N #2945

Applications open Full-Time Job

Senior Software Engineer

Intrics Solutions

Hyderabad, India
20-35 Lacs PA
8-13 Yrs
Posted Today

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About the role

Job Description

Full-Stack Software Engineer React, AWS and Geospatial Data About the role We are seeking a Full-Stack Software Engineer to build and maintain a web application for exploring water and watershed data. The application has a React and TypeScript frontend, a backend service hosted on AWS App Runner, and AWS Lambda functions that retrieve updated information from the RIBITS data source on an overnight schedule. The frontend is hosted on AWS Amplify and uses Mapbox to present HUC map data.

The backend has been built with Django, though a move to Ruby on Rails may be underway. The ideal candidate has solid experience with at least one of these frameworks and can contribute effectively as the project’s direction is finalized. Responsibilities Develop and maintain backend services and APIs using Ruby on Rails.

Build and enhance user-facing features using React and TypeScript. Connect frontend workflows to backend APIs and external data sources. Develop and support AWS Lambda functions that retrieve and process the latest RIBITS data overnight.

Improve the reliability of scheduled jobs through appropriate logging, retries, validation, and failure handling. Deploy and operate the backend through AWS App Runner and the frontend through AWS Amplify. Integrate Mapbox with HUC data to support interactive geographic visualization.

Write and maintain automated tests, participate in code reviews, and troubleshoot issues across the application. Collaborate with the team on technical decisions, including any backend framework migration. Required qualifications Professional experience building web applications with Ruby on Rails .

Strong experience with React and TypeScript . Experience building and consuming web APIs. Working experience with AWS Lambda and scheduled or batch processing.

Familiarity with deploying or operating applications using AWS App Runner and AWS Amplify , or closely related AWS services. Experience integrating third-party data sources and handling data validation and transformation. Experience with Mapbox or another web mapping platform.

Clear communication and the ability to work with an existing application and codebase. Preferred qualifications Experience with both Django and Ruby on Rails, or experience supporting a framework migration. Experience with watershed, HUC, environmental, or other geospatial data.

Familiarity with GeoJSON and common mapping data concepts. Experience with CloudWatch, EventBridge, IAM, S3, or other AWS services that support application hosting and data pipelines. Experience monitoring and operating production data ingestion jobs.

Eligibility & process

Who can apply

Experience: 8-13 Yrs. Open to matching qualifications.

Skills & stack

Ruby Rail AWS Ror Ruby Rails Ruby on Rails TypeScript React

Selection process

Online Assessment / Technical Interview Rounds / HR Review

Prep kit

19 resources

Study material 4

📖 Aptitude Practice Questions & Mock Tests Curated logical, quantitative, and verbal reasoning problems for the initial online screening round. 🎯 Company-Specific Interview Preparation Corner Detailed interview experiences, exam formats, and previous test questions for Intrics Solutions and tech roles. 📝 Technical Placement Question Bank High-yield coding cheat sheets, core CS fundamentals (OOP, DBMS, OS, Networks), and rapid revision guides. 💻 Algorithm, DSA & Live Code Debugger Practice Hands-on problem sets to improve coding speed and step-by-step memory debugging.

Company-specific guides 4

📖 APTITUDE & LOGIC Aptitude Practice Questions & Online Mock Tests Curated logical, quantitative, and verbal reasoning problems to sharpen reasoning skills required for the initial screening test. 🎯 COMPANY GUIDE Intrics Solutions Interview Preparation Corner Comprehensive guide covering typical interview formats, common questions, and preparation tips for Intrics Solutions and off-campus tech roles. 📝 MOCK TESTS & PAPERS Comprehensive Interview Prep Resources & Syllabus Collection of previous year questions, company-specific test patterns, and interview experiences for technical and HR rounds. 💻 CODING PRACTICE Algorithm and Data Structure Problem Set Practice problems to improve coding proficiency and algorithm problem-solving speed for technical rounds.

Likely coding questions 4

💻 Two Sum & Two Pointers Array Optimization Easy / Medium Asked in 85% tech rounds ⚡ Live debugger 💻 Reverse Linked List & Detect Cycle (Floyd's Algorithm) Medium Frequently asked in core rounds ⚡ Live debugger 💻 SQL Nth Highest Salary with DENSE_RANK() & Subqueries Medium Top standard database question ⚡ Live debugger 💻 Valid Parentheses & Stack Implementation Easy / Medium Standard online assessment problem ⚡ Live debugger

Round-wise strategy 4

Round 1: Online Assessment (OA) Aptitude, Quantitative Logic & 2 Coding Problems Focus on accuracy and speed. Practice arrays, strings, and standard arithmetic puzzles.

Round 2: Technical Interview 1 Core Tech Stack (Ruby, Rail, AWS, Ror, Ruby Rails, Ruby on Rails, TypeScript, React) & Live Code Tracing Explain your thought process aloud. Analyze time & space complexities before coding.

Round 3: System Design & Problem Solving Database Schemas, APIs & Architecture Basics Clarify edge cases, diagram schemas cleanly, and discuss scalability trade-offs.

Round 4: HR & Cultural Fit Discussion Intrics Solutions Core Values, Learning Agility & Offer Terms Demonstrate passion, strong communication, and readiness for full-time collaboration.

Technical questions 4

What is the bias-variance tradeoff and how do you prevent overfitting? Answer

Model answer: High bias leads to underfitting (oversimplified model), high variance leads to overfitting (captures noise). Mitigate using L1/L2 Regularization, Dropout, Cross-Validation, and data augmentation.

⚡ Practice in the code editor

Explain the difference between Precision, Recall, and F1-Score. Answer

Model answer: Precision = TP / (TP + FP) (correctness of positive predictions). Recall = TP / (TP + FN) (coverage of actual positives). F1-Score is the harmonic mean of Precision and Recall.

⚡ Practice in the code editor

How does Gradient Descent work and what is the role of Learning Rate? Answer

Model answer: It optimizes loss functions by iteratively moving weights in the direction of negative gradient. A large learning rate may overshoot the minimum; a small rate causes slow convergence.

⚡ Practice in the code editor

What is the difference between Supervised, Unsupervised, and Self-Supervised learning? Answer

Model answer: Supervised uses labeled data (X -> y). Unsupervised finds hidden patterns in unlabeled data (clustering/PCA). Self-supervised generates labels from input data (e.g. masked language modeling in BERT/Transformers).

⚡ Practice in the code editor

Behavioural & HR questions 3

Why do you want to join Intrics Solutions as a Senior Software Engineer?
Highlight Intrics Solutions's market reputation, recent tech innovations, and how your skills in Ruby directly solve their team's objectives.

Describe a challenging bug or academic project roadblock and how you resolved it.
Use the STAR method: Situation (project context), Task (what needed solving), Action (specific tools/logic applied), Result (quantifiable positive outcome).

How do you handle strict deadlines or sudden scope changes?
Explain your prioritization strategy, proactive communication with mentors/peers, and agile mindset.

About the role

Job Description

Eligibility & process

Who can apply

Skills & stack

Selection process

Prep kit

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