Top Tech Jobs & Startup Jobs

Lead a technical pod delivering Java full-stack applications with React, Python, AI tools, Spring Boot, microservices, and REST APIs. Provide technical team leadership, guide cloud implementations with a preference for Azure, engage directly with clients, and communicate and present effectively. The role is based in Bangalore or Hyderabad and initially requires five days per week in the office during the general shift.

Designs, builds, integrates, and operationalizes enterprise-grade Generative AI, LLM, and Agentic AI solutions. Responsibilities include architecting AI infrastructure and hardware, optimizing performance, cost, power, and scalability, evaluating technologies and vendors, leading integration and testing, and supporting production AI initiatives across client engagements.

Develop, deploy, optimize, and continuously improve AI/ML models and solutions using Python. Manage end-to-end model development and deployment, analyze complex problems, collaborate with cross-functional teams, and apply AI security and risk-management best practices.

Build and maintain IoT platform solutions using Java and AWS. Integrate IoT devices, telemetry, sensor data, MQTT, edge devices, and real-time systems with AWS IoT Core and related services. Develop cloud-based applications using Lambda, S3, EC2, DynamoDB, SNS, SQS, EventBridge, CloudWatch, and API Gateway. Apply data engineering technologies such as Snowflake, Liquibase, or Apache Spark/PySpark.

Build and deploy enterprise AI applications, data pipelines, and GenAI solutions using Python, LLMs, and RAG. Develop backend services and microservices integrating REST APIs, SQL, NoSQL databases, and enterprise data platforms. Optimize AI models for production environments while solving complex technical problems and collaborating effectively with stakeholders.

Develop and maintain scalable Java applications, design Spring Boot microservices, build Kafka-based event-driven solutions, work with NoSQL databases, and create responsive React/Redux frontends. Collaborate with cross-functional teams and participate in application design, development, testing, and deployment.

Lead functional consulting for Oracle Fusion Cloud Procurement, focusing on Purchasing and end-to-end Procure-to-Pay processes. Responsibilities include requirements gathering, gap analysis, solution design, requisition and purchase order workflows, supplier communications, procurement controls, business-unit and buyer assignments, and integrations with AP, inventory, and supplier management. The role also requires creating BR100 and functional design documents while supporting internal controls, audit, and SOX compliance.

Manage enterprise endpoint environments using SCCM/MECM and Microsoft Intune. Responsibilities include application packaging and deployment, patch management, ADR and software update groups, Windows Autopilot, Win32 application deployment, operating system deployment, Azure AD and hybrid join, co-management, Active Directory, DNS, DHCP, Group Policy, and Windows Server administration. The role also requires advanced troubleshooting, analytical abilities, and effective communication.

Develop and deploy AI applications using Python, machine learning, OpenAI technologies, FastAPI, REST APIs, Azure, AutoGen, and MCP. Build and integrate machine learning models, containerize applications with Docker and Kubernetes, implement CI/CD pipelines, and support scalable AI application deployment.

Design and optimize data platform architecture, models, integrations, and database components with a focus on graph databases. Collaborate with data and integration architects and multiple teams on technical decisions, troubleshoot database performance, provide cross-team solutions, and drive knowledge sharing and continuous improvement.