Middleware Architect

Uberlife Consulting; Thane, Mumbai; On-site; INR 1,800,000 - 2,500,000; Full time

Job summary

Uberlife Consulting in Thane is seeking an experienced Application Architect to design and evolve enterprise architecture for critical applications. You will work on backend services, APIs and ensure alignment with engineering standards.

The position requires 10 to 15+ years in software engineering, hands-on expertise in major technology stacks, and a strong understanding of cloud-native environments and event-driven architectures.

Qualifications

• 10 to 15+ years of experience in software engineering and application architecture.
• Strong hands-on experience in backend application design using major stacks.
• Experience in cloud-native and containerized environments.

Responsibilities

• Design and evolve enterprise application architecture.
• Align pod-level application development with architecture standards.
• Collaborate with DevOps teams on CI/CD and cloud deployment.

Skills

Backend application design

REST APIs

Microservices

Event-driven architecture

Cloud-native environments

Data platform interaction

Mentoring teams

Tools

Java/Spring Boot

.NET/.NET Core

Node.js

Python

AWS

Azure

Docker

Kubernetes

PostgreSQL

MongoDB

Job description

Job Description: Application Architect

Design and evolve enterprise application architecture for CRM, wealth management, dashboards, analytics, and digital platform use cases.

Define scalable and reusable architecture patterns for backend services, APIs, integrations, and platform components.

Improve system reliability, maintainability, performance, and production readiness across business-critical applications.

Align pod-level application development with central architecture standards, engineering governance, and integration principles.

Enable AI-first application design by ensuring that platforms can securely consume data services, analytics services, and AI capabilities.

Provide technical leadership across design reviews, solutioning, delivery planning, and engineering standards.

Design end-to-end solution architecture for new initiatives and modernization programs.

Define application architecture patterns for microservices, APIs, event-driven systems, integration layers, and modular monoliths where appropriate.

Review business and functional requirements and convert them into scalable technical architectures.

Role purpose

Role summary

Key objectives

Key responsibilities

Work with database and data platform teams to define clean data access patterns, service boundaries, and integration contracts.

Establish standards for performance, caching, resiliency, observability, logging, security, and deployment readiness.

Lead architecture and code reviews across engineering squads and pods.

Guide teams on non-functional requirements such as scalability, availability, disaster recovery, monitoring, and cost efficiency.

Support modernization of legacy systems into cloud-native or service-oriented architectures.

Collaborate with DevOps teams on CI/CD, cloud deployment, environment strategy, and release governance.

Work with AI and analytics teams to integrate recommendation engines, text-to-SQL services, document intelligence, and other AI capabilities into applications in a secure and controlled way.

Mentor senior engineers and technical leads, and help improve engineering maturity across teams.

10 to 15+ years of experience in software engineering and application architecture.

Strong hands-on experience in backend application design using one or more major stacks such as Java/Spring Boot, .NET/.NET Core, Node.js, or Python for enterprise platforms.

Strong experience in designing REST APIs, microservices, integration services, and service-to-service communication patterns.

Good understanding of event-driven architecture, asynchronous processing, caching, and distributed systems.

Experience with relational and non-relational databases such as PostgreSQL, SQL Server, MongoDB, Redis, ClickHouse, Elasticsearch, or similar technologies.

Experience in cloud-native and containerized environments such as AWS, Azure, Docker, Kubernetes, and managed cloud services.

Strong understanding of observability, logging, tracing, API monitoring, and production support practices.

Experience in authentication, authorization, RBAC, secure design, and compliance-sensitive application development.

Proven ability to lead solution design discussions and guide engineering teams through implementation.

Required skills and experience

Experience in BFSI, wealth management, broking, lending, insurance, or related regulated industries.

Experience in CRM, business workflow systems, dashboards, reporting platforms, or customer-facing transaction platforms.

Familiarity with Kafka, Redis, Elasticsearch/OpenSearch, and API gateways.

Familiarity with architecture for analytics-enabled and AI-enabled applications.

Exposure to data platform interaction patterns such as curated data services, semantic layers, reporting APIs, and governed data access.

Experience in leading cross-functional teams and working with distributed engineering organizations.

Improved application scalability, modularity, and ease of change across platforms.

Better engineering consistency through reusable architecture patterns and standards.

Faster delivery of new platform capabilities with fewer production issues.

Improved integration quality between application platforms, data platforms, and AI services.

Stronger observability, resiliency, and production readiness across pods.