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Kraken Technologies

Cloud-based DERMS enabling real-time energy trading

Mid-level Software Engineer - Backend, Python/Django

Backend EngineeringConfirmed live in the last 24 hours
Full-timeNo salary listed

About the Job

Requirements

  • Strong technical coding ability comparable to a senior engineer, with support provided for broader architectural complexity and cross-domain challenges.
  • Experience or skills in Python and Django, or an equivalent web framework.
  • Knowledge of domain modeling and architectural design.
  • Knowledge of GraphQL.
  • Ability to write robust, fault-tolerant software.
  • Knowledge of Celery and asynchronous processing.
  • Knowledge of PostgreSQL.

Responsibilities

  • Solve complex energy-sector domain modeling challenges by writing robust, fault-tolerant software primarily in Python, Django, GraphQL, Celery, and PostgreSQL.
  • Write clean code and unit, integration, and functional tests covering expected, boundary, and exceptional scenarios.
  • Use structured methods to debug production issues, learn from failures, and build familiarity with a large, complex codebase.
  • Write clear, useful documentation for new and existing features for the team and non-technical stakeholders.
  • Share opinions respectfully, accept actionable feedback, and contribute to a supportive, growth-focused team culture.
  • Own and deliver medium-sized engineering problems, address system observability gaps, and manage technical escalations independently.
  • Mentor junior engineers, assist with onboarding new team members, and participate in hiring debriefs.
  • Work across domains to explain technical work, promote engineering practices for performance, security, and testability, and help brainstorm solutions.

Desired Qualifications

  • Experience with AWS, Terraform, or Kubernetes.
  • Experience with one or more frontend frameworks.

About the Company

Kraken Technologies

Cloud-based DERMS enabling real-time energy trading

KrakenFlex provides a cloud-based DERMS that lets asset owners, energy traders, and retailers monitor and control distributed energy resources in real time. It connects to a wide range of DERs—from storage and generation facilities to residential devices and electric vehicles—and optimizes their output to participate in ancillary and wholesale markets. The product is offered as software-as-a-service (SaaS) with subscription fees (and possibly transaction-based fees for market activities) and is designed for sub-second response times with comprehensive monitoring. Its goal is to help clients maximize value from their energy assets by coordinating DERs across multiple markets from a single platform.

Company size
1,001-5,000
Company stage
Early VC
Total funding
$1B
Headquarters
London, United Kingdom
Founded
2014

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