Have you ever waited for a page to load and thought… “Why is this taking so long?” At DoorDash, we faced this exact challenge — slow page load times for frequently accessed data. As an engineer, I knew small improvements in performance could make a big difference to the customer experience. Here’s what we did: 🔹 Leveraged React’s caching mechanisms to avoid redundant API calls 🔹 Optimized our Java backend APIs for faster response times 🔹 Set up monitoring with Postman + AWS CloudWatch to track performance The outcome? We reduced average page load times by 25%. Users noticed the difference immediately, and our support tickets related to "slow pages" dropped significantly. This experience reminded me of something important: Sometimes, it’s not about massive rewrites or new architectures. Even small, thoughtful optimizations can create a huge impact on performance and customer satisfaction. Curious to hear from other engineers: What’s the smallest change you’ve made that had the biggest impact? #SoftwareEngineering #ReactJS #Java #AWS #PerformanceOptimization #LearningByDoing #Java #ReactJS #Angular #SpringBoot #NodeJS #Python #Cplusplus #DotNet #Golang #GraphQL #Microservices #RESTAPI #FrontendDevelopment #BackendDevelopment #FullStackDeveloper #SoftwareEngineer #ProgrammerLife #CleanCode #CodeQuality #AWS #AmazonWebServices #CloudComputing #CloudEngineer #CloudArchitecture #Azure #GoogleCloud #Serverless #Lambda #EC2 #DevOps #CICD #Docker #Kubernetes #Jenkins #CloudNative #InfrastructureAsCode #Monitoring #SiteReliabilityEngineering #PerformanceEngineering #SQL #PostgreSQL #MySQL #MongoDB #DatabaseDesign #BigData #DataEngineering #MachineLearning #AI #ArtificialIntelligence #DeepLearning #TensorFlow #PyTorch #DataScience #PredictiveAnalytics #NLP #ComputerVision #AutomationTesting #JUnit #SDET #TechJobs #NowHiring #Recruitment #JobSearch #OpenToWork #CareerGrowth #TechTalent #EngineeringJobs #SoftwareJobs #ITJobs #RemoteJobs #WorkFromAnywhere #TechRecruiter #HiringDevelopers #RecruiterConnect #ResumeTips #LinkedInTips #CareerOpportunities #Agile #Scrum #Teamwork #Collaboration #ProblemSolving #Leadership #Mentorship #TechCommunity #WomenInTech #LearningEveryday #ContinuousLearning #Upskilling #Innovation #DigitalTransformation #FutureOfWork #EngineeringExcellence #TechnologyTrends
How small optimizations can boost performance: My experience with DoorDash
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#MyJourneytobecomingaCloudEngineer Hey LinkedIn Family ✨ As promised, I will be sharing my learning journey with you all, and I'm open to mentorship, guidance, corrections, opportunities, and connections. 🎯 Today, I will be sharing about Three-tier Architecture. Three-tier architecture is a software design pattern separating an application into three logical and often physical tiers. ✅ Frontend: This is the user interface layer, directly interacting with the end-user. It is responsible for displaying information and capturing user input. Sends user requests to the backend and displays the responses received. ✅ Backend: It is responsible for processing business logic, handling application functionality, and acting as an intermediary between the Frontend and the Database. It receives requests from the Frontend, performs necessary computations and validations, interacts with the Database to store or retrieve data, and sends responses back to the Frontend. ✅ Database: It is responsible for storing, managing, and retrieving application data. It responds to data requests from the backend, performing operations like fetching, updating, inserting, or deleting data. It does not directly interact with the Frontend. ✨ Have you ever imagined you're developing a web app that has three main components: ✔️Frontend - React (Library of JavaScript) ✔️Backend - Python API and framework (FASTAPI) ✔️Database - PostgreSQL If you wanted to work on this project, you'd have to install Node, Python, and PostgreSQL. How do you make sure you have the same versions as the other developers on your team? Or your CI/CD system? Or what's used in production? How do you ensure the version of Python (or Node or the database) your app needs isn't affected by what's already on your machine? How do you manage potential conflicts? How do you solve the demerits of physical hardware and virtualization? 🎉 You guessed it right, with containers you can do this to save cost and reduced time. Containers are isolated processes for each of your app's components. Each component- the frontend React app, the Python API engine, and the database - runs in its own isolated environment, completely isolated from everything else on your machine. 