Technical Architect - (Java,AWS)

Job description

Architect, design and implement scalable, high‑performance distributed backend systems using Java, Spring Boot, microservices architecture and AWS services. Own architecture and design for critical platform engineering initiatives. Build clean, maintainable, well‑tested, production‑quality Java services. Design and implement solutions leveraging system design patterns that ensure high availability, fault tolerance, and resilience.

Design and implement cloud infrastructure leveraging AWS best practices (IaC, auto‑scaling, resilient architectures). Optimize systems for cost, performance, reliability, and security in cloud environments. Troubleshoot and resolve complex production issues, ensuring high system reliability. Influence technical vision, architecture direction, and long‑term engineering strategy on platform engineering team. Lead technical designs, architecture reviews and code reviews to maintain engineering excellence.

Mentor and guide engineers on system design, testing strategies, distributed systems concepts and cloud‑native development. Drive cross-team collaboration to align on dependencies, architectural decisions, and shared platform components. Champion engineering best practices and foster a culture of continuous improvement. Continuously improve system observability, reliability, and performance across distributed environments.

You will report to the Senior Manager or Director of Engineering

Qualifications

You are required to have 12+ years of professional experience in backend services, distributed systems or platform engineering. Proven track record architecting, building, and operating large-scale distributed systems in production. Strong expertise in Java, Spring Boot, microservices architecture, and distributed systems fundamentals. Extensive experience in system design, performance engineering, scalability, and reliability.

Deep understanding of AWS cloud services, architecture patterns, and cloud-native design principles. Experience designing and supporting multi-tenant distributed platforms. Deep understanding of cloud security principles and best practices. Strong foundation in data structures, algorithms, concurrency, and networking. Solid grasp of CI/CD pipelines, deployment automation, and release engineering. Experience with container orchestration and runtime platforms (Kubernetes, EKS/ECS), and serverless patterns (Lambda).

Hands-on experience with distributed data technologies such as Spark, Hive, and Kafka. Good understanding of batch processing, data pipelines, and analytics platforms. Knowledge of job orchestration systems such as AWS Step Functions, Airflow, or event-driven workflow engines.