Technical Architect

4 days ago

Indore, Madhya Pradesh, India Systango Full time ₹ 20,00,000 - ₹ 25,00,000 per year

About the Role 

We are seeking a hands-on Technical Architect with a strong foundation in system design, software engineering best practices, and scalable architecture. The ideal candidate should be proficient in at least two modern programming languages — Java, , or Python — and have proven experience leading end-to-end architecture of complex enterprise or SaaS products. 

Exposure to AI/ML systems or data-driven architectures will be a significant advantage.

Key Responsibilities 

● Architect & Design scalable, secure, and high-performing systems across cloud and on-prem environments. 

● Lead technical design reviews and ensure architectural integrity across projects and teams. 

● Collaborate with cross-functional teams — Product, DevOps, and QA — to translate business requirements into technical solutions. 

● Mentor and guide engineers, fostering best practices in design, code quality, and performance optimization. 

● Evaluate and recommend technology stacks, frameworks, and architectural patterns aligned with business goals. 

● Ensure non-functional excellence in security, reliability, observability, and maintainability. 

● Drive modernization initiatives, including microservices, containerization, and event-driven architecture. 

● Stay ahead of the curve by exploring emerging trends in AI/ML, automation, and scalable infrastructure. 

Technical Skills & Experience 

● Strong expertise in at least two of the following: 

○ Java (Spring Boot, Microservices)

○ (Express, ) 

○ Python (FastAPI, Django, Flask) 

● Proven experience in architecting distributed systems, RESTful and GraphQL APIs. 

● Hands-on understanding of cloud platforms (AWS, GCP, or Azure) and DevOps practices (CI/CD, Docker, Kubernetes). 

● Strong understanding of databases — both relational (PostgreSQL/MySQL) and NoSQL (MongoDB, Redis, Elasticsearch). 

● Exposure to AI/ML pipeline integration, vector databases, or data engineering workflows is a plus. 

● Excellent command of software design principles, DDD, and system decomposition. 

● Experience with event-driven architecture, message queues, and API gateway management. 

Preferred Qualifications 

● Bachelor's or Master's in Computer Science, Engineering, or related field.

● Prior experience as Tech Lead or Architect in a product or platform team. 

● Experience with scalable data systems, AI-assisted applications, or ML model deployment pipelines.

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