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.
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