Lead Software Developer (f/m/d)

As a Lead Software Developer (f/m/d) at Front Row, you will spearhead our Amazon Analytics SaaS solution, translating client requirements into actionable technical plans. Your role includes conceptualizing tech solutions, managing a dedicated team of developers, and ensuring technical integrity throughout projects. Additionally, you will collaborate closely with the Senior Director of BI, driving the evolution of our data infrastructure.

To qualify for the Lead Software Developer (f/m/d) position at Front Row, you should have at least 7 years of experience in Software Engineering, with a minimum of 3 years in a leadership role. Proficiency in Python and familiarity with its data science stack are essential, as well as a basic understanding of Linux and cloud infrastructures like Azure. An entrepreneurial mindset and the ability to swiftly make informed decisions are also highly valued.

Experience in the Amazon domain is beneficial for the Lead Software Developer (f/m/d) role at Front Row because it allows you to understand and craft data-focused SaaS applications effectively. This knowledge will enable you to leverage our solutions for the benefit of clients operating within one of the world's largest ecommerce ecosystems. Your insights can significantly enhance our product offerings.

The work culture for a Lead Software Developer (f/m/d) at Front Row is incredibly positive and inclusive, fostering collaboration and innovation. With a diverse workforce representing over 30 nationalities, the company emphasizes growth, creativity, and support. You'll have the freedom to experiment with new frameworks and tools while working alongside experienced co-developers in a zero-bullshit environment that values transparency and integrity.

The Lead Software Developer (f/m/d) position at Front Row comes with substantial growth opportunities. We prioritize individual career development through initiatives like the Gallup StrengthsFinder, granting an unlimited learning budget for your professional advancement. You'll be entrusted with significant responsibilities in your projects, ensuring that your contributions are impactful and rewarding.

In interviews, highlight specific instances where you've successfully led a team, focusing on your leadership style, how you support your team, and how you navigate challenges. Showcase the results of your leadership, such as project outcomes or team satisfaction, to convey your effectiveness.

Discuss your method for identifying potential risks before a project begins. Share a structured approach, such as conducting risk assessments, developing mitigation strategies, and using feedback loops throughout the project lifecycle to adapt to new challenges.

Highlight your proficiency in Python and its data science stack, as outlined in the job description. Discuss your familiarity with other languages and technologies you've worked with, and share examples of projects where you utilized these technologies to achieve specific results.

Prepare a detailed account of a relevant project, outlining the objectives, your role, the technologies used, and the final impact of your work. Emphasize how your efforts led to positive outcomes for the client and what you learned through the process.

Emphasize your commitment to fostering open lines of communication. Share tools you utilize, like project management software or regular check-ins, and discuss how you cultivate a culture of feedback and collaboration to ensure everyone is aligned and informed.

Discuss your experience handling large datasets and your familiarity with analytics tools. Provide examples of how you've turned data into actionable insights and how that has benefited previous projects, aligning your answer with the specific needs of the role at Front Row.

Share how you regularly engage with industry news, attend webinars, or participate in forums. Mention specific resources or communities that inspire you, and how you apply new knowledge to your work, particularly in fast-evolving fields like ecommerce and data analytics.

Candidly discuss any significant challenges encountered in past projects, such as tight deadlines or technical obstacles. Outline your problem-solving strategies and the lessons learned, showcasing your resilience and ability to adapt in high-pressure situations.

If applicable, detail your experience working with distributed teams, focusing on communication strategies and tools you employed to maintain productivity. Highlight any successful projects completed in remote settings, demonstrating your adaptability and collaboration skills.

Reflect on what drives you in your professional life—be it innovation, solving complex problems, or helping your team members grow. This question is an opportunity to connect your motivations with Front Row’s mission and values, creating a compelling narrative about your fit for the role.