R
Rhohyve Ai Labs
Urgent hiring For Architect
Skills
Google Cloud PlatformSQL QueriesMongoDBDockerMicroservicesPyTorchTensorFlowPostgreSQLAWS LambdaKafkaSnowflakeMicrosoft Azure Cosmos DBDatabricksGraphQLJenkinsData AnalysisMachine LearningAIAWSGitHubKubernetesOracleNLP / Natural Language ProcessingComplianceTerraformAzure
1 month ago
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Important information
Contract type:
Permanent
Location:
Bengaluru, Karnataka, India
Work mode:
Hybrid
Published on:
17 September 2026
What they need
Role & responsibilities
- 8 - 14 years of experience in architecture and solution design across multiple technology domains.
- Expert-level proficiency in at least one major cloud platform (Azure, AWS, or GCP).
- Deep understanding of full stack architectures including front-end, back-end, API, and database components.
- Deep experience with microservices, event-driven systems API ecosystems, integration patterns (REST, GraphQL, gRPC), observability, and cloud-native infrastructure.
- Hands-on experience with AI/ML frameworks (TensorFlow, PyTorch, Azure ML, SageMaker) and enterprise AI integration.
- Hands-on expertise architecting GenAI or LLM-based production systems (agents, RAG, vector DBs, knowledge graph, LangChain/LangGraph).
- Strong command of security architecture including LLM safety, content filtering, secrets, mTLS, and identity patterns (OAuth2/OIDC).
- Strong database architecture skills across relational (PostgreSQL, SQL Server, Oracle) and non-relational (MongoDB, Cosmos DB, DynamoDB) systems.
- Proficiency in DevOps and CI/CD automation (Azure DevOps, Jenkins, GitHub Actions).
- Expertise in containerization and orchestration (Docker, Kubernetes) and Infrastructure as Code (Terraform, CloudFormation).
- Excellent communication, presentation, and stakeholder management skills in consulting environments.
Good to Have Skills/Project Experience/Certifications:
- Experience with data lake architectures, ETL pipelines, and streaming platforms (Kafka, Databricks, Snowflake).
- Knowledge of AI-driven architectures, including NLP, computer vision, and predictive analytics.
- Experience with serverless and event-driven systems (AWS Lambda, Azure Functions).
- Familiarity with security and compliance frameworks such as OAuth2, Zero Trust, and OpenID Connect.
- Experience with API gateway and management tools (Apigee, Kong, Azure API Management).
- Proven experience in architecture governance, solution reviews, and pre-sales engagements.
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