Application Guide

How to Apply for Senior Backend Engineer

at Aerobotics

🏢 About Aerobotics

Aerobotics combines cutting-edge aerial imagery with agricultural technology to help farmers globally optimize crop performance and enhance sustainability. Unlike generic tech companies, they're solving tangible real-world problems in food production using data-driven insights. Working here means contributing directly to global food security and environmental sustainability through technology.

About This Role

This Senior Backend Engineer role involves building and maintaining systems that process agricultural imagery data at scale, from initial system design through production deployment. You'll work at the intersection of software engineering and data science, solving algorithmic problems to extract meaningful insights from aerial imagery. The role requires end-to-end ownership of problems, including creating supporting internal tooling as needed.

💡 A Day in the Life

A typical day might involve designing a new data pipeline to process incoming aerial imagery, collaborating with data scientists on feature extraction algorithms, and making architectural decisions about scaling existing systems. You'll balance implementing new features with maintaining production systems, often working on problems that start as loosely defined agricultural needs and turning them into technical solutions.

🚀 Application Tools

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Interview Prep

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🎯 Who Aerobotics Is Looking For

  • Has 4+ years of Python experience with a proven track record of shipping production systems at tech companies, ideally in data-intensive or image processing domains
  • Demonstrates experience designing and building systems from scratch, not just maintaining existing codebases, with examples of architectural decisions made
  • Has operated systems at scale, particularly with data pipelines or image processing workloads, and can discuss trade-offs between rigor and speed
  • Shows interest in agriculture, sustainability, or data science applications, with ability to bridge software engineering and data insights

📝 Tips for Applying to Aerobotics

1

Highlight specific Python projects where you processed large-scale data or images, quantifying the scale (e.g., 'processed 10TB of image data daily')

2

Prepare a detailed example of a system you designed from scratch, emphasizing the problem definition phase and how you made trade-off decisions

3

Research Aerobotics' technology stack (likely Python-based with cloud infrastructure) and mention relevant experience with similar tools

4

Demonstrate understanding of agriculture or sustainability challenges in your application materials, showing genuine interest in their mission

5

Include metrics in your resume showing impact of systems you've built or maintained, especially around scalability or performance improvements

✉️ What to Emphasize in Your Cover Letter

['Your experience with end-to-end system ownership, from ambiguous problem definition through production deployment', 'Specific examples of building scalable data pipelines or image processing systems, preferably in Python', "How your technical decisions balance rigor with speed, with concrete examples of trade-offs you've made", "Why you're drawn to applying technology to agricultural sustainability challenges specifically"]

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🔍 Research Before Applying

To stand out, make sure you've researched:

  • → Aerobotics' specific products and services - understand what agricultural insights they provide to farmers
  • → Their technology blog or engineering publications to understand their stack and technical challenges
  • → The agricultural technology (AgTech) industry trends and challenges they're addressing
  • → Their company values and recent news to understand their culture and direction

💬 Prepare for These Interview Topics

Based on this role, you may be asked about:

1 System design question: 'Design a pipeline to process and analyze terabytes of aerial imagery data daily'
2 Algorithmic problem: 'How would you optimize extracting features from agricultural imagery at scale?'
3 Trade-off discussion: 'Describe a time you had to choose between engineering rigor and speed to market, and justify your decision'
4 Python-specific questions about concurrency, data processing libraries (Pandas, NumPy), and scaling challenges
5 Scenario question: 'How would you approach a loosely defined problem about improving crop yield insights from our imagery data?'
Practice Interview Questions →

⚠️ Common Mistakes to Avoid

  • Focusing only on maintaining existing systems without demonstrating experience building from scratch
  • Generic Python experience without specific examples of data pipelines or scalable systems
  • Ignoring the agricultural/sustainability aspect and treating this as just another backend engineering role

📅 Application Timeline

This position is open until filled. However, we recommend applying as soon as possible as roles at mission-driven organizations tend to fill quickly.

Typical hiring timeline:

1

Application Review

1-2 weeks

2

Initial Screening

Phone call or written assessment

3

Interviews

1-2 rounds, usually virtual

✓

Offer

Congratulations!

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Good luck with your application to Aerobotics!

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