Application Guide

How to Apply for Software Engineer II

at Uplight

🏢 About Uplight

Uplight is uniquely positioned at the intersection of clean energy technology and utility software, creating personalized experiences that accelerate carbon reduction globally. Unlike generic tech companies, they specifically manage distributed energy resources (smart thermostats, EVs, solar panels) to balance power grids and replace fossil fuels. Working here means directly contributing to climate solutions while building scalable infrastructure for leading utilities worldwide.

About This Role

As a Software Engineer II on the Data Platform team, you'll scale the infrastructure behind Uplight's entire data ecosystem, enabling clean energy management across millions of devices. This role specifically focuses on building and maintaining the data pipelines and systems that process energy usage, device telemetry, and behavioral data to optimize grid efficiency. Your work directly enables utilities to reduce carbon emissions while saving customers money.

💡 A Day in the Life

A typical day involves collaborating with remote teammates to design or improve data pipelines that process energy usage from millions of devices, ensuring reliability and scalability. You might implement new features for the data platform, troubleshoot pipeline issues affecting downstream analytics, and participate in discussions about how to better support Uplight's clean energy applications through robust infrastructure.

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Interview Prep

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🎯 Who Uplight Is Looking For

  • Has 3-5 years experience building and scaling data platforms, pipelines, or infrastructure (not just using existing tools)
  • Demonstrates experience with distributed systems handling large-scale time-series data (energy/device telemetry)
  • Shows understanding of cloud infrastructure (AWS/GCP/Azure) and containerization for data processing
  • Possesses interest in clean energy/sustainability and can articulate why this domain matters beyond generic tech

📝 Tips for Applying to Uplight

1

Highlight specific experience with time-series data or IoT device data pipelines, not just generic ETL

2

Mention any previous work with energy, utilities, or sustainability tech—even if tangential

3

Quantify scale metrics: 'processed X terabytes daily' or 'served Y million devices' rather than vague statements

4

Explain how you've scaled systems incrementally while maintaining reliability (critical for grid applications)

5

Tailor your resume to show both backend/data engineering skills AND understanding of business impact on clean energy

✉️ What to Emphasize in Your Cover Letter

["Explain why you're specifically interested in Uplight's mission (clean energy through utilities, not just generic climate tech)", 'Describe a relevant project where you scaled data infrastructure under reliability constraints', "Connect your technical experience to outcomes (e.g., 'improved pipeline efficiency reduced compute costs by X%')", "Show you understand the Data Platform team's role in enabling Uplight's core products (device management, grid balancing)"]

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🔍 Research Before Applying

To stand out, make sure you've researched:

  • → Uplight's specific products (like their DERMS platform) and which utilities they partner with
  • → The clean energy landscape: how utilities use software to manage distributed energy resources
  • → Recent Uplight news/press releases about funding, acquisitions, or new utility partnerships
  • → Their tech blog or engineering culture posts to understand their stack and team dynamics

💬 Prepare for These Interview Topics

Based on this role, you may be asked about:

1 How would you design a pipeline to process telemetry from 10 million smart thermostats with sub-hourly latency?
2 Describe your experience with data reliability patterns (idempotency, exactly-once processing) for critical systems
3 How do you balance scalability with cost optimization in cloud data infrastructure?
4 What monitoring/alerting strategies have you implemented for data platform services?
5 How would you handle schema evolution for energy usage data across different device types?
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⚠️ Common Mistakes to Avoid

  • Treating this as just another data engineering role without showing interest in the energy/utility domain
  • Focusing only on data science/ML aspects rather than platform/infrastructure engineering
  • Having no examples of scaling systems or handling reliability requirements for critical data
  • Using generic application materials that don't reference Uplight's specific mission or products

📅 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!

Ready to Apply?

Good luck with your application to Uplight!

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