Fullstack Software Engineer

DNEG; Bengaluru; On-site; INR 1,200,000 - 2,000,000; Full time

Job summary

A leading media and technology company in Bengaluru is seeking a Fullstack Software Engineer to develop scalable backend systems and high-performance APIs for generative AI applications. This role requires strong backend experience, server-side programming skills, and familiarity with cloud technologies. The ideal candidate has 5+ years of software development experience and a solid understanding of modern web frameworks. Join a dynamic team shaping the future of AI in media.

Qualifications

• 5+ years of experience in fullstack software development.
• Strong expertise in server-side programming languages (Python).
• Proven experience designing and implementing RESTful APIs.

Responsibilities

• Design and implement scalable backend architectures for AI-powered tools.
• Build high-performance APIs that handle generative AI processing.
• Develop robust data pipelines for large-scale media content.

Skills

Fullstack software development

Server-side programming (Python)

RESTful APIs and microservices

Modern JavaScript/TypeScript

Database design (PostgreSQL, Neo4j, Redis)

Cloud platforms (AWS, GCP, Azure)

Docker and Kubernetes

Distributed systems

CI/CD pipelines

Responsive design

Job description

Overview

Join to apply for the Fullstack Software Engineer (Brahma) role at DNEG

Brahma is a pioneering enterprise AI company developing Astras, AI-native products built to help enterprises and creators innovate at scale. Brahma enables teams to break creative bottlenecks, accelerate storytelling, and deliver standout content with speed and efficiency. Part of the DNEG Group, Brahma brings together Hollywood’s leading creative technologists, innovators in AI and Generative AI, and thought leaders in the ethical creation of AI content.

Job Description

We are looking for a Fullstack Software Engineer to join our team and help build robust, scalable systems that bring our state-of-the-art generative AI systems to the wider audience. This fullstack role has a strong backend emphasis, requiring deep experience in server-side architecture, API design, distributed systems, and frontend frameworks, along with a solid engineering mindset and the ability to work cross-functionally with ML engineers, product, research, and creative teams. As a member of our fullstack engineering team, you’ll shape core infrastructure, set best practices, communicate with stakeholders and mentor your peers.

Responsibilities

• Design and implement scalable backend architectures for AI-powered creative tools and workflows.
• Build high-performance APIs and microservices that handle generative AI inference/training and video/audio processing.
• Design and implement user interfaces that make complex generative AI capabilities intuitive and accessible.
• Develop robust data pipelines for ingesting, processing, and storing large-scale media content.
• Design and maintain database schemas, caching layers, and data storage solutions for multimedia content.
• Build authentication, authorisation, and security systems for enterprise-grade applications.
• Optimise backend performance for low-latency AI inference and high-throughput media processing.
• Integrate backend systems with ML training and inference pipelines.
• Implement monitoring, logging, and alerting systems for production backend services.
• Collaborate with ML engineers to optimise model serving and deployment infrastructure.

Must Haves

• 5+ years of experience in fullstack software development.
• Strong expertise in server-side programming languages (we use Python).
• Proven experience designing and implementing RESTful APIs and microservices architectures.
• Proficiency in modern JavaScript/TypeScript and at least one major frontend framework (React, Vue.js, or Angular).
• Deep understanding of database design, optimisation, and management (PostgreSQL, Neo4j, Redis).
• Experience with cloud platforms (AWS, GCP, Azure) and infrastructure as code (Terraform).
• Proficiency with containerisation and orchestration technologies (Docker, Kubernetes).
• Strong knowledge of distributed systems, message queues, and event-driven architectures.
• Experience with high-performance computing, parallel processing, and optimisation techniques.
• Familiarity with CI/CD pipelines, automated testing, and DevOps practices.
• Understanding of system design principles, scalability, and performance optimisation.
• Experience with caching strategies, load balancing, and CDN implementation.
• Experience with CSS frameworks and responsive design.
• Strong problem-solving skills and attention to detail.

Nice to Have

• Experience with ML and/or computer vision frameworks like PyTorch, Numpy or OpenCV.
• Knowledge of ML model serving infrastructure (TensorFlow Serving, TorchServe, MLflow).
• Knowledge of WebGL, Canvas API, or other graphics programming technologies.
• Familiarity with big data technologies (Kafka, Spark, Hadoop) and data engineering practices.
• Background in computer graphics, media processing, or VFX pipeline development.
• Experience with performance profiling, system monitoring, and observability tools.
• Understanding of network protocols, security best practices, and compliance requirements.
• Open-source contributions or technical writing experience.
• Entrepreneurial mindset or experience working with startups or fast-paced teams.

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Engineering and Information Technology

Industries

• Animation and Post-production and Movies, Videos, and Sound

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