AWS Technical Lead- AWS SageMaker

Overview

On Site
$60 - $65
Contract - W2
Contract - Independent
Contract - 12 Month(s)
Able to Provide Sponsorship

Skills

API
Amazon DynamoDB
Amazon EC2
Amazon RDS
Amazon Redshift
Amazon S3
Amazon SageMaker
Amazon Web Services
Artificial Intelligence
Cloud Architecture
Cloud Computing
Cloud Security
Collaboration
Communication
Conflict Resolution
Continuous Delivery
Continuous Integration
Data Engineering
Design Patterns
DevOps
Docker
Electronic Health Record (EHR)
Git
GitHub
IT Management
Identity Management
Jenkins
Kubernetes
Leadership
Machine Learning (ML)
Java
Management
Mentorship
Migration
Natural Language Processing
Node.js
Optimization
Performance Tuning
Problem Solving
Python
Real-time
Regulatory Compliance
Reliability Engineering
Remote Desktop Services
Scalability
Software Development
Software Development Methodology
Stakeholder Management
Systems Design
Terraform
Testing
Version Control

Job Details

Job Title: AWS Technical Lead
Location: Austin, TX (Full Onsite)

Visa: Any (NO OPT & CPT)
Experience: 15+ Years (Mandatory)
Client: NEXTURN
Immediate Requirement Need Urgent Profiles


Job Description

We are seeking an AWS Technical Lead with 15+ years of IT experience and proven expertise in designing, architecting, and delivering large-scale enterprise applications on AWS. The ideal candidate will bring deep cloud-native architecture, AI/ML integration, and hands-on development skills, while also mentoring and leading engineering teams to deliver robust, scalable, and secure solutions.


Key Responsibilities

  • Lead the architecture, design, and development of scalable, secure, and high-performance AWS-based applications.

  • Define and enforce best practices in system design, coding standards, DevOps, and cloud operations.

  • Collaborate with stakeholders to gather requirements and translate them into cloud-native architectures.

  • Drive full software development life cycle (SDLC) including design patterns, source control, CI/CD pipelines, testing, and deployment.

  • Provide technical leadership to distributed engineering teams, mentoring developers and reviewing design/code.

  • Implement advanced solutions leveraging AWS SageMaker, Amazon Q, Bedrock, and other ML/AI services.

  • Ensure system reliability, scalability, and performance optimization across AWS services.

  • Oversee cost optimization, monitoring, and governance for AWS workloads.

  • Stay current with emerging AWS technologies and recommend adoption where beneficial.


Required Qualifications

  • 15+ years of IT experience with at least 7+ years in AWS cloud architecture/engineering.

  • Strong experience in system design, architecture patterns, scalability, and reliability engineering.

  • Hands-on expertise with AWS core services (EC2, S3, RDS, Lambda, API Gateway, DynamoDB, CloudFormation/Terraform, IAM).

  • Experience with ML & AI technologies (AWS SageMaker, Amazon Q, Bedrock, NLP/LLMs).

  • Strong programming skills in Python, Java, or Node.js.

  • Proven experience as a Technical Lead/Engineering Manager, with team mentoring and leadership.

  • Deep knowledge of DevOps practices CI/CD pipelines, Git, Jenkins/GitHub Actions, Infrastructure as Code.

  • Strong knowledge of cloud security, identity, and compliance best practices.

  • Excellent communication, problem-solving, and stakeholder management skills.


Preferred / Nice to Have

  • AWS Certified Solutions Architect (Professional) or AWS Certified Machine Learning Specialty.

  • Prior experience leading cloud migrations or building AI-driven applications.

  • Experience with containerization (Docker, Kubernetes, EKS).

  • Familiarity with data engineering pipelines (Glue, Redshift, EMR).

    1 15+ years of IT experience with at least 7+ years in AWS cloud architecture/engineering
    2 Hands-on expertise with AWS core services (EC2, S3, RDS, Lambda, API Gateway, DynamoDB, CloudFormation/Terraform, IAM)
    3 Strong background in system design, architecture patterns, scalability, and reliability engineering
    4 Experience with ML/AI technologies (AWS SageMaker, Amazon Q, Bedrock, NLP/LLMs)
    5 Solid programming in at least one language (Python / Java / Node.js)
    6 Proven experience as a Technical Lead / Mentor / Engineering Manager
    7 Deep knowledge of DevOps & CI/CD pipelines (Git, Jenkins/GitHub Actions, Infra as Code)
    8 Strong understanding of cloud security, identity management, and compliance best practices
    9 Experience leading full software development life cycle (SDLC) code reviews, testing, operations
    AWS Certifications (Architect Professional / ML Specialty) highly preferred

    If you don t hold real-time AWS architecture + leadership experience (15+ years), this role is not a fit. Please confirm and update me with your latest resume + responses.

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