Full stack Software Engineer
Peaklnk Technologies, Inc.
Pomona, CA, United States
4 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
8 years minimum
Working hours
Regular working hours
Job source
Tech stack
Application Programming Interfaces (APIs)
Artificial Intelligence
Microsoft Azure
Cloud Computing
Continuous Integration
DevOps
Python (Programming Language)
PostgreSQL
NoSQL
Systems Development Life Cycle
Cloud Services
Next.js
+15 more
SQL Databases
SQLAlchemy
Systems Integration
TypeScript
Web Applications
Google Cloud
Large Language Models
Software Security
Generative AI
Git
Event Driven Architecture
Build Management
Information Technology
Restful APIs
Microservices
Job description
- Develop modern web applications, APIs, and enterprise integrations.
- Design and build cloud-native solutions on Azure and/or Google Cloud Platform.
- One out of four roles need to have full stack and AI experience in Google Cloud Platform. Other three in full stack and Azure AI ecosystem.
- Implement scalable microservices and event-driven architectures.
- Support CI/CD, DevOps, and application security best practices.
- Integrate AI/LLM capabilities into business workflows.
- Collaborate with architects, product owners, and business stakeholders.
- Mentor junior engineers and contribute to technical standards.
Requirements
- Bachelor’’s degree in Computer Science, Engineering, or related field.
- 8+ years of full-stack software development experience.
- AI - experience with using AI in SDLC, implementing RAG, evaluating LLM etc.
-
Strong experience with:
- Next.js, Typescript, Python
- PostgreSQL, Drizzle and/or SQLAlchemy ORM
- REST APIs and microservices
- SQL/NoSQL databases
- Azure and/or Google Cloud Platform cloud services
- Git, CI/CD, and DevOps practices
Strong problem-solving, communication, and collaboration skills.
Preferred Qualifications
- Experience building AI-enabled applications.
- Knowledge of Azure OpenAI, Vertex AI, RAG, and Generative AI solutions.
- Experience with enterprise workflow automation and integrations.
- Familiarity with utility, engineering, construction, or permitting systems.
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