Senior Backend Engineer

Roles & Responsibilities

• Data Engineering Excellence: Design and implement data pipelines using formats like JSON, Parquet, CSV, and ORC, utilizing batch and streaming ingestion.
• Cloud Data Migration Leadership: Lead cloud migration projects, developing scalable Spark pipelines.
• Medallion Architecture: Implement Bronze, Silver, and gold tables for scalable data systems.
• Spark Code Optimization: Optimize Spark code to ensure efficient cloud migration.
• Data Modeling: Develop and maintain data models with strong governance practices.
• Data Cataloging & Quality: Implement cataloging strategies with Unity Catalog to maintain high-quality data.
• Delta Live Table Leadership: Lead the design and implementation of Delta Live Tables (DLT) pipelines for secure, tamper-resistant data management.
• Customer Collaboration: Collaborate with clients to optimize cloud migrations and ensure best practices in design and governance.

Educational Qualifications

• Experience: Minimum 5 years of hands-on experience in data engineering, with a proven track record in complex pipeline development and cloud-based data migration projects.
• Education: Bachelor’s or higher degree in Computer Science, Data Engineering, or a related field.
• Skills
• Must-have: Proficiency in Spark, SQL, Python, and other relevant data processing technologies. Strong knowledge of Databricks and its components, including Delta Live Table (DLT) pipeline implementations. Expertise in on-premises to cloud Spark code optimization and Medallion Architecture.

Good to Have

• Familiarity with AWS services (experience with additional cloud platforms like GCP or Azure is a plus).

Soft Skills

• Excellent communication and collaboration skills, with the ability to work effectively with clients and internal teams.
• Certifications
• AWS/GCP/Azure Data Engineer Certification.

Strong Full stack/Backend engineer profile

Mandatory (Experience): Must have 2+ years of hands-on experience as a full stack developer (backend-heavy)

Mandatory (Backend Skills): Must have 1.5+ strong experience in Python, building REST APIs, and microservices-based architectures

Mandatory (Frontend Skills): Must have hands-on experience with modern frontend frameworks (React or Vue) and JavaScript, HTML, and CSS

Mandatory (Database Skills): Must have solid experience working with relational and NoSQL databases such as MySQL, MongoDB, and Redis

Mandatory (Cloud & Infra): Must have hands-on experience with AWS services including EC2, ELB, AutoScaling, S3, RDS, CloudFront, and SNS

Mandatory (DevOps & Infra): Must have working experience with Linux environments, Apache, CI/CD pipelines, and application monitoring

Mandatory (CS Fundamentals): Must have strong fundamentals in Data Structures, Algorithms, OS concepts, and system design

Mandatory (Company) : Product companies (B2B SaaS preferred)

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.

Hands on experience in Python in 2.x and 3.x versions

• Developed and deployed services in AWS serverless Architecture
• Developed REST API’s using serverless framework, AWS Lambda, API Gateway
• Developed queue and notification services using AWS components - SQS, SNS
• Implemented authorization and authentication using AWS Cognito pool
• Developed Facial recognition systems using AWS Rekognition
• Hands on experience in Flask, Tornado, Quartz framework
• Hands on experience in designing and working on MicroService & Monolithic architecture
• Basic understanding of front-end technologies HTML, CSS, JavaScript, jQuery

Mongo dB experience is must

Position: Backend Developer 1 / Backend Engineer:

Location: Bangalore

Experience:  .5 to 4 years, preferably in an agile environment

Strong Knowledge Node.js and MongoDB
Good Knowledge on Flask, SQL and other databases
Good Knowledge on Deployment Process (Nginix, Docker, AWS, Digital Ocean)
Basic Knowledge on Python

• Experience in at least one of the frameworks   YII / Codeigniter
• Experience in Laravel(Mandatory)
• Good experience in JS, JQuery, AJAX, Angular JS
• Good experience in Html, CSS, Responsive Design.
• Ability to write and consume web services and REST services.
• Knowledge on Developing APIs for Mobile Applications
• Should have excellent communication skill and technical skill
• Extensive OOD (Object-oriented design) / OOP (Object-oriented programming) experience.
• Good knowledge of relational databases (MySQL), version control tools and of developing web services
• Should have good understanding skill and ability to work independently or within a team and lead a team.
• Passion for best design and coding practices and a desire to develop new bold ideas.
• Knowledge of and experience applying design patterns andimplementing industry best practices required.

Good to Have Skills:

• Knowledge on Server Maintenance
• Knowledge on Amazon AWS

• If you fit the above criteria, send your latest resume along with following information duly filled to us immed at appleinformatics(at)yahoo.com   

  1. Total Experience:
  2. Relevant Experience:
  3. Current Job location:
  4. Notice Period:
  5. Reason for change:
  6. Current CTC:
  7. Expected CTC:

           Can join earliest by:

   

   

MoEngage is a fast-paced startup that’s helping companies run smart marketing efforts in their effort to reach the customer. We are a leading Marketing Technology Stack provider that is helping brands redefine their customer engagement in the mobile era. Brands use MoEngage to drive long-term, personalised and context-based engagement across channels to help achieve increased customer retention as well as customer LTV. Sitting at a conflux of diverse technologies like Artificial Intelligence, Big Data, Web & Mobile platforms, MoEngage technology analyses billions of data points generated by customers and their devices, to predict customer behavior and build marketing campaigns that proactively engage users.

In just four years since inception, MoEngage is working with leading brands across e-commerce, entertainment, travel, publishing and banking domains among others. With marquee clients like Vodafone, Oyo, Airtel, McAfee, MoEngage has over 125+ paying Customers in the Enterprise & Internet companies space in India, US, South East Asia & EU. With a global presence spanning 35 countries, MoEngage has offices in San Francisco, Berlin, Jakarta, and Bengaluru.

Today, MoEngage is an industry pioneer in the space and engages more than 350M devices. This includes approximately 40B events tracked per month, 30B+ messages sent, to millions of users across the globe.

As part of the Engineering team at MoEngage, here are some things you can expect:

• Take ownership and be responsible for what you build - no micro management
• Work with A players (some of the best talent in the country), and expedite your learning curve and career growth
• Make in India and build for the world at scale of 350M active users, which no other internet company in the country has seen
• Learn together from different teams on how they scale to millions of users and billions of messages. 
• Explore the latest in topics like Data Pipeline, MongoDB, ElasticSearch, Kafka, Spark, Samza and share with the team 

and more importantly have fun while you work on scaling MoEngage.

Push team is one of the core teams at MoEngage, responsible for sending close to a billion notifications everyday to help clients engage their users better. As a member of the Push team, you will be working on developing high performance solutions to deliver personalised and context-based notifications across various channels to help achieve increased customer retention as well as customer LTV. You will also be working on designing and building features to help clients to provide customised experience for end users allowing them to have a more personalised experience at scale. Here you will have a chance to own systems and develop features end to end i.e right from inception to deployment. Though we work at scale, reliability is of utmost importance for us and we build in house solutions like Campaign Watcher & AutoBatchRunner to ensure 100% transparency and delivery of notifications

• Proven experience in handling large infrastructure and distributed systems
• Familiarity with Python related technologies and frameworks like Django or Pyramid.
• Familiarity with at least one of the cloud computing infrastructure - GCP / Azure / AWS
• Familiarity with task queue frameworks like Celery or Pika is a plus.
• Tech Stack - Python, Falcon, Elastic Search, MongoDB, AWS (SQS S3), Linux, Map Reduce