Remote Python Developer: Django, Kubernetes & Terraform

Energy Innovation Corp; Brooklyn Park (MN); On-site; USD 80,000 - 118,000; Full time

Benefits offered by this job

Comprehensive health coverage

Remote hours

Job summary

Energy Technologies LLC is seeking a Python Developer to tackle challenging engineering problems from Brooklyn Park, MN, with remote hours. The role offers a salary ranging from $80,000 to $118,000 and a path to senior technology work within a growing team.

You will break large initiatives into Django increments, own Terraform subsystems, and ensure code quality through linting, testing, and static analysis while contributing to Kubernetes dashboards used by leaders.

Qualifications

• Experience with Agile methodologies and delivering in Brooklyn Park, MN.
• Ability to work on remote projects with disciplined self-management.
• Strong debugging and problem-solving under pressure.
• Familiarity with Django-based development and deployment practices.

Responsibilities

• Break large tech initiatives into Django increments for Brooklyn Park.
• Apply facilitation and networking to mentorship-focused engineering challenges.
• Ensure code quality via automated linting, testing, and static analysis.
• Prototype proof-of-concept solutions for new tech needs.
• Own the Terraform subsystem relied on by the team.
• Write clean, well-tested code that scales with the user base.
• Pull Kubernetes telemetry into dashboards for leaders.

Skills

Clear thinking under pressure

Agile experience

Remote project management

Debugging proficiency

Tools

Django

Terraform

Kubernetes

Job description

Energy Technologies LLC is seeking a Python Developer to tackle challenging engineering problems from Brooklyn Park, MN, with remote hours. The role offers a salary ranging from $80,000 to $118,000 and a path to senior technology work within a growing team.

You will break large initiatives into Django increments, own Terraform subsystems, and ensure code quality through linting, testing, and static analysis while contributing to Kubernetes dashboards used by leaders.