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Salary
≈ $25k – $65k per year (Estimated)
Location
In office (Noida)
Seniority
Staff · 14+ years exp

First seen by Alion on Sep 2, 2026.

Overview
Company
Impact
Profile match
TO THE NEW provides digital technology services including cloud, data and media engineering. Its teams build streaming platforms, analytics systems and enterprise applications. The company serves clients across many international markets.

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

Skills

Java Architect, IT Product Development, Technical Architect

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