AI Software Engineer III - Platform

Key Responsibilities

Platform & Infrastructure Engineering:

• Design, build, and maintain scalable platform services and developer tooling using Go and JavaScript/TypeScript.

• Own and evolve CI/CD pipelines (GitHub Actions, GitLab, or similar), from build and test to deployment and observability.

• Build reusable, composable platform components (APIs, SDKs, CLI tools) that accelerate engineering velocity.

• Architect cloud-native solutions on AWS (Lambda, ECS, S3, API Gateway, CloudWatch) following security and cost best practices.

Quality Engineering Platform:

• Build and maintain the Quality Engineering platform, including test automation frameworks, test data management, and reporting dashboards.

• Integrate automated testing (unit, integration, E2E, contract) into CI/CD pipelines to ensure quality gates are enforced on every commit.

• Develop tooling for test observability: flakiness detection, coverage tracking, test result aggregation, and failure triage.

• Collaborate with QA and development teams to define quality standards and enable shift-left testing practices.

AI-Augmented Development & Tooling:

• Integrate AI-powered developer tools (GitHub Copilot, Claude Cowork, Codex, LLM-based agents) into platform workflows to boost productivity.

• Build AI-assisted code review, test generation, and documentation pipelines using LLM APIs and prompt engineering.

• Implement AI-driven quality checks for anomaly detection, intelligent flaky test classification, and automated root cause analysis.

Reliability & Operational Excellence:

• Build observability into all platform services for metrics, structured logging, distributed tracing, and alerting.

• Identify bottlenecks and proactively remediate issues before they impact development teams.

Education and Experience

• Bachelor’s degree or higher in Computer Science, Software Engineering, Information Technology, or a closely related field.

• 3-5 years of experience in software development with strong focus on data structures and algorithms

• 3+ years of experience building production-grade web applications and microservices Technical Skills

Programming Skills:

• Mastery of at least one modern programming language (Java, JavaScript/TypeScript, Go)

• Deep understanding of algorithms, data structures, concurrency, memory management, debugging, and optimization

• Experience with JavaScript, HTML, CSS, and responsive design principles.

Backend Development:

• Expertise in building RESTful / GraphQL APIs, microservices architecture, and event- driven systems

• Experience with Web Services, API integration, and data exchanges with third parties Database Technologies:

• Strong knowledge of SQL (PostgreSQL, MySQL) and NoSQL databases (MongoDB, Redis, DynamoDB)

• Write efficient queries and understand database performance optimization techniques.

Cloud Infrastructure:

• Work with AWS (or other cloud providers) utilizing services such as EC2, S3, and Lambda.

• Understand cloud security best practices.

Problem Solving & Troubleshooting:

• Good problem-solving and debugging skills.

Collaboration & Communication:

• Collaborate effectively with other engineers, product managers, and designers. Clearly communicate technical information to both technical and non-technical audiences.

AI/ML Integration:

• Proficiency using AI-powered development tools (GitHub Copilot, Amazon Code Whisperer, Claude Code, ChatGPT) for code generation, refactoring, and documentation

• Understanding of prompt engineering and LLM integration patterns

• Knowledge of AI-assisted testing, code review, and quality assurance tools

Nice to Have

• Experience with e-commerce or high-traffic consumer platforms.

• Familiarity with design systems and frontend component libraries.

• Experience with Infrastructure as Code (Terraform).

• Contributions to open-source developer tooling or platform projects.

• Knowledge of OpenTelemetry standards for observability.

• Familiarity with AI-assisted testing tools and intelligent test generation.