Backend engineers are responsible for building, managing, and maintaining the server-side logic and infrastructure of front end applications, analytics backends, microservices based headless service layers for applications, authentication and identity management etc. They work with databases, programming languages, backend frameworks, cloud (AWS) / cloud native technologies to create highly scalable, reliable, and secure systems.
According to a report by the National Association of Software and Service Companies (NASSCOM), the Indian IT industry is expected to grow at a compound annual growth rate (CAGR) of 11.8% between 2021 and 2025. This growth is expected to be driven by increasing demand for IT services from global companies, as well as the growth of the Indian e-commerce and fintech sectors.
The NASSCOM report also states that the demand for backend engineers is expected to grow at a faster pace than the overall IT industry. This is because backend engineers play a critical role in developing and maintaining the backend systems that power digital businesses.
Here are some of the key career highlights of being a backend engineer:
Here are some prospective statistics for backend engineers:
Overall, backend engineering is a rewarding and in-demand career with strong job growth potential and high salaries. If you are interested in a career in technology, has have an excellent computational problem solving and analytical thinking mindset with a flair for data, then backend engineering is a great option to consider.
You can check out various bootcamps and crash courses depending on your skills and experience to get into the Backend End Engineering Career. Alternatively, Feel free to request for a free career counselling
Engineers who solely write Microservices based architectures for any industry. Take booking.com for e.g. and imagine a single booking of a Hotel with guests + Taxi and Flight to be co-ordinated for you. Microservices backends engineers build highly scalable , massively deployable and maintenance backends with the speed and agility for the software to quickly evolve
Think about collecting all data points of vehicles passing through a busy motorway to generate insights in real-time and process data as batches. An Analytics B.E Engineer will have to be working on something like this with building pipelines for storing data, processing data in batches and in real-time and generating API layers for a cool F.E Application to consume
Media Backends, FinTech Backends, Payment Backends, B2B Backends, Logistic Backends etc. where the primary principles of Backend engineering of wrangling data, working with multiple types of databases, identity and authentication, security etc are going to be mostly common, However you will build upon industry specific skills like Media, FinTech etc.
Work with Data, Databases, Identity and Authorization, Sql, NoSQL, Graph, TimeSeries databases, security, Microservices Architectures and Deployment Architectures utilizing CloudNative or Open Source Technologies
Use AWS Cloud for building massively scalable distributed systems involving elastic computing, elastic caches, containers and orchestration, network layer monitoring, Serverless infrastructure, Design patterns, AWS Well Architected, databases (Sql, NoSql, Graph, Cache) etc
Feel free to contact us if you have any questions on Backend Engineering. We will be glad to give you a free career advise.
You’ll need to build your computational thinking skills, including knowledge of the tools that Backend engineers typically use. You’ll learn programming with Javascript, C++ to get the hang of the computational thinking.
NoSQL, New SQL, SQL, Graphs, Databases for AI/ML, Caches , Key Value Stores, Data Lakes and Warehouses
Advanced Data Wrangling Techniques, Advanced Data Design Techniques,No SQL Databases, Key/Value Stores, RDBMS, SQL, Cache and In-Memory Stores, AWS Cloud, Compute Types - VPS, Auto Scale Groups, Serverless, Containers and advanced Data Processing using Batches and Streams
Distributed Design Patterns, Architecture Patterns, Well Architectured Framework (AWS), Serverless, Container Orchestration, Service Meshes, Microservices, Authentication Patterns, Security, Vulnerability and Penetration Tests, Static Analysis, Security Engineering, Cryptography and others
Serverless, Docker, Kubernetes and many many others on AWS (Huuuuuuuuuge set of tools and techniques are taught)
This is where you will put it all together with sample projects to chose from and learn the art of building a production ready Backend Application. You can choose your sample projects from the below
* Analytics Application Backend with ETL, Data Pipeline, Post Processing and Dashboard
* Microservices for an OTT Application
* IOT Backend for an Electric Vehicle Cluster
* Microservices Backend for a Super App
Please reach us at go@thegoacademy.com if you cannot find an answer to your question.
Solid Computational Thinking Skills, Very Good Problem Solving Skills, Good Learning Skills (for e.g. Some of AWS Technologies changes as rapidly as every 6 months ), Exposure to Distributed Patterns and Practises, Exposure to a wide variety of databases, data skills and a whole lot of reading :-). We can help you with all of that. The only thing that you need is a passion for solving complex computing problems
Go Academy's bootcamp courses train you in 4 months. This is not for the faint hearted and is very rigorous and fast paced with a whole lot of learn by doing it yourself embedded into the course. You will need to put in 4-8 hours of learning every day for about 4 months to get to a competent level
Yes, You will get a chance to work on some cutting edge tech at Go Labs. This is part of the Bootcamp.
Yes. You will be evaluated during the entire course of your Bootcamp and your performance in the internship. Go Academy will work with our partners to get you into the Industry
Feel free to get in touch. Hit the Contact Us button and send us your query. We will love to talk to you and provide you free career counselling and advise
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