Senior Backend / Full Stack Engineer

Newton Research; Coningsby; On-site; GBP 50,000 - 85,000; Full time

Job summary

Newton Research, a fast-growing software start-up, seeks a Senior Backend/Full Stack Engineer skilled in backend development and DevOps. The successful candidate will design scalable backend services and contribute to infrastructure. Ideal applicants have strong technical skills in Python, cloud platforms, and microservices architecture, supporting innovative AI-driven solutions.

Qualifications

• 5-10 years of experience in backend software development using Python, Node.js, or Java.
• Familiarity with cloud platforms like AWS or GCP.
• Experience in a fast-paced startup environment preferred.

Responsibilities

• Design, develop, and maintain backend services and APIs for AI applications.
• Create and optimize data pipelines powering AI/ML models.
• Assist with cloud infrastructure configuration and automation.

Skills

Backend development

RESTful APIs

Microservices architecture

Problem-solving

Communication

Cloud platforms

Education

Bachelor's degree in Computer Science

Tools

AWS

GCP

Docker

Kubernetes

Terraform

GitHub Actions

Jenkins

PostgreSQL

Redis

Job description

Newton Research is a fast-growing software start-up founded by repeat entrepreneurs and well-funded by blue chip venture capital firms. We are building the next generation of the closed loop media lifecycle, building AI agents that leverage the latest in LLMs and generative AI with specialized knowledge. Our products to generate actionable business insights for our customers and partners, assisting in each step of the media planning, buying and measurement lifecycle.

Role Description

We're looking for a Senior Backend/Full Stack Engineer with DevOps experience to join our engineering team. You'll design and develop scalable backend services and APIs that power our AI-driven applications while also contributing to our infrastructure and deployment processes. This role sits at the intersection of application development and infrastructure, requiring both strong software engineering skills and DevOps knowledge. You'll be instrumental in building robust systems that enable our LLM and generative AI solutions to deliver actionable insights to our clients.

Responsibilities

• Design, develop, and maintain backend services and APIs for our AI-powered applications
• Build scalable and resilient microservices using modern architectural patterns
• Create and optimize data pipelines that power our AI/ML models
• Implement efficient database schemas and queries for both structured and unstructured data
• Assist with cloud infrastructure configuration and automation (AWS, GCP)
• Help implement and improve CI/CD pipelines for application deployment
• Collaborate with data scientists to integrate AI models into production applications
• Participate in code reviews, architectural discussions, and technical planning
• Monitor application performance and implement improvements
• Troubleshoot and resolve production issues as part of an on-call rotation
  
  

Qualifications

• 5-10 years of experience in backend software development (Python, Node.js, or Java)
• Strong understanding of RESTful APIs, microservices architecture, and async programming
• Experience with database technologies (PostgreSQL, Redis)
• Familiarity with containerization (Docker) and orchestration (Kubernetes)
• Demonstrated experience with AWS or GCP cloud platforms
• Working knowledge of CI/CD tooling and practices (GitHub Actions, Jenkins, etc.)
• Experience with Infrastructure as Code (Terraform, CloudFormation) preferred
• Understanding of monitoring, logging, and observability tools
• Solid grasp of software development best practices (testing, code quality, documentation)
• Experience with modern frontend frameworks (React, Vue, Angular) a plus
• Background with AI/ML systems integration preferred
• Excellent problem-solving abilities and communication skills
• Bachelor's degree in Computer Science or related field, or equivalent practical experience
• Experience in a fast-paced startup environment preferred

Apply for this job

*

indicates a required field

First Name *

Last Name *

Email *

Phone *

Resume/CV *

Enter manually

Accepted file types: pdf, doc, docx, txt, rtf

Enter manually

Accepted file types: pdf, doc, docx, txt, rtf

Education

School * Select...

Degree * Select...

Select...

End date year *

LinkedIn Profile

Will you now or in the future require visa sponsorship? * Select...

What is your highest level of education? * Select...