Role Summary:
We are seeking a highly skilled Senior Software Developer (G6) with strong expertise in backend and full-stack development, cloud-native engineering, AI/ML and microservices architecture. The candidate will play a key role in designing, developing, and optimizing scalable solutions, mentoring developers, and driving engineering excellence across the team while ensuring high standards of quality, security, and performance.
Key Responsibilities:
- Design, develop, and deliver scalable, secure, and high-performance applications using modern programming languages and frameworks (Java, Spring Boot, React, etc.).
- Handle development of microservices, REST APIs, and cloud-native solutions aligned with enterprise architecture patterns.
- Develop, test (unit and integration), and maintain scalable cloud-based applications using AWS services.
- Automate deployment, monitoring, and management of cloud applications.
- Write clean, efficient, and maintainable code across front-end and back-end.
- Collaborate with cross-functional teams to ship features, troubleshoot, and resolve issues.
- Implement best practices for cloud architecture, security, and performance.
- Build and integrate AI/ML-powered features and agents using AWS AI services.
- Apply AI-assisted development tools to accelerate delivery and improve code quality.
- Stay current with AWS technologies and industry trends; foster continuous improvement.
- Participate in Agile/Scrum ceremonies.
- Own end-to-end delivery including design, coding, testing, deployment, and production support.
- Provide technical leadership by reviewing code, mentoring developers, and driving best practices in coding, performance, and security.
- Design and implement AI-enabled application capabilities leveraging enterprise-approved AI platforms, LLMs, and intelligent automation frameworks.
- Lead the development of AI-powered features such as conversational interfaces, intelligent search, recommendation systems, workflow automation, and knowledge-driven applications.
- Collaborate closely with product managers, business teams, architects, data engineers, and AI practitioners to define and deliver business-focused AI solutions.
- Collaborate closely with product managers, business teams, and cross-functional engineering teams to deliver high-quality solutions.
- Ensure adherence to coding standards, responsible AI principals, security frameworks, and compliance requirements (Sonar, Veracode, etc.).
- Familiarity with AWS AI/ML services such as Amazon SageMaker, Bedrock, and AgentCore.
- Demonstrated experience using AI-assisted development tools (e.g., GitHub Copilot, Claude, Kiro) to accomplish tasks such as generating and reviewing code, writing and maintaining tests, creating documentation, and debugging, with the judgment to validate and own AI-generated output.
- Understanding prompt engineering, AI workflows, or model integration patterns.
- Experience working with generative AI or LLM-based solutions is highly desirable.
- Knowledge of AI Agent architectures, intelligent workflow automation, and modern AI application patterns.
- Understanding of ontology, semantic models, metadata-driven architectures, knowledge graphs, and enterprise knowledge management concepts.
- Understanding AI evaluation techniques, prompt engineering, model selection, and AI application observability
- Knowledge of Responsible AI principles include fairness, transparency, explainability, privacy, accountability, and compliance.
- Monitor, troubleshoot, and optimize applications using observability tools (CloudWatch, Dynatrace, Sumo Logic)
- Participate in production support, incident management, RCA, and on-call rotations with ownership mindset.
- Contribute to architecture discussions and influence technical decisions with scalable and reusable solutions
