Technical Architect (Backend & AI)

Posted 3 Days Ago
Be an Early Applicant
Mumbai, Maharashtra, IND
In-Office
5M-6M Annually
Expert/Leader
Artificial Intelligence • HR Tech • Professional Services • Software
The Role
Lead architecture and hands-on development of highly scalable Java and Spring Boot backend platforms. Design cloud-native systems using AWS, Docker, Kubernetes, distributed databases, and messaging systems. Integrate AI/ML capabilities into production pipelines, coordinate interfaces across web and mobile applications, and respond to critical incidents. Establish observability, automation, testing, resilience, and clean-code practices while collaborating with product teams and clients on technical delivery.
Summary Generated by Built In

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.


Requirements

Key Responsibilities

Platform Architecture & Design

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.

Full-Stack Ecosystem Synchronization

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).

AI Development & Engineering

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).

Production SWAT & Observability

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.

Best Practices & Quality

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

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

Stakeholder Collaboration

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

Core Language & Frameworks

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

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

Cloud & Orchestration

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

Data & Messaging Systems

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

AI / ML Pipeline

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

Observability & Infrastructure

Live and breathe automation (CI/CD pipelines).

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

Client Aware Capabilities

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

Skills Required

  • 10+ years of professional experience
  • Deep hands-on mastery of Java and the Spring Boot ecosystem
  • Experience designing scalable, highly available, high-performance backend architectures
  • Strong experience with AWS services
  • Experience with Docker containerization
  • Experience with Kubernetes and container orchestration
  • Expertise in distributed systems using SQL and NoSQL databases, including performance tuning
  • Experience with RabbitMQ and NATS messaging systems
  • Practical proficiency integrating AI utilities, LLMs, or foundational AI frameworks into backend infrastructure
  • Experience with CI/CD automation
  • Experience deploying Prometheus and Grafana for observability, monitoring, and tracing
  • Understanding of JavaScript frameworks, particularly React
  • Baseline understanding of mobile development, including Android and iOS
  • Knowledge of C++ for reading or tracing low-level POS code
  • Experience with test-driven development, refactoring, and clean code
  • Strong stakeholder collaboration and technical delivery skills
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The Company
Year Founded: 2021

What We Do

Weekday is an AI-powered recruitment platform that helps startups hire top-tier engineering and product talent. By leveraging a massive database of white-collar professionals and advanced outreach tools, the company streamlines the hiring process through automated sourcing, AI-driven resume screening, and white-glove contingency services. Their mission is to modernize recruitment by enabling companies to discover and engage passive candidates efficiently, ensuring high-quality hires for critical roles.

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