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Strong employer brand but senior, niche streaming and Agentic AI requirements limit general applicant pool.
Highly domain-specific streaming, Kafka/Flink, and Agentic AI expertise required, limiting cross-industry transferability.
Multiple mandatory senior-level technical requirements including Kafka/Flink, Java, AWS, and Agentic AI expertise.
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Own architecture and technical design of complex streaming data solutions using Kafka, Flink, and related technologies from ideation through deployment and evolution.
Lead engineering best practices across the team including code quality, testing standards, and observability; mentor engineers and provide technical direction in design reviews.
Drive system reliability, scalability, security compliance, and lead adoption of AI-assisted development and agentic workflows at a platform level.
8+ years of software development experience with proven technical ownership beyond feature delivery.
Expertise in Java, Spring Boot, microservices architecture, Kafka, Apache Flink, and AWS services (Kinesis, EKS, S3, Lambda, IAM, CloudWatch).
Hands-on experience with Agentic AI tools (e.g., Claude, GitHub Copilot), building MCP servers, AI prompt engineering, and AI automation pipelines.
Bachelor’s or Master’s degree in Computer Science, Business Information Systems, or related field, or equivalent experience.
Senior-level engineer with deep knowledge of distributed streaming data platforms and microservices architecture.
Experienced in leading technical design, mentoring, and driving engineering standards at a team or platform level within complex, scalable cloud environments.
Proven capability in operationalizing AI-assisted development workflows and influencing cross-team technical strategies in fast-paced settings.