React component libraryCI/CD pipelineCore pages developmentReact+1

Mindtree

Software Engineer

Sep 2020 – Aug 2021 · 11 mos · Bengaluru, Karnataka, India

Designed and implemented a Health record service in Node.js, seamlessly integrated with
MongoDB and S3 for efficient file storage.
Developed an internal employee portal for GE Healthcare client utilizing React, implementing Micro Apps architecture using Turbopack monorepos

Health record serviceInternal employee portalNode.jsReact