TMS

Compensation

Full Description

Job Description: • Design and build robust backend services and microservices that power the DevX platform ecosystem. • Integrate Large Language Models (LLMs) and custom AI models to enable features like semantic code search, automated refactoring, and natural language infrastructure provisioning. • Act as a technical liaison and co-developer with our India-based engineering team, participating in daily stand-ups and code reviews to ensure architectural alignment. • Implement AI-powered static analysis and code generation tools that improve developer productivity and code safety. • Build highly scalable, event-driven backend systems using Python, Node.js, or Go to handle concurrent processing of large codebases. • Design automated testing frameworks where AI agents generate test cases, execute regressions, and analyze root causes of failures. • Develop integrations for standard CI/CD tools (Jenkins, GitHub Actions) that use AI to predict build failures and optimize deployment pipelines. • Create comprehensive monitoring dashboards to track platform usage, model latency, and accuracy of AI suggestions. • Contribute to the technical roadmap, evaluating new AI tools and frameworks to keep DevX at the cutting edge of the industry. Requirements: • 5-10 years of professional software engineering experience with a focus on backend or full-stack development. • Strong proficiency in Python and JavaScript/TypeScript, with experience in modern frontend frameworks (React/Vue). • Hands-on experience integrating LLM APIs (OpenAI, Anthropic, AWS Bedrock, Azure OpenAI) into production applications. • Proven track record of building internal developer platforms, SaaS products, or complex engineering tools. • Expertise in designing and implementing RESTful APIs and microservices architectures. • Proficiency with AWS, Azure, or GCP, including containerization technologies (Docker, Kubernetes). • Experience working effectively with distributed or offshore engineering teams across time zones. • Strong understanding of CI/CD pipelines, infrastructure-as-code, and modern DevOps practices. • Bachelor's degree in Computer Science, Engineering, or equivalent practical experience. Benefits: • All your information will be kept confidential according to EEO guidelines.