Node JS Developer

Backend Developers

• Contract To Hire (Initial Engagement: 6 months)

Experience: 5+ years

Mandatory Skills:

● Node.js

● Python

● MongoDB

● PostgreSQL

● REST API design and development

● Backend architecture and service design

● Database design, indexing and query optimisation

● Performance tuning

● Authentication/authorisation

● Third-party integrations

● Asynchronous processing and background jobs

● Logging, monitoring and debugging

● Git and collaborative development

● Scalable, maintainable and testable backend services

● Architecture discussions, code reviews, debugging and production support

Good to have:

● Microservices

● Docker

● Cloud platforms

● Redis

● Message queues

● CI/CD

● Observability

Role overview

The client is building a multimodal AI platform that processes multi-hour video, audio and text to generate structured insights, narratives and highlight workflows for broadcasters and media organisations.

We are seeking a Backend / Platform Engineer to design and build high-throughput media pipelines, robust APIs, and model-serving infrastructure that connect our AI engine (video perception + multimodal reasoning) to real products and customer environments.

This is not a CRUD‑only backend role.

You will work on:

• long‑running jobs
• distributed processing
• GPU inference orchestration
• storage for embeddings and metadata
• integration with AI models
• reliability and observability at scale

Key responsibilities

Media ingestion & processing pipelines

• Design and implement ingestion pipelines for multi‑hour video and audio content.
• Build microservices for frame extraction, audio processing, transcription integration and metadata generation.
• Handle long‑running, asynchronous jobs using queues, workers and robust retry strategies.
• Integrate with FFmpeg or similar tools for transcoding, segmenting and preparing media for AI models.

API & platform architecture

• Design and implement REST/gRPC APIs that expose AI model outputs (perception, multimodal alignment, narratives) to frontend and external systems.
• Define clear contracts for internal services and external integrations.
• Implement authentication, authorisation and rate‑limiting for platform endpoints.
• Ensure backward‑compatible API evolution as the product matures.

Model‑serving & AI integration

• Integrate with AI inference services (video models, multimodal models, LLM/VLM) running on GPUs or specialised infrastructure.
• Design request/response flows that handle large payloads, streaming outputs and structured results.
• Optimise throughput and latency for inference pipelines, including batching, caching and concurrency control.
• Collaborate closely with AI engineers to productionise models and debug end‑to‑end behaviour.

Storage, data models & performance

• Design data models to store embeddings, timelines, metadata, scene/shot boundaries, and narrative units.
• Work with appropriate storage technologies (SQL/NoSQL, object storage, search indices) based on access patterns.
• Implement indexing and query strategies for fast retrieval of segments, highlights and multimodal insights.
• Optimise performance for large datasets and high‑volume workloads.

Reliability, observability & operations

• Implement logging, metrics and tracing across services for debugging and monitoring.
• Set up health checks, circuit breakers and graceful degradation for critical services.
• Work with CI/CD pipelines to ensure safe, repeatable deployments.
• Collaborate on Kubernetes‑based deployments (or equivalent orchestration) for scaling services.

Requirements (must‑have)

Experience:

• 4–8 years in backend or platform engineering.
• At least 3 years working on distributed systems, high‑throughput services or complex pipelines (not just simple CRUD apps).

Languages & frameworks:

• Strong proficiency in Python or Node.js (one primary, both are a plus).
• Experience with at least one modern backend framework (FastAPI, Flask, Express, NestJS, etc.).

Distributed systems & pipelines:

• Hands‑on experience with queues and workers (e.g. Celery, RabbitMQ, Kafka, SQS, etc.).
• Experience building asynchronous, long‑running job pipelines.
• Understanding of idempotency, retries, backoff, and failure handling.

APIs & integration:

• Strong experience designing and implementing REST APIs (gRPC is a plus).
• Experience integrating with external services and handling network‑level failures.

Cloud & infrastructure:

• Experience deploying services on AWS, GCP or Azure (EC2/Compute Engine, S3/GCS, IAM, networking basics).
• Experience with Docker; exposure to Kubernetes is a strong plus.

Data & storage:

• Experience with SQL and at least one NoSQL store.
• Ability to design schemas and data models for performance and maintainability.

Engineering quality:

• Strong debugging skills across services and environments.
• Experience with unit/integration tests for backend systems.
• Clear, structured communication in English.

