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Tier-1 brand, Bangalore location, mid-level generalist manager with broad AWS/Java skills increases competition.
Core skills (Java, AWS, microservices) transfer well, but banking compliance and responsible-AI governance add domain bias.
Explicit 5+ years plus mandatory Java/AWS/Kubernetes/Kafka and managerial responsibilities create strict shortlisting filters.
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Lead and mentor multiple software engineering teams delivering advanced technology solutions with focus on Java and AWS stack.
Own design, development, deployment, and operational stability of scalable, secure systems including setting and guiding team coding standards and practices.
Drive adoption of enterprise-authorized AI-assisted engineering tools and automation to improve delivery speed and operational outcomes while ensuring secure and compliant usage.
5+ years of applied experience with software engineering concepts and practices including system design, application development, testing, and operational stability.
Proficiency in Java, Spring Framework or database query languages and AWS services including Containers (Kubernetes/EKS), ECS, Lambda, Step functions, Apache Kafka, AWS RDS Aurora Postgres, DynamoDB, SQS.
Experience building microservices architectures and RESTful APIs, with familiarity in monitoring and logging tools such as DataDog, Dynatrace, or Splunk.
Work Experience Required: 5+ years; Formal training or certification in software engineering concepts.
Experienced technical leader capable of managing cross-functional teams and aligning engineering solutions with business objectives in financial services context.
Strong expertise in cloud-native architectures, particularly AWS services, microservices, and scalable distributed systems design.
Proven ability to lead responsible adoption of AI-assisted development tools and enforce security, governance, and compliance standards within engineering teams.