Technical Architect (Backend & AI)

This role is for one of Weekday’s clients
Salary range: Rs 4500000 - Rs 6000000 (ie INR 45 - 60 LPA)

Min Experience: 10+ years
Location: Mumbai, Maharashtra, India
JobType: full-time

This is a senior, high-impact role designed for a pragmatic, battle-tested Technical Architect with strong hands-on development experience. You will work amongst the sharpest minds in the financial fraternity to build a next-generation platform vision.

This role requires a hands-on Technical Architect who stays “in the trenches.” The individual will combine the absolute best traits of a technical visionary and an execution-focused leader, bringing the capability to structure robust backend engines while aggressively deep-diving into complex production environments to debug and resolve issues at the highest speed.

Key Responsibilities

Drive, own, and execute multiple next-generation platform initiatives.

Ensure backend architectures are structurally designed for massive scale, extreme availability, and high performance using Java microservices and strict AI and API-first design principles.

Act as the technical design authority ensuring seamless data flow, state management, and consistency across Java backend services, React Web platforms, and Mobile/POS applications (Android & C++ kernels).

Personally lead the hands-on prototyping, design, and integration of AI/ML utilities into core production pipelines (e.g., smart reconciliation engines, fraud pattern recognition, and transaction optimization).

Act as the go-to responder for high-priority production incidents.

Personally drive down MTTR by debugging critical technical issues within a complex stack involving Spring Boot microservices, Docker containers, and AWS environments.

Reinforce XP practices such as Test-Driven Development (TDD), refactoring, and clean code.

Devise processes and mechanisms to ensure expected uptime and platform resilience.

Partner closely with Product Management and clients to scope out releases, translate business goals into technical execution charts, and deliver high-quality outputs on predictable schedules without trading off quality for velocity.

Technical Skills and Experience

Deep hands-on mastery of Java and the Spring Boot ecosystem.

Strong preference for polyglot profiles who can adapt to multi-language requirements.

Strong architecture and implementation experience with AWS services, Docker containerization, and Kubernetes for container orchestration (NLB/ALB, Ingress Controllers).

Expertise in distributed system design using SQL & NoSQL databases (with advanced performance tuning), and messaging fabrics like RabbitMQ & NATS.

Practical proficiency in integrating AI utilities, LLMs, or foundational frameworks into high-throughput backend infrastructure.

Live and breathe automation (CI/CD pipelines).

Practical experience deploying observability frameworks such as Prometheus and Grafana for logging, monitoring, and distributed tracing.

Strong baseline understanding of JavaScript frameworks (React) and Mobile development (Android/iOS) to govern full-stack technical interfaces.

Knowledge of C++ to read or trace low-level POS code is a distinct advantage.

Must-have skills

spring, AI

Good-to-have skills

Java, architecture, AWS