SDE (Python)

• Strong understanding of Core Python, data structures, OOPs, exception handling, and logical problem-solving.
• Experience in at least one Python framework (FastAPI preferred, Flask/Django acceptable).
• Good knowledge of REST API development and API authentication (JWT/OAuth).
• Experience with SQL databases (MySQL/PostgreSQL) & NoSQL databases (MongoDB/Firestore).
• Basic understanding of cloud platforms (GCP or AWS).
• Experience with Git, branching strategies, and code reviews.
• Solid understanding of performance optimization and writing clean, efficient code.
• Develop, test, and maintain high-quality Python applications using FastAPI (or Flask/Django).
• Design and implement RESTful APIs with strong understanding of request/response cycles, data validation, and authentication.
• Work with SQL (MySQL/PostgreSQL) and NoSQL (MongoDB/Firestore) databases, including schema design and query optimization.
• Experience with Google Cloud (BigQuery, Dataflow, Notebooks) will be a strong plus.
• Work with cloud environments (GCP/AWS) for deployments, storage, logging, etc.
• Use version control tools such as Git/BitBucket for collaborative development.
• Support and build data pipelines using Dataflow/Beam and BigQuery if required.
• Experience with GCP services like BigQuery, Dataflow (Apache Beam), Cloud Functions, Notebooks etc
• Good to have Exposure to microservices architecture.
• Familiarity with Redis, Elasticsearch, or message queues (Pub/Sub, RabbitMQ, Kafka).
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FactWise is a fully funded, early-stage startup building b2b SaaS for a global SMB client base. Our team has alumni from MIT, Stanford, GeorgiaTech, UCL, the IITs, VJTI, Amazon and McKinsey, and currently comprises frontend, backend, full stack developers, UI/UX engineers, product managers, data scientist, and Ops, HR, Marketing. We'd love to get to know you better!

As a member of the development group, you will be primarily responsible for the design, development, and maintenance of the product:  

• Help define and create full stack architecture and deployment using React- Django-AWS in an agile environment with lots of ownership and active mentoring. 
• Work with the Product and Design teams to build new features to solve business problems and fill business needs 
• Participate in code reviews to create robust and maintainable code 
• Work in an agile environment where quick iterations and good feedback are a way of life 
• Interact with other stakeholders for requirement, design discussions and for adoption of new features 
• Communicate and coordinate with our support and professional services teams to solve customer issues. 
• Help scale our platform as we expand our product across various markets and verticals globally. 

As a young startup, we are hoping to be joined by self-starting, hardworking, passionate individuals who are committed to delivering their best, who can grow into future leaders of FactWise. 

What you’ll be doing

 Weare much more than our job descriptions, but here is where you will begin:

 As a Senior Software Engineer Data & ML You’ll Be:

 ● Architect, design, test, implement, deploy, monitor and maintain end-to-end backend

 services. You build it, you own it.

 ● Work with people from other teams and departments on a day to day basis to ensure

 efficient project execution with a focus on delivering value to our members.

 ● Regularly aligning your team’s vision and roadmap with the target architecture within your

 domain and to ensure the success of complex multi domain initiatives.

 ● Integrate already trained ML and GenAI models (preferably GCP in services.

ROLE:

 Whatyou’ll need,

 Like us, you’ll be deeply committed to delivering impactful outcomes for customers.

 What Makes You a Great Fit

 ● 5 years of proven work experience as a Backend Python Engineer

 ● Understanding of software engineering fundamentals OOPS, SOLID, etc.)

 ● Hands-on experience with Python libraries like Pandas, NumPy, Scikit-learn,

 Lang chain/LLamaIndex etc.

 ● Experience with machine learning frameworks such as PyTorch or TensorFlow, Keras, being

 proficient in Python

 ● Hands-on Experience with frameworks such as Django or FastAPI or Flask

 ● Hands-on experience with MySQL, MongoDB, Redis and BigQuery (or equivalents)

 ● Extensive experience integrating with or creating REST APIs

 ● Experience with creating and maintaining CI/CD pipelines- we use GitHub Actions.

 ● Experience with event-driven architectures like Kafka, RabbitMq or equivalents.

 ● Knowledge about:

 o LLMs

 o Vector stores/databases

 o PromptEngineering

 o Embeddings and their implementations

 ● Somehands-onexperience in implementations of the above ML/AI will be preferred

 ● Experience with GCP/AWS services.

 ● You are curious about and motivated by the future trends in data, AI/ML, analytics

Role Responsibilities:

• Development and Maintenance of REST APIs: Lead the creation and management of our RESTful APIs, ensuring top-notch performance and alignment with evolving requirements.
• Proficiency in Coding: We're in search of expertise in Python or equivalent programming languages. Your coding skills will play a pivotal role in delivering high-quality (efficient, reusable, testable, and scalable) solutions.
• Unit and Integration Testing: Apply your expertise to craft unit and integration tests, upholding code quality and reliability.
• Version Control Systems: Proficiency in Distributed Version Control Systems is vital for seamless collaboration during development.
• Elasticsearch Expertise: Having valuable experience with Elasticsearch is a plus, given its critical role in data retrieval and search functionalities.
• NOSQL Database Familiarity: Knowledge of NOSQL databases like Cassandra and MongoDB will be advantageous.
• Message Broker Knowledge: Understanding message brokers, especially RabbitMQ, is beneficial for effective communication within our systems.