💡As a DevOps, your priority should always involve finding a way to do more and work less, a way to reduce time and save cost while building and deploying your website. A way to always optimize your workflow and work smart. #Amazon #TechCommunity #HRTech #TechInnovation #CloudSolutions #BusinessGrowth #EcommerceSolutions #EnterpriseSolutions #viral #share #ScalableSolutions #TechOffers #InnovateAndGrow #CloudEnthusiasts #TechOpportunities #Cloud #CEO #CloudEngineer #ITskills #DigitalTramsformation #CTO #WomenInEngineering #WomenInTech #OpenToWork #AWSGlobal
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💡 SDE vs Data Engineer — What’s the Real Difference (and Pay Gap)? Both roles write code and solve technical problems — but they do it in different universes. 👇 🔹 Software Development Engineer (SDE) • Builds applications, APIs, and scalable systems • Focus on system design, algorithms, and performance • Common stack: Java, C++, Python, Node.js • Metrics: scalability, latency, and reliability 💰 Average salary: ₹12–30 LPA (mid-level), depending on company & stack 🔹 Data Engineer (DE) • Builds data pipelines, warehouses, and processing systems • Focus on ETL, orchestration, and analytics enablement • Common stack: SQL, Python, Spark, Snowflake, Airflow, Databricks • Cloud skills (AWS, Azure, GCP) are highly valued — most modern pipelines run on the cloud ☁️ • Metrics: data accuracy, latency, and system reliability 💰 Average salary: ₹12–32 LPA (mid-level), often comparable or higher with cloud & big data expertise ✨ Key takeaway: SDEs build the product. Data Engineers build the data that powers the product. Both paths are future-proof — but if you love data + cloud + scalability, Data Engineering is your sweet spot. 🚀 #DataEngineering #CloudComputing #SoftwareDevelopment #BigData #DataPipelines #SQL #Python #Spark #Snowflake #AWS #Azure #GCP #TechCareers
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#60DaysOfJava 📚 Day 7 Literals In this post, I’ve explained Literals and code implementations the simplest possible way, so even if you’re a beginner, senior you’ll get a clear understanding of each. 📄 Check out the slide fully below to learn quickly and effectively ♻️Repost so others can learn and grow together. 🔔 Follow Hariprasath V for daily Java, DSA, and System Design,Springboot,Microservices,Devops,resources 📅 Click below hashtag to see every post from the 60 Days of Java series Day 1 to now 👇👇👇👇👇👇👇👇👇👇👇 #60DaysOfJavaWithHariprasathv6 💭 After reading, share your thoughts in the comments. ================================================ #DSAChallenge #60DaysOfDSA #ProblemSolving #CodingJourney #Consistency #LearnByDoing #DataStructures #Algorithms #InterviewPrep #KeepCoding #Productivity #Focus #DreamBig #Consistency #Java #SystemDesign #DataStructures #Algorithms #JavaDeveloper #DSA #CodingInterview #TechInterview #SystemDesignInterview #BackendDevelopment #SoftwareEngineering #JavaInterview #LeetCode #InterviewPrep #DataStructureAndAlgorithms #DesignPatterns #LowLevelDesign #Multithreading #SOLIDPrinciples #RESTAPI #BackendEngineer #CodeInterview #interviewtips #interviewexperience #amazon #microsoft #JobAlert #SoftwareJobs #amazon #google #microsoft #identifier #datatypes #SoftwareJobs #100DaysOfDSA #JDK #JRE #JVM #100DaysOfDSA #60DaysOfDSA #AI #Algorithms #amazon #Angular #APIs #ApplyNow #BackendDevelopment #BackendEngineer #BenchSales #CareerGrowth #CodeInterview #CodingInterview #CodingJourney #Cloud #CloudNative #CompetitiveProgramming #Consistency #ContractJobs #ContractToHire #CoreJava #CorpToCorp #CorpToCorpOpportunities #C2CContract #C2CConsultants #C2CITJobs #C2CJobs #C2COpportunities #C2CRequirements #CSS #DataStructureAndAlgorithms #DataStructures #DesignPatterns #DevJourney #DreamBig #DreamJob #DSA #DSAChallenge #EngineeringJobs #Focus #FreshersJob #FromInternToFullTime #FunctionalInterface #google #GraduateJobs #Gratitude #HardWorkPaysOff #HiringC2C #HiringNow #HTML #Internship #InternshipExperience #InternshipJourney #InterviewPrep #interviewexperience #interviewtips #ITConsulting #ITJobs #ITRecruitment #Java #Java8 #Java17 #JavaDeveloper #JDK #JRE #JVM #JIT #JobAlert #JobOpening #JobSearch #JobSeekers #JobVacancy #KeepCoding #LambdaExpressions #LearnByDoing #LeetCode #LowLevelDesign #MachineLearning #microsoft #Microsoft #MicrosoftLife #Microservices #Motivation #Multithreading #NowHiring #Opportunities #PaymentIntegration #PPO #ProblemSolving #Productivity #ProfessionalJourney #ReactJS #ReferralHiring #RemoteC2CJobs #RESTAPI #SoftwareArchitecture #SoftwareEngineering #SoftwareJobs #SOLIDPrinciples #SpringBoot #SpringFramework #SuccessStory #SystemDesign #SystemDesignInterview #TechCareers #TechConsulting #TechInterview #TechJobs #USITRecruitment #USJobs #WebDevelopment
