Senior backend engineer Work, Jobs in Berkhamsted, Hrt (with Salaries)

Senior Backend Engineer
BRAHMA —London
- Master's degree
- Machine learning
- APIs
13d
Senior Software Engineer
Equiniti —Woburn
- £115,000 - £130,000 a year
- Full-time
- Computer Science
- Engineering
- English
- Work from home
Senior Engineer
Leisure Employment Services —Hemel Hempstead
- Part-time
- Travel
- AI
- Employee discount
Quick apply
13d
Senior Backend Engineer - UK
Heidi —London
- Full-time
- Hybrid work
- APIs
Senior Software Engineer
GRAVITY PROJECTS —London
- £85,000 - £90,000 a year
- Full-time
- Computer Science
- Software troubleshooting
- Engineering
- Free parking
- Annual leave
Quick apply
Senior Software Engineer, Backend
Rippling —London
- Full-time
- Hybrid work
- Mentoring
- Communication skills
Senior Software Engineer
PayPoint —Welwyn Garden City
- Full-time
- Hybrid work
- Master's degree
- Databases
- Continuous improvement
- Employee discount
Quick apply
Senior Software Engineer
Greensphere Capital —London
- Full-time
- Remote
Quick apply
4d
Senior Backend Engineer (Node.js) - London
Tesco UK —Welwyn Garden City
- Full-time
- Software troubleshooting
- Mentoring
- Agile
- Employee assistance programme
Lead/Senior Software Engineer - Full stack
NECSWS —Hemel Hempstead
- Full-time
- Remote
- Computer Science
- DevOps
- Engineering
- Annual leave
- Employee assistance programme
Quick apply
5d
Senior Engineer, Accounting Infrastructure and Systems
Deliveroo —London
- Full-time
- Mentoring
1d
Senior Engineer
Next 15 Group plc —London
- Hybrid work
- Mentoring
- AI
- Communication skills
- Employee assistance programme
Quick apply
13d
Senior Software Engineer
The Currency Cloud Services Limited —London
- Doctoral degree
- DevOps
- Master's degree
Quick apply
Senior Software Engineer
Deliveroo —London
- Full-time
- Mentoring
- Recruiting
- Leadership
Senior Software Engineer - Full-Stack
Deliveroo —London
- Full-time
- Mentoring
- Recruiting
- Leadership
Senior Software Engineer FX
The Currency Cloud Services Limited —London
- Java
- SQL
- Mentoring
Quick apply
Senior Software Engineer, Android
Deliveroo —London
- Full-time
- Mentoring
- Communication skills
Senior AI Engineer - AI Transformation
Multiverse —London
- Full-time
- Hybrid work
- Product management
- Mentoring
- AI
- Gym membership
- Life insurance
Quick apply
Manager Engineering, Accounting Data and Systems
Deliveroo —London
- Full-time
- Leadership
1d
Senior Developer
Universal Music Group —London
- Full-time
- DevOps
- Communication skills
- Annual leave
- Employee discount

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Senior Backend Engineer

BRAHMA -
London

Apply Now

Job details

13 days ago

Qualifications

Performance tuning
Law
Stakeholder collaboration
PyTorch
Computer vision
Data and database experience
Master's degree
ETL data integration
Docker
Machine learning
PostgreSQL
Neo4j
Redis
Back-end development
OpenCV
Data pipeline
APIs
Multidisciplinary collaboration
Kafka
Root cause analysis
AI
Software development or architecture experience
TypeScript
Graph databases
Debugging

Full job description

Brahma AI operates at the intersection of enterprise Media Asset Management (MAM) and cutting-edge generative media. We build and scale industry-leading generative AI models, including hyper-realistic digital humans (ATMAN) and multilingual voice synthesis (VAANI), for world-class enterprise clients in entertainment, sports, healthcare, and retail.

We are looking for a Senior Backend Engineer to design and scale the core server-side services, APIs, and data pipelines that power our AI and media processing capabilities. In this role, you will focus primarily on backend architecture, API design, and system performance. You will collaborate closely with ML engineers to integrate generative models and with dedicated DevOps engineers who handle our platform infrastructure. You will also touch frontend interfaces occasionally to help expose backend capabilities seamlessly.

Key Responsibilities

API & System Architecture: Design, build, and maintain high-performance RESTful APIs, microservices, and event-driven architectures for AI-powered media workflows.
Data Processing & Storage: Build robust data pipelines, database schemas, and caching layers (PostgreSQL, Redis) for handling large-scale media content.
ML Model Integration: Collaborate with ML researchers and engineers to integrate model inference and training workflows into production backend systems.
Operational Health & Observability: Implement application-level logging, metrics, and alerting; actively participate in performance profiling, root-cause analysis, and production incident resolution alongside our DevOps team.
Performance Optimisation: Optimise server-side code, async queues, and database queries for low latency, high throughput, and high availability.
Cross-Functional Collaboration: Partner with frontend/product teams to ensure API contracts make complex generative AI capabilities intuitive to consume.

Must Haves

5+ years of software engineering experience, with primary expertise in server-side Python development.
System Design & APIs: Proven track record building scalable RESTful APIs, microservices, and async/event-driven systems.
Data & Caching: Strong relational database design (e.g., PostgreSQL) and caching/memory store experience (e.g., Redis).
Operational Mindset: Experience with production observability (logging, monitoring, alerting) and a disciplined approach to debugging, testing, and incident response.
AI coding Literacy: Pragmatic experience using AI development tools (e.g., Copilot, Cursor, LLM APIs) to boost coding velocity while maintaining strict code quality, test coverage, and architectural rigor.
AI concept awareness: Understanding of core AI concepts (e.g., the operational differences, latency requirements, and resource profiles of model training vs. inference).
Fullstack Awareness: Rudimentary knowledge of modern JavaScript/TypeScript and web development concepts—enough to collaborate seamlessly with UI engineers or build internal prototypes.
Within +/- 3 hours from GMT.

Nice to Have

ML Experience: Hands-on experience or familiarity with PyTorch for model implementations, as well as ML serving tools (e.g., TorchServe, vLLM, Triton).
Data Pipelines & Storage Formats: Practical experience with DAG-based workflow orchestrators (e.g., Airflow, Prefect, Temporal), async ETL processing, and working with columnar data formats like Parquet.
Media & Computer Vision: Experience with media processing tools and computer vision libraries (e.g., FFmpeg, OpenCV, WebGL/Canvas).
Advanced Storage & Messaging: Familiarity with graph databases (Neo4j) or distributed messaging/event streaming systems (Kafka, RabbitMQ).
DevOps Collaboration: Basic exposure to cloud services (AWS/GCP) and container standards (Docker) to collaborate seamlessly with our platform team.
Domain Background: Background in media technology, graphics programming, VFX, or fast-paced engineering startups.

Apply Now

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