Other roles at Deepki:Product Manager Software Engineer Sales Supply Chain

Growth · Software Engineer Interview Guide

Interview language: English

How to Pass the Deepki Software Engineer Interview in 2026

The Deepki DNA (TL;DR)

The bar-raiser round at Deepki often features a case study on optimizing energy consumption for a commercial building portfolio. This evaluates a candidate's capacity to leverage data from platforms like Deepki Analyze to drive tangible environmental impact, aligning with their core mission.

Interviews inPython JavaScript SQL

The Deepki Interview Loop

Your onsite loop will typically consist of 5 rounds.

1
Round 1
Recruiter Screen
Motivation, role fit, logistics.
2
Round 2
Coding Screen
LeetCode-medium algorithmic problems under time pressure.
3
Round 3
System Design
Distributed systems, trade-offs at scale, architecture under constraints.
4
Round 4
Onsite Coding
LeetCode-hard, debugging, code clarity, edge cases.
5
Round 5
Behavioral / Leadership
Past evidence of ownership, influence, resolving conflict.

The Danger Zone: Top Reasons Candidates Fail

Based on our database of Deepki interview outcomes, avoid these common traps:

Giving a generic answer about wanting to work in tech or sustainability.
Focusing solely on personal gain rather than alignment with company goals.
Not mentioning specific aspects of Deepki's product or business model.
Inefficiently processing the data stream, e.g., re-scanning the entire history for each new data point.

Test Yourself: Real Deepki Questions

Three real prompts pulled from our database.

Type · algorithmic

You are given a list of sensor readings for a building, where each reading has a timestamp and a value (e.g., temperature, power). Write a function to calculate the average value for each hour of the day, ignoring readings outside of typical operating hours (e.g., 7 AM to 7 PM).

Type · debugging

A customer reports that their building's daily energy report shows inconsistent totals. Debug the provided Python code which aggregates hourly consumption data into daily totals. Identify and fix the bug.

Type · past_experience

Describe a project where you had to take initiative beyond your defined responsibilities to ensure its success. What motivated you, and what was the impact?

+ many more questions, signals, and worked examples

Unlock the Deepki rubric, free

Deepki Interview Question Bank

A sample from our database, grouped by round. Sign up to see the full set.

9 of 13 questions shown

Recruiter Screen

1
Type · motivation
What specifically about Deepki's mission in the energy sector and our focus on decarbonization through data resonates with your career aspirations?

Coding Screen

2
Type · algorithmic
Given a stream of building energy consumption data (timestamp, sensor_id, kWh), write a function to detect anomalous spikes in energy usage for a specific building within a given time window. Assume data arrives out of order.
3
Type · algorithmic
You are given a list of sensor readings for a building, where each reading has a timestamp and a value (e.g., temperature, power). Write a function to calculate the average value for each hour of the day, ignoring readings outside of typical operating hours (e.g., 7 AM to 7 PM).
+ 1 more questions in this round (sign up to unlock)

System Design

4
Type · system_design
Design a system to ingest, process, and store real-time energy consumption data from thousands of buildings globally. Consider data volume, latency requirements, and potential data quality issues.
5
Type · system_design
Design an API for retrieving energy consumption data for a specific building over a given date range. The API should support filtering by sensor type and aggregation level (e.g., hourly, daily).
+ 1 more questions in this round (sign up to unlock)

Onsite Coding

6
Type · coding_hard
Implement a function to calculate the carbon footprint of a building based on its energy consumption data and the carbon intensity of the local electricity grid over time. The grid carbon intensity data might be sparse.
7
Type · debugging
A customer reports that their building's daily energy report shows inconsistent totals. Debug the provided Python code which aggregates hourly consumption data into daily totals. Identify and fix the bug.
+ 1 more questions in this round (sign up to unlock)

Behavioral / Leadership

8
Type · past_experience
Describe a time you had to work with a complex, poorly documented legacy system. What steps did you take to understand it, and what was the outcome?
9
Type · past_experience
At Deepki, we often balance the need for high-precision building energy modeling with the technical constraints of processing massive, messy datasets from legacy building management systems. Tell me about a time you advocated for a specific data processing architecture or model complexity level that conflicted with a stakeholder request for immediate feature delivery. How did you communicate the long-term technical debt implications versus the immediate business need?
+ 1 more questions in this round (sign up to unlock)

Unlock all 13 Deepki questions, free

No credit card. Every question with its framework, the grading signals interviewers score against, and a worked answer for each.

Unlock all 13 Deepki questions

Interview tracks at Deepki

How Deepki's DNA translates across functions. Pick your role.

See Software Engineer salaries by country

Compare Deepki with similar employers

Same DNA, different bar. Browse the closest companies in our database and see how their loops differ.

5 rounds

Axle Energy

Same tier

Axle Energy's technical rounds, often led by engineers like Pelle Engineering Claude, prioritize depth in energy syst...

See Axle Energy interview questions

4 rounds

Powerdot

Same tier

Powerdot's technical interviews grade practical expertise in hardware manufacturing and quality control, especially f...

See Powerdot interview questions

4 rounds

Applied Computing

Same tier

Applied Computing's technical screen often probes for depth in energy system optimization, looking for candidates who...

See Applied Computing interview questions

Practice Deepki interviews end-to-end

Deepki Mock Interview

Run a live mock interview with our AI interviewer using Deepki-style prompts. Get scored on structure, signal, and answer length - exactly how the real loop grades you.

Open

STAR Stories for Deepki Behavioral Rounds

Build a Story Bank of your past wins, mapped to the leadership signals Deepki interviewers grade on. Reuse them across every behavioral round.

Open

Deepki Interview Prep Hub

The frameworks behind every Deepki round: CIRCLES for product sense, hypothesis-driven debugging for analytical, STAR for behavioral. Learn each one in 10 minutes.

Open

Interview Frameworks

CIRCLES, STAR, AARRR, RICE, MECE. The exact frameworks that make Deepki interviewers nod instead of frown. Step-by-step playbooks with the moves and the pitfalls.

Open

Sample answers

What a strong answer to these Deepki interview questions shows.

A strong answer shows: Accurate data aggregation by hour; Correct filtering based on time of day; Efficient calculation of averages.

A strong answer shows: Systematic debugging approach; Accurate identification of the root cause; Effective testing to validate the fix; Clear explanation of the bug and solution.

Frequently asked questions

Explore careers on Workfive →