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Myself - Being a Java full stack developer, I’ve realized that being full stack isn’t just about writing frontend and backend code , it’s about owning the entire journey of design, APIs, data, DevOps, and cloud. Companies value engineers who can think e2e, build scalable systems, and turn ideas into real impact. Understanding data deeply SQL, NoSQL, caching, and streaming (Kafka, Redis..) Integrate AI/ML and automation where it makes sense , because even traditional apps now rely on smarter backends and analytics. We’re not just developers anymore , we’re problem solvers who connect technology and business together. #FullStackDevelopment #SoftwareEngineering #Java #SpringBoot #React #Cloud #Microservices #CareerGrowth #AIEngineering
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🚀 𝐑𝐨𝐚𝐝𝐦𝐚𝐩 𝐭𝐨 𝐚 𝐂𝐚𝐫𝐞𝐞𝐫 𝐚𝐬 𝐚 𝐁𝐚𝐜𝐤𝐞𝐧𝐝 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐞𝐫 I have spent many years building highly scalable systems as a Backend Developer. If you want a solid and rewarding tech career, backend is one of the best paths. It powers everything behind the scenes: performance, security, databases, and business logic. Here is a simple and realistic roadmap to get you there: ✅ Step 1: Master a Backend Language Choose one and go deep: Java, C#, Python, Go, or Node.js. While working with clients, I have seen how these languages dominate backend roles. ✅ Step 2: Learn APIs and Web Frameworks REST, JSON, authentication, middleware. Examples: Spring Boot, ASP.NET Core, FastAPI, Express.js. ✅ Step 3: Databases + SQL Backend runs on data. Understand: SQL: PostgreSQL, MySQL NoSQL: MongoDB, DynamoDB ✅ Step 4: Learn Cloud Services AWS, Azure, or Google Cloud. Modern systems are serverless, containerized, and distributed. I have used these cloud platforms for real enterprise workloads. ✅ Step 5: Version Control + CI/CD Git, GitHub/GitLab. Automation will make you a standout engineer. ✅ Step 6: Containers + Orchestration Docker, Kubernetes. This is how apps run in production today. ✅ Step 7: Security + Performance Backend developers keep systems safe, fast, and reliable. ✅ Step 8: Build Projects and Show Your Work E-commerce APIs, authentication systems, event driven microservices… Your portfolio becomes your best resume. Find attached a PDF with more details #AWS #Azure #GoogleCloud #CloudCertifications #CloudCertificationStore #BackendDeveloper #SoftwareEngineering #CareerRoadmap #Cloud #Java #CSharp #Python #GoLang #NodeJS #DevOps #GitLab #Databases #SQL #MongoDB #APIs #Microservices #Docker #Kubernetes #Serverless #CICD #REST #GraphQL #DistributedSystems #Security #Performance #TechCareers #LearnToCode #Programmers #SoftwareDevelopment #ITJobs #Engineering #Innovation #StayCurious #KeepLearning #Leadership #DeveloperJourney #Motivation #Roadmap #FutureOfWork
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🚀 Just shipped a distributed microservices application that converts videos to MP3s! I recently built a scalable microservice architecture using Python Flask, designed to handle video-to-audio conversion with smooth coordination between multiple services. 🎯 Here’s how it works: A user uploads a video → Auth Service verifies identity → Video is queued in RabbitMQ → Converter Service processes it to MP3 → Notification Service emails the download link — all orchestrated seamlessly on Kubernetes. ⭐️Key Highlights: 🔐 JWT-based authentication with secure signup/login 📨 Asynchronous processing via RabbitMQ message queues ☁️ Kubernetes orchestration across 5 containerized services 🧩 Dual database setup: MySQL for auth, MongoDB for media storage 📬 Automated email notifications upon successful conversion 💡 Implemented Saga pattern and robust error handling for distributed transaction consistency ⚙️ One of the difficulties I was facing while developing was a race condition where upload requests failed with 500 errors for the first time after minikube tunnel startup due to RabbitMQ not being ready. To fix it, I implemented retry logic with exponential backoff and graceful error handling, eliminating user-facing errors and ensuring reliable service coordination. 