Senior Cloud Software Engineer

Overview

On Site

$50 - $55

Contract - W2

Contract - Independent

Contract - 12 Month(s)

Skills

Agile

Amazon Web Services

Analytical Skill

Ansible

Artificial Intelligence

Cloud Computing

Collaboration

Communication

Conflict Resolution

Continuous Delivery

Continuous Integration

Database

Development Testing

Docker

Git

Good Clinical Practice

Google Cloud Platform

Grafana

IaaS

Jenkins

Kubernetes

LangChain

Large Language Models (LLMs)

Leadership

Machine Learning (ML)

Management

Microservices

Microsoft Azure

MongoDB

MySQL

NoSQL

Optimization

PostgreSQL

Problem Solving

Programming Languages

Provisioning

PyTorch

Python

Quality Assurance

RESTful

Redis

Roadmaps

SQL

Scalability

Scrum

Software Design

Software Development

TensorFlow

Terraform

Testing

User Experience

User Stories

Cloud Management

DevOps

Language Models

RTP

SaaS

Software Engineering

Job Details

Role Summary

The client is looking for a Senior Software Engineer with strong cloud-native development experience, AI/ML integration skills, and DevOps practices to work onsite 5 days/week at RTP or San Jose.
They need someone hands-on in Python, Go, microservices, Kubernetes, APIs, and capable of building automation/tools for hybrid cloud infrastructure.
This role combines software engineering, AI/ML development, and platform automation.

Mandatory Details from JD

Requirement	Details
Role Title	Senior Software Engineer
Location	RTP, NC or San Jose, CA — 100% onsite (5 days/week)
Duration	12+ months

Visa	Any visa except OPT & CPT
Notice Period	Max 2 weeks

Urgency	At least 1–2 resumes by EOD

Experience & Skills Breakdown

Skill Category	Skill / Requirement	Experience Required	Mandatory / Preferred
Programming Languages	Python, Go	5+ years in enterprise-level development	Mandatory
Cloud Platforms	Cloud-native architecture, Hybrid cloud management	5+ years	Mandatory
Containerization & Orchestration	Kubernetes, Docker	3–5+ years	Mandatory
Microservices Development	Design & develop microservices and APIs	3–5+ years	Mandatory
API Development	RESTful services, APIs	3–5+ years	Mandatory
AI/ML Development	Large Language Models (LLMs), LangChain, LangGraph, PyTorch, TensorFlow	2+ years	Mandatory
Databases	SQL (MySQL, PostgreSQL) + NoSQL (MongoDB, Redis)	3+ years	Mandatory
DevOps Tools	Git, Jenkins, SonarQube, Artifactory, Kubernetes CI/CD	3–5 years	Mandatory
Infrastructure as Code (IaC)	IaC practices, automation mindset	2+ years	Mandatory
Collaboration	Agile development, strong communication skills	N/A	Mandatory
UI/UX	UI/UX experience	N/A	Preferred
AI/ML Ops	RAG, ML model deployment in production	1–2 years	Preferred

Key Responsibilities

Develop automation tools and cloud platform features in a DevOps model.
Design & implement AI/ML solutions (LLMs, LangChain, PyTorch, TensorFlow).
Collaborate with core services teams and product managers.
Deploy & manage microservices in Kubernetes environments.
Automate testing and deployment pipelines.
Champion Infrastructure as Code (IaC) adoption.
Provide operational support, bug fixes, and enhancements for production.

What the Client is Looking For

Hands-on coder (not just an architect) with cloud, automation, and AI/ML experience.
Strong Python + Go background.
Direct microservices + Kubernetes + DevOps expertise.
AI/ML integration with real-world applications (LangChain, PyTorch).
Ability to work onsite full-time with no remote flexibility.
Fast availability (max 2 weeks notice).

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.