As a Senior Software Engineer, you will play a pivotal role in designing, developing, and deploying scalable, high-quality AI-first software solutions.
You’ll leverage your expertise in AWS, Python, and AI technologies to drive the adoption of AI quality assessment across our area, ensuring our use of AI is robust, scalable, accurate, cost-effective, adaptable and forward-thinking.
Working as the key contributor to a newly formed team, your desire to thrive in an agile fast-paced, iterative, delivery-first culture will be critical to the success of building our cutting-edge AI Quality Evaluation platform, a keystone service targeted as the core assessment platform for Sage’s AI portfolio and future strategy.
You’ll work closely with other engineers, QA, product managers, and cross-squad teams to bring this system to life, to help us continuously grow, evolve and improve our AI-enabled applications.
This is a hybrid role – three days per week in our Newcastle office.
What You’ll Do:
- Design, develop, and maintain scalable solutions using Python, and AI-driven frameworks.
- Architect, implement, and optimize cloud-based solutions on AWS, ensuring security, scalability, and reliability.
- Use cutting-edge AI tooling and capability to deliver your work at rapid pace
- Collaborate with product managers and cross-functional squads to understand requirements, define technical solutions, and deliver business value.
- Write clean, maintainable, and testable code following best practices for software development.
- Build and integrate AI-powered features into our solutions to enhance product capabilities.
- Lead by example in adopting an iterative development approach, releasing features rapidly & incrementally and improving through a fast feedback loop.
- Contribute to architecture and design decisions, mentoring junior engineers in the process.
- Take ownership of projects, ensuring timely delivery and alignment with business goals.
- Drive improvements in code quality, automation, and CI/CD pipelines.
- Build first-class observability and monitoring capabilities to give us deep insights in production and at scale.
- Collaborate with QA and Operations engineers to build robust testing frameworks and deliver high-quality software.
What you’ll be working on:
We hire technically capable people so whilst we use the below technologies, we do not expect expert knowledge, you will be fully supported if you’re able to demonstrate a technical and passionate mindset to solving complex problems:
- Python or Typescript for creating and maintaining APIs
- Python for developing AI solutions
- AWS – for most of our production infrastructure and data storage. We use a lot of Dynamo, Lambda, Bedrock, ECS, SQS, SNS, OpenSearch and many others!
- CDK for building infrastructure
- AI tooling for rapid prototyping and development
You should apply if:
- You’re comfortable working in a team that is fast paced and focussed on delivery to enable a quick feedback loop
- You have experience working on service-oriented solutions
- You’re passionate about owning your code from inception through to it living and breathing in production
- You have strong experience working with cloud providers (AWS preferred)
- Experience with any multiple of these languages is a plus: Python, C#, NodeJS (TypeScript or JavaScript)
hackajob is partnering with Sage to fill this position. Create a profile to be automatically considered for this role—and others that match your experience.