💻 Tech Stack: Python (Flask) | Docker | Kubernetes (Minikube) | RabbitMQ | MongoDB | MySQL Here's the GitHub Repo: https://lnkd.in/dsatxAai 🎥Check out the demo video below! 👇 🌟Hi! I'm Tejas Tawde, and I’m currently seeking Spring 2026 Software Engineering Co-op opportunities. Excited to bring my passion for backend systems, distributed architecture, and scalable cloud solutions to real-world projects. #SoftwareEngineering #Microservices #Python #Flask #Docker #Kubernetes #CloudNative #RabbitMQ #MongoDB #MySQL #BackendDevelopment #DistributedSystems #SystemDesign #DevOps #OpenToWork #Spring2026Coop #Spring2026Internship
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🛠️ Backend Engineers: Your 17-Week Growth Blueprint! a-z backend roadmap : https://lnkd.in/dgirSN6j So many of you DMed me after my last post saying — "Bro, I’m a fresher… can I follow your backend roadmap?" And honestly… my answer is ❌ No. The current roadmap is designed for **SDE1 → SDE2** level engineers. But here’s the good news 👇 💥 I’m now creating a separate roadmap just for **freshers** — step-by-step, week-by-week. Because your journey starts differently, and you deserve your own plan. ✨ Stay tuned — it’s dropping soon! If you haven’t bookmarked the current roadmap yet — do it right now 🔖 This doc covers everything from Java → DSA → SQL → Spring Boot → Microservices → System Design. --- 🗓️ Quick Peek: Backend Roadmap (SDE1 → SDE2) Week 1: • Revise Java fundamentals • DSA – 2 Qs/day • SQL basics (SELECT, JOIN, GROUP BY) • OS – processes, threads, memory Week 2: • Networking basics – HTTP, TCP/IP, DNS • DSA – 2 Qs/day • SQL advanced (indexing, transactions) • DB internals – storage, indexes Week 3: • Networking (latency, caching, load balancers) • DSA – 2 Qs/day • DB internals – ACID, optimization • Spring Boot project – build an e-commerce backend Week 4-5: • DSA – 2 Qs/day • Microservices – architecture, APIs, communication • Docker – concepts + hands-on • AWS CI/CD – pipelines, deployments Week 6-8: • DSA – 2 Qs/day • LLD – SOLID, UML, patterns (Singleton, Factory, Observer) • Concurrency – threads, locks, sync • Machine coding practice Week 9-11: • LLD – 1 Q/day • Distributed Systems – CAP, sharding, replication • DSA – 2 Qs/day Week 12-14: • System Design – scaling, caching, load balancing • On-call basics – monitoring, observability • Backend projects/codebase deep dive • DSA – 2 Qs/day Week 15-17: • System Design – large-scale systems • DSA – 2 Qs/day • Consolidate learnings – LLD, microservices, concurrency --- 📘 This roadmap = your step-by-step guide to level up as a Backend Engineer. From SDE1→ confident SDE2 💪 Freshers, your roadmap is coming next 👀 #CareerTransition #Discipline #TechCareers #BackendDevelopment #MorningRoutine #dsa #lld #prep #sde #BackendEngineering #CareerSwitch #SystemDesign #SDE2Prep #TechGrowth #SDE1 #problemSolving
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LEARN....UNDERSTAND......CODE....🔁👍 Backend development is the engine that powers every modern application -> from handling user data to managing cloud infrastructure and APIs that connect everything together. A complete overview of what a backend developer should focus on in 2025:- -->Core Languages: Start with Python (Flask/Django), Node.js (Express/NestJS), Go, or Java (Spring Boot). These are the main building blocks for APIs and backend services. -->Data & Messaging: Understand how to store and move data efficiently using databases like PostgreSQL, MySQL, MongoDB, and tools like Redis, Kafka, or RabbitMQ. -->Architecture & Cloud: Learn how modern apps are deployed — using Docker, Kubernetes, CI/CD pipelines, and cloud providers like AWS, Azure, and GCP. -->AI & Tooling: Use AI tools to boost productivity, explore LLM integrations, build REST APIs, and monitor systems with Prometheus and Grafana. Why Backend Developer is matters nowadays:- Backend skills are in huge demand today. With cloud-native systems, real-time apps, and AI-driven products growing fast, developers who understand backend fundamentals stand out in every team.. #BackendDeveloper #BackendDevelopment #DeveloperRoadmap #Roadmap2025 #SoftwareDevelopment #SoftwareEngineering #FullStackDeveloper #WebDevelopment #PythonDeveloper #NodeJSDeveloper #JavaDeveloper #GoLang #APIDevelopment #CloudComputing #AWS #DevOps #AIinTech #ProgrammingCommunity #TechCareer #LearnToCode
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