AI Software Engineer III – Platform

Fanatics, Inc.

AI Software Engineer III designing and building developer tooling and quality engineering systems with a focus on quality engineering and AI integration. Driving improvement in developer experience and reliability across platforms.

Posted 5/28/2026full-timeHyderabad • 🇮🇳 IndiaMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

AWSCloudDynamoDBEC2GoGraphQLJavaJavaScriptMicroservicesMongoDBMySQLNoSQLPostgresRedisSQLTypeScript

About the role

Key responsibilities & impact

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.
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.
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.
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.

Requirements

What you’ll need

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
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.
Expertise in building RESTful / GraphQL APIs, microservices architecture, and event-driven systems
Strong knowledge of SQL (PostgreSQL, MySQL) and NoSQL databases (MongoDB, Redis, DynamoDB)
Write efficient queries and understand database performance optimization techniques.
Work with AWS (or other cloud providers) utilizing services such as EC2, S3, and Lambda.
Understand cloud security best practices.
Good problem-solving and debugging skills.
Collaborate effectively with other engineers, product managers, and designers. Clearly communicate technical information to both technical and non-technical audiences.
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

Benefits

Comp & perks

Health insurance
401(k) matching
Flexible work hours
Paid time off
Remote work options

ATS Keywords

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Hard Skills & Tools

GoJavaScriptTypeScriptCI/CDAWSRESTful APIsGraphQLSQLNoSQLtest automation

Soft Skills

problem-solvingdebuggingcollaborationcommunication