At a Glance
- Tasks: Join a dynamic team to develop innovative AI-driven software solutions.
- Company: Leading Fintech company focused on innovation and autonomy.
- Benefits: Competitive salary, equity stake, remote work, and flexible hours.
- Other info: Exciting career growth opportunities in a fast-paced environment.
- Why this job: Be at the forefront of AI technology and make a real impact in Fintech.
- Qualifications: Strong software engineering skills with experience in AI and cloud technologies.
The predicted salary is between 110000 - 110000 £ per year.
Senior Software Engineer with a multi-language background and experience utilising AI to drive efficiency and scalability is sought on a remote basis by a market leading Fintech. With recent investment, this Senior Software Engineer will be joining a dynamic, autonomous team of 10 tasked with scaling new product functionality and greenfield solutions. Proven experience working in a product led, fast paced start or scale up would be hugely beneficial.
This role would suit an experienced software engineer who is a heavy AI advocate (we are looking for Engineers who relish 5x'ing their output using AI year on year) whilst maintaining classic engineering standards to build greenfield solutions that quickly solve business problems.
In return, this Senior Software Engineer can expect a highly autonomous, innovation first team environment with the flexibility to work remotely whilst being offered a clear progression pathway as the team scales.
This Senior Software Engineer should have most of the following key skills:
- Strong commercial software engineering experience - Go, Python, Typescript, Node etc.
- An AI advocate with a proven record of utilising AI tooling to drive production efficiencies.
- Solid rational database exposure - MySQL, Postgres.
- A well rounded skill set in streaming systems - Kafka, Kinesis etc.
- Strong AWS deployment exposure.
- A product focussed, business first approach to engineering.
- Experience working in a fast paced product lead environment.
- Any experience working in a FinTech or regulated industry.
- Cloud native architecture exposure - AWS massively preferred.
- Solid pipeline automation skills (CI/CD).
In return, this Senior Software Engineer will receive:
- Base salary of circa £110,000.
- Long term remote working (one day a month on site max).
- Generous equity stake with a clear business exit strategy.
- Bonus scheme.
- Private healthcare.
- Flexible working hours.
- Clear progression and personal development opportunities.
- 25 days annual leave plus bank holidays.
- Private pension.
- Regular salary reviews.
So if you are a Senior Software Engineer who is excited by AI innovation and is keen to play a key role in building high traffic, enterprise grade applications for household names then please apply now to be considered.
Senior Software Engineer in Bradford employer: SF Partners Admin
Contact Detail:
SF Partners Admin Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Software Engineer in Bradford
✨Tip Number 1
Network like a pro! Reach out to your connections in the FinTech space and let them know you're on the lookout for opportunities. A personal recommendation can go a long way in landing that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AI and cloud-native solutions. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the latest trends in AI and software engineering. Practice common interview questions and be ready to discuss how you've used AI to drive efficiencies in your past roles.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior Software Engineer in Bradford
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences mentioned in the job description. Highlight your multi-language background and any AI projects you've worked on, as we want to see how you can drive efficiency and scalability.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about AI and how it has shaped your engineering approach. Share specific examples of how you've used AI to enhance productivity in previous roles, especially in fast-paced environments.
Showcase Your Projects: If you've worked on greenfield solutions or product-led projects, make sure to include them in your application. We love seeing real-world applications of your skills, so don't hold back on sharing your achievements!
Apply Through Our Website: For the best chance of getting noticed, apply directly through our website. This way, we can easily track your application and ensure it reaches the right team members who are excited to meet you!
How to prepare for a job interview at SF Partners Admin
✨Know Your Tech Stack
Make sure you’re well-versed in the languages and tools mentioned in the job description, like Go, Python, and AWS. Brush up on your knowledge of streaming systems like Kafka and Kinesis, as well as CI/CD practices. Being able to discuss your experience with these technologies will show that you're a strong fit for the role.
✨Showcase Your AI Experience
Since they’re looking for someone who can leverage AI to boost efficiency, prepare examples of how you've used AI tools in past projects. Be ready to discuss specific instances where your AI advocacy led to tangible improvements in productivity or problem-solving.
✨Demonstrate Product Focus
This role is all about being product-led, so come prepared to talk about how you’ve contributed to product development in fast-paced environments. Share stories that highlight your business-first approach to engineering and how you’ve helped solve real-world problems through your work.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the team dynamics, the company’s vision for AI integration, and how they measure success in their projects. This not only shows your interest but also helps you gauge if this is the right fit for you.