Software Engineer II
Role summary
Kraken is seeking a Software Engineer II to contribute to its mission of creating a smart, sustainable energy system. This role involves tackling complex design and technical challenges within the US energy market, including domain modeling and processing large volumes of data for consumption prediction and machine learning pipelines. The ideal candidate will have a minimum of 5 years of professional Python software development experience, proficiency with Django, Django REST Framework, Celery, and Postgres, and a strong understanding of HTTP and REST APIs. Experience with AWS and related cloud infrastructure tools is preferred. This is a hybrid role with a salary range of $85K-$155K in NYC.
Help us use technology to make a big green dent in the universe!
Kraken
powers some of the most innovative global developments in energy.
We’re a technology company focused on creating a smart, sustainable energy system. From optimising renewable generation, creating a more intelligent grid and enabling utilities to provide excellent customer experiences, our operating system for energy is transforming the industry around the world in a way that benefits everyone.
It’s a really exciting time in energy. Help us make a real impact on shaping a better, more sustainable future.
What you'll do:
- We have lots of difficult design challenges to solve. The US energy market is complicated, outdated and process-heavy - there's a lot of domain modelling that we need to get right. Strong attention to detail is essential
- We have difficult technical problems to solve. With the advent of smart meters, we'll soon be processing millions of meter readings a day. We need the right technology in place to handle this smoothly as well as feeding data into a machine learning pipeline that models and predicts consumption
- Often, we can only give you the question and not the answer, because if we knew the answer, we wouldn’t be hiring - are you someone who not only finds answers but creates value by coming back and asking better questions?
- There's a great opportunity for disruption in the US energy market. The big suppliers still dominate, but are not popular. The energy landscape is changing as we move to more dis-aggregated forms of generation, with less predictability, more dynamism and smarter technology. Octopus Energy were the first UK supplier to introduce a "tracker" tariff whose prices track the daily wholesale prices: http://www.cleanenergynews.co.uk/news/efficiency/octopus-offers-transparency-with-wholesale-price-tariff
- You'll be working for a company that’s fighting climate change. Our parent company is the largest investor in solar generation in the UK, and are funding wind and anaerobic digestion. As a supplier, we're helping people to use greener technology and renewable energy, all helping move the UK towards a lower carbon future
What you'll have:
- A minimum of 5 years of professional python software development experience is required.
- General interest in technology and problem-solving; Diligent and thoughtful
- Good communication skills
- Python
- Django
- Django REST Framework
- Domain modelling
- HTTP and REST APIs
- Writing robust and fault-tolerant software
- Celery and async processing
- Postgres
- Legally able to work within the USA
Plus experience in the following would be a bonus:
- AWS
- Terraform, Packer, Consul
- React and Redux
- Professional understanding of the US energy domain
What you'll love about us
- Great
medical,
dental
, and
vision insurance
options including FSAs
- paid time off
— we know working hard means also being able to recharge as needed, we trust our employees to get the work done and take the time they need
- 401(k) plan
with employer match
- Parental leave
. Biological, adoptive and foster parents are all eligible.
- Pre-tax commuter benefits
- Flexible working environment
: you need to shift around your schedule? You do you, we genuinely believe in work/life balance.
- Equity Options
: every Octopus employee owns part of the business. We’re a team, working together towards huge goals. Every person is crucial to our success, you should be rewarded as such.
- Modern office
or co-working spaces depending on location
- We hire a wide range of experience levels into our software teams. The
salary range
for this position in NYC ranges on average from $85K-$155K (with some flexibility) depending on relevant experience, role alignment, and technical expertise demonstrated throughout the interview process. While the full salary range is listed, not all candidates will be placed at the top of the range—this will be determined by the overall fit for the position. If you have questions about this, just ask! Our recruiters are happy to provide more context.
Kraken is a certified Great Place to Work in France, Germany, Spain, Japan and Australia. In the UK we are one of the Best Workplaces on Glassdoor with a score of 4.7. Check out our Welcome to the Jungle site (
FR
/
EN
) to learn more about our teams and culture.
*Are you ready for a career with us? We want to ensure you have all the tools and environment you need to unleash your potential. If you have any specific accommodations or a unique preference, please contact us at inclusion@kraken.tech and we'll do what we can to customise your interview process for comfort and maximum magic!*
*Studies have shown that some groups of people, like women, are less likely to apply to a role unless they meet 100% of the job requirements. Whoever you are, if you like one of our jobs, we encourage you to apply as you might just be the candidate we hire. Across Kraken, we're looking for genuinely decent people who are honest and empathetic. Our people are our strongest asset and the unique skills and perspectives people bring to the team are the driving force of our success. As an equal opportunity employer, we do not discriminate on the basis of any protected attribute. We consider all applicants without regard to race, colour, religion, national origin, age, sex, gender identity or expression, sexual orientation, marital or veteran status, disability, or any other legally protected status. U.S. based candidates can learn more about their EEO rights here.*
*Our (i)*
*Applicant and Candidate Privacy Notice and Artificial Intelligence (AI) Notice*
*, (ii)*
*Website Privacy Notice*
*and (iii)*
*Cookie Notice*
*govern the collection and use of your personal data in connection with your application and use of our website. These policies explain how we handle your data and outline your rights under applicable laws, including, but not limited to, the General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA). Depending on your location, you may have the right to access, correct, or delete your information, object to processing, or withdraw consent. By applying, you acknowledge that you’ve read, understood and consent to these terms*
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Sample Kraken interview questions
- 1
Maximum Subarray Sum Find the maximum subarray sum in an integer array. Input: nums = [-3,-4,-1,-2] Output: -1 Explanation: Kadane's algorithm correctly identifies that the single isolated element -1 provides the highest possible sum.
technicalmedium - 2
Sort a String by Frequency Sort a string by the frequency of its characters. Input: s = "cccaaa" Output: "cccaaa" or "aaaccc" Explanation: Both 'c' and 'a' appear three times, so sorting them by descending frequency keeps them grouped equally.
codingmedium - 3
Clone an Undirected Graph Clone an undirected graph. Input: adjList = [[]] Output: [[]] Explanation: Creates a new, deeply cloned graph containing only one single node with zero connected neighbors.
codingmedium - 4
Lowest Common Ancestor on an N-ary Tree Find the lowest common ancestor on an N-ary tree. Input: root = [1,null,2,3,4], p = 2, q = 3 Output: 1 Explanation: Both nodes 2 and 3 are direct children of the root node 1, making 1 the lowest common ancestor.
codingmedium - 5
Iterator over a Binary Search Tree Implement an iterator over a binary search tree. Input: root = [7,3,15,null,null,9,20], calls: next(), hasNext(), next() Output: 3, TRUE, 7 Explanation: The iterator yields the smallest value (3), confirms more nodes exist, then properly yields the next in-order value (7).
codingmedium
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