Technical Architect

Incedo

Gurugram District

On-site

INR 2,400,000 - 3,600,000

Full time

3 days ago
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Job summary

Incedo is seeking an experienced Technical Architect to design and lead scalable, secure, high-performance enterprise and AI-powered solutions. The role requires strong expertise in Java, Python, AWS/Azure, Cloud Native Architecture, Generative AI, and Agentic AI.

You will define technology stacks, architect end-to-end systems, mentor teams, and collaborate with product and security stakeholders to deliver robust backend services, data architectures, and AI-enabled platforms.

Qualifications

  • 8+ years of software development, technical leadership, and solution architecture experience.
  • Strong expertise in Java and/or Python with modern backend development.
  • Cloud experience in AWS and/or Azure architectures and DevOps practices.
  • Experience designing cloud-native architectures, microservices, and API security.

Responsibilities

  • Design end-to-end software architectures, microservices, system integrations, and cloud-native solutions aligned with business objectives.
  • Define technology stacks, frameworks, architectural patterns, and best practices.
  • Establish architectural guardrails, coding standards, and conduct architecture reviews.
  • Guide teams on microservices, distributed systems, API security, and best practices.
  • Design synchronous and asynchronous integrations between applications, APIs, databases, cloud services, and third-party systems.
  • Define observability strategies covering logging, monitoring, dashboards, and alerting.

Skills

Java
Python
AWS
Azure
Generative AI
Agentic AI
Microservices
Distributed Systems

Education

Bachelor's degree in Computer Science
Master's degree preferred

Tools

Docker
Kubernetes
Terraform
Kafka
SQS
Azure Service Bus
REST/GraphQL/gRPC

Job description

Technical Architect Services
Role Overview
We are looking for an experienced
Technical Architect
to design and lead scalable, secure, high-performance enterprise and AI-powered solutions. The role requires strong expertise in
Java, Python,AWS/Azure, Cloud Native Architecture, Generative AI, and Agentic AI
Key Responsibilities
Architecture & Design
  • Design end-to-end software architectures, microservices, system integrations, and cloud-nativesolutions aligned with business objectives.
  • Define technology stacks, frameworks, architectural patterns, and best practices.
  • Establish architectural guardrails, coding standards, and conduct architecture reviews.
Backend & API Development
  • Strong expertise in
  • Java, Python, .NET/C#, and Node.js
  • .
  • Design scalable APIs and integrations using
  • REST, GraphQL, and gRPC
  • .
  • Guide teams on microservices, distributed systems, API security, and best practices.
Data Architecture
  • Experience with relational databases including
  • PostgreSQL, MySQL, and SQL Server
  • .
  • Knowledge of NoSQL and caching technologies such as
  • MongoDB, Redis, and DynamoDB
  • .
  • Define appropriate data, database, caching, and integration strategies.
System Design & Integration
  • Strong knowledge of
  • Microservices, Event-Driven Architecture, and Distributed Systems
  • .
  • Experience with messaging technologies such as
  • Kafka, RabbitMQ, SQS, EventBridge, and Azure
  • Service Bus
  • .
  • Design synchronous and asynchronous integrations between applications, APIs, databases, cloudservices, and third-party systems.
Cloud & DevOps
  • Expertise in public cloud platforms, primarily
  • AWS and Azure
  • .
  • Strong experience with
  • Docker, Kubernetes, and Terraform
  • .
  • Design secure, scalable cloud infrastructure including networking, monitoring, high availability, anddisaster recovery.
CI/CD & DevSecOps
  • Hands-on experience with CI/CD pipelines using
  • Azure DevOps Pipelines and GitHub Actions
  • .
  • Implement automated build, testing, deployment, release, and environment promotion processes.
  • Integrate security and quality checks into CI/CD pipelines.
Security
  • Strong understanding of
  • Application, API, Cloud, Container, and Infrastructure Security
  • .
  • Experience with security tools for
  • SAST, DAST, dependency scanning, vulnerability management,
  • and container scanning
  • .
  • Knowledge of tools such as
  • SonarQube, Snyk, Checkmarx, Veracode, OWASP ZAP
  • , or similar.
Quality Engineering & Testing
  • Define testing strategies covering
  • Unit Testing, Integration Testing, API Testing, and BDD
  • frameworks
  • .
  • Experience with tools and frameworks such as
  • JUnit, NUnit, xUnit, PyTest, Cucumber, SpecFlow,
  • Playwright
  • , or similar.
  • Promote automated testing and quality standards across development teams.
Performance Testing
  • Define performance, load, scalability, and reliability testing strategies for applications and APIs.
  • Experience with tools such as
  • JMeter, k6, Gatling, LoadRunner
  • , or similar.
  • Identify performance bottlenecks and guide teams on performance optimization.
Observability & Monitoring
  • Define observability strategies covering
  • logging, monitoring, distributed tracing, dashboards,
  • and alerting
  • .
  • Experience with tools such as
  • CloudWatch, Azure Monitor, Application Insights, Grafana, ELK
  • , orsimilar.
  • Ensure applications have appropriate operational monitoring and incident visibility.
Analytics & Reporting
  • Experience with analytics and reporting tools such as
  • Google Analytics 4 (GA4), Looker Studio
  • (Data Studio), and Power BI
  • .
  • Define dashboards, reporting, application analytics, and data visualization solutions.
Generative AI & Agentic AI
  • Experience designing solutions using
  • LLMs, Generative AI, RAG, and Agentic AI
  • .
  • Knowledge of platforms such as
  • AWS Bedrock and Azure OpenAI
  • .
  • Experience with frameworks such as
  • LangGraph, LangChain, CrewAI, AutoGen
  • , or similar.
AI Architecture & Governance
Design AI agent architectures involving
  • agent orchestration, tool integration, memory, context
  • management, and human-in-the-loop workflows
  • .
  • Implement AI security, guardrails, monitoring, governance, and evaluation frameworks.
Drive adoption of
  • AI-enabled engineering and AIDLC practices
  • .
Technical Leadership & Mentoring
  • Provide technical leadership, architecture guidance, and mentorship to developers and technicalleads.
  • Conduct architecture reviews, code reviews, technical workshops, and knowledge-sharing sessions.
  • Lead technical discussions, Proof of Concepts (POCs), and technology evaluations.
  • Collaborate with business, product, security, DevOps, and engineering stakeholders.
Required Skills & Qualifications
  • 8+ years
  • of experience in software development, technical leadership, and solution architecture.
  • Strong expertise in
  • Java, Python, and/or .NET/C#
  • and modern backend development.
  • Strong experience with
  • AWS and/or Azure
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