POSITION SUMMARY- The ideal candidate will play a key role in developing, deploying, and supporting backend data services, pipelines, and platforms. You will be an integral part of our engineering team, contributing to architectural discussions, implementing innovative solutions, and driving best practices across the Software Development Life Cycle (SDLC).
POSITION DUTIES & RESPONSIBILITIES
Develop & Deploy:
• Develop new features, enhance existing functionalities, and resolve defects in data services and pipelines.
• Author code primarily in Go, leveraging Python for data pipelines.
• Utilize configuration languages like YAML and employ CI/CD tools such as GitHub Actions or Google Cloud Build
• Participate in code reviews, sharing constructive feedback and promoting best practices.
• Leverage Infrastructure as Code (IaC) tools like Terraform and manage containerized applications using Docker and Kubernetes.
• Build and consume RESTful and gRPC APIs
Test:
• Advocate for and implement good testing practices, including Test-Driven Development (TDD).
• Develop and maintain unit, integration, acceptance, and performance tests to ensure high-quality software delivery.
Support:
• Own and operate the services you build, troubleshooting and supporting production systems.
• Work closely with end-users to resolve issues and incorporate feedback for continuous improvement.
REQUIREMENTS/PREFERENCES
Education Requirement(s):
• Bachelors in Comp Sci or related field with at least 5 years experience, or Master's with 3 years experience
o At least 3 years working with Golang
o At least 3 years working with Google Cloud Platform
o At least 3 years working with Github
o At least 3 years working with tooling like Terraform or Helm
o At least 3 years working in an agile team
Other Skill & Competency Requirements:
• Programming Languages:
Go (Golang)
Python
•Configuration and Scripting:
YAML
Terraform
Helm
• Cloud Platforms:
Google Cloud Platform (GCP)
• Data Technologies:
SQL Databases: PostgreSQL, Google Cloud SQL
Big Data: Google BigQuery
Event-Driven Systems: Apache Kafka, GCP Pub/Sub
•API and Protocols:
RESTful APIs
gRPC
•Containerization and Orchestration:
Docker
Kubernetes (GKE)
•CI/CD and Source Control:
GitHub
CI/CD Tools: GitHub Actions, Google Cloud Build
•Observability and Monitoring:
Google Cloud Monitoring
•Security:
OAuth
HTTPS and TLS Certificates