Telangana Python django Jobs – 104 Open Jobs Today

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CA0341 - Software Architect

Cloudangles
Hyderabad, Telangana

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Job details

Qualifications

Spring Boot
BCS
CI/CD
Cloud infrastructure
Azure
Oracle
Cloud architecture
Law
Computer Science
Cassandra
React
Kubernetes
Enterprise Software
Encryption
ATS
Microsoft SQL Server
NoSQL
MongoDB
Java
Master's degree
SQL
OOP
AWS
Docker
Bachelor's degree
Machine learning
JavaScript
PostgreSQL
Distributed systems
Terraform
Continuous integration
Redis
RabbitMQ
JPA
REST
Django
APIs
S3
Kafka
Data science
DynamoDB
Flask
AI
RDS database
MBA
Communication skills
Python
Spring framework
Hibernate
MySQL
Workday
Identity & access management
Design patterns

Full job description

About the Role

We are looking for an experienced Software Architect with deep expertise in designing and architecting large-scale enterprise applications, with strong hands-on experience in AI/ML technologies, AWS Cloud, and modern DevOps practices. The ideal candidate should have strong proficiency in at least one backend technology stack — Java or Python — along with solid experience in cloud-native architectures, distributed systems, AI/ML-driven solutions, LLM/GenAI integrations, and AWS services.

This is a high-impact, strategic role involving technical leadership, solution design, and architectural decision-making across complex enterprise environments, with an emphasis on integrating AI and cloud capabilities into modern applications.

Key Responsibilities

Enterprise Architecture

Lead end-to-end architecture design for enterprise-grade applications using Java or Python.
Define system architecture, integration patterns, microservices, and cloud-native solutions.
Design API frameworks, asynchronous systems, and scalable distributed architectures.
Conduct architecture reviews, performance tuning, and security assessments.
Create and maintain High Level Design (HLD) and Low-Level Design (LLD) documentation.

AWS Cloud & DevOps

Architect and implement solutions leveraging AWS services: EC2, Lambda, S3, RDS, DynamoDB, SageMaker, ECR, CloudWatch, IAM, and KMS.
Design and manage serverless architectures using AWS Lambda and the Serverless Framework.
Build and manage containerized workloads using Docker and Kubernetes (EKS).
Implement Infrastructure-as-Code using Terraform (HCL), including remote state management and OIDC best practices.
Establish and optimize CI/CD pipelines for continuous delivery across environments.
Ensure secure, compliant, and cost-optimized use of AWS cloud resources.

AI & GenAI Architecture

Design scalable AI/ML system architectures and integrate them into enterprise applications.
Lead integration of LLM-based solutions using LangChain, OpenAI APIs, and related GenAI frameworks.
Own the conversion of data science notebooks into production-ready, maintainable code and pipelines.
Collaborate with data scientists to operationalize machine learning models in production environments.
Define data pipelines, governance, and storage solutions for AI workloads.
Identify opportunities to leverage AI for predictive analytics, intelligent automation, and decision support.
Ensure fairness, transparency, and compliance in AI adoption (Responsible AI).
Establish KPIs and monitoring frameworks for AI systems to ensure accuracy and scalability.
Assess risks related to AI deployment including bias, adversarial attacks, and data privacy.
Stay ahead of advancements in generative AI, LLMs, and applied machine learning.

Security & Compliance

Implement identity and access management using Azure AD SAML and AWS IAM.
Enforce secret management and encryption best practices using AWS KMS and secrets management tools.
Ensure GDPR-aware handling of PII across data pipelines and application layers.
Assess security risks related to cloud deployments, AI systems, and third-party integrations.

Technical Leadership & Collaboration

Provide technical leadership and guide development teams across multiple projects.
Evaluate and recommend technology stacks, frameworks, and architectural approaches.
Collaborate with Product, QA, DevOps, Security, and UI/UX teams for seamless delivery.
Promote design patterns, code quality, CI/CD adoption, and cloud best practices.
Mentor engineering teams on AI concepts, tools, frameworks, and architectural thinking.

Required Technical Skills

Core Backend (any one stack):

Java — Spring Boot, Spring, Hibernate/JPA
Python — Django, Flask, FastAPI; including familiarity with converting notebooks to production code

AI & GenAI:

LangChain, OpenAI API integration
LLM application design, prompt engineering, RAG pipelines
ML model operationalization and production deployment

Architecture & Design:

Microservices, distributed systems, event-driven architectures
RESTful API design and integration patterns
Messaging systems — Kafka, RabbitMQ, Service Bus
OOP, SOLID principles, DDD, clean architecture

AWS Cloud & Infrastructure:

EC2, Lambda, S3, RDS, DynamoDB, SageMaker, ECR, CloudWatch, IAM, KMS
Serverless Framework, AWS Lambda-based architectures
Terraform (HCL) — remote state, OIDC best practices, modules
Docker, Kubernetes (EKS)
CI/CD pipeline design and implementation

Security & Compliance:

Azure AD SAML / SSO integration
AWS KMS and secrets management
GDPR-aware PII handling in data and application layers

Databases:

SQL — PostgreSQL, MySQL, SQL Server, Oracle
NoSQL — MongoDB, Cassandra, Redis, DynamoDB

Good to Have (Future Scope):

React / Next.js frontend development exposure
Workday API / ATS integration experience

Soft Skills & Leadership:

Strong architectural decision-making and communication skills
Clear documentation capability (HLD/LLD)
Ability to lead and influence engineering teams and stakeholders
Strategic mindset focused on scalability, reliability, and performance

Minimum Education

Bachelor's degree in Computer Science / Engineering or equivalent
MBA from IIM preferred for candidates applying under the 3–5 year relevant experience criteria

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python django jobs in telangana

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