Fullstack Software Engineer

Job Description

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 Hollywoods 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, youll shape

core infrastructure, set best practices, communicate with stakeholders and mentor your

peers.

Key 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.

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