Perl Developer

Backend Engineer (MongoDB / API Integrations / AWS / Vectorization)

Position Summary

We are hiring a Backend Engineer with expertise in MongoDB, data vectorization, and advanced AI/LLM integrations. The ideal candidate will have hands-on experience developing backend systems that power intelligent data-driven applications, including robust API integrations with major social media platforms (Meta, Instagram, Facebook, with expansion to TikTok, Snapchat, etc.). In addition, this role requires deep AWS experience (Lambda, S3, EventBridge) to manage serverless workflows, automate cron jobs, and execute both scheduled and manual data pulls. You will collaborate closely with frontend developers and AI engineers to deliver scalable, resilient APIs that power our platform.

Key Responsibilities

• Design, implement, and maintain backend services with MongoDB and scalable data models.
• Build pipelines to vectorize data for retrieval-augmented generation (RAG) and other AI-driven features.
• Develop robust API integrations with major social platforms (Meta, Instagram Graph API, Facebook API; expand to TikTok, Snapchat, etc.).
• Implement and maintain AWS Lambda serverless functions for scalable backend processes.
• Use AWS EventBridge to schedule cron jobs and manage event-driven workflows.
• Leverage AWS S3 for structured and unstructured data storage, retrieval, and processing.
• Build workflows for manual and automated data pulls from external APIs.
• Optimize backend systems for performance, scalability, and reliability at high data volumes.
• Collaborate with frontend engineers to ensure smooth integration into Next.js applications.
• Ensure security, compliance, and best practices in API authentication (OAuth, tokens, etc.).
• Contribute to architecture planning, documentation, and system design reviews.

Required Skills/Qualifications

• Strong expertise with MongoDB (including Atlas) and schema design.
• Experience with data vectorization and embeddings (OpenAI, Pinecone, MongoDB Atlas Vector Search, etc.).
• Proven track record of social media API integrations (Meta, Instagram, Facebook; additional platforms a plus).
• Proficiency in Node.js, Python, or other backend languages for API development.
• Deep understanding of AWS services:
• Lambda for serverless functions.
• S3 for structured/unstructured data storage.
• EventBridge for cron jobs, scheduled tasks, and event-driven workflows.
• Strong understanding of REST and GraphQL API design.
• Experience with data optimization, caching, and large-scale API performance.

Preferred Skills/Experience

• Experience with real-time data pipelines (Kafka, Kinesis, or similar).
• Familiarity with CI/CD pipelines and automated deployments on AWS.
• Knowledge of serverless architecture best practices.
• Background in SaaS platform development or data analytics systems.

Azure DE

Primary Responsibilities -

• Create and maintain data storage solutions including Azure SQL Database, Azure Data Lake, and Azure Blob Storage.
• Design, implement, and maintain data pipelines for data ingestion, processing, and transformation in Azure Create data models for analytics purposes
• Utilizing Azure Data Factory or comparable technologies, create and maintain ETL (Extract, Transform, Load) operations
• Use Azure Data Factory and Databricks to assemble large, complex data sets
• Implementing data validation and cleansing procedures will ensure the quality, integrity, and dependability of the data.
• Ensure data security and compliance
• Collaborate with data engineers, and other stakeholders to understand requirements and translate them into scalable and reliable data platform architectures

Required skills:

• Blend of technical expertise, analytical problem-solving, and collaboration with cross-functional teams
• Azure DevOps
• Apache Spark, Python
• SQL proficiency
• Azure Databricks knowledge
• Big data technologies

The DEs should be well versed in coding, spark core and data ingestion using Azure. Moreover, they need to be decent in terms of communication skills. They should also have core Azure DE skills and coding skills (pyspark, python and SQL).

Out of the 7 open demands, 5 of The Azure Data Engineers should have minimum 5 years of relevant Data Engineering experience.

• 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.

Requirements:

• Retrieve Data from Databases

SSRS developers optimize SQL server queries to retrieve data efficiently and quickly. As

teams submit requests for different ways of doing things, SSRS developers work with them to find solutions that meet their needs.

• Design Data Solutions

To create and design best-practice data warehouse solutions that support business reporting tasks. This is achieved using different programs and software, such as Microsoft Excel, MS SQL Server, and Tableau.

• Create and Maintain Reporting Processes

To maintain a record of the different reporting processes in place. Evolve ways & means for a more effective data management.

• Resolve IT and Data Issues
• Provide Delivery Plans and Estimates for Projects

Eximius is a micro-VC fund which invests into early-stage startups. One of our portfolio startup iTribe is looking for "Hustlers", "First Principle Thinkers", "Crazy and trips on creating products out of the box from scratch", "Outspoken", "unafraid of users ripping your product".

About iTribe: 
iTribe is on a mission to make discussing finance from being a taboo topic to a dinner table topic, which means making "Bharat" financially literate and independent. iTribe is a social network which allows anyone to discover, discuss, vet ideas and seek advice from like-minded iTribe aims at making Finance simple, witty and fun for everyone

Founded in 2021 by IIT Kharagpur alumni to convert their own journey of becoming investors into a product to help billion users. An emerging startup backed by some of the most respected investors around the world.

Responsibilities

• Craft clean, manageable code, maintain proper documentation and code integrity
• Maintain quality and ensure 100% uptime
• Create, test and deploy the applications on production servers
• Continuously discover, evaluate, and implement new technologies and frameworks to maximize development efficiency
• Responsible for security and data protection.

• Working alongside Product managers to architect and design new features.
• Collaborate with the rest of the engineering team to launch new features.
• Unblock peers and keep all the internal and external teams informed about the progress of development

Requirements

• 2 - 5 years of experience in designing and developing Server side component (REST APIs, Micro service Architecture)
• Good understanding and strong in data structures and algorithms (Degree in computer science is an added advantage)
• OOP implementation experience with back-end programming languages (Ex: JavaScript, Python, Java, etc).
• Good to have experience with event driven architecture.
• Good understanding of databases such as MongoDB, PostgreSQL, MySQL.
• Well-versed with Software Development Life Cycle
• Demonstrate the ability to be a self-starter, learn and implement new technologies/ frameworks
• Excellent analytical and problem-solving skills

Why you should join iTribe? 

• Building a product which is not done in decades.
• Be a part of the founding team and work directly with the founders.
• Competitive Salary
• ESOPs - ownership in the company
• Medical Insurances
• Subscriptions to premium platforms for learning
• Books that you ask for
• Friendly leave policy