Nice‑to‑have

• Experience with media/video processing (FFmpeg, transcoding, segmenting).
• Experience with AI/ML model integration (serving models, handling inference requests).
• Experience with search/retrieval systems (e.g. Elasticsearch, vector databases).
• Experience with observability stacks (Prometheus, Grafana, OpenTelemetry).
• Experience working with remote teams across time zones.

What we are explicitly NOT looking for

To reduce noise and mismatches, we are not looking for:

• Pure CRUD‑only backend developers with no pipeline or distributed systems experience.
• Engineers who have only worked on small, single‑service apps without scale or complexity.
• Candidates who cannot explain trade‑offs in architecture, data modelling and reliability.
• Candidates who are uncomfortable with ownership of subsystems end‑to‑end.

Why join us

• Work on real, complex problems at the intersection of media, AI and distributed systems.
• Collaborate with senior AI engineers working on perception, multimodal fusion and narrative reasoning.
• Build the core platform that turns AI models into a usable product for broadcasters and media organisations.
• Operate with high ownership, clear expectations and direct access to the CTO.

JioTesseract, a digital arm of Reliance Industries, is India's leading and largest AR/VR organization with the mission to democratize mixed reality for India and the world. We make products at the cross of hardware, software, content and services with focus on making India the leader in spatial computing. We specialize in creating solutions in AR, VR and AI, with some of our notable products such as JioGlass, JioDive, 360 Streaming, Metaverse, AR/VR headsets for consumers and enterprise space.

About the Job

As a Cloud Backend Engineer you will design, develop, and maintain scalable and reliable backend systems in cloud environments. You will be responsible for building cloud-native applications, optimizing backend performance, and ensuring seamless integration with frontend services and third-party systems.

What You’ll Be Doing

• Backend Development
• Design and implement scalable and high-performance backend services and APIs for cloud-based applications.
• Develop microservices architectures and serverless functions to support business needs.
• Ensure backend systems are secure, reliable, and performant, adhering to best practices and industry standards.
• Cloud Infrastructure and Deployment
• Build and manage cloud infrastructure using platforms such as AWS, Google Cloud Platform (GCP), or Azure.
• Deploy and maintain backend services using cloud-native technologies (e.g., Kubernetes, Docker, AWS Lambda, Google Cloud Functions).
• Implement and manage CI/CD pipelines to automate deployment processes and ensure smooth delivery of updates.
• Performance Optimization
• Monitor and optimize the performance of backend services, including database queries, API responses, and system throughput.
• Implement caching strategies, load balancing, and other performance-enhancing techniques to ensure scalability and responsiveness.
• Troubleshoot and resolve performance issues and system bottlenecks.
• Database Management
• Design and manage relational and NoSQL databases, ensuring data integrity, scalability, and performance.
• Implement data access patterns and optimize queries for efficient data retrieval and storage.
• Ensure backup, recovery, and data security practices are in place.
• Integration and Collaboration
• Collaborate with frontend developers, DevOps engineers, and other stakeholders to integrate backend services with frontend applications and third-party systems.
• Participate in architectural discussions and provide input on system design and technology choices.
• Ensure clear communication and documentation of backend services, APIs, and system interactions.
• Security and Compliance
• Implement security best practices to protect backend services from threats and vulnerabilities.
• Ensure compliance with relevant regulations and standards, including data privacy and protection requirements.
• Conduct regular security assessments and vulnerability scans to maintain system integrity.
• Testing and Quality Assurance
• Develop and maintain automated tests for backend services, including unit tests, integration tests, and end-to-end tests.
• Perform code reviews and participate in quality assurance processes to ensure high code quality and reliability.
• Monitor and address issues identified during testing and production deployments.
• Documentation and Knowledge Sharing
• Document backend services, APIs, and infrastructure setups to facilitate knowledge sharing and support.
• Create and maintain technical documentation, including architecture diagrams, API specifications, and deployment guides.
• Share knowledge and best practices with team members and contribute to a collaborative development environment.

What We Need To See

• Strong experience in backend development, cloud technologies, and distributed systems, with a focus on building robust, high-performance solutions.
• Minimum 5 years of experience in backend development, with a strong focus on cloud-based applications.
• Proven experience with cloud platforms (AWS, GCP, Azure) and cloud-native technologies.
• Experience in designing and implementing RESTful APIs, microservices, and serverless architectures.
• Technical Expertise in:

1. Backend Development

• Strong experience with backend programming languages such as Node.js, Python
• Expertise in working with frameworks such as NestJS, Express.js, or Django.

