Job ID 161 - Software Consultant (Python Backend Developer)

We’re a new generation software company based in Hyderabad, helping to scale digital businesses to disrupt global utility retail markets. We provide technology development, customer experience and process optimisation services to support our award-winning utility retailers in New Zealand and Australia.

It’s an exciting time where traditional utilities need to innovate. Consumers expect companies to do good for their employees, customers, local communities, and for the future of the planet (all while offering seamless user experience that’s great value). Our strategy recognises that the exceptional technology we create makes us one of the best consumer facing businesses in our industry.

Our Culture: The “Real” Deal We don’t just build software; we build careers through our Employee Value Proposition (EVP):

Real Growth: Learning is integral to delivery. We provide clear pathways and role-based upskilling and certifications.

Real Care: energytec elevate (e2): 3 hours of protected in-work learning time each week to enable sustainable high performance, continuous development, and long-term career growth; we value sustainable impact over burnout.

Real Impact: Turn your learning into a legacy. Work with Practice Champions to strengthen our platform architecture and reduce dependencies.

Job description Software Consultant – Python Developer

About the role We are looking for a Software Consultant to contribute to the development and delivery of scalable, secure, and reliable software solutions for our product platform. This role is ideal for a strong hands-on engineer with experience in backend development, cloud technologies, CI/CD, and Agile, who works effectively with cross-functional teams to build high-quality solutions.

AI-first engineering at energytec.ai At energytec.ai (eTEC), we build with an AI-first mindset. We are a human-led, agent-operated organization where engineers own outcomes and use AI responsibly to accelerate delivery, improve quality, and strengthen platform resilience.

Apply AI across the SDLC: design assistance, coding, test generation, security checks, documentation, incident summarization, and runbook automation.