Backend Developer

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.

• Must have applied knowledge of Python and trending data libraries.
• Experience on Python Backend Development framework like Flask, Django etc.
• Must have experience working on AWS (Lambda, EC2, S3, API Gateway etc).
• Must have experience working on SQL optimization and performance tuning.
• Nice to have technical knowledge in any ETL/ BI Tools (Datastage, Informatica, Alteryx, Microstrategy, RDM, MDM etc.

We are looking for a Tech with a proficiency in backend technologies to design, develop a new state-of-the-art, paradigm changing product in software development. Responsibilities include evaluating technologies, developing proof-of concept prototypes, designing, and developing complete end-to-end products.

What would you be doing?

• should be able to mentor, guide, and train other engineers.
• should also be able to work with different stakeholders such as business owners, leadership, and customers.
• able to evaluate the business requirements, performance constraints, trade-offs and system limitations when developing software.
• should be well versed with new technologies and software development practices and be able to judge the trade-offs to make well thought out decisions, design choices and build the system for extensibility and robustness.
• The Django developer will be part of the core engineering team, entrusted with the complete architecture, design and development of the product.
• Work on a great product which empowers next generation entrepreneurs from its early phase

What makes you a suitable candidate?

• 1+ years of experience in designing and developing large scale, complex software applications
• Strong analytical, problem solving and design skills
• Strong knowledge of data structure, algorithms, and coding
• Proven experience in any high-level programming languages like Python, Django, DRF, Elasticsearch etc
• Knowledge of MVC architecture and hands-on experience with Spring, Spring security, Spring boot, and Hibernate framework
• Proven experience in database technologies (SQL, NoSQL, MongoDB).
• Working knowledge of developing Restful Micro services, ORM technologies etc
• Experience in container-based deployments
• Working experience in Amazon DynamoDB, Docker, AWS-Lambda
• Experience with Messaging technologies like Kakfa, RabbitMQ, redis etc
• Ability to multitask
• Good communication, organizational and leadership skills

As a Software Development Engineer at Amazon, you have industry-leading technical abilities and demonstrate breadth and depth of knowledge. You build software to deliver business impact, making smart technology choices. You work in a team and drive things forward.

Top Skills

• You write high quality, maintainable, and robust code, often in Java or C++/C/Python/ROR/C#
• You recognize and adopt best practices in software engineering: design, testing, version control, documentation, build, deployment, and operations.
• You have experience building scalable software systems that are high-performance, highly-available, highly transactional, low latency and massively distributed.

Roles & Responsibilities

• You solve problems at their root, stepping back to understand the broader context.
• You develop pragmatic solutions and build flexible systems that balance engineering complexity and timely delivery, creating business impact.
• You understand a broad range of data structures and algorithms and apply them to deliver high-performing applications.
• You recognize and use design patterns to solve business problems.
• You understand how operating systems work, perform and scale.
• You continually align your work with Amazon’s business objectives and seek to deliver business value.
• You collaborate to ensure that decisions are based on the merit of the proposal, not the proposer.
• You proactively support knowledge-sharing and build good working relationships within the team and with others in Amazon.
• You communicate clearly with your team and with other groups and listen effectively.

Skills & Experience

• Bachelors or Masters in Computer Science or relevant technical field.
• Experience in software development and full product life-cycle.
• Excellent programming skills in any object oriented programming languages - preferably Java, C/C++/C#, Perl, Python, or Ruby.
• Strong knowledge of data structures, algorithms, and designing for performance, scalability, and availability.
• Proficiency in SQL and data modeling.

Should be highly Technical and hands-on experience in Artificial Intelligence and Machine learning and Python. Managing the successful delivery of projects by efficient planning and coordination.

KEY RESPONSIBILITIES OF THE POSITION :

• Create Technical Design for AI, Machine Learning, Deep Learning, NLP, NLU, NLG projects and implement the same in production.
• Solid understanding and experience of deep learning architectures and algorithms
• Working experience with AWS, most importantly AWS SageMaker, Aurora or MongoDB, Analytics and reporting.
• Experience solving problems in the industry using deep learning methods such as recurrent neural networks (RNN, LSTM), convolutional neural nets, auto-encoders, etc.
• Should have experience of 2-3 production implementations of machine learning projects.
• Knowledge of open-source libraries such as Keras, Tensor Flow, Pytorch
• Work with business analysts/consultants and other necessary teams to create a strong solution
• Should have in-depth understanding and experience of Data Science and Machine Learning projects using Python, R, etc. Skills in Java/C are a plus
• Should developing solutions using python in AI/ML projects
• Should be able to train and build a team of technical developers
• Desired to have experience as leads in designing and developing applications/tools using Microsoft technologies - ASP.Net, C#, HTML5, MVC
• Desired to have knowledge on any of the cloud solutions such as Azure or AWS
• Desired to have knowledge on any of container technology such as Docker
• Should be able to build strong relationships with project stakeholders

Keywords:

• Python
• Artificial Intelligence
• Machine Learning
• AWS
• Django
• NLP