Full time
Information Technology
Telecommunications
Job Description
Requirements
We are looking for a skilled software engineer who thrives on building and scaling complex systems
You should have a proven track record of delivering robust, multi-technology applications within an enterprise environment
The main part of our Tech Stack is listed below, we don't ask that you have experience in all of this, but if you do, that's great!
Python
Java, which makes up the majority of our backend codebase
JavaScript, particularly React, which makes up our frontend
Postgres and SQL
AWS & GCP - we're cloud-native
TeamCity for CI / CD (lots of teams are releasing code 15-20 times per day!)
Terraform
Prometheus and Grafana
If you have built and deployed complex Python applications or have hands-on experience with generative AI and LLMs, we would be especially keen to talk. We are moving fast in the AI space and want people who are excited to help us define what comes next
You may be put off applying for a role because you don't tick every box. Forget that!
If you're excited about working with us, but aren't sure if you're 100% there yet, get in touch anyway
What the job involves
Our Data teams are aligned to divisions covering the following Banking Services & Products, Customer Identity & Financial Crime and Data & ML Engineering
Our Data teams are excited about delivering meaningful and impactful insights to both the business and more importantly our customers
Hear from the team in our latest blogs or our case studies with Women in Tech
We are looking for talented engineers at all levels to join the team
We value people being engaged and caring about customers, caring about the code they write and the contribution they make to Starling
People with a broad ability to apply themselves to a multitude of problems and challenges, who can work across teams do great things here at Starling, to continue changing banking for good
The ML Projects team is at the forefront of bringing cutting edge machine learning to the core of what we do at Starling
As a software engineer on the ML Projects team you will work with other engineers and data scientists to design, implement and maintain features that make use of machine learning models under the hood
This could mean anything from creating a brand new ML-powered feature from scratch to seamlessly integrating a new model into our core banking platform
You might find yourself designing robust infrastructure and pipelines or discovering a completely new approach to a complex problem
We believe in empowering our engineers to take ownership and drive solutions from ideation to launch
This means you'll have the autonomy to shape your own path, identify challenges, and collaborate with colleagues across teams to deliver impactful solutions across a range of technologies
We're open-minded when it comes to hiring and we care more about aptitude and attitude than specific qualifications. We are very open about how we deliver software. We believe in clean coding, simple solutions, automated testing and continuous deployment. If you care enough to find elegant solutions to difficult technical problems, we'd love to hear from you