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Full Stack Engineer / Cloud Engineer | LOCAL : Houston, TX | Salary: $140-$150K

We are looking for local candidates in Houston, TX for a long-term project.

• Location: Houston, TX - local candidates preferred
• Employment: Full-time candidates only
• Relocation: We are not open to candidates who would need to relocate after selection, as this presents a potential long-term retention risk.
• Target Salary: $140K $150K

Given the long-term nature of the project, we are specifically seeking candidates who are already based in the Houston area and committed to a full-time opportunity.

Mandatory Skills

• Software Developer with experience in Python and a strong understanding of various AWS services and components.
• Design, build, deploy, and operate scalable, secure, highly available, and reliable AWS infrastructure.
• Develop and maintain cloud infrastructure and platform solutions using AWS best practices.
• Implement and manage automated CI/CD pipelines to deliver infrastructure and application changes efficiently and reliably.
• Automate deployment, configuration, and operational processes to improve scalability, consistency, and system reliability.

Job Description:

We are seeking an engineer-first cloud professional who combines strong software engineering expertise with deep AWS infrastructure experience. This role is responsible for designing, building, testing, deploying, and operating production-grade AWS platforms using software engineering best practices. The ideal candidate is equally comfortable working within large production codebases and automating cloud infrastructure through Infrastructure-as-Code and CI/CD-driven delivery models.

This is a hands-on engineering role. While architectural thinking is important, the primary expectation is that the individual can personally build, automate, test, deploy, and operate the solutions they design.

Key Responsibilities

• Design, build, deploy, and operate scalable, secure, and reliable AWS infrastructure.
• Develop and maintain Infrastructure-as-Code using Terraform, AWS CloudFormation, or similar technologies.
• Contribute to and work effectively within large, complex production software codebases.
• Deliver infrastructure and platform changes through automated CI/CD pipelines.
• Build repeatable, testable, and fully automated cloud infrastructure solutions.
• Participate in the complete software development lifecycle, including design, coding, testing, code reviews, deployment, monitoring, and production support.
• Troubleshoot complex platform, infrastructure, and application issues across development and production environments.
• Collaborate with engineering teams to improve platform reliability, scalability, security, and operational efficiency.
• Drive engineering excellence through automation, testing, observability, and operational best practices.
• Engage in technical discussions, design reviews, and architecture decisions while embracing constructive challenge and feedback.

Required Qualifications

• Strong software development experience with a proven ability to work on large-scale production systems and complex codebases.
• Hands-on experience designing and managing AWS cloud infrastructure.
• Expertise in Infrastructure-as-Code tools such as Terraform, CloudFormation, or equivalent platforms.
• Strong understanding of the end-to-end Software Development Lifecycle (SDLC), including:
  • Software design and development
  • Unit and integration testing
  • Code reviews
  • CI/CD implementation
  • Deployment automation
  • Monitoring and observability
  • Production operations and support
• Experience building highly automated, repeatable, and testable infrastructure platforms.
• Demonstrated experience delivering infrastructure changes through automated deployment pipelines rather than manual processes.
• Strong analytical and problem-solving capabilities.
• Ability to work independently in a fast-paced, engineering-focused environment.
• Strong collaboration and communication skills with a low-ego, high-accountability engineering mindset.

Preferred Qualifications

• Experience with AWS data, analytics, or machine learning services such as SageMaker and related AWS platform services.
• Exposure to platform engineering, DevOps, Site Reliability Engineering (SRE), or cloud-native operational models.
• Familiarity with observability, monitoring, and operational automation framewor

Ideal Candidate Profile

• Computer Science or Software Engineering graduate.
• Approximately 3 to 5 years of experience as a software engineer before transitioning into cloud infrastructure, platform engineering, DevOps, or SRE.
• Strong engineering fundamentals with a builder mindset and passion for automation.
• Capable of owning solutions throughout their lifecycle, from design and implementation to deployment and production operations.
• Values practical execution over purely architectural responsibilities and enjoys working directly with technology to solve complex engineering problems.

Note: This role prioritizes engineering depth, automation expertise, and delivery capability over specialization in any particular AWS service. Strong software engineering and infrastructure fundamentals are the primary criteria for success.