Key Responsibilities:
Lead
the design and implementation of cloud-native microservices using Python
FastAPI, Pydantic, and Async I/O.
Architect,
build, and optimize APIs, worker services, and event-driven systems
leveraging Confluent Kafka.
Define
and enforce coding standards, testing strategies, and development best
practices.
Implement
CI/CD pipelines using GitHub Actions or other tools and manage secure and
scalable deployments.
Work
with Docker, Terraform, and GCP infrastructure services including Cloud
Run, Pub/Sub, Secret Manager, Artifact Registry, and Eventarc.
Guide
the integration of monitoring and observability tools such as Recent Relic,
Cloud Logging, and Cloud Monitoring.
Drive
initiatives around performance tuning, caching (Redis), and data
transformation including XSLT, XML/XSD processing.
Support
version control and code collaboration using Git/GitHub.
Mentor
team members, conduct code reviews, and ensure quality through unit
testing frameworks like Pytest or unittest.
Collaborate
with stakeholders to translate business needs into scalable and




maintainable solutions.

Mandatory Skills:

Programming & Frameworks:
Expert
in Python and experienced with FastAPI or
equivalent web frameworks.
Robust
knowledge of Async I/O, Pydantic Settings
Hands-on
with Pytest or unittest
Experience
with Docker, Terraform, and Kafka (Confluent)

Version Control & DevOps:
Experience
with any version control
Proven
CI/CD pipeline implementation experience

Cloud & Infrastructure:
Hands-on
experience with any cloud provider

Data Processing:
Knowledge
of XSLT transformations, XML/XSD processing

Monitoring & Observability:
Familiar
with integrating monitoring/logging solutions, Recent relic preferred.

Databases & Storage:
Experience
with any database/storage solution
Understanding
of caching mechanisms

Good to Have Skills:

Development & Testing
PyPI
package creation
Tox
Ruff
(Python linting)
Basic Bash scripting

Data Formats f

📌 Senior Python Developer Hyderabad (India)
🏢 Genzeon Global
📍 India