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Technical Architect

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Onsite

Technical Architect

Incedo

Technical Architect

Skills

SQL QueriesLookerMongoDBDockerNodePythonData VisualizationJavaDevOpsC#.NETMicroservicesPostgreSQLMySQLKafkaRedisRabbitMQGraphQLGrafanaZAPPlaywrightData AnalysisAIAWSGitHubKubernetesGoogle AnalyticsPower BITerraformAzure

1 month ago

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Important information


Contract type:

Permanent

Location:

Gurugram, Haryana, India

Work mode:

Onsite

Published on:

7 September 2026

What they need


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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