Full Stack Tech Lead (AI-enabled application)

Oremda Infotech Inc

Spring (TX)

On-site

USD 140,000 - 190,000

Full time

20 hours ago
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Job summary

Oremda Infotech Inc in Texas is seeking a hands-on Technical Lead to guide AI-driven software initiatives. You will own architecture, ensure secure, scalable full-stack delivery, and mentor cross-functional teams across product, DevOps, architecture, and business units.

The role requires 7–10+ years in software development with Azure or AWS, strong CI/CD, Terraform, and experience shaping enterprise-scale solutions.

Qualifications

  • Bachelor's degree in CS, IT, or related field, or equivalent experience.
  • 7–10+ years in software development with senior/lead experience.
  • Hands-on with Azure and/or AWS cloud platforms.
  • Experience with CI/CD pipelines, Git workflows, and DevOps practices.
  • Knowledge of OOAD, SOLID, secure coding, and automated testing.

Responsibilities

  • Provide technical leadership across AI-driven development workstreams.
  • Establish and enforce software engineering best practices, coding standards, testing approaches, and security requirements.
  • Conduct code reviews, design reviews, and technical assessments for high-quality deliverables.
  • Collaborate with Product, Program, DevOps, Risk, and Architecture teams to deliver scalable and secure solutions.
  • Contribute to architecture decisions and critical project deliverables.
  • Support CI/CD processes, deployment activities, and troubleshooting efforts.
  • Lead root cause analysis and resolution of production and pre-production issues.
  • Ensure governance, documentation, version control, and release management standards.
  • Mentor and support development teams, fostering technical excellence and continuous improvement.

Skills

Azure
AWS
CI/CD
GitHub Actions
Terraform
DevOps
OOAD
SOLID
Secure coding
Leadership

Education

Bachelor's degree in Computer Science or related field

Tools

Terraform

Job description

Job Title: - Full Stack Tech Lead (AI-enabled application)

Job Type: - Long Term Contract

Employment: W2

Visa: - USC, GC, GC-EAD and H4-EAD

Responsibilities
  • We are seeking a Technical Lead to provide technical leadership across multiple AI-driven software development initiatives. This role will oversee solution design, development quality, cloud architecture, and delivery execution while collaborating closely with product, DevOps, architecture, and business teams. The ideal candidate is a hands-on leader with strong full-stack development experience, cloud expertise, and a passion for building scalable, secure, and high-performing applications.
  • Provide technical leadership and oversight across multiple AI development workstreams.
  • Establish and enforce software engineering best practices, coding standards, testing approaches, and security requirements.
  • Conduct code reviews, design reviews, and technical assessments to ensure high-quality deliverables.
  • Collaborate with Product, Program, DevOps, Risk, and Architecture teams to deliver scalable and secure solutions.
  • Contribute to complex development tasks, architecture decisions, and critical project deliverables.
  • Support CI/CD processes, deployment activities, and troubleshooting efforts when needed.
  • Lead root cause analysis and resolution of production and pre-production issues.
  • Ensure adherence to enterprise governance, documentation, version control, and release management standards.
  • Mentor and support development teams, fostering technical excellence and continuous improvement.
Qualifications
  • QualificationsBachelor's degree in Computer Science, Information Technology, Engineering, or a related field, or equivalent experience.
  • 7-10+ years of software development experience, including experience in a senior or lead role.
  • Hands‑on experience with Azure and/or AWS cloud platforms.
  • Experience with CI/CD pipelines, Git workflows, GitHub Actions, Terraform, and DevOps practices.
  • Strong understanding of software architecture, OOAD, SOLID principles, secure coding practices, and automated testing.
  • Excellent problem-solving, communication, and stakeholder management skills.
  • Experience supporting AI-enabled applications or enterprise-scale software solutions is preferred.
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