Backend Developer

Company: BigThinkCode Technologies

URL: https://www.bigthinkcode.com/

Experience required: 3-4 years

Work location: Chennai

Joining time: Immediate – 2 weeks

Work Mode: Work from office / Hybrid

About the Role

We're looking for a skilled Node.js Developer with 3+ years of experience building scalable applications using event-driven architecture within distributed systems. The ideal candidate is comfortable working on high-performance backend services and has a strong understanding of asynchronous programming patterns. Exposure to knowledge embedding and vectorization techniques is a strong plus, especially for modern data-driven or AI-powered systems.

Key Responsibilities

• Design, develop, and maintain server-side applications using Node.js
• Build and optimize scalable, event-driven systems in distributed environments
• Implement asynchronous workflows, message queues, and pub/sub architectures
• Collaborate with cross-functional teams to define and deliver backend solutions

Required Skills

• 3+ years of hands-on experience with Node.js
• Strong understanding of event-driven architecture and non-blocking I/O
• Experience working with distributed systems and microservices architecture
• Proficiency in RESTful API design and implementation
• Experience with databases such as MongoDB, PostgreSQL, or MySQL
• Experience with containerization tools like Docker and orchestration tools like Kubernetes

Good to Have

• Experience with knowledge embedding and vectorization techniques
• Familiarity with vector databases (e.g., Pinecone, Weaviate, FAISS)
• Understanding of cloud platforms (AWS, Azure, or GCP)

Why Join Us:

• Collaborative work environment.
• Exposure to modern tools and scalable application architectures.
• Medical cover for employee and eligible dependents.
• Tax beneficial salary structure.
• Comprehensive leave policy
• Competency development training programs.

Backend Engineer – Java/Spring – Bangalore

 Job Title: Backend Engineer (Java)

 Experience: 7 - 10 years

 Location: Bangalore

 Employment Type: Full Time with Arcis E Services

About the Role

 Looking for a backend engineer with strong Java and Spring expertise to build scalable microservices and backend systems.

 Key Responsibilities

• Develop microservices using Java, Spring Boot, Spring Core, Hibernate.

• Design REST APIs, authentication, and backend architecture.

• Work with SQL/NoSQL databases and optimize queries.

 • Collaborate with frontend and QA for seamless integrations.

• Participate in code reviews, refactoring, and performance optimization.

 Required Skills

 • J2EE, Spring Boot, Hibernate.

• RESTful services, JSON/XML.

• SQL (MySQL/PostgreSQL) and NoSQL fundamentals.

• Familiarity with Docker/Kubernetes is a plus.

Experience

9–18 Years

Education

IIT / NIT graduates only

Interview Process

Candidates must be available for a Face-to-Face interview in Bangalore or Mumbai.

Key Responsibilities

• Design and develop scalable, high-performance Java applications.
• Lead a team of engineers and drive technical excellence.
• Architect enterprise-grade solutions and provide technical guidance.
• Collaborate with cross-functional teams to define, design, and deliver high-quality software.
• Review code, mentor team members, and ensure engineering best practices.
• Drive system design discussions and resolve complex technical challenges.

Required Skills

• Strong expertise in Core Java and Java ecosystem.
• Excellent problem-solving and analytical skills.
• Very strong coding ability with clean coding practices.
• Strong understanding of System Design and distributed systems.
• Hands-on experience in Java Architecture and designing scalable applications.
• Experience leading engineering teams and mentoring developers.
• Good understanding of software design principles, design patterns, and performance optimization.
• Strong communication and stakeholder management skills.

Preferred Skills

• Experience with Spring Boot, Microservices, REST APIs, and cloud technologies.
• Exposure to CI/CD, containerization, and modern DevOps practices is an advantage.

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.

Brief:

We are pursuing a complex set of problems that involve building for an international audience and for an industry that has largely been service-centric. As an SDE at GradRight, you’ll bring an unmatched customer-centricity to your work, with a focus on building for the long term and large scale.

You’ll contribute to frameworks that enable flexible/scalable customer journeys and tying them with institutional knowledge to help us build the best experiences for students and our partners.

Responsibilities:

1. Contribute to design discussions and decisions around building scalable and modular architecture
2. Build clean, modular and scalable backend services
3. Participate in sprint ceremonies and actively contribute to scaling the engineering organization from a process perspective
4. Stay on top of the software engineering ecosystem and propose new technologies/methodologies that can be adopted
5. Contribute to engineering hiring by conducting interviews
6. Champion infrastructure as code mindset and encourage automation
7. Manage and mentor a small team of junior engineers

Requirements:

1. At least 4 years experience as an SDE, building large scale services
2. Extensive experience in at least one programming language and ability to write maintainable, scalable and unit-testable code
3. Strong understanding of software design principles and patterns
4. Excellent command over data structures and algorithms
5. Passion for solving complex problems
6. Good understanding of various database technologies with strong opinions around their use cases
7. Experience with performance monitoring and scaling backend services
8. Experience with microservices and distributed systems in general
9. Experience with team management
10. Excellent written and verbal communication skills

Good to have:

1. Experience working with node.js, MongoDB and Google Cloud
2. Experience in CI/CD and cloud infrastructure management
3. Worked on products that addressed an international audience
4. Worked on products that scaled to millions of users

Responsibilities:

- Collaborate with cross-functional teams including front-end developers, designers, and system administrators to develop robust and scalable server-side applications.

- Design and implement RESTful APIs and services using Node.js, ensuring efficient data handling and integration.

- Develop database schemas and models for MongoDB, optimizing queries and ensuring data integrity.

- Implement data migration and transformation tasks between different data sources.

- Write efficient and reusable code, following best practices and coding standards.

- Conduct thorough testing and debugging of applications to identify and fix issues promptly.

- Collaborate with DevOps team to deploy applications on servers or cloud platforms.

- Continuously monitor application performance and optimize it for scalability and reliability.

- Stay updated on emerging technologies and trends, actively suggesting improvements and innovative solutions.

Requirements:

- Strong proficiency in Node.js and JavaScript.

- Solid understanding of server-side development and asynchronous programming concepts.

- Experience working with NoSQL databases (e.g., MongoDB).

- Knowledge of database design and query optimization techniques.

- Familiarity with web application security principles and best practices.

- Proficiency in using version control systems (e.g., Git).

- Good understanding of agile development methodologies.

- Excellent problem-solving and analytical skills.

- Effective communication and collaboration abilities.

We are seeking talented, motivated engineers who will be part of a dynamic global team delivering and supporting technology infrastructure to meet the growth needs of the business. 

As a Product Support Engineer, you will collaborate with the Engineering, Product and Support teams to ensure the designed product and service is fully operational with streamlined processes and procedures for addressing reported bugs and anomalies. Production Support Engineers will take ownership of resolving product issues through its life cycle and communication to multiple stakeholders. 

This is a programming role which requires a good understanding of Java along with solid debugging skills so complex workflows can be debugged and solved. You will own the code you push to production

To be successful, you must be an excellent team player and self motivated person who can carry out duties with minimal supervision.

Skills you need to have:

• A good understanding of SQL

• An understanding of Java and Java design patterns

• L4 support

• Good debugging and problem solving skills

• Excellent communication

Bonus Skills:

• An understanding of SpringBoot and ORM's