2. Microservices Architecture

• Experience designing and implementing microservices architectures.
• Knowledge of service discovery, API gateways, and distributed tracing.

3. API Development

• Proficiency in designing, building, and maintaining RESTful and GraphQL APIs.
• Experience with API security, rate limiting, and authentication mechanisms (e.g., JWT, OAuth).

4. Database Management

• Strong knowledge of relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g. MongoDB).
• Experience in database schema design, optimization, and management. 

5. Cloud Services

• Hands-on experience with cloud platforms such as Azure,AWS or Google Cloud.

6. Performance Optimization

• Experience with performance tuning and optimization of backend services.

7. Security

• Understanding of security best practices and experience implementing secure coding practices.
• Soft Skills:
• Strong problem-solving skills and attention to detail.
• Excellent communication and collaboration skills, with the ability to work effectively in a team environment.
• Ability to manage multiple priorities and work in a fast-paced, dynamic environment.

JOB RESPONSIBILITIES (About 10 - 11 years and at least 9 years relevant experience)

Develop Java webservices and components according to a detailed design document.

Build efficient, reusable and reliable Java code per industry best practices.

Follow TDD approach and ensure unit-test coverage meets quality requirements.

Develop Integration tests to ensure coding adheres to acceptance criteria and verify end-to-end behavior of the system.

Ensure best possible performance, quality and responsiveness of applications.

EXPERIENCE / SKILLS

Must have experience developing in Java latest version (least version is 8)

Must have experience in design and development using Micro service architecture

Solid knowledge in OOP concepts, and design principles/patterns for developing scalable applications

Must have experience developing Spring Boot applications

Must have experience developing database access layer using Spring Data JPA/Hibernates

Must have experience in developing REST Services using Spring

Good working experience in development of event driven systems using any framework

Must have experience with any RDBMS and at least one NoSQL database preferably PostgresSQL and Mongo DB

Must have experience writing unit and integration tests using Junit

Must have experience using mock frameworks like Mockito, WireMock

Must have experience using Git

Must have experience with CI / CD

Basic hands-on experience in one of the cloud provider (AWS/Azure) or at least docker and Kubernetes

Familiarity with build tools Maven or Gradle

Added advantage with experience of Reactive and Functional Programming

• Developing and maintaining all server-side network components.
• Ensuring optimal performance of the central database and responsiveness to front-end requests.
• Collaborating with front-end developers on the integration of elements.
• Designing customer-facing UI and back-end services for various business processes.
• Developing high-performance applications by writing testable, reusable, and efficient code.
• Implementing effective security protocols, data protection measures, and storage solutions.
• Running diagnostic tests, repairing defects, and providing technical support.
• Documenting Node.js processes, including database schemas, as well as preparing reports.
• Recommending and implementing improvements to processes and technologies.
• Keeping informed of advancements in the field of Node.js development.

Node.js Developer Requirements:

• Bachelor's degree in computer science, information science, or similar.
• At least two years' experience as a Node.js developer.
• Extensive knowledge of JavaScript, web stacks, libraries, and frameworks.

Tech9 India is looking for a mid-senior software engineer who is an expert with Nodejs and MongoDB.  This is a great opportunity to work with a company that has a primary focus of making our customers happy by delivering value, without all the burdensome policies and rules that have become typical for outsourced software development companies.

If you are looking for a change this is what we can promise you:

• You will have challenging problems to solve
• You will have flexibility and autonomy to solve problems and deliver solutions
• We will provide a highly collaborative environment with skilled and super friendly teammates
• We will fully support you in developing software the right way
• We won't burden you with useless policies and procedures
• We will provide you the tools you need to do your job right

If this sounds attractive please apply! We'd love to talk to you!

Responsibilities:

• Work with cross-functional teams, using agile practices, write, debug and deliver code
• Produce solid, thoroughly tested features

Requirements:

• Mid level roles require at least 3 years of experience in Nodejs senior roles require at least 4 years of experience with Node.
• At least 3 years of experience developing in HTML and CSS
• Strong verbal and written communication skills
• Experience working with product managers and scrum teams to effectively translate business requirements into workflows 
• Demonstrated ability to remove problems and overcome roadblocks
• Cloud platform experience 
• Hands-on experience with APIs, microservices
• Multiple years of experience delivery solutions through an Agile delivery methodology
• Ability to understand complex systems and solve challenging analytical problems
• Ability to leverage multiple tools and programming languages to analyze and manipulate data sets from disparate data sources
• Strong problem solving skills and critical thinking ability