Desired Qualifications:

• Experience: 1-2 years of hands-on experience as a Python developer.
• AWS: Proficiency in AWS cloud management and architecting enterprise data solutions.
• Pragmatic Problem-Solving: Recognize when a solution should be streamlined and when creating the right abstraction will lead to long-term efficiency gains.
• Passion for Quality: Demonstrate dedication to producing work of the highest quality and following best practices.
• Agile/Lean Process: Familiarity with Agile/Lean methodologies is a plus, reflecting your adaptability and collaborative spirit.
• Startup Mindset: Embrace the challenges and opportunities of a startup environment, contributing your skills and insights to our growth.
• Debugging and Optimization: Showcase excellent debugging and optimization capabilities to enhance system performance.
• Tech Awareness: Stay updated on emerging technologies and possess a solid understanding of the full product development life cycle.
• UX and Information Architecture: Exhibit excellent knowledge of mobile user experience, information architecture, and industry trends.

Kognitos is a cutting-edge automation platform that combines the power of Generative AI and Natural

Language Processing (NLP) to provide a conversational and intuitive experience for business users. As a

fully serverless, SaaS automation platform, Kognitos enables users to build, manage, and execute

automations in natural language, with the ability to process and understand domain-specific language.

Kognitos provides a detailed auditable view of its runs, allowing users to gain insights into why an action

happened or what might have gone wrong in case of an exceptional situation. Additionally, Kognitos's

conversational exception handling, powered by Generative AI, allows for quick and easy resolution of

unexpected system errors or business exceptions.

Responsibilities:

- Develop and maintain the backend infrastructure for our applications using Python and AWS Serverless

technologies.

- Collaborate with cross-functional teams to design and implement scalable and robust systems, including

microservices and cloud-based architectures.

- Ensure the reliability, scalability, and performance of the backend systems through monitoring and

optimization.

- Create and maintain database schema and queries to support the application features.

- Write unit and integration tests for the backend code and ensure code quality through code reviews.

- Continuously improve the software development process by incorporating best practices and modern

software development methodologies, such as Agile, DevOps, and CI/CD.

- Investigate and troubleshoot production issues and provide timely solutions to minimize downtime and

ensure smooth operations.

- Participate in architectural discussions and contribute to the development of technical solutions and best

practices.

- Stay up to date with the latest technologies and trends in software development and recommend

improvements to the technology stack to increase efficiency and scalability.

- Work in a fast-paced, collaborative environment with a focus on delivering high-quality software that

meets customer needs.

Required Experience/Skills:

- B.S. or higher degree in Computer Science/Engineering or similar field or equivalent work experience

- 4-20 years of industry experience (or equivalent)

- Proficient in Python programming language

- Experience with modern software development practices and methodologies, including Agile, DevOps,

and Continuous Integration/Continuous Delivery (CI/CD).

- Experience with large-scale distributed systems, microservices, and cloud-based architectures.

- Strong understanding of software design patterns, algorithms, data structures, and database technologies.

- A natural problem solver, with the ability to identify problems and lead the development of a solution.

We are looking for a Backend Developer responsible for managing the interchange of data between the server and the users. Your primary focus will be the development of all server-side logic, ensuring high performance and responsiveness to requests from the front-end. You will also be responsible for integrating the front-end elements built by your co-workers into the application; therefore, a basic understanding of front-end technologies is necessary as well.

• Writing reusable, testable, and efficient code
• Design and implementation of low-latency, high-availability, and performant applications
• Implementation of security and data protection strategies like circuit breaker, rate limiting.
• Integration of data storage solutions like OLTP(RDS, Postgres), OLAP(Redshift) and Cache(redis, memcache) servers with applications.
• End to end responsibility from development to production.
• Ability to work in odd hours in-case of emergencies.
• Well aware of server-less, containers and microservices technologies(like Lambda, Fargate, ECS, EKS).

• Experience 1.5+ yrs in the Software Industry.
• Mastery in Python with knowledge of at least one Python web framework (such as Django, Flask) with amazing debugging skills.
• Familiarity with some ORM (Object Relational Mapper) and caching libraries
• Understanding of the threading limitations of Python, and multi-process architecture
• Good understanding of server-side templating languages such as Jinja 2, Mako
• Basic understanding of front-end technologies, such as Jquery, JavaScript, HTML5, and CSS3
• Understanding of accessibility and security compliance
• Knowledge of user authentication and authorization between multiple systems, servers, and environments
• Understanding of fundamental design principles behind a scalable application
• Familiarity with event-driven programming in Python
• Understanding of the differences between multiple delivery platforms, such as mobile vs desktop, and optimizing output to match the specific platform
• Able to create extendible database schemas that represent and support business processes
• Strong unit test and debugging skills
• Proficient understanding of code versioning tools such as Git or SVN
• Make sure to mention other frameworks, libraries, or any other technology related to your development stack