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 New 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.

- Strong
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, Current relic preferred.


Databases & Storage:

- Experience
with any database/storage solution

- Understanding
of caching mechanisms