Python Full Stack Developer
Beautiful Concepts
About the role
Beautiful Concepts Pvt Ltd is an emerging technology solutions provider based in India, focused on delivering end‑to‑end digital products for manufacturing, supply‑chain and enterprise domains. The company has built a niche in integrating ERP, CRM and PLM platforms with modern cloud‑native services, helping clients modernise legacy workflows. With a small but highly skilled engineering team, Beautiful Concepts encourages rapid learning, ownership and a culture of continuous improvement.
The firm’s remote‑first policy allows talent from across the country to collaborate on high‑impact projects while enjoying flexibility and work‑life balance.
As a Python Full Stack Developer (0‑1 years experience), you will be at the heart of the product development lifecycle. You will design, develop, test and maintain backend services using Python frameworks and expose them via robust RESTful APIs. You will also work closely with front‑end engineers, product managers and QA to ensure seamless integration with ERP, CRM and PLM modules.
The role offers exposure to cloud platforms, containerisation and micro‑service architecture, making it an ideal launchpad for a career in full‑stack engineering.
Key Responsibilities
- Write clean, secure, and efficient Python code following micro‑service best practices.
- Design and implement RESTful APIs to enable communication between front‑end applications and backend services.
- Develop and optimise database schemas in PostgreSQL and NoSQL stores like MongoDB.
- Containerise applications using Docker and orchestrate deployments on AWS/Azure.
- Participate in requirement gathering, impact analysis and risk mitigation activities.
- Conduct unit testing, debugging and performance tuning to ensure high reliability.
- Collaborate with cross‑functional teams to translate business needs into technical solutions.
- Maintain version control using Git and contribute to CI/CD pipelines.
- Implement security measures and data protection protocols.
- Document code, APIs and system architecture for future reference.
Tech Stack: Python, Django/Flask/FastAPI, PostgreSQL, MongoDB, Docker, Kubernetes, AWS/Azure, Git, CI/CD tools.
Growth Path: Starting as a junior full‑stack developer, you can progress to Senior Engineer, Technical Lead, and eventually Architect or Product Manager, depending on your interests and performance. The company supports certifications and continuous learning through online courses and internal tech talks.
Why Join: You will gain hands‑on experience with enterprise‑grade integrations, cloud services, and modern DevOps practices while working in a supportive remote environment. The stipend provides a modest financial cushion, and the exposure to real‑world projects accelerates your transition from fresher to industry‑ready professional.
Eligibility & process
Who can apply
Bachelor's degree in Computer Science, Information Technology, Electronics & Communication, or a related engineering discipline (or equivalent diploma). Minimum aggregate of 60% (or CGPA 6.0/10). Fresh graduates or candidates with up to 1 year of relevant experience are eligible. No active backlogs at the time of joining. Open to 2024, 2025, or 2026 batch graduates.
Skills & stack
Selection process
- Round 1: Online coding test (Python/DSA)
- Round 2: Technical interview (system design, Python, databases)
- Round 3: HR interview (fitment, communication skills)
Prep kit
20 resourcesStudy material 4
Company-specific guides 4
Likely coding questions 4
Round-wise strategy 4
Technical questions 5
What is the difference between WHERE and HAVING clauses in SQL? Answer
Explain SQL Window functions: ROW_NUMBER(), RANK(), and DENSE_RANK(). Answer
How do you handle NULL and missing values during data cleaning in Python/Pandas? Answer
What is the difference between Star Schema and Snowflake Schema in Data Warehousing? Answer
How do you calculate MoM (Month-over-Month) growth in SQL? Answer
Behavioural & HR questions 3
Highlight Beautiful Concepts's market reputation, recent tech innovations, and how your skills in Python directly solve their team's objectives.
Use the STAR method: Situation (project context), Task (what needed solving), Action (specific tools/logic applied), Result (quantifiable positive outcome).
Explain your prioritization strategy, proactive communication with mentors/peers, and agile mindset.