Python Engineer

DysrupIT is a leading global-based cloud services company. We support clients across the globe in their adoption of the cloud and their transformation to as-a-Service business models. DysrupIT is dedicated to making a positive impact in the communities it serves.

We are constantly looking for talented people to join our team. We offer a unique and extraordinary career experience to motivate and inspire talents like you to make a difference in our customers, clients, and the entire organization. At DysrupIT, you’ll join a team of dedicated and brilliant professionals who share the same goal of pursuing integrity and excellence. We are committed to promoting a culture where employees are valued and respected. We invest in our employees and make sure that they will have the right training to secure their growth and advancement towards their career aspirations.

We are seeking an Engineer with 3+ years of Python data or backend experience to build the configuration, services, and output layers of a cloud-based data platform on Google Cloud Platform (GCP). This role focuses on developing reliable Python services, managing versioned configuration in Firestore, and generating business-ready outputs, including Excel reports.

The ideal candidate writes well-tested, type-checked Python, is comfortable deploying and operating services on GCP, and applies infrastructure-as-code and least-privilege security principles. You will work closely with data engineers and stakeholders to deliver dependable, maintainable services.

• Design, build, and maintain Python services and APIs using pydantic and FastAPI (or similar frameworks).
• Develop and manage configuration data in Firestore, including transactions and versioned documents.
• Build and maintain processes that sync Firestore data to BigQuery.
• Generate formatted Excel outputs and reports using openpyxl.
• Deploy and operate services on Cloud Run, Cloud Storage, and scheduled jobs.
• Provision and manage cloud infrastructure using Terraform.
• Build and maintain CI/CD pipelines for automated testing and deployment.
• Configure IAM roles and least-privilege service accounts.
• Write behavioural and property-based tests to ensure code correctness.
• Maintain code quality through type checking (pyright) and linting (ruff).
• Collaborate with data engineers and stakeholders to translate requirements into working services.
• Troubleshoot and resolve issues across services, integrations, and deployments.

• 3+ years of Python data or backend engineering experience.
• Strong Python skills, including pydantic and FastAPI (or similar frameworks).
• Experience generating Excel files using openpyxl.
• Hands-on GCP experience, including Firestore (transactions, versioned documents), Cloud Run, Cloud Storage, and scheduled jobs.
• Experience syncing data from Firestore to BigQuery.
• Experience with Terraform and CI/CD pipelines.
• Understanding of IAM and least-privilege service account design.
• Experience writing behavioral and property-based tests.
• Experience with type checking (pyright) and linting (ruff).

• Front-end development experience.
• Experience working on financial, billing, or data-intensive platforms.
• Experience working within Agile or Scrum delivery environments.

• Competitive compensation package commensurate with experience.
• Government-mandated benefits plus supplemental HMO coverage.
• Collaborative and professional work environment.
• Career growth opportunities within a growing organization.
• Hybrid/Remote work arrangement (where applicable).

Originally posted on Himalayas