Own features from concept through production release, writing and shipping high-quality code daily
Build, test, deploy, and iterate rapidly across frontend, backend, APIs, and data layers
Troubleshoot and resolve production issues, performance bottlenecks, and complex bugs
Implement and maintain CI/CD pipelines, automated testing, and deployment automation
Contribute to architectural decisions and design discussions as a practitioner, ensuring designs translate into solid implementations
Build and ship modern frontend applications using frameworks such as React, Angular, or Vue.js with TypeScript
Develop, deploy, and operate robust backend services using Java (Spring Boot), Node.js, Python, or .NET
Implement and optimize RESTful APIs, GraphQL endpoints, and event-driven integrations
Configure and manage cloud-native infrastructure (AWS or GCP)
Build and tune data layers across relational and NoSQL databases, caching, and message queues
Write clean, well-tested, production-ready code with a focus on maintainability and operational excellence
Leverage AI coding assistants to dramatically accelerate development workflows
Use AI tools for code generation, refactoring, test writing, documentation, and code review
Design and implement RAG pipelines, prompt engineering strategies, and AI-powered features
Influence engineering culture by evangelizing AI-augmented development practices
Train and upskill team members on effective use of AI tools in their daily workflows
Partner with product, design, and data science teams to identify AI-driven opportunities

Requirements

10+ years of professional software engineering experience
5+ years in hands-on full stack delivery roles
Bachelor's degree in Computer Science, Software Engineering, or related field (or equivalent experience)
Expert-level proficiency building production applications with modern JavaScript/TypeScript frameworks (React, Angular, or Vue.js), HTML5, CSS3, responsive design, and accessibility standards
Deep hands-on experience building and operating services with Java/Spring Boot, Node.js/Express, Python/FastAPI/Django, or C#/.NET
Strong hands-on experience deploying and operating on cloud platforms (AWS, GCP, or Azure)
Proficiency building and optimizing data layers with SQL and NoSQL databases (PostgreSQL, MongoDB, DynamoDB, Redis)
Proven track record building RESTful APIs, GraphQL services, gRPC endpoints, or event-driven integrations (Kafka, RabbitMQ)
Advanced daily usage of AI coding assistants (GitHub Copilot, Cursor, or equivalent)
Experience integrating LLM APIs (OpenAI, Anthropic, GCP Vertex Service) into production applications
Strong testing practices including unit, integration, and end-to-end testing with modern frameworks
Working knowledge of distributed systems, microservices, and event-driven patterns; ability to contribute to and implement architectural designs

Benefits

Other rewards may include short-term or annual bonuses
Long-term incentives
On-the-spot recognition

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

JavaScriptTypeScriptReactAngularVue.jsJavaSpring BootNode.jsPython.NET

Soft Skills

troubleshootingproblem-solvingcollaborationcommunicationmentoring

Certifications

Bachelor's degree in Computer ScienceBachelor's degree in Software Engineering