Golang Full Stack developer

Vibesoft Inc; New York (NY); On-site; USD 80,000 - 85,000; Full time

Job summary

Vibesoft Inc. in Mountain View, CA, seeks a senior Golang Full Stack developer for a hands-on, 6-12 month contingent assignment. You will work across TypeScript, Python, Go, and Java to build and operate features, improve AI agent workflows, and strengthen observations.

You'll deploy on Kubernetes, manage AWS infrastructure, and contribute to reliability and performance across the platform while collaborating with a fast-moving team in a cutting-edge AI environment.

Qualifications

• 8+ years of professional software engineering experience.
• Strong full-stack experience with React applications and distributed backend services.
• Experience across TypeScript, Python, Go, and Java.
• Hands-on experience with AI coding agents such as Claude; experience with evaluation platforms is a plus.
• Bachelor's degree in Computer Science or equivalent practical experience.

Responsibilities

• Build and operate features using TypeScript, Python, Go, and Java.
• Improve AI agent workflows with LangGraph, LangChain, and related frameworks.
• Create automated evaluations and tests for multi-step AI experiences.
• Run load and performance tests across the agent, services, and runtime platform.
• Develop and operate Kubernetes controllers, custom resources, Helm charts, and GitOps-based deployments.
• Improve monitoring, structured logging, dashboards, alerting, and reliability.

Skills

Full-stack development

React applications

Distributed backend services

Go Python TypeScript Java

AWS (EKS EC2 S3)

Kubernetes

Observability & monitoring

Communication skills

Education

Bachelor's degree in Computer Science

Tools

LangGraph

LangChain

Claude

Cursor

CDK

CloudFormation

Helm

Job description

Job Title: Golang Full Stack developer
Location: Mountain View, CA (3 days onsite)- NEED LOCAL with DL
Client - Infogain/ W2
Rate:$60/hr.
Visa:GC , GC EAD, USC and H4 EAD
NEED LINKEDIN WITH LOCATION MENTION
NO EDITED RESUME.
We're building an AI-powered platform that enables creation of real, data-connected applications by describing in plain language. The platform will combine a multi-step AI building agent, React-based authoring experiences, distributed backend services, isolated Kubernetes workspaces, and highly available AWS infrastructure.
We're looking for a senior or staff level full-stack engineer who can contribute across this stack. You'll help improve agent quality and performance, build production services and user experiences, strengthen testing and observability, and make the platform more reliable at scale.
This is a hands-on, 6-12-month contingent assignment in a fast-moving environment.

What You'll Do

• Build and operate features using TypeScript, Python, Go, and Java languages.
• Improve AI agent workflows built with LangGraph, LangChain, and related frameworks.
• Create automated evaluations and tests for multi-step, branching AI experiences.
• Run load and performance tests across the agent, services, and runtime platform.
• Develop and operate Kubernetes controllers, custom resources, Helm charts, and GitOps-based deployments.
• Improve monitoring, structured logging, dashboards, alerting, failure recovery, and FMEA coverage.
• Support AWS infrastructure running on EKS, including networking, storage, deployment automation, and multi-region reliability.
• Troubleshoot issues end to end, from the browser and streaming layer through the agent, services, APIs, and infrastructure.

Qualifications

• 8+ years of professional software engineering experience, with ownership of complex production systems.
• Strong full-stack experience, including production React applications and distributed backend services.
• Experience working across TypeScript, Python, Go, and Java languages and codebases.
• Experience with using AI coding agents (Claude, Cursor) to develop code.
• Experience with AI Eval platforms and tools is a plus.
• Strong AWS experience with EKS, EC2, S3, VPC networking, and infrastructure as code using CDK or CloudFormation.
• Applied AI engineering - hands-on experience building or evaluating LLM-powered or agentic applications using Claude Agent SDK, LangGraph, LangChain, or comparable frameworks.
• Experience with websockets, streaming systems, and real-time user experiences.
• Production Kubernetes experience, ideally including CRDs, custom controllers or operators, Helm, and GitOps.
• Strong production observability and operational ownership, including logs, metrics, alarms, incident response, and reliability improvements.
• Experience building active-active or active-passive architectures is a plus
• Ability to learn new systems quickly and work effectively through ambiguity.
• Strong written and verbal communication skills.
• Bachelor's degree or higher in Computer Science or equivalent practical experience.