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- Tasks: Build scalable solutions and automate industry processes using Python and microservices.
- Company: Join a small, profitable business at the forefront of technology innovation.
- Benefits: Enjoy hybrid working, competitive salary, and a collaborative team environment.
- Why this job: Make a real impact while learning and growing in a dynamic tech landscape.
- Qualifications: Extensive Python experience, AWS knowledge, and a passion for clean code are essential.
- Other info: Be part of a multi-disciplinary team pushing boundaries in AI technology.
The predicted salary is between 55000 - 70000 £ per year.
Senior Software Engineer (Python/Microservices/Knowledge Graphs)
(Salary: £55,000 – 70,000. Hybrid working, London office)
Are you passionate about building great solutions that make a big impact on everyday lives? Want to contribute significantly to the company’s success? If you want to join a small and profitable business operating at the cutting edge of technology, whilst learning every day, read on …
About the Role
As a Senior Software Engineer in the team; you will work on building the platform that enables the automation of an industry. The core services allow our solutions to communicate with third-party APIs in a reliable and scalable manner. You’re an expert with Python and backend frameworks, SOA and microservices. You have been developing scalable software products for several years and have a passion for your craft, writing great code.
You should love shipping to customers. Nothing we build matters if it isn’t solving problems for our customers and you love learning. Engineering is ever-changing. You enjoy exploring areas that you might not have experience with yet. You will be keen on developing clean and maintainable code and mentoring other developers in achieving the same.
Most of all you will enjoy working with a great team and be passionate about the work you do.
Responsibilities
Our Software Engineers work across the technical stack, designing and implementing the infrastructure and skills that make our solutions indispensable to our clients.
Tasks include:
- System Architecture: Design scalable, secure architectures (microservices, event-driven, etc)
- Python Development: Lead Python projects, ensuring high performance and scalability
- Public API Development: Design secure, scalable public APIs
- Large-Scale Data Handling: Build systems to manage and process large data volumes efficiently
- Simplification & Optimization: Identify and simplify over-engineered solutions
- Generative AI & ML: Integrate Gen AI solutions and explore machine learning for business applications
- AWS Cloud Expertise: Architect and deploy systems using AWS services (Lambda, API Gateway, S3, etc)
- Security Mindset: Implement security best practices across development processes
- CI/CD & Automation: Set up CI/CD pipelines and automated testing to accelerate delivery
- Collaboration: Work with cross-functional teams to align on goals and deliver results
Requirements
We are looking for someone who is passionate about technology and enjoys learning and applying the latest developments.
Must-have experience
- Extensive Python experience designing and building systems that process large volumes of data efficiently
- Broad architecture exposure including microservices, event-driven and monolithic environments
- Experience working with Knowledge Graphs
- Experience developing software at all stages of the development lifecycle
- Hands-on experience with AWS cloud services including serverless, EC2, RDS, and more
- Strong SQL skills for database design and query optimization
- Experience with API development and a focus on performance and security
Nice to have experience
- Leadership experience guiding a team, reviewing code, and ensuring simple, effective solutions
- Experience with Generative AI and an interest in Machine Learning
- Know how to develop CI/CD pipelines and understand common CD strategies such as dark launches and feature toggling
- Experience with vector databases (e.g., Pinecone, FAISS) and graph databases (e.g., Neo4j)
- Have experience undertaking TDD as a design just as much as a development tool
About the Team
Our team is a multi-disciplinary team of experts with everyone contributing their area of specialism; from infrastructure to knowledge graphs, Real Estate Operations to dialogue design.
Working in a truly collaborative style, where everyone is heard and brings something valuable to the conversation allows us to push the boundaries in this new area of technology. We are fundamentally challenging the way one of the largest industries in the world operates, and our commercial success pays testament to the skill, commitment and passion that our team displays every day.
Apply now and help us shape the future of AI technology!
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Senior Software Engineer employer: Story Terrace Inc.
Contact Detail:
Story Terrace Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Software Engineer
✨Tip Number 1
Make sure to showcase your extensive Python experience in your conversations. Highlight specific projects where you've designed and built systems that handle large volumes of data efficiently, as this is a key requirement for the role.
✨Tip Number 2
Familiarize yourself with microservices architecture and be ready to discuss your experience with it. Prepare examples of how you've implemented scalable and secure architectures in previous roles, as this will demonstrate your fit for the position.
✨Tip Number 3
Since collaboration is crucial in our team, think about how you can demonstrate your teamwork skills. Be prepared to share experiences where you've worked cross-functionally to achieve common goals, as this aligns with our collaborative culture.
✨Tip Number 4
Stay updated on the latest trends in Generative AI and Machine Learning. Showing your enthusiasm for these technologies and discussing any relevant projects or learning experiences can set you apart from other candidates.
We think you need these skills to ace Senior Software Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your extensive Python experience and any projects related to microservices and knowledge graphs. Use specific examples that demonstrate your ability to handle large data volumes efficiently.
Craft a Compelling Cover Letter: In your cover letter, express your passion for technology and learning. Mention how your skills align with the responsibilities outlined in the job description, particularly your experience with AWS services and API development.
Showcase Your Projects: If you have worked on relevant projects, include them in your application. Describe your role, the technologies used, and the impact of your work. This will help illustrate your hands-on experience and problem-solving abilities.
Highlight Collaboration Skills: Since the role emphasizes teamwork, mention any experiences where you collaborated with cross-functional teams. Discuss how you contributed to achieving common goals and how you mentored other developers.
How to prepare for a job interview at Story Terrace Inc.
✨Showcase Your Python Expertise
Be prepared to discuss your experience with Python in detail. Highlight specific projects where you've built scalable systems, and be ready to explain your approach to performance optimization and security in API development.
✨Demonstrate Your Architectural Knowledge
Discuss your understanding of system architecture, particularly microservices and event-driven designs. Provide examples of how you've implemented these architectures in past projects and the impact they had on scalability and reliability.
✨Emphasize Collaboration Skills
Since the role involves working with cross-functional teams, share experiences that demonstrate your ability to collaborate effectively. Talk about how you’ve contributed to team goals and how you handle feedback and mentorship.
✨Express Your Passion for Learning
Convey your enthusiasm for technology and continuous learning. Mention any recent technologies or methodologies you've explored, especially in areas like Generative AI or machine learning, and how you plan to apply them in your work.
