Jobs at Wipro Technologies

• Design, develop, and maintain scalable data ingestion and transformation pipelines using Azure Data Factory (ADF).
• Build and optimize data processing solutions using Azure Databricks and PySpark.

• Participate in customer discovery to understand users, workflows, pain points, data, systems, constraints and the business outcomes to be improved.
• Translate business problems into clear hypotheses, measurable success criteria, solution options and the smallest credible production-oriented solution slice.

• Design, develop, and maintain automated test scripts for web, mobile, and API applications.
• Build and enhance scalable automation frameworks using Java, Selenium, Appium, and Rest Assured.

• Mechanical Planner
• Electrical Planner

• Lead end to end VLSI components & hardware systems
• Design, analyze, develop, modify and evaluate the VLSI components and hardware systems

Job Description

Job Description

Role: Technical Lead - Ab-Initio

Location: Tampa, FL (3 Days onsite/week)

Job Description

8+ years of experience in Ab Initio Development

Ab Initio ETL Development

Hive, Big Data, PySpark

SQL / Oracle

Unix, Unix Shell Scripting

Control...

• Administer, support, and maintain TIBCO middleware platforms including BusinessWorks (BW), EMS, BusinessEvents (BE), AMX/BPM, and iProcess across all environments.
• Build, configure, deploy, and manage TIBCO infrastructure and application components in Development, UAT, Production, and DR environments.

• Co-ordinate with Onsite Tech lead in refining the user stories for new requirements from product team and prioritization of the new user stories
• Complete the story point estimation for new requirements before the sprint planning

• Administer, support, and maintain Solace PubSub+ and IBM MQ messaging platforms across enterprise production and non-production environments.
• Build, configure, deploy, and manage messaging infrastructure including brokers, queues, topics, VPNs, clients, and messaging services.

• Exceptional written and verbal communication and presentation skills, with the ability to articulate complex technical concepts to both technical and non-technical stakeholders.
• hands-on experience deploying and managing SIEM and SOAR solutions in large-scale enterprise environments, including direct experience with Palo Alto Networks Cortex XSIAM.

• Administer, support, and maintain Apache Kafka and Confluent Platform environments across enterprise production and non-production landscapes.
• Build, configure, deploy, and manage Kafka infrastructure including brokers, topics, partitions, replication, consumer groups, Kafka Connect, and Schema Registry.

• Reference architecture for AI agent identity: registration, attestation, credential issuance, scoping, revocation
• Delegation and on-behalf-of patterns — token exchange, audience restriction, downscoping across multi-agent call chains

• Lead and execute modernization of legacy .NET and Windows-based applications.
• Perform hands-on development using C#, VB.NET, .NET Framework, and .NET Core/.NET.

• Data Platform & Engineering: Design and build scalable Azure data platforms, ETL/ELT pipelines, and analytical solutions.
• Backend Services & Integration: Design and develop REST APIs and backend services using C#, .NET, and ASP.NET Core, Build data and integration services using Azure SQL, Cosmos DB, Kusto, Azure Functions, Event Hubs, and Service Bus.

• In this role, you will be using the experience you have gained throughout your career to assist in the design, development, and implementation of various complex applications.
• We also like for our developers to feel comfortable contributing throughout the application stack, and we believe it is important that you follow best practices established by the team, including proper source code control practices and delivery of unit test cases.

• Translate business features and requirements into detailed Salesforce user stories, technical tasks, and acceptance criteria.
• Lead backlog refinement, sprint planning, and story grooming sessions with development teams.

Job Description

Job Description

Amazon -Agentic/Multi-Agent Work Flow - Forward Deployed Engineer (FDE)

Agent Engineering Skill Set: Experience with framework orchestration (e.g.

• Demonstrated exposure to, or hands-on experience with, GenAI coding assistants used across day-to-day engineering workflows in the SDLC—implementation, refactoring, unit testing, regression support, code reviews, scripting/automation, troubleshooting, and documentation—while applying engineering judgment and validation. Practical familiarity with tools such as GitHub Copilot or Claude Code is expected.

• Develop and maintain automation using Python, Swift, and XCUITest/XCTest
• Perform hands-on iOS device, functional, and end-to-end testing

• Lead end-to-end AWS application modernization and containerization initiatives.
• Assess legacy applications and define rehost, replatform, refactor, or rebuild strategies.