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Minimum 8 years of overall experience in software engineering, application development, integration, and SDLC delivery.
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Strong recent hands-on software development experience; candidate must be comfortable spending majority of time coding, debugging, designing, and delivering working software.
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Minimum 8 years of hands-on Java backend development experience, including Spring Boot, REST APIs, microservices, and open-source technologies.
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Minimum 3 years of hands-on experience with event-driven systems, messaging, streaming, integration, or notification platform capabilities.
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Hands-on experience with Apache Camel or equivalent enterprise integration frameworks.
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Minimum 4 years of hands-on experience with AWS or equivalent cloud services such as EC2, S3, RDS, VPC, CloudFront, Lambda, EKS, ECS, API Gateway, DynamoDB, DocumentDB, AmazonMQ, or related services.
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Strong hands-on AI/GenAI implementation experience in enterprise or production-grade applications; AI experience should not be limited to strategy, vendor discussions, or conceptual understanding.
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Practical experience involves personally implementing one or more AI capabilities such as LLM integration, prompt engineering, RAG, embeddings/vector search, semantic search, classification, summarization, AI-assisted workflow automation, or decision-support capabilities.
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Understanding responsible AI and secure AI engineering practices, including data privacy, access control, guardrails, evaluation, monitoring, hallucination risk, human review where needed, and auditability.
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Experience with observability and analytics tools such as Dynatrace, ELK Stack, CloudWatch, or equivalent tools.
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Experience working in agile delivery environments where CI/CD, automated testing, code quality, deployment readiness, and production support are critical.
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Demonstrated knowledge of software engineering best practices such as version control, software packaging, release management, automated testing, secure coding, and operational readiness.
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Strong analytical and problem-solving skills with ability to diagnose complex technical issues independently.
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Must be self-motivated, collaborative, and able to communicate effectively with technical and non-technical stakeholders.
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