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Tier-1 brand increases applicant interest, but senior, specialized backend/AI architect role limits generalist competition.
Medium - core distributed systems and Java skills transfer broadly, though financial domain and AI governance prefer domain experience.
Explicit 8+ years, mandatory Java/distributed systems expertise and leadership make shortlisting highly selective.
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Lead architecture and development of distributed, event-driven Java systems and scalable microservices/APIs aligned with enterprise strategy.
Own design and integration of high-throughput data systems using SQL/NoSQL, streaming, caching, and AI-assisted software development lifecycle practices.
Manage global teams and stakeholders to deliver strategic milestones including AI integration patterns and multi-step AI workflows.
Bachelor's or Master's degree in Computer Science, Engineering, or related field, or equivalent experience.
Minimum 8 years of progressive software engineering experience with leadership of teams or major platforms.
Strong expertise in Java, distributed systems architecture, APIs, microservices, SQL/NoSQL, streaming, and caching technologies (e.g., Redis).
Experience with cloud-native and DevOps practices including OCI containerization, container orchestration, and CI/CD pipelines.
Experienced in leading complex, enterprise-level, real-time distributed systems with a focus on scalability and reliability.
Demonstrated ability to translate complex business requirements into scalable technical solutions and lead cross-functional global teams.
Proven track record of adopting AI technologies in engineering workflows and establishing AI governance and integration standards across teams.