• Enterprise-Level Coding Expertise: Hands-on experience in building maintainable and testable software solutions using modern programming languages such as Java, Python, or C#, supported by relevant frameworks.
• Advanced Data Engineering Skills: Deep understanding of data architecture, SQL querying, ETL processes, data pipelines, performance tuning, and associated frameworks.
• Microservices & API Design: Proficiency in designing and integrating microservices with RESTful APIs and working knowledge of distributed messaging systems such as Kafka.
• Software Development Lifecycle (SDLC): Comprehensive knowledge of modern engineering practices focused on functionality, reliability, security, and advanced debugging techniques.
• DevSecOps & Observability: Strong background in integrating monitoring and observability tools like OpenTelemetry, Prometheus, and Grafana into development workflows.
• CI/CD Automation: Proven track record in designing and managing GitHub Actions workflows and YAML-based CI/CD pipelines.
• Generative AI Integration: Practical experience with AI development tools and frameworks such as GitHub Copilot, OpenAI APIs, LangChain, and other intelligent automation technologies.
• Cloud-Native Engineering (AWS): Solid exposure to cloud services on AWS, including serverless architecture, infrastructure-as-code, and container orchestration platforms.
• Product Customization (Preferred): Experience in configuring, extending, and testing third-party vendor products.
• AI Tooling Enthusiast (Preferred): Passion for exploring new AI development assistants with regular use of emerging tools such as Cursor, Continue, Copilot, Aider, Cline, etc.
• Stakeholder Collaboration: Demonstrated ability to work cross-functionally with business and technical stakeholders to solve mission-critical challenges.

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