Description

Responsibilities

• Define and govern enterprise architecture standards, principles, and best practices.
• Design scalable, resilient, and secure cloud-native solutions using modern architectural patterns.
• Lead architecture reviews, technology evaluations, and technical decision-making.
• Architect microservices, event-driven systems, APIs, and enterprise integration solutions.
• Drive adoption of AWS cloud services, hybrid-cloud architectures, and platform modernization initiatives.
• Establish standards for observability, reliability, security, and performance engineering.
• Guide implementation of Kafka-based streaming and real-time data processing solutions.
• Mentor architects, technical leads, and engineering teams.
• Collaborate with business and technology stakeholders to align architecture with strategic objectives.
• Promote engineering excellence through DevOps, automation, and AI-enabled solution design.

Requirements

• Bachelor's degree in Computer Science, Engineering, or equivalent practical experience.
• 15+ years of overall IT experience, including 10+ years in enterprise application development.
• 3+ years of experience in Architect or Lead Architect roles.
• Deep expertise in Java 17/21/25, Spring Boot, Spring Framework, REST APIs, and gRPC.
• Strong experience designing microservices, distributed systems, and Domain-Driven Design (DDD) architectures.
• Proven expertise in Apache Kafka, event-driven architecture, and real-time streaming solutions.
• 5+ years of experience with AWS cloud services, including EKS, ECS, Lambda, API Gateway, RDS, DynamoDB, S3, and MSK.
• Strong knowledge of PostgreSQL, Oracle, NoSQL databases, Redis, and data architecture best practices.
• Experience with enterprise integrations, B2B APIs, Webhooks, and asynchronous communication patterns.
• Expertise in security frameworks including OAuth2, OpenID Connect, and API security.
• Experience implementing observability and reliability practices using ELK/OpenSearch, Prometheus, Grafana, and distributed tracing tools.
• Familiarity with AI integration, including RAG, Vector Databases, LLMs, and LangChain/LangChain4j.
• Experience with CI/CD, Terraform, Docker, and modern deployment strategies.
• Strong leadership, stakeholder management, and mentoring skills

Key Skills

Education

Bachelor's degree