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Enterprise Application Architect
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Job Title: Application Architect – Performance, Scalability & AI Focus
Location: Bangalore
Job Type: Full-time
Experience Level: 10+ years preferred
Job Summary:
We are seeking a seasoned Application Architect to lead the modernization, performance tuning, and security of our enterprise financial application. This role is critical in driving re-engineering of legacy systems, solving performance and latency issues, and delivering scalable, cloud-native solutions.
The ideal candidate will provide hands-on guidance across a multi-language tech stack (Java, Node.js, Angular, Ruby), and bring deep knowledge in cloud architecture (AWS), DevOps, AI/ML, and secure development practices.
Key Responsibilities:
- Lead the refactoring and modernization of legacy financial systems into high-performing, scalable, and maintainable architectures using modern technologies.
- Own system-wide performance analysis and optimization — from backend APIs to frontend load times.
- Provide expert architectural guidance across development teams working in Java, Angular, Node.js, and Ruby.
- Architect robust, low-latency solutions leveraging caching (Redis, Memcached) and messaging/queuing systems (Kafka, RabbitMQ, AWS SQS/SNS).
- Define scalable architectures on AWS cloud using services like EC2, Lambda, RDS, DynamoDB, API Gateway, and more.
- Collaborate with DevOps teams to ensure reliable, high-performing CI/CD pipelines and infrastructure.
- Build and enforce observability standards — implement APM, monitoring, distributed tracing, and alerting strategies.
- Ensure compliance with security, data privacy, and industry regulations (SOC 2, ISO 27001, etc.).
- Identify opportunities for AI/ML integration to enhance automation, analytics, and intelligent decision-making.
- Mentor developers, conduct code/architecture reviews, and define reusable design patterns.
Required Qualifications:
- 10+ years of experience in software engineering and architecture roles.
- Proven success in re-engineering/refactoring legacy systems into scalable, modern cloud-based applications.
- Strong knowledge of Java, Angular, Node.js, and Ruby architectures.
- Hands-on experience resolving performance and latency bottlenecks across large-scale systems.
- Deep understanding of caching, asynchronous processing, messaging patterns, and modern integration practices.
- Extensive experience with AWS services, infrastructure as code, and cloud-native patterns.
- Solid grounding in DevOps, CI/CD, containerization, and microservices.
- Strong understanding of AI/ML concepts and integration strategies.
- Familiarity with information security principles, secure coding, and threat modeling.
- Excellent communication and collaboration skills to lead cross-functional teams.
Preferred Qualifications:
- AWS Certified Architect or equivalent certifications.
- Experience in AI/ML productization using platforms like SageMaker, TensorFlow, or third-party APIs.
- Experience with Kubernetes, service mesh, GraphQL, and WebSockets.
- Experience modernizing monoliths to microservices or serverless.
- Prior work in financial services, banking, or fintech domains.
