Technical Architect (14-18 yrs)

Location: Noida

Experience: 14 - 18 years

Job Summary:

We are looking for a highly skilled Technical Architect with strong expertise in Java-based distributed systems and modern data-driven architectures. This role involves designing and delivering scalable, high-performance systems capable of processing massive datasets while ensuring reliability, efficiency, and cost optimization.

The ideal candidate will have deep experience in microservices architecture, event-driven systems, and cloud platforms, along with exposure to modern data engineering and Generative AI technologies. You will play a key role in driving architectural decisions, mentoring teams, and ensuring engineering excellence across projects.

Responsibilities:

Enterprise & Solution Architecture:

- Design and deliver large-scale, high-volume distributed systems

- Architect systems capable of processing massive datasets (100+ Cr records or equivalent scale)

- Define scalable, high-performance, and cost-effective architecture solutions

- Design microservices-based, event-driven, and asynchronous systems

- Ensure best practices in API design (REST/GraphQL), system integration, and distributed computing

- Drive performance optimization and system scalability

Data & Integration Architecture:

- Design and implement real-time and batch data processing pipelines (ETL/ELT)

- Architect data-intensive applications using Python, PySpark, and Amazon Redshift

- Optimize database performance including MongoDB schema design, indexing, and sharding

- Implement high-throughput messaging and streaming solutions (Kafka, RabbitMQ)

Cloud & DevOps Enablement:

- Architect cloud-native solutions on AWS and Azure platforms

- Define and implement cost-optimized cloud architecture strategies

- Collaborate with DevOps teams on CI/CD pipelines, containerization (Docker), and Kubernetes orchestration

- Drive adoption of infrastructure as code and deployment automation

Generative AI & Innovation:

- Implement Gen AI-based solutions for automation and engineering productivity

- Leverage LLMs (OpenAI, Claude, etc.) for code generation, testing, and troubleshooting

- Design AI integration patterns including RAG architectures

- Apply prompt engineering techniques for enterprise use cases

Leadership & Delivery Excellence:

- Lead large engineering teams and provide architectural direction

- Mentor senior engineers and technical leads

- Ensure engineering best practices and quality standards across teams

- Drive innovation, continuous improvement, and adoption of modern technologies

What You Need:

Experience & Background:

- 12+ years of software engineering experience with at least 4+ years in architect/senior leadership roles

- Proven track record of building and delivering large-scale distributed systems

- Experience handling high-volume data systems and performance-critical applications

Technical Skills:

Core Technologies:

- Expert-level proficiency in Java (Spring Boot, microservices, async processing)

- Strong experience with Angular for enterprise frontend architecture

- Deep expertise in MongoDB (schema design, performance tuning, sharding)

- Hands-on experience with Python, PySpark, and Amazon Redshift

Architecture & Integration:

- Strong experience in event-driven architectures (Kafka, RabbitMQ)

- Expertise in real-time and batch processing systems

- Deep understanding of microservices, distributed systems, and API design

- Experience with high-volume data processing and performance tuning

Cloud & DevOps:

- Strong understanding of AWS services (EC2, S3, Lambda, ECS/EKS, RDS, MSK, etc.)

- Good understanding of Azure cloud platform

- Experience with CI/CD pipelines, Docker, Kubernetes, and infrastructure as code

Generative AI:

- Hands-on experience with Gen AI agent-based development

- Exposure to LLMs (OpenAI, Claude, etc.) for development acceleration

- Experience implementing AI-driven solutions in SDLC

- Understanding of prompt engineering and RAG architectures

Mindset & Soft Skills:

- Ownership mindset with end-to-end accountability

- Strong problem-solving ability in complex and ambiguous environments

- Progressive mindset with focus on innovation and continuous improvement

- Excellent communication skills for technical and non-technical stakeholders

- Collaborative leadership style with strong mentoring capabilities