Lead Java Architect

Title: : Lead Architect

Location: REMOTE

Duration: 08+ month

Position Summary:

Qualifications:

Position Overview:

We are looking for a Lead Architect who is a true hands-on engineer someone who designs solutions and writes production code daily. You will lead architecture and delivery across a cloud-native platform built on Java + Spring, .NET 8/10, Python (Django/Flask microservices), SQL, React, Node.js + Socket.IO, and Microsoft Azure (ADO/App Service/Container Apps/Functions/Service BKey Vault/Blob/Monitor/App Insights/APIM).

This role requires cross-stack ownership and the ability to guide teams while staying hands-on coding, reviewing PRs, mentoring offshore engineers, driving PoCs to production, and ensuring security + reliability.

- Lead by coding (daily): Deliver features and fixes in Java/Spring, Python services, and .NET with strong unit/integration test coverage.

- Build & evolve Python microservices: Work across Python 3.12/3.13, Django 5.x and Flask 3.x services, including API design, background processing patterns, and Azure integrations.

- Architect cloud-native services: Build scalable microservices and event-driven workflows on Azure (App Service/Container Apps, Functions).

- Implement async messaging patterns: Use Azure Service Bus (queues/topics/subscriptions), retries, DLQs, idempotency, and resiliency best practices.

- Build real-time capabilities: Develop and scale Node.js + Socket.IO/WebSockets services (secure connections, rooms/namespaces, multi-instance scaling patterns).

- Own secure integrations: Implement enterprise-grade security using Azure Key Vault, Managed Identity (MSI), certificates, and Azure AD/Entra ID auth patterns (OAuth2/OIDC/JWT).

- Drive data reliability: Build and optimize SQL Server schemas, queries, and deployment scripts (safe, idempotent, CI/CD friendly).

- Operational excellence: Instrument services with Application Insights/Azure Monitor + OpenTelemetry, build health checks, and support production incidents and root-cause fixes.

- Mentor and set standards: Run strong PR reviews, enforce engineering standards, and mentor offshore engineers through pairing, reviews, and technical guidance.

Qualifications Kindly please add any requirement or qualification for this role.

- 10+ years in software engineering with recent, demonstrable hands-on delivery

- Must be strong across Java/Spring + React + Python (not just oversight actual coding)

- Proven success leading teams without stepping away from coding

- A quality-first mindset: testing, security, observability, performance, and reliability

Must-Have Skills (Non-Negotiable)

Backend (Java):

- Java 21 + Spring Boot 3.x (REST APIs, Spring Security, Spring Data, production microservices)

- API design, middleware, performance mindset; service reliability

- Strong automated testing: JUnit 5 + Mockito (Java) and modern .NET testing patterns

Python

- 2+ years hands-on Python building production services (within overall 10+ years experience)

- Framework experience with Django (5.x) and/or Flask (3.x); ability to design and maintain REST APIs

- Testing culture: pytest (and related patterns like coverage and mocking

- Comfort debugging distributed systems and Azure SDK integrations in Python (identity, storage, telemetry)

Web / UI

- React (TypeScript/JavaScript, modern patterns, debugging and performance awareness)

Real-Time / Integration

- Node.js + Express and Socket.IO/EventsHub/WebSockets (real-time messaging, connection security, scalability)

Data

- SQL Server (T SQL, query optimization, transactions, deployment scripts, reliability and performance)

Azure (Hands-On)

- Strong hands-on Azure delivery with:

App Service/Container Apps, Azure Functions, Service Bus, Blob Storage, Key Vault, Managed Identity, Application Insights, Azure Monitor/OpenTelemetry, and APIM

Nice-to-Have (Adds Strong Value)

- .NET 8/10 (API design, middleware, performance mindset; service reliability)

- Redis / Azure Redis Cache (including scaling Socket.IO with Redis adapters)

- Cosmos DB (Mongo API) / MongoDB familiarity

- AI/document workflows exposure: Azure AI Search, Azure OpenAI, Form Recognizer/OCR, and related orchestration patterns (helpful for platform context)