Posted:17 hours ago|
Platform:
On-site
Full Time
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, Node.js, 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)
? Node.js (Express, Nest.js)
? 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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