Back-end Software Development Engineering Senior Engineer

V2Soft

$100K — $130K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 2+ years professional experience in backend software engineering, especially in cloud-native services
  • Proficiency in Python, C++, and Java for backend service development
  • Strong understanding of REST and gRPC APIs, with API versioning skills
  • Hands-on experience with GCP services like Cloud Run, GKE, and Pub/Sub
  • Experience in CI/CD pipeline design and implementation using GitHub

Responsibilities

  • Engage with customers to gather requirements for backend systems
  • Design, develop, and deliver scalable server-side applications
  • Collaborate closely with front-end developers to integrate APIs and services
  • Manage application deployment and monitor health and security
  • Optimize backend infrastructure for improved application reliability

Benefits

  • Hybrid work model with 4 days weekly onsite
  • Opportunities for professional development and certification
  • Access to cutting-edge tools and technologies in cloud services
  • Collaborative and innovative team environment
  • Focus on best programming practices and continuous improvement
Full Job Description
Position Description:
Employees in this job function develop and maintain the back-end/ server-side parts of an application, typically consisting of APIs, databases and other services containing business logic. They work with various languages and tools to create and maintain services on-prem or in the cloud. Key Responsibilities: 1. Engage with customers to understand their use-cases and requirements 2. Solve complex problems by designing, developing, and delivering using various tools, languages, frameworks, and technologies 3. Align with architecture guidelines for unified and coherent approach to development 4. Design, develop, and deliver new code using various tools, languages, frameworks, and technologies 5. Develop and maintain back-end applications like APIs and microservices using server-side languages like Java, Python, C#, etc. 6. Collaborate with front-end developers to integrate user interface elements and with cross functional teams like product owners, designers, architects etc. 7. Manage application deployment to the cloud or on-prem, health and performance monitoring, security hardening and disaster recovery for deployed applications 8. Manage data storage and retrievals in applications by utilizing database technologies such as Oracle, MySQL, MongoDB, etc. 9. Promote improvements in programming practices, such as test-driven development, continuous integration, and continuous delivery 10. Optimize back-end infrastructure and deployment practices to improve application resiliency and reliability 11. Support security practices to safeguard user data including encryption and anonymization
Skills Required:
GCP Cloud Run, Computer engineering, C++, GitHub, REST APIs, Google Cloud Platform, Cloud Infrastructure, Microservices, Java, Python
Skills Preferred:
Telematics, Artificial Intelligence & Expert Systems
Experience Required:
WHAT YOU WILL BRING • 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 given TOP's observability stack • Solid understanding of CI/CD pipeline design and implementation in a GitHub-based development workflow • Experience instrumenting services with OpenTelemetry or equivalent observability frameworks • Demonstrated ability to write clean, testable, well-documented code in a collaborative team environment
Experience Preferred:
NICE TO HAVE • 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
Education Required:
Bachelor's Degree
Education Preferred:
Certification Program
Additional Information :
HYBRID 4 days weekly onsite

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