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Day Shift Aws Developer Jobs (NOW HIRING)

Drunix Solution Inc

AWS Developer

Newark, NJ · On-site

Hi, Greetings of the day!! AWS + AI-Native Developer profile. He/she needs to work in hybrid model, at least 2 days from Whippany NJ office. An AWS + AI-Native Developer (or AI-Native Engineer ...

New

Onebridge

AWS Devops Cloud Engineer

Indianapolis, IN · On-site +1

$50.50 - $69/hr

Location : Hybrid in Indianapolis, IN (3 days/week onsite) AWS DevOps Cloud Engineer | About You As an AWS DevOps Cloud Engineer, you are responsible for executing and supporting application ...

Onebridge

AWS Devops Cloud Engineer

Indianapolis, IN · On-site

$50.50 - $69/hr

Location : Hybrid in Indianapolis, IN (3 days/week onsite) AWS DevOps Cloud Engineer | About You As an AWS DevOps Cloud Engineer, you are responsible for executing and supporting application ...

Onebridge

AWS Devops Cloud Engineer

Indianapolis, IN · Hybrid

$50.50 - $69/hr

Location : Hybrid in Indianapolis, IN (3 days/week onsite) AWS DevOps Cloud Engineer | About You As an AWS DevOps Cloud Engineer, you are responsible for executing and supporting application ...

Accord Technologies Inc.

AWS Devops Engineer

New York, NY · On-site

$57.75 - $79/hr

NYC (Hybrid 3 days a week) Face to face interview after Video Position type: W2 contract. We are looking for a senior AWS Devops Engineer We're specifically seeking someone with the following skills:

Kanak Elite Services Inc

AWS DevOps Engineer

Malvern, PA · On-site

$51.75 - $71/hr

Malvern, PA(Hybrid- 3 days a week onsite & must be willing to relocate and be onsite on day 1) Responsibilities Senior DevOps Engineer specializing in AWS cloud services, fraud prevention, and ...

Intellisoft Technologies

AWS DeVops Engineer - W2

Plano, TX · On-site

$50.75 - $69.50/hr

Plano, TX (Hybrid - 3 days onsite/week) Duration: 6+ Months Contract (Open-ended) *** ONLY W2 *** Job Summary: We are seeking an experienced DevOps AWS Engineer to design, automate, and manage cloud ...

Intellisoft Technologies

AWS Devops Engineer - W2

Plano, TX · On-site

$50.75 - $69.50/hr

Plano, TX (Hybrid - 3 days onsite/week) Duration: 6+ Months Contract (Open-ended) Job Summary: We are seeking an experienced DevOps AWS Engineer to design, automate, and manage cloud infrastructure ...

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How much do day shift aws developer jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for day shift aws developer in the United States is $54.05, according to ZipRecruiter salary data. Most workers in this role earn between $38.70 and $64.42 per hour, depending on experience, location, and employer.
What cities are hiring for Day Shift Aws Developer jobs? Cities with the most Day Shift Aws Developer job openings:
What are the most commonly searched types of Shift Aws Developer jobs? The most popular types of Shift Aws Developer jobs are:
What states have the most Day Shift Aws Developer jobs? States with the most job openings for Day Shift Aws Developer jobs include:
Day Shift Aws Developer jobs near you
Infographic showing various Day Shift Aws Developer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 68% Full Time, 26% Part Time, and 5% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $112,422 per year, or $54 per hour.

AWS Developer

Drunix Solution Inc

Newark, NJ • On-site

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This job post has expired today. Applications are no longer accepted.

Job description

Hi,

Greetings of the day!!

AWS + AI-Native Developer profile.

He/she needs to work in hybrid model, at least 2 days from Whippany NJ office.

Job Description:

An AWS + AI-Native Developer (or AI-Native Engineer) experienced to build applications with Artificial Intelligence embedded using AWS Bedrock, into their core architecture, workflows, and delivery lifecycle from day one, rather than treating AI as a tacked-on feature. Focus mainly on model training, AI-native developers specialize in using AI to write code, leveraging LLMs (Large Language Models), and constructing agentic workflows to accelerate production.

Core Responsibilities

  • AWS - Hands on with core services (EC2, EKS, DynamoDB, Lambda, API Gateway, S3)
  • AWS Bedrock
  • Agentic & LLM System Development: Build autonomous or semi-autonomous agents, orchestrate agent planning loops, manage tool calling, and implement memory modules.
  • AI-Powered Coding: Use AI tools (e.g., Cursor, GitHub Copilot, Claude Code) to rapidly prototype and generate production-ready code.
  • RAG Pipeline Construction: Develop Retrieval-Augmented Generation (RAG) systems using vector databases and semantic search.
  • API/SDK Integration: Integrate LLMs (OpenAI, Anthropic) into applications using function calling, structured outputs, and workflow automation.
  • Production Deployment: Take AI prototypes from Proof of Concept (PoC) to deployment using cloud platforms (AWS, Google Cloud Platform, Azure, Vercel).

Required Technical Skills

  • Programming Languages: High proficiency in Python and TypeScript/JavaScript (React, Next.js, Node.js).
  • AI Frameworks & Libraries: Experience with LangChain, LangGraph, LlamaIndex, or Semantic Kernel.
  • Vector Databases: Familiarity with technologies such as Pinecone, Chroma, Milvus, or Vertex AI Vector Search.
  • Development Tools: Hands-on experience with AI coding tools such as Cursor, Claude Code, and GitHub Copilot.
  • Software Engineering Fundamentals: Strong understanding of Git, debugging, testing, API design, and clean code principles.

Preferred Qualifications

  • Experience building custom GPTs, Claude Projects, or Multi-agent orchestration.
  • Understanding of AI governance, security, and "human-in-the-loop" mechanisms.
  • Experience with DevOps and MLOps tools (MLFlow, Kubeflow).

Key Characteristics

  • AI-Centric Mindset: Solves problems by blending human judgment with machine intelligence, producing 3–10× more output.
  • Adaptability: Learns new AI tools faster than the industry can create them.
  • Product Focus: Focuses on building, optimizing, and deploying AI applications quickly rather than just researching models.
 
 
 

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