Data Engineer

Role

You will develop and maintain the key backend code and infrastructure of the company stack. You will implement AI solutions like LLMs for various tasks such as voice-based interactive systems, chatbots, and AI web apps. Ability to see projects through from start to finish with good organizational skills and attention to detail. This is a perfect role for someone who likes to build state-of-the-art AI products and work with cutting-edge AI technologies like GPT, LLAMA, etc

Qualifications 

• BS or MS in Computer Science or relevant field.
• 4+ years experience in backend software development
• Be able to design high-throughput scalable backend systems
• Eagerness to learn applied AI technologies like LLMs, prompt engineering, etc
• Proficiency in Python.
• Experience with cloud computing platforms (AWS, GCP) and technologies like Docker
• Knowledge of Rest APIs, databases (mysql, mongo, vectorDB)

Software Architect

Bangalore, India / Engineering/ Full-time

Job Overview:

As a Software Architect, you will play a crucial role in designing, developing, and maintaining robust and scalable backend solutions for our software applications. You will be responsible for making strategic technical decisions, and collaborating with cross-functional teams to ensure the successful delivery of high-quality software products with scalable backend infrastructure. 

Responsibilities:

• System Architecture:
• Design and architect scalable, efficient, and maintainable backend systems.
• Collaborate with cross-functional teams to understand business requirements and translate them into technical specifications.
• Technical Leadership:
• Provide technical leadership and guidance to the development team, ensuring best practices and coding standards are followed.
• Mentor and coach team members, fostering a culture of continuous learning and improvement.
• Backend Development:
• Lead the development of backend components, modules, and features primarily on Ruby on Rails tech stack and also be open to contribute in other tech stacks based on Java/Kotlin and Python.
• Implement and maintain APIs, data models, and database structures to support application functionality.
• Performance Optimization:
• Identify and address performance bottlenecks, ensuring optimal system response times and resource utilization.
• Implement caching strategies and other performance optimization techniques.
• Collaboration:
• Collaborate with frontend developers, product managers, and other stakeholders to integrate frontend and backend components seamlessly.
• Participate in code reviews to ensure code quality, adherence to standards, and knowledge sharing within the team.
• Security and Compliance:
• Implement and enforce security best practices to safeguard sensitive data.
• Stay updated on industry trends and emerging technologies to ensure compliance and security standards are met.
• Documentation:
• Create and maintain comprehensive technical documentation for the backend architecture, APIs, and development processes.
• Continuous Improvement:
• Proactively identify opportunities for process improvement and contribute to the evolution of development methodologies and practices.

Qualifications:

• Overall 10+ years of experience, with 2+ years as a Software Architect with a focus on backend development using Ruby on Rails.
• In-depth knowledge of Ruby on Rails framework, database design, and API development.
• Strong understanding of software architecture principles, design patterns, and best practices.
• Experience with performance optimization, scalability, and security considerations.
• Excellent communication and collaboration skills.
• Leadership experience with a demonstrated ability to mentor and guide development teams.
• Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent work experience).

Bonus points:

• Familiarity with front-end technologies and frameworks(ReactJs).
• Experience with other programming languages.(Kotlin/Python)
• Experience with cloud platforms and microservices architecture.
• Knowledge of DevOps practices and tools.(AWS, Kubernetes, )

Join us in revolutionizing the way software solutions are developed, and contribute to building cutting-edge applications that make a positive impact on our users and the industry.

Required Skills:

• 3+ years of experience with development in JAVA technology.
• Strong Java Basics
• SpringBoot or Spring MVC
• Hands-on experience with Relational Databases (SQL query or Hibernate) + Mongo (JSON parsing)
• Proficient in REST API development
• Messaging Queue (RabitMQ or Kafka)
• Microservices
• Any Caching Mechanism
• Good at problem-solving

Good to Have Skills:

• 4+ years of experience in using Java/J2EE tech stacks
• Good understanding of data structures and algorithms.
• Excellent analytical and problem-solving skills.
• Ability to work in a fast-paced internet start-up environment.
• Experience in technical mentorship/coaching is highly desirable.
• Understanding of AI/ML algorithms is a plus.

Must-Have:

• Core Java (Must be good in Core Java concepts, Java programming practices, Clean coding.)
• Spring Framework(Must have working experience in Spring Core)
• Any SQL framework(hands-on working experience in any of these: Hibernate/JPA/MyBatis/Spring Data/Others)
• Hands-on experience in REST API
• Hands-on experienceSQL Database(any of the databases: Oracle/MySQL/PostgreSQL/SQLServer)
• Must have working experience with basic GIT
• Maven or Gradle (Must have working experience in building Java projects using maven or Gradle.)
• Should be able to work independently under someone's guidance.

Good to have:

• Advanced Java(Threading, Performance optimization)
• Spring Boot
• Other Spring frameworks(Spring Security, Spring Batch, Others)
• Microservices - Any NoSQL database(MongoDB, Cassandra, others)
• Application designing concepts.

Responsibilities:

• Build scalable, service oriented web applications from scratch for technology products for European market.
• Maintain these applications for accuracy and high availability.
• Continuously identify opportunities to improve system designs, architecture and implementation standards
• Participate with founding, business and product teams in discussions on how to build and launch new modules.
• Collaborate across functions and own the planning, estimation and execution for parts of the product.
• Start as an individual contributor but stay ready to build and mentor a small team of up to 5 engineers over the coming months and years.
• Contribute in hiring highly ambitious engineers as the team grows.
• Being among the first people on the engineering team, be a culture driver.

Requirements:

• Experience of architecting and building products/business critical backend applications using different MVC frameworks.
• Experience with microservices.
• Experience of building and maintaining scalable applications using Node.js/MEAN stack.
• Experience of deploying and maintaining web applications.
• Experience with non relational databases like MongoDB.
• Understanding of relational databases like MySQL.
• Familiarity with REST APIs and stress testing tools.
• Good communication skills.

• Exposure in building polyglot applications.
• Exposure for devops and related processes, preferably GCP.
• Knowledge of components in scalable solutions i. e. database partitions, message brokers, background processing.
• Exposure to basic frontend technologies to speed up collaboration with the frontend team.

• Set up, manage, automate and deploy AI models in development and production infrastructure.
• Orchestrate life cycle management of AI Models
• Create APIs and help business customers put results of the AI models into operations
• Develop MVP ML learning models and prototype applications applying known AI models and verify the problem/solution fit
• Validate the AI Models
• Make model performant (time and space) based on the business needs
• Perform statistical analysis and fine-tuning using test results
• Train and retrain systems when necessary
• Extend existing ML libraries and frameworks
• Processing, cleansing, and verifying the integrity of data used for analysis 
• Ensuring that algorithms generate accurate user recommendations/insights/outputs
• Keep abreast with the latest AI tools relevant to our business domain

• Bachelor’s or master's degree in Computer Science, Statistics or related field 
• A Master’s degree in data analytics, or similar will be advantageous.
• 3 - 5 years of relevant experience in deploying AI models to production
• Understanding of data structures, data modeling, and software architecture
• Good knowledge of math, probability, statistics, and algorithms
• Ability to write robust code in Python/ R
• Proficiency in using query languages, such as SQL
• Familiarity with machine learning frameworks such as PyTorch, Tensorflow and libraries such as scikit-learn
• Worked with well know machine learning models ( SVM, clustering techniques, forecasting models, Random Forest, etc.)
• Having knowledge in CI/CD for the building and hosting the solutions
• We don’t expect you to be an expert or an AI researcher, but you must be able to take existing models and best practices and adapt them to our environment.
• Adherence to compliance procedures in accordance with regulatory standards, requirements, and policies. 
• Ability to work effectively and independently in a fast-paced agile environment with tight deadlines 
• A flexible, pragmatic, and collaborative team player with an innate ability to engage with data architects, analysts, and scientists.