Jobs at Hexaware Technologies

Senior Oracle CPQ Cloud developer/technical lead responsible for end-to-end CPQ implementations, BML/BMQL development, integrations with CRM/ERP, CPQ Commerce configuration, BOM mapping, data management, XSL-based proposal/page templates, code migration, and translating business requirements into BigMachines functional specifications.

Design, build, and operate a secure, scalable Generative AI platform on AWS (including Bedrock) to support production LLM applications in regulated financial environments. Own platform lifecycle: architecture, deployment, operations, monitoring, incident management, reliability, and performance. Implement LLM inference, RAG, Agents, guardrails, observability, security controls, access management, compliance, and cost optimization. Provide production support, reliability engineering, and AI governance.

Lead test automation efforts: design, develop and execute Java-based automation (Selenium/Cypress), API/REST automation, E2E and UAT testing. Create test cases, scenarios and test data, run automation in CI/CD, generate test reports, and apply recent AI knowledge.

Lead onshore data engineering/solution lead responsible for hands-on implementation, mentoring junior developers, and managing onshore/offshore teams. Build ETL and data warehouse solutions using Azure (ADF, Synapse), Databricks, PySpark/Python and SQL. Create design artifacts, source-to-target mappings, and specification documents; able to work from client office locations.

Design, implement, and operate data platform infrastructure and CI/CD automation. Set up tools (Snowflake, AWS, SnapLogic, Alation), build sandboxes for PoCs, define release/test/support processes, enforce standards, run vulnerability scanning and risk monitoring (e.g., Snyk), perform root cause analysis, and mentor developers.

Design, configure and implement ServiceNow HRSD solutions including case management, portals, integrations, workflows, forms, reports, ACLs, and monitoring. Collaborate with HR product owners, business users, and IT teams to deliver secure, scalable global employee experience and provide technical leadership, documentation, code reviews, and troubleshooting.

Design, build, test, and maintain cross-platform mobile apps using React Native. Integrate REST/GraphQL APIs and third-party SDKs, optimize performance on iOS/Android, support CI/CD and test automation, collaborate with designers and native engineers, and integrate AI-enabled features while ensuring security and privacy.

Design, build, and operate a secure, scalable Generative AI platform on AWS (Bedrock) for production LLM applications in regulated environments. Own architecture, deployment, monitoring, incident management, reliability, governance, cost optimization, and AI evaluation/Responsible AI practices.

Serve as a Workday functional SME for Finance and HR: gather client requirements, configure Workday Financials and HR modules, conduct testing and UAT, lead training, provide post-implementation support, perform fit-gap analysis and change management, document solutions, and collaborate on integrations and project delivery.

Lead design, development, and support of the Salesforce ecosystem. Provide technical leadership, design solution architectures, run discovery workshops, build Apex and LWC solutions, implement integrations (HubSpot, NetSuite, DocuSign, etc.), and produce technical documentation and reusable components.

Lead design and execution of test strategies for generative AI systems (LLMs, RAG, agents). Validate accuracy, factuality, fairness, bias, consistency, and security of AI outputs. Create API and model-endpoint tests, automate test suites, perform adversarial and exploratory testing, detect hallucinations, validate data quality and performance metrics, and collaborate with cross-functional Agile/DevOps teams to ensure safe, reliable GenAI deployments.

Senior hands-on Cloud Data Architect responsible for designing scalable, secure Snowflake-based data platforms and lakehouse solutions, enabling enterprise analytics and AI-native applications. Lead architecture, create design artifacts and blueprints, define scope and sizing, translate business requirements into technical solutions, collaborate with security and data teams, mentor junior staff, and guide implementation.

Lead design and implementation of Snowflake-based data architectures; serve as primary Snowflake POC. Design performant Snowflake solutions (data sharing, clean rooms, virtual warehouses, micro-partitions, zero-copy clone, time travel, resource monitors, security). Tune SQL and queries. Work with data virtualization (Starburst, Denodo), Hadoop ecosystem, and build data lakes on Cloudera Data Platform. Strong written and verbal communication.

Develop, test, and maintain applications using Java, Python, or Node.js. Write clean, efficient code, debug and optimize, collaborate with cross-functional teams, use data structures/algorithms, work with SQL/NoSQL databases, participate in code reviews, and stay current on AI/ML concepts, agents, and automation tools.

Design, build, and optimize end-to-end ETL/ELT pipelines using Python and PySpark for large structured and unstructured datasets. Ensure data quality through validation and reconciliation, troubleshoot performance issues, implement CI/CD and code review practices, and collaborate with IT and business stakeholders to translate requirements into scalable data solutions.

Support and maintain enterprise Certificate Authority infrastructure including certificate issuance, renewal, revocation, and PKI operations. Troubleshoot certificate-related issues, ensure PKI security and compliance, collaborate with infrastructure and security teams, and contribute to documentation and process improvements.

Lead design and implementation of data ingestion, data lake, and ETL solutions using Big Data technologies. Build performant cloud data pipelines, integrate multiple data sources, optimize query performance, enable analytics and data science teams, and lead offshore engineering teams.

Manage client project plans and budgets, ensuring alignment with client requirements, while leading Agile ceremonies and promoting best practices. Requires technical knowledge and project management skills to address challenges and enhance collaboration.

Document and reverse-engineer the client's ServiceNow data model and ITSM/CMDB processes. Design API-based incremental extraction into a Bronze layer and specify Bronze->Silver->Gold mappings. Define DNA crosswalk keys, data-quality gates and KPI confidence scoring, and support pipeline development, observability, and automated testing for ServiceNow as a source system.

The Java Architect will design AI-augmented SDLC pipelines, manage multi-agent systems, integrate AI with quality tools, and develop automated testing processes.