Role Summary
We are seeking an experienced Senior Backend Architect / Technical Lead with 10+ years of
experience in designing, developing, and delivering large-scale enterprise applications. The ideal
candidate should possess deep expertise in Java, Spring Boot, Microservices, AWS Cloud, Kafka, and
DevOps practices. The candidate should be capable of driving architecture decisions, leading
engineering teams, and ensuring scalability, reliability, security, and performance of business-critical
systems. Basic understanding of AI/Generative AI technologies and their enterprise applications is
highly desirable.
Key Responsibilities
Architecture & Solution Design
● Define and drive backend architecture for enterprise-scale applications.
● Design scalable, resilient, secure, and high-performance systems.
● Lead architecture reviews and establish engineering best practices.
● Evaluate and recommend technology solutions aligned with business objectives.
● Ensure compliance with security, governance, and operational standards.
Backend Development
● Design and develop applications using Java and Spring Boot.
● Build and maintain Microservices-based architectures.
● Design RESTful APIs and event-driven systems.
● Optimize application performance, scalability, and reliability.
● Ensure high code quality through reviews and engineering standards.
Cloud & AWS
● Design and implement cloud-native solutions on AWS.
● Work with AWS services such as:
○ EC2
○ ECS/EKS
○ Lambda
○ S3
○ RDS
○ DynamoDB
○ API Gateway
○ CloudWatch
○ IAM
○ SNS/SQS
○ Secrets Manager
● Drive cloud migration and modernization initiatives.
Event Streaming & Messaging
● Design and implement event-driven architectures using Apache Kafka.
● Build scalable messaging and data streaming solutions.
● Ensure reliability, fault tolerance, and monitoring of Kafka ecosystems.
DevOps & Automation
● Establish CI/CD pipelines and release automation processes.
● Implement Infrastructure as Code (IaC) practices.
● Drive containerization and orchestration strategies.
● Improve deployment efficiency, monitoring, and operational excellence.
● Support production stability and incident management processes.
Leadership & Stakeholder Management
● Lead and mentor engineering teams.
● Collaborate with Product Managers, Architects, Security, Infrastructure, and Business teams.
● Provide technical guidance and architectural direction.
● Participate in technical hiring and team development initiatives.
AI & Innovation (Good to Have)
● Basic understanding of:
○ Generative AI
○ Large Language Models (LLMs)
○ AI APIs and Integrations
○ AI-powered automation
○ Retrieval-Augmented Generation (RAG)
● Identify opportunities where AI can improve operational efficiency, customer experience, and
engineering productivity.
● Collaborate with AI teams on integrating AI capabilities into enterprise platforms.
Required Skills
Core Technologies
● Java (8/11/17+)
● Spring Boot
● Spring Cloud
● Microservices Architecture
● REST APIs
● Design Patterns
● Multithreading & Concurrency
Messaging & Integration
● Apache Kafka
● Event-Driven Architecture
● Message Queues
● API Integration
Cloud Technologies
● AWS Services
● Cloud-Native Application Development
● Security and IAM Concepts
● High Availability & Disaster Recovery
DevOps & Infrastructure
● Docker
● Kubernetes
● Jenkins / GitHub Actions / GitLab CI
● Terraform / CloudFormation
● Monitoring & Logging Tools
● CI/CD Pipeline Design
Databases
● PostgreSQL
● MySQL
● Oracle
● MongoDB
● Redis
Leadership Skills
● Solution Architecture
● Technical Mentoring
● Stakeholder Management
● Technical Decision Making
● Project Delivery Leadership
Preferred Qualifications
● Bachelor's or Master's degree in Computer Science, Engineering, or related field.
● Experience in Banking, FinTech, Payments, or Enterprise Digital Transformation projects.
● Exposure to large-scale distributed systems and high-volume transaction processing.
Good to Have
● Experience with AI/ML integrations and GenAI solutions.
● Exposure to Vector Databases and RAG architectures.
● Knowledge of AI platforms such as OpenAI, Anthropic, or Google.
● Experience building AI-enabled enterprise applications.
Ideal Candidate
A highly skilled technology leader with 10+ years of experience in Java backend development, strong
expertise in Spring Boot, AWS, Kafka, Microservices, and DevOps, proven experience in architecting
and delivering enterprise-scale solutions, and an interest in leveraging AI technologies to drive
innovation and efficiency. This individual should be capable of providing both technical leadership and
hands-on architectural guidance.