Jobs at Hexaware Technologies

Leads quality assurance and testing for asset management, trade, and order management systems. Performs smoke, regression, integration, and user acceptance testing; gathers requirements; creates test plans; manages defects and test reporting; coordinates testing activities; and leads teams and deliverables. Requires strong front- or middle-office asset management experience, knowledge of multiple financial instruments, and familiarity with Charles River or similar order management systems.

Leads complex BPO presales opportunities across geographies, owning the lead-to-closure cycle from RFx responses and proactive proposals through pricing, due diligence, solution presentations, and client visits. Coordinates sales, solutions, operations, finance, technology, and transition stakeholders to deliver competitive proposals. Develops banking-focused go-to-market offerings, thought leadership, and market partnerships while mentoring junior team members and managing senior client relationships.

Lead BPO presales and solutions for banking/financial services clients: respond to RFx/bid requests, create proactive proposals and GTM decks, perform due diligence and commercial modeling, coordinate cross-functional teams, present solutions, host client visits, and support onsite account teams with domestic and global travel.

Leads DevOps engineering as an individual contributor, developing multi-stage CI/CD pipelines, managing source control and repositories, containerizing applications