At a Glance
- Tasks: Lead the design and development of innovative backend software solutions.
- Company: Join a forward-thinking tech company with a collaborative culture.
- Benefits: Enjoy competitive pay, flexible working, and a generous development budget.
- Other info: Great career growth opportunities and a chance to mentor junior engineers.
- Why this job: Make a real impact with cutting-edge technology in a supportive environment.
- Qualifications: Expertise in Python, cloud deployments, and strong problem-solving skills required.
The predicted salary is between 60000 - 80000 € per year.
We are looking for a Senior Software Engineer (Backend) to play a pivotal role in leading the design, development, and deployment of complex software solutions. You will architect and maintain data engineering pipelines, backend services, and APIs, delivering reliable and scalable systems that address business needs across diverse industries. This position requires deep expertise in software engineering concepts, advanced coding abilities (preferably Python), and hands-on experience with cloud deployments, databases, and containerisation (Docker). We're looking for someone with a co-operative, can-do attitude who can build high-quality data engineering solutions. If this sounds like you, we can't wait to hear from you!
KEY RESPONSIBILITIES:
- Contribute to the design, development, and deployment of robust software solutions, promoting best practices throughout the software development lifecycle.
- Contribute to architecting and maintaining complex data engineering pipelines, backend services, and APIs to ensure scalability, reliability, and high performance.
- Support the thorough review of Python and SQL code via Git, promoting code quality, security, and adherence to engineering standards.
- Support cloud-based deployments and infrastructure (e.g. Azure, GCP), leveraging Linux scripting and advanced Docker skills including storage, volumes, and permissions.
- Develop and implement database solutions using SQL and Cloud platforms, with a focus on optimising performance and data integrity.
- Mentor and guide junior engineers, facilitating knowledge sharing and the adoption of best engineering practices.
- Troubleshoot and enhance existing systems, applying advanced problem-solving and analytical skills.
- Effectively communicate technical concepts and project outcomes to stakeholders through written documentation, calls, and presentations.
- Demonstrate high attention to detail across all development activities, contributing to deliverables that meet technical and business requirements.
- Remain up to date with emerging software engineering technologies and industry trends and proactively suggest improvements and new approaches.
- Identify technical risks and contribute to project planning and task management, helping to achieve successful outcomes.
KEY REQUIREMENTS:
- Mastery of at least one programming language (preferably Python) with deep understanding of advanced technical concepts (system architecture, microservices, cloud-native design, OOP, concurrency, decorators, recursion).
- Experience in delivering, designing, and deploying scalable software solutions and complex software projects, including backend services, data engineering pipelines, and APIs.
- Experience in DevOps practices, such as CI/CD, version control (Git, GitHub, Azure DevOps), infrastructure as code, and collaborative workflows.
- Experience with Docker development workflows, including DockerFiles, storage, volumes, and production-grade deployments.
- Strong understanding of databases (SQL Server, Postgres) and ORMs (e.g., SQLAlchemy, Prisma), including database migrations (Alembic).
- Advanced knowledge of cloud deployment (AWS, Azure) and Linux scripting (e.g., bash).
- High attention to detail with a thorough approach to code review and testing.
- Track record of mentoring, establishing engineering best practices, and code quality assurance.
- Effective communication skills, able to convey complex technical concepts to diverse audiences (stakeholders, technical/non-technical).
- Demonstrated ability to work independently and make architectural decisions.
- Ability to identify, propose, and implement improvements to engineering processes.
- Strong problem-solving skills and analytical thinking.
- Hands-on experience with cloud infrastructure (deployment, monitoring, scaling).
INTERVIEW PROCESS:
- Stage 1: 20 min video call with a member of the hiring team.
- Stage 2: 45 mins live coding task.
- Stage 3: 90 min F2F interview in our London office.
OUR BENEFITS:
- Competitive compensation package including annual performance bonus.
- 26 days of annual leave, 8 bank holidays plus your birthday off.
- BUPA Private Healthcare.
- Enhanced family leave.
- £1,000 annual development budget.
- Flexible hybrid working (2 days a week in our modern Shoreditch office).
- Remote working from anywhere in the world for up to 4 weeks each year.
- Latest tech that suits your needs: high-spec Windows machine or a MacBook.
- Free snacks and drinks, and regular team socials.
- Supportive entrepreneurial environment offering a ton of autonomy and opportunity to work on a variety of projects, technologies and industries.
Join us and realise your full potential in a collaborative, forward-thinking team, where your work will help shape the future.
OUR COMMITMENT TO DEI:
At ADSP, we are committed to fostering an inclusive hiring process and believe in creating an environment where all candidates have equal opportunities to succeed. If you require any reasonable adjustments during the application or interview process, please do not hesitate to reach out to us at careers@adsp.ai.
Senior Software Engineer (Backend) employer: Applied Data Science Partners
At ADSP, we pride ourselves on being an exceptional employer that champions innovation and personal growth. Our supportive and entrepreneurial work culture encourages collaboration and autonomy, allowing you to thrive while working on diverse projects in our vibrant Shoreditch office. With competitive benefits, including a generous annual leave policy, private healthcare, and a dedicated development budget, we are committed to helping you realise your full potential in a forward-thinking environment.
Contact Detail:
Applied Data Science Partners Recruiting Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior Software Engineer (Backend)
✨Tip Number 1
Get your networking game on! Reach out to folks in the industry, attend meetups, or join online communities. You never know who might have a lead on that perfect Senior Software Engineer role.
✨Tip Number 2
Prepare for those interviews like a pro! Brush up on your coding skills, especially in Python, and practice explaining your thought process. Remember, they want to see how you tackle problems, not just the final answer.
✨Tip Number 3
Show off your projects! Whether it's a GitHub repo or a personal website, having tangible examples of your work can really set you apart. Make sure to highlight any complex data engineering solutions you've built.
✨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, it shows you're genuinely interested in joining our team at ADSP.
We think you need these skills to ace Senior Software Engineer (Backend)
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience with Python, cloud deployments, and data engineering. We want to see how your skills align with the role, so don’t hold back!
Show Off Your Projects:Include links to any relevant projects or GitHub repositories that showcase your coding abilities and experience with backend services. This gives us a chance to see your work in action!
Be Clear and Concise:When writing your application, keep it straightforward and to the point. We appreciate clarity, so make sure your technical skills and experiences shine through without unnecessary fluff.
Apply Through Our Website:We encourage you to submit your application directly through our website. It’s the best way for us to receive your details and ensures you’re considered for the role as quickly as possible!
How to prepare for a job interview at Applied Data Science Partners
✨Know Your Tech Inside Out
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss your experience with cloud deployments, Docker, and databases. They’ll likely ask you about specific projects where you’ve implemented these technologies, so have some examples ready!
✨Showcase Your Problem-Solving Skills
Prepare to tackle a live coding task during the interview. Practice common algorithms and data structures, and think aloud as you solve problems. This will demonstrate your analytical thinking and problem-solving abilities, which are crucial for the role.
✨Communicate Clearly
You’ll need to convey complex technical concepts to various stakeholders. Practice explaining your past projects in simple terms, focusing on the impact of your work. This will show that you can bridge the gap between technical and non-technical audiences.
✨Be Ready to Mentor
Since mentoring junior engineers is part of the job, be prepared to discuss your approach to knowledge sharing. Think of examples where you’ve guided others or established best practices, as this will highlight your leadership qualities and collaborative spirit.
