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Incedo is seeking an experienced Technical Architect to design and lead scalable, secure enterprise and AI-powered solutions in India. The role requires strong expertise in Java, Python, AWS/Azure, cloud-native architecture, Generative AI, and Agentic AI.
You will drive end-to-end architecture, guide microservices, data architecture, and integrations while mentoring teams in DevOps, security, and AI governance. This is a senior, hands-on leadership role with a focus on quality and delivery.
We are looking for an experienced
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
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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
.
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.
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
,
Docker, Kubernetes, and Terraform
.
Expertise in
Microservices, APIs, Event-Driven Architecture, Distributed Systems, and System
Integration
.
Experience with
Azure DevOps Pipelines and GitHub Actions
.
Strong database knowledge in
PostgreSQL, MySQL, SQL Server, MongoDB, Redis, and/or
DynamoDB
.
Experience with
Unit Testing, Integration Testing, BDD, Performance Testing, and Test
Automation
.
Strong understanding of
Observability, Monitoring, Security, and DevSecOps
.
Experience with
Generative AI, LLMs, RAG, and Agentic AI architectures
.
Strong communication, stakeholder management, mentoring, and technical leadership skills.