Application Guide

How to Apply for Client Support Software Engineer

at Kaluza

🏢 About Kaluza

Kaluza is a cutting-edge energy tech company dedicated to empowering energy suppliers to drive decarbonisation through intelligent software. Their platform is at the forefront of the green transition, offering a unique opportunity to work on meaningful climate solutions while leveraging advanced technology like AI and automation.

About This Role

As a Client Support Software Engineer, you'll own technical support with real depth, leading impact assessments and root cause analysis to resolve complex issues. You'll also build tooling that makes support smarter over time, automating workflows with Python, SQL, and AWS, and feeding key learnings back to the engineering community.

💡 A Day in the Life

Your day might start by triaging incoming client issues, performing root cause analysis using Databricks SQL and Python to identify impacted accounts. You'll then collaborate with engineering squads to drive fixes through the incident process, while also working on automating a manual workflow using AWS Lambda to reduce future toil. After lunch, you might review AI tooling to enhance support automation and document learnings for the engineering community.

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Interview Prep

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🎯 Who Kaluza Is Looking For

  • You have strong problem-solving skills and can investigate issues, identify root causes, and define effective solutions, especially in a fast-paced energy sector context.
  • You have experience in data analysis using tools like Databricks SQL and APIs, with exposure to Python or similar scripting for automation.
  • You possess knowledge of the energy industry, including key processes and supporting technologies, and are eager to dive into AI tooling to increase automation.
  • You are proactive in identifying toil and reducing resolution time, and you enjoy collaborating with Product and Engineering squads to implement scalable solutions.

📝 Tips for Applying to Kaluza

1

Highlight specific examples of root cause analysis and impact assessments you've led in previous roles, especially in energy or similar regulated industries.

2

Showcase your experience with automation: describe a Python or SQL script you built to reduce manual work or improve resolution time.

3

Mention any familiarity with Databricks SQL, AWS services, or AI tooling, even if from personal projects or coursework.

4

Tailor your resume to emphasize problem-solving and client-facing support, not just pure engineering.

5

Research Kaluza's platform and recent news (e.g., partnerships, product launches) to demonstrate genuine interest in their decarbonisation mission.

✉️ What to Emphasize in Your Cover Letter

["Your passion for using technology to combat climate change and how Kaluza's mission aligns with your values.", "Specific examples of how you've automated support workflows or built tooling to reduce toil in past roles.", 'Your ability to bridge the gap between support and engineering, feeding insights back to improve the product.', "Your willingness to learn and apply AI tooling to enhance support processes, even if you're not an expert yet."]

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🔍 Research Before Applying

To stand out, make sure you've researched:

  • → Read Kaluza's blog and press releases to understand their product roadmap and recent achievements.
  • → Familiarize yourself with the Australian energy market, including key players and regulatory trends.
  • → Explore Kaluza's tech stack (e.g., AWS, Databricks) to understand the tools you'll be working with.
  • → Look into Kaluza's culture and values, especially their commitment to decarbonisation and intelligent software.

💬 Prepare for These Interview Topics

Based on this role, you may be asked about:

1 Walk me through a time you performed root cause analysis on a complex client issue. What tools did you use?
2 How would you automate a manual support workflow using Python and AWS? Describe a specific scenario.
3 What experience do you have with the energy industry? How do you stay updated on key processes and technologies?
4 Tell me about a time you collaborated with product and engineering teams to implement a scalable solution.
5 How would you approach integrating AI into support workflows to reduce resolution time? What are potential pitfalls?
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⚠️ Common Mistakes to Avoid

  • Don't apply with a generic resume that doesn't highlight support engineering or automation experience.
  • Avoid downplaying your energy industry knowledge; even if limited, show enthusiasm to learn.
  • Don't ignore the AI tooling requirement; express willingness to upskill even if you lack direct experience.

📅 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 Kaluza!

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