Software Engineer

Candidates typically face a three‑stage process: an online coding assessment focusing on data structures and algorithms, followed by a technical interview that dives deep into system design, language proficiency, and problem‑solving approach. The final HR round assesses cultural fit and discusses compensation. Overall difficulty is moderate; thorough DSA practice and familiarity with the listed tech stack greatly improve chances.

Round 1: Online coding test (DSA and basic programming) → Round 2: Technical interview (system design, stack knowledge, problem solving) → Round 3: HR interview (culture fit, motivations, salary discussion)

Goodspace AI fosters a merit‑based culture where ideas are judged on impact rather than hierarchy. Employees enjoy a balance of autonomy and collaboration, with regular hackathons and learning sessions that encourage skill growth while maintaining a healthy work‑life balance.

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.

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 teams—product, design, and QA—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 trajectory—from Junior Engineer to Senior Engineer, Tech Lead, and eventually Engineering Manager—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.