Linux BSP Developer

Who are we?

Trendlyne is a Series-A funded, profitable products startup in the financial markets space. We have cutting-edge analytics products built for Indian and US customers, for stock markets and mutual funds.Our founders are IIT + IIM graduates, with strong tech and marketing experience. 

What do we do?

We build powerful analytics in the US and Indian stock market space that are best in class. Organic growth in B2B and B2C products have already made the company profitable. We deliver 1 billion+ APIs every month to B2B customers, and have 25 Lakh+ Monthly Average users on Trendlyne B2C website and app.

Visit us at trendlyne.com, or look for the trendlyne mobile app on the Google Play Store:

https://play.google.com/store/apps/details?id=com.trendlyne.markets

Tech Stack

• Python (Django)
• PostgreSQL / MySQL manages millions or row insertions each day
• Vector Databases / RAG manages all documents 
• Redis / caching systems
• REST APIs
• 100+ AI tooling and Foundation model integrations

Job Responsibilities : 

• Develop and maintain scalable, robust backend systems using Python and Django framework. 
• Work closely with product managers and other cross functional teams to help define, scope and deliver world-class products and high quality features addressing key user needs. 
• Translate requirements into system architecture and implement code while considering performance issues of dealing with billions of rows of data and serving millions of API requests every hour. 
• Ability to take full ownership of the software development lifecycle from requirement to release. 
• Writing and maintaining clear technical documentation enabling other engineers to step in and deliver efficiently. 
• Embrace design and code reviews to deliver quality code. 
• Play a key role in taking Trendlyne to the next level as a world-class engineering team 
• Develop and iterate on best practices for the development team, ensuring adherence through code reviews. 
• As part of the core team, you will be working on cutting-edge technologies like AI products, online backtesting, data visualization, and machine learning. 
• Develop and maintain scalable, robust backend systems using Python and Django framework.
• Proficient understanding of the performance of web and mobile applications.

Job Requirements : 

• Ownership mindset: you build, ship, and improve 
• At least 1+ years of experience with Python and Django. 
• Good knowledge of APIs, databases, and system performance
• Strong understanding of relational databases like PostgreSQL or MySQL and Redis. - (Optional): Experience with web front-end technologies such as JavaScript, HTML, and CSS

Job Summary:

We are looking for a skilled and motivated Python AWS Engineer to join our team. The ideal candidate will have strong experience in backend development using Python, cloud infrastructure on AWS, and building serverless or microservices-based architectures. You will work closely with cross-functional teams to design, develop, deploy, and maintain scalable and secure applications in the cloud.

Key Responsibilities:

• Develop and maintain backend applications using Python and frameworks like Django or Flask
• Design and implement serverless solutions using AWS Lambda, API Gateway, and other AWS services
• Develop data processing pipelines using services such as AWS Glue, Step Functions, S3, DynamoDB, and RDS
• Write clean, efficient, and testable code following best practices
• Implement CI/CD pipelines using tools like CodePipeline, GitHub Actions, or Jenkins
• Monitor and optimize system performance and troubleshoot production issues
• Collaborate with DevOps and front-end teams to integrate APIs and cloud-native services
• Maintain and improve application security and compliance with industry standards

Required Skills:

• Strong programming skills in Python
• Solid understanding of AWS cloud services (Lambda, S3, EC2, DynamoDB, RDS, IAM, API Gateway, CloudWatch, etc.)
• Experience with infrastructure as code (e.g., CloudFormation, Terraform, or AWS CDK)
• Good understanding of RESTful API design and microservices architecture
• Hands-on experience with CI/CD, Git, and version control systems
• Familiarity with containerization (Docker, ECS, or EKS) is a plus
• Strong problem-solving and communication skills

Preferred Qualifications:

• Experience with PySpark, Pandas, or data engineering tools
• Working knowledge of Django, Flask, or other Python frameworks
• AWS Certification (e.g., AWS Certified Developer – Associate) is a plus

Educational Qualification:

• Bachelor's or Master’s degree in Computer Science, Engineering, or related field

Must have:

• 8+ years of experience with a significant focus on developing, deploying & supporting AI solutions in production environments.
• Proven experience in building enterprise software products for B2B businesses, particularly in the supply chain domain.
• Good understanding of Generics, OOPs concepts & Design Patterns
• Solid engineering and coding skills. Ability to write high-performance production quality code in Python
• Proficiency with ML libraries and frameworks (e.g., Pandas, TensorFlow, PyTorch, scikit-learn).
• Strong expertise in time series forecasting using stat, ML, DL and foundation models
• Experience of working on processing time series data employing techniques such as decomposition, clustering, outlier detection & treatment
• Exposure to generative AI models and agent architectures on platforms such as AWS Bedrock, Crew AI, Mosaic/Databricks, Azure
• Experience of working with modern data architectures, including data lakes and data warehouses, having leveraged one or more of the frameworks such as Airbyte, Airflow, Dagster, AWS Glue, Snowflake,, DBT
• Hands-on experience with cloud platforms (e.g., AWS, Azure, GCP) and deploying ML models in cloud environments.
• Excellent problem-solving skills and the ability to work independently as well as in a collaborative team environment.
• Effective communication skills, with the ability to convey complex technical concepts to non-technical stakeholders

Good To Have:

• Experience with MLOps tools and practices for continuous integration and deployment of ML models.
• Has familiarity with deploying applications on Kubernetes
• Knowledge of supply chain management principles and challenges.
• A Master's or Ph.D. in Computer Science, Machine Learning, Data Science, or a related field is preferred

Minimum of 4+ years of experience in Java development

• Experience delivering Services (REST, SOAP) and Web applications in Micro services architecture
• Experience developing and deploying Java solutions to cloud
• Experience in Spring Boot and components of Spring framework
• Experience in a JavaScript framework such as Angular or React
• Experience in TDD using Junit or similar frameworks

·       Experience in Design Patterns and service oriented architectural principles, Data structures and Algorithms.

·       Individual should be an active participant in the product design and code reviews for self and team and can competently review any aspect of their product or major sub-system.

·       Experience in SQL, Unix skills.

·       Good communication Skill

We are looking for a Backend Developer who has 4-6 years of experience in designing, developing, and implementing backend services using Python and Django.

- Responsibilities-

- Design highly scalable, testable code and follow Test Driven Development methodology 

- Able to write well-organized, modularised code with test cases.

- Contribute to the design and architecture of our backend APIs and deployment of microservices

- Ensure adherence to engineering best practices and maintain the overall quality of our codebase.

- Work with the product team to translate powerful ideas into everyday business value.

- Skills-

- Back-end programming language: Python

- Familiarity with Django or Flask framework

- Familiarity with AWS and Elastic Search

- Experience in SQL and NoSQL databases with an insight into various data modeling use cases

- Experience with system & unit testing

- Familiarity with containerized deployment

- Proficiency with Git

- Sound with data structures and algorithms and have a good understanding of design patterns, software architectures

EmptyCup is an interior design platform. Our goal is to make good interior design accessible.

To know more about our vision, checkout this https://drive.google.com/file/d/1_PBkSaHLep-QsZzRWdKMI3amc-KFe99z/view">intro presentation.

You can also checkout our https://emptycup.in/">website here to know more about the product offering.

Senior Backend Engineer (Platform) Full Time Bangalore (Potentially Remote)

What you’ll be doing:

• Design and develop core systems that will be power teams to build services and apps
• Ensure and constantly improve reliability, scalability, security and performance of core apis and infrastructure
• Be proactive in technical decision making and a sound influence in technical discussions
• Work with the product teams to help shape product direction by communicating limitations and possibilities
• Adopt and advocate best practices and guidelines in architecture, code conventions, development practice

Who we are looking for:

• 5+ years of experience building web services in Python/Go/Java, preferably in Python with excellent debugging and analytical skills
• Strong understanding of software engineering principles, computer science fundamentals - data structures, algorithms and operating systems
• Proven experience in building, deploying and maintaining highly scalable RESTful web services
• Excellent written and oral communication ability in both technical and non tech. aspects
• Good understanding of benchmarking and performance monitoring - concurrency, multi-threading, logging, database optimisations
• Decent knowledge of CI/CD pipelines and familiarity with shipping code quickly and reliably.

What we offer:

• Ownership of the platform core with a clear roadmap.
• A small cool meritocratic team that's driven by passion.
• An inspiring culture that balances creative exploration & heads down execution.
• Cash compensation upto 20L and negotiable stock in a gold mine.