At a Glance
- Tasks: Develop and maintain cutting-edge AI software in a collaborative environment.
- Company: Join Signal AI, a leader in innovative decision-making technology.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Why this job: Make an impact with AI while working on exciting, real-world challenges.
- Qualifications: Experience in full-stack development and a passion for problem-solving.
- Other info: Dynamic workplace with a focus on teamwork and diverse perspectives.
The predicted salary is between 85000 - 90000 £ per year.
We are on a mission to change the way businesses make decisions with our cutting-edge AI technology. To achieve that, we’re looking for passionate people to join our open and unconventional workplace. Our inclusive environment welcomes skills and experiences from diverse backgrounds, and defines who we are.
About Signal: At Signal, we want to help organisations identify risks and opportunities and see movements in the market before anyone else. We want to help leaders make bold decisions, safe that the data is on their side. We want to connect all those external data points together, uncover the unknown unknowns, and be at the very heart of the knowledge economy. We’ve already built a world-class artificial intelligence platform for real-time information aggregation and analysis at a massive scale. We proved our value with monitoring and measurement products in the PR&Comms space, and are now joining the dots beyond. We are friendly and informal people who are passionate about our brand as we all have a stake in our success. We have an inclusive environment, welcoming the skills and experience from many diverse backgrounds, and together we have created who we are and what we sell. We are proud of our achievements and continue to strive for the unknown.
What You’ll Be Doing:
- This role suits someone with a strong product mindset who is comfortable tackling complex problems across the full stack.
- You’ll be confident in web semantics and in working with design systems to deliver high-quality user experiences, as well as in consuming and extending existing APIs written in JavaScript, Python, and Clojure.
As Member Of The Reputation Team You Will Be:
- Work in a highly collaborative environment, with a significant amount of time spent pair programming.
- Maintain and evolve an existing web-based product.
- Implement and maintain the infrastructure supporting your team’s services, using Terraform for Infrastructure as code and AWS as cloud provider.
- Building and operate services capable of handling large volumes of data.
- Work across a varied technology stack, including Clojure, Python, React, and GraphQL.
- Work with both relational and non-relational databases and storage systems (e.g. ElasticSearch, PostgreSQL, S3, Redis).
- Collaborate on defining and delivering products from both technical and product perspectives.
- Communicate effectively with other teams and stakeholders as needed.
- Provide coaching and mentoring to less experienced engineers.
The Signal AI Way:
- Thriving in Dynamic Environments: If you thrive on stability and predictability, you might find our dynamic environment challenging. Our team frequently adapts to changing priorities, which can be incredibly exciting and rewarding for those who enjoy a fast-paced, ever-evolving workplace.
- Versatile Skill Set: We value versatility and the ability to work on both back-end and front-end development. If you are passionate about expanding your skills across different areas, you'll find this role enriching and fulfilling.
- Collaborative Communication: Our culture emphasises building strong communication paths with various teams and stakeholders. If you enjoy collaborative problem-solving and sharing insights, you'll fit right in.
- Team-Oriented Programming: We encourage pair-programming and team collaboration as the default working paradigm over solo work. If you find joy in teamwork and learning from peers, you'll thrive here.
- Flexible Coding Approaches: While we respect the discipline of TDD, we also appreciate flexible and innovative approaches to coding and pragmatic testing patterns. If you're open to experimenting with different methodologies, this role offers a great opportunity to broaden your horizons.
Not sure you meet every requirement? Studies show that women and other underrepresented groups often hesitate to apply unless they check every box. At Signal AI, diverse perspectives strengthen our teams, drive innovation, and lead to better performance. So even if your background doesn’t align perfectly with each qualification, we encourage you to apply if you’re passionate about this role. We are dedicated to creating an inclusive environment where every Signaller feels welcomed, valued, and heard—a place where you can truly thrive as yourself.
Compensation Range: £85K - £90K
Senior Software Engineer (Reputation) employer: Signal AI
Contact Detail:
Signal AI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Software Engineer (Reputation)
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or at events. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Prepare for the interview by understanding the company’s mission and values. Show us how your skills align with our goals, especially in AI and data-driven decision-making. We love candidates who are genuinely excited about what we do!
✨Tip Number 3
Practice your coding skills and be ready for technical challenges. We value versatility, so brush up on both back-end and front-end technologies. Pair programming is our jam, so be prepared to collaborate during the interview!
✨Tip Number 4
Don’t hesitate to apply through our website, even if you don’t meet every single requirement. We’re all about diverse perspectives and want to hear from passionate individuals who can bring something unique to our team!
We think you need these skills to ace Senior Software Engineer (Reputation)
Some tips for your application 🫡
Show Your Passion: When writing your application, let your enthusiasm for AI and technology shine through. We love seeing candidates who are genuinely excited about what we do at Signal and how they can contribute to our mission.
Tailor Your CV: Make sure to customise your CV to highlight relevant experience that aligns with the role. Focus on your skills in web development, APIs, and any collaborative projects you've worked on. We want to see how you fit into our dynamic environment!
Be Yourself: Don’t be afraid to let your personality come through in your application. We value diverse backgrounds and experiences, so share your unique story and what makes you a great fit for our team.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen to join our team!
How to prepare for a job interview at Signal AI
✨Know Your Tech Stack
Make sure you’re familiar with the technologies mentioned in the job description, like Clojure, Python, React, and GraphQL. Brush up on your knowledge of both relational and non-relational databases too. Being able to discuss your experience with these tools will show that you’re ready to hit the ground running.
✨Emphasise Collaboration
Since the role involves a lot of pair programming and teamwork, be prepared to share examples of how you've successfully collaborated with others in the past. Highlight your communication skills and how you’ve contributed to team projects, as this will resonate well with their culture.
✨Show Your Problem-Solving Skills
Prepare to tackle some complex problems during the interview. Think of specific challenges you’ve faced in previous roles and how you approached them. This will demonstrate your strong product mindset and ability to adapt to dynamic environments, which is key for this position.
✨Be Open to Learning
Signal AI values versatility and a willingness to learn. Share your experiences of picking up new skills or technologies, and express your enthusiasm for expanding your expertise. This will show that you’re not just a fit for the role, but also someone who can grow with the company.