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DXC Luxoft
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Senior Backend Python Developer

DXC LuxoftHyderabad, India
Work model
Office
Experience
5+ years
Employment
Full Time
Compensation
Not disclosed
Technology signal
12 tags

Technology context

12

Parsed from the vacancy text; ordered by relevance to this role.

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Role description

Project description

The Engineer will develop Python 3.10 backend services, Backend-for-Frontend (BFF) APIs, integrate application workflows into CryoFlow, and deliver new product features.

Responsibilities

  • · Contribute to the refactor of existing backend capabilities into Python 3.10 services aligned with CryoFlow architecture and deployment practices.

· Create and maintain BFF services using FastAPI and Uvicorn, exposing clear API routes for product workflows, integration screens and front-end consumers.

· Help define service boundaries in a microservice architecture, with a pragmatic approach to simplifying or consolidating backend services when it improves maintainability.

· Integrate workflows into CryoFlow, including vitrification experiments, worklists, grid details, user/session consistency and navigation between application contexts.

· Help the team design, implement and deliver new product features after the initial integration work, with ownership from analysis to tested delivery.

· Implement backend logic for status updates, validation, data persistence, device/session edge cases, report-generation helpers and user-facing error handling.

· Collaborate with front-end developers on Angular integration; Angular v17 or similar modern Angular experience is a strong plus for debugging and small feature delivery.

· Write and maintain tests for Python services and integration flows, including API tests, BFF route tests, mocked external calls and regression tests for known issues.

· Investigate and fix product behavior issues by reading logs, reproducing scenarios, checking data consistency and validating fixes end to end.

· Work with DevOps and CI/CD owners on deployment-related needs such as Docker images, pipeline behavior, SBOM/release build expectations and environment validation.

· Use Kubernetes knowledge when available to inspect pods, readiness/liveness behavior, service health, configuration and deployment problems in DEV or integration environments.

· Document API behavior, BFF responsibilities and known edge cases so the team can operate and evolve the integrated product sustainably.

SKILLS

Must have

  • · Solid Python development experience, ideally with Python 3.10 in backend services or API-oriented applications.

· Hands-on experience with FastAPI and Uvicorn, including route design, validation, dependency injection patterns, async behavior and operational logging.

· Experience creating or maintaining BFF layers that adapt backend/domain services for front-end workflows.

· Good understanding of REST APIs, data validation, error handling, service-to-service calls and backend integration testing.

· Familiarity with microservice architecture and the trade-offs around splitting, combining or simplifying services.

· Ability to debug product issues across backend code, API responses, logs, databases, front-end symptoms and deployment state.

· Strong autonomy and ownership, with enough communication discipline to keep product, QA and other developers aligned.

· A practical testing mindset: unit tests, API tests, integration tests, mocks/fixtures and regression checks for realistic product scenarios.

Nice to have

· Angular v17 experience is a major plus, especially for integrating BFF routes with user workflows and helping with front-end debugging.

· Experience with Kubernetes basics: pods, services, logs, readiness/liveness probes, ConfigMaps, secrets and deployment troubleshooting.

· Experience with Docker and CI/CD pipelines, especially for Python services, release builds, SBOM generation and automated test execution.

· Experience helping a team develop a product after initial delivery, including triage, reproduction, root-cause analysis and close collaboration with QA.

· Knowledge of authentication/session handling, token refresh and multi-user edge cases.

· Familiarity with scientific, device-driven or laboratory workflows where state transitions and data consistency are important.