Senior Python Developer

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, New 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 for Kafka: JSON, Avro, Protobuf

Version Control & CI/CD: Proficient with
GitHub and GitHub Actions

GCP Experience in:

Cloud Storage, Eventarc, Cloud Run, GKE
Autopilot

• Secret
  Manager, Artifact Registry, Workload Identity Federation
  
• Pub/Sub,
  Cloud Logging, Cloud Monitoring
  
• IAM,
  VPC networking
  

Databases & Storage:

• Familiarity with PostgreSQL, MS SQL Server, IBM AS/400, Redis
  

Soft Skills:

• Strong
  leadership and mentoring skills
  
• Excellent
  communication and cross -functional collaboration
  
• Analytical
  mindset with problem -solving capabilities
  
• Drive
  for continuous learning and improvement