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REQUIREMENT_ID_330 β€’ 3-DAY_ACTIVE_POLICY

Software Engineer

Company
Company Goodspace AI
Type
Opportunity Type Full-Time Job
Salary
Stipend / Salary 9–12 LPA
Location
Location Remote (India)
Posted Date
Posted Date Today
Java JavaScript TypeScript Python C++ Node.js React Next.js REST APIs SQL NoSQL Data Structures Problem Solving Version Control (Git) Cloud Platforms (AWS GCP Azure) AI coding tools (GitHub Copilot Cursor ChatGPT)
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Aptitude Practice Questions Open Resource β†—
Helps you sharpen quantitative and logical reasoning skills commonly tested in the initial coding screen.
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Company Interview Preparation Guide Open Resource β†—
Provides insights into typical interview patterns and question types across tech companies, useful for Goodspace AI's technical rounds.
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Software Engineer Interview Guide for Goodspace AI Open Resource β†—
Specific preparation material covering topics and sample questions reported by candidates who interviewed at Goodspace AI.
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Problem Set for Coding Practice Open Resource β†—
A curated collection of algorithmic problems to practice coding speed and accuracy, essential for the online test.

Bachelor's degree in Computer Science, Information Technology, Electronics & Communication, or related engineering discipline; minimum 60% aggregate (or CGPA 6.0/10); graduating batch 2023‑2026; no active backlogs at the time of joining; strong fundamentals in programming and data structures.

1
Round 1: Online coding test (DSA and basic programming)
2
Round 2: Technical interview (system design, stack knowledge, problem solving)
3
Round 3: HR interview (culture fit, motivations, salary discussion)
Goodspace AI is an emerging technology startup focused on building AI‑powered products that simplify career discovery for professionals and accelerate hiring for companies. Founded by a team of seasoned engineers and product leaders, the firm leverages large language models, recommendation engines, and data analytics to create platforms that reach millions of users across India and beyond. The company culture emphasizes rapid experimentation, data‑driven decision making, and a collaborative environment where every engineer can see the impact of their work on real users. As a Software Engineer at Goodspace AI, you will be part of a fast‑growing product team that designs, develops, and maintains scalable web applications used by job seekers and recruiters daily. The role is ideal for fresh graduates or early‑career professionals (0‑3 years) who are passionate about building end‑to‑end solutions, enjoy solving complex problems, and are eager to work with modern cloud‑native technologies. You will work closely with product managers, designers, and senior engineers to translate product ideas into reliable, high‑performance code. Key Responsibilities: 1. Design, develop, test, and deploy scalable web applications and micro‑services. 2. Implement new product features and continuously improve existing functionality. 3. Write clean, efficient, and maintainable code following best practices and coding standards. 4. Collaborate with cross‑functional teamsβ€”product, design, and QAβ€”to deliver features end‑to‑end. 5. Debug, troubleshoot, and resolve production issues promptly. 6. Participate in code reviews, provide constructive feedback, and mentor peers. 7. Contribute to the evolution of the engineering stack, adopting modern frameworks and tools. 8. Ensure application security, performance, and reliability through automated testing and monitoring. 9. Work with version control (Git) and CI/CD pipelines to streamline releases. 10. Stay updated with emerging technologies, especially AI‑assisted coding tools, and share knowledge within the team. Tech Stack: Java, JavaScript/TypeScript, Node.js, Python, C++, React, Next.js, RESTful APIs, SQL & NoSQL databases, Git, AWS/GCP/Azure, and AI coding assistants such as GitHub Copilot, Cursor, or ChatGPT. Growth Path: Goodspace AI offers a clear career trajectoryβ€”from Junior Engineer to Senior Engineer, Tech Lead, and eventually Engineering Managerβ€”based on performance, impact, and leadership. Regular learning sessions, mentorship programs, and exposure to product decision‑making accelerate professional development. Why Join Goodspace AI? You will work on products that touch millions of users, gain hands‑on experience with cutting‑edge AI and cloud technologies, and enjoy a fully remote, flexible work environment. The startup’s high ownership model ensures that your contributions are visible and rewarded, while the supportive culture promotes continuous learning and rapid career growth.

Goodspace AI β€” Data Analytics & SQL Interview Guide

Previously asked questions, exam syllabus, coding benchmarks & round strategy.

APTITUDE & LOGIC πŸ“–
Aptitude Practice Questions & Online Mock Tests

Curated logical, quantitative, and verbal reasoning problems to sharpen reasoning skills required for the initial screening test.

Open Resource β†—
COMPANY GUIDE 🎯
Goodspace AI Interview Preparation Corner

Comprehensive guide covering typical interview formats, common questions, and preparation tips for Goodspace AI and off-campus tech roles.

Open Resource β†—
MOCK TESTS & PAPERS πŸ“
Comprehensive Interview Prep Resources & Syllabus

Collection of previous year questions, company-specific test patterns, and interview experiences for technical and HR rounds.

Open Resource β†—
CODING PRACTICE πŸ’»
Algorithm and Data Structure Problem Set

Practice problems to improve coding proficiency and algorithm problem-solving speed for technical rounds.

Open Resource β†—
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 (Java, JavaScript, TypeScript, Python, C++, Node.js, React, Next.js, REST APIs, SQL, NoSQL, Data Structures, Problem Solving, Version Control (Git), Cloud Platforms (AWS, GCP, Azure), AI coding tools (GitHub Copilot, Cursor, ChatGPT)) & 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
Goodspace AI Core Values, Learning Agility & Offer Terms
Demonstrate passion, strong communication, and readiness for full-time collaboration.
What is the difference between WHERE and HAVING clauses in SQL? Answer β–Ό
Model Answer: WHERE filters rows before any groupings are applied, while HAVING filters aggregated groups after GROUP BY has executed.
Explain SQL Window functions: ROW_NUMBER(), RANK(), and DENSE_RANK(). Answer β–Ό
Model Answer: ROW_NUMBER() assigns unique sequential integers. RANK() assigns identical ranks to ties and skips ranks. DENSE_RANK() assigns identical ranks to ties without skipping rank numbers.
How do you handle NULL and missing values during data cleaning in Python/Pandas? Answer β–Ό
Model Answer: Use .isna().sum() to identify missing values. Impute with mean/median using .fillna() or remove with .dropna(subset=[...]) depending on variance impact.
What is the difference between Star Schema and Snowflake Schema in Data Warehousing? Answer β–Ό
Model Answer: Star Schema has denormalized dimension tables directly connected to the central Fact table. Snowflake Schema normalizes dimension tables into sub-dimensions to minimize redundancy.
How do you calculate MoM (Month-over-Month) growth in SQL? Answer β–Ό
Model Answer: Use LAG(revenue, 1) OVER (ORDER BY month) to fetch the previous month's revenue and compute (revenue - prev_revenue) / prev_revenue * 100.
Why do you want to join Goodspace AI as a Software Engineer?
Preparation Tip: Highlight Goodspace AI's market reputation, recent tech innovations, and how your skills in Java directly solve their team's objectives.
Describe a challenging bug or academic project roadblock and how you resolved it.
Preparation Tip: 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?
Preparation Tip: Explain your prioritization strategy, proactive communication with mentors/peers, and agile mindset.

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