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Senior Full Stack Developer

About the Role :

Were looking for a skilled Full Stack Engineer (5-10 years of experience) who can design and build scalable web applications, own end-to-end features, and contribute to the technology powering Indias fastest-growing jewelry platform.

Youll work closely with product and design teams to bring seamless user experiences to life while ensuring robust backend systems.

Key Responsibilities :

- Design, develop, and maintain scalable web applications and APIs.

- Work across the stack - from front-end interfaces to backend logic and database layers.

- Collaborate with product managers and designers to translate requirements into high-quality code.

- Optimize application performance, security, and scalability.

- Drive code quality via reviews, best practices, and mentoring junior engineers.

- Improve system performance and reliability with monitoring, testing, and CI/CD practices.

- Contribute to architectural decisions and technology choices as the platform scales.

- Stay hands-on with coding while helping guide the technical direction of the team.

Qualifications :

- 5 - 8 years of professional experience as a Full Stack Developer.

- Strong expertise in JavaScript/TypeScript, with experience in frameworks like React.js or Next.js.

- Solid experience with Python (Django, FastAPI, or Flask).

- Solid understanding of relational databases (schema design, query optimization).

- Experience building and consuming REST/GraphQL APIs.

- Familiarity with Docker and containerized deployments.

- Hands-on experience with cloud platforms (AWS preferred).

- Understanding of microservices architecture.

- Knowledge of DevOps practices (CI/CD pipelines, monitoring, observability).

- Strong understanding of web performance, scalability, and security best practices.

- Excellent problem-solving, debugging, and optimization skills.

- Strong communication skills and ability to mentor other engineers.

Nice to Have :

- Background in Statistics, Computer Science, Economics, or related field.

- Exposure to Python or R for advanced analytics.

Whats in It for You :

- High ownership role in a fast-paced environment.

- Opportunity to work closely with the founding team and passionate professionals.

- Competitive salary with fast career growth and appraisals.

- Dynamic, collaborative, and politics-free work environment.

- Health insurance coverage.

Additional Details :

- Early-stage startup environment where achievements require effort, dedication, and passion.

- 6-day work week.

- Location : HSR Layout, Bangalore.

• As a Senior Full-stack Developer, your role would involve design development and deploy full-stack applications out of Artificial intelligence projects with a focus on low latency and scalability.
• You also need to optimize the application for better performance and a large number of concurrent users.
• Besides, you’d also closely mentor younger engineers on the team and contribute to team building.
• A strong technologist at Curl cares about doing things the right way rather than just doing them and thrives in a complex and challenging environment.

Senior Data Scientist-Job Description

The Senior Data Scientist role is a creative problem solver who utilizes statistical/mathematical principles and modelling skills to uncover new insights that will significantly and meaningfully impact business decisions and actions.  She/he applies their data science expertise in identifying, defining, and executing state-of-art techniques for academic opportunities and business objectives in collaboration with other Analytics team members. The Senior Data Scientist will execute analyses & outputs spanning test design and measurement, predictive analytics, multivariate analysis, data/text mining, pattern recognition, artificial intelligence, and machine learning.

Key Responsibilities:

• Perform the full range of data science activities including test design and measurement, predictive/advanced analytics, and data mining, and analytic dashboards.
• Extract, manipulate, analyse & interpret data from various corporate data sources developing advanced analytic solutions, deriving key observations, findings, insights, and formulating actionable recommendations.
• Generate clearly understood and intuitive data science / advanced analytics outputs.
• Provide thought leadership and recommendations on business process improvement, analytic solutions to complex problems.
• Participate in best practice sharing and communication platform for advancement of the data science discipline.
• Coach and collaborate with other data scientists and data analysts.
• Present impact, insights, outcomes & recommendations to key business partners and stakeholders.
• Comply with established Service Level Agreements to ensure timely, high quality deliverables with value-add recommendations, clearly articulated key findings and observations.

Qualification:

• Bachelor's Degree (B.A./B.S.) or Master’s Degree (M.A./M.S.) in Computer Science, Statistics, Mathematics, Machine Learning, Physics, or similar degree
• 5+ years of experience in data science in a digitally advanced industry focusing on strategic initiatives, marketing and/or operations.
• Advanced knowledge of best-in-class analytic software tools and languages: Python, SQL, R, SAS, Tableau, Excel, PowerPoint.
• Expertise in statistical methods, statistical analysis, data visualization, and data mining techniques.
• Experience in Test design, Design of Experiments, A/B Testing, Measurement Science Strong influencing skills to drive a robust testing agenda and data driven decision making for process improvements
• Strong Critical thinking skills to track down complex data and engineering issues, evaluate different algorithmic approaches, and analyse data to solve problems.
• Experience in partnering with IT, marketing operations & business operations to deploy predictive analytic solutions.
• Ability to translate/communicate complex analytical/statistical/mathematical concepts with non-technical audience.
• Strong written and verbal communications skills, as well as presentation skills.