At a Glance
- Tasks: Lead a team to develop cutting-edge SaaS platforms for financial data analysis.
- Company: Dynamic tech company focused on innovative cloud solutions.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on advanced technology and career advancement.
- Why this job: Make a real impact in the fintech space while leading a talented team.
- Qualifications: Experience in managing engineering teams and building B2B SaaS platforms.
The predicted salary is between 70000 - 90000 € per year.
An opportunity to lead the development of large-scale, data-driven SaaS platforms used to analyse and visualise complex financial datasets. The position involves managing a team of engineers while remaining closely involved in architecture, system design and technical direction. The platform is built using cloud-native infrastructure with Python services, modern web technologies and AWS.
Role Responsibilities
- Lead and mentor a team of approximately eight engineers across backend and frontend development.
- Work closely with product leadership to shape the technical roadmap and deliver new platform capabilities.
- Guide the architecture and development of scalable cloud-based applications.
- Ensure strong engineering practices around testing, reliability, performance and security.
- Contribute to system design decisions and oversee delivery of production-ready features.
Core Requirements
- Demonstrated experience managing engineering teams and delivering software in production environments.
- Background building or operating B2B SaaS platforms, including multi-tenant architectures.
- Strong knowledge of AWS and cloud-native system design.
- Experience working with Python backend systems and modern web stacks such as React or Typescript.
- Ability to solve complex technical challenges and communicate effectively with both engineering and product stakeholders.
Additional Experience
- Exposure to data platforms or analytical tooling such as Spark, pandas, Snowflake, Databricks or DuckDB.
- Familiarity with agile development environments and continuous delivery pipelines.
The role focuses on developing advanced platforms used for large-scale financial data analysis and visualisation. The team is building tools used by leading financial institutions to work with extremely large datasets. The environment is collaborative, technically focused and centred around building high-impact data applications.
SaaS Technical Lead employer: Harrington Starr
As a SaaS Technical Lead, you will thrive in a dynamic and collaborative environment that prioritises innovation and technical excellence. Our company offers competitive benefits, a strong focus on employee growth through mentorship and training, and the unique opportunity to work on cutting-edge financial data applications that make a real impact in the industry. Join us in our modern office located in a vibrant tech hub, where your contributions will be valued and recognised.
StudySmarter Expert Advice🤫
We think this is how you could land SaaS Technical Lead
✨Tip Number 1
Network like a pro! Reach out to your connections in the SaaS and tech space. Attend meetups, webinars, or even online forums where you can chat with industry folks. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those involving AWS, Python, or React. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to cloud-native systems and SaaS platforms. Practice explaining your thought process when solving complex problems, as communication is key in this role.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly helps us keep track of your application. Plus, it shows you’re genuinely interested in joining our team!
We think you need these skills to ace SaaS Technical Lead
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with AWS, Python, and React. We want to see how your skills align with the SaaS platforms we build, so don’t hold back on showcasing relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Tell us why you’re passionate about leading engineering teams and how you can contribute to our mission of developing advanced data applications. Keep it engaging and personal.
Showcase Your Leadership Skills:Since this role involves managing a team, make sure to highlight your leadership experience. Share examples of how you've mentored engineers or led projects to success. We love seeing how you’ve made an impact!
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’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at Harrington Starr
✨Know Your Tech Stack
Make sure you’re well-versed in AWS, Python, and React. Brush up on your knowledge of cloud-native architectures and be ready to discuss how you've applied these technologies in past projects. This will show that you’re not just familiar with the tools but can also lead a team effectively.
✨Showcase Leadership Experience
Prepare examples of how you've managed engineering teams before. Highlight specific instances where you mentored team members or guided projects to success. This will demonstrate your capability to lead and inspire others, which is crucial for this role.
✨Understand the Business Context
Familiarise yourself with B2B SaaS platforms and the financial sector. Be ready to discuss how your technical decisions can impact business outcomes. This shows that you can bridge the gap between engineering and product leadership, which is key for shaping the technical roadmap.
✨Prepare for Problem-Solving Questions
Expect to tackle complex technical challenges during the interview. Practice articulating your thought process when solving problems, especially those related to scalability and performance. This will highlight your analytical skills and ability to communicate effectively with both technical and non-technical stakeholders.
