Software Engineer - Google Cloud​/LLM

Backend Developer

Join a dynamic team focused on developing and maintaining the back-end/server-side parts of applications, leveraging Google Cloud and LLM technologies. This role involves working with various languages and tools to create and maintain services on-prem or in the cloud.

• 2 or more years of professional experience in backend software engineering with a focus on cloud-native services on GCP or equivalent cloud platforms
• Proficiency in Python, C++, and Java for backend service development
• Experience designing and implementing REST and gRPC APIs, with strong grasp of API versioning, backward compatibility, and documentation practices
• Hands-on experience with GCP services including Cloud Run, GKE, Pub/Sub, Cloud Build, and Cloud Logging
• Experience with event-driven architecture patterns and message queue systems;
  Kafka familiarity is a strong plus
• Solid understanding of CI/CD pipeline design and implementation in a Git Hub-based development workflow
• Experience instrumenting services with Open Telemetry or equivalent observability frameworks
• Demonstrated ability to write clean, testable, well-documented code in a collaborative team environment
• Prior work experience at client or in client's Industry

Applicants must be able to work directly for Artech on W2

• Experience integrating with LLM inference APIs or AI engine backends
• Familiarity with automotive data formats or telematics data structures
• Google Cloud Professional Cloud Developer certification
• Familiarity with OpenAPI specification and API gateway patterns on GCP

• Engage with customers to understand their use-cases and requirements
• Solve complex problems by designing, developing, and delivering using various tools, languages, frameworks, and technologies
• Align with architecture guidelines for a unified and coherent approach to development
• Design, develop, and deliver new code using various tools, languages, frameworks, and technologies
• Develop and maintain back-end applications like APIs and microservices using server-side languages like Java, Python, C#, etc.
• Collaborate with front-end developers to integrate user interface elements and with cross-functional teams like product owners, designers, architects, etc.
• Manage application deployment to the cloud or on-prem, health and performance monitoring, security hardening, and disaster recovery for deployed applications
• Manage data storage and retrievals in applications by utilizing database technologies such as Oracle, MySQL, MongoDB, etc.
• Promote improvements in programming practices, such as test-driven development, continuous integration, and continuous delivery
• Optimize back-end infrastructure and deployment practices to improve application resiliency and reliability
• Support security practices to safeguard user data including encryption and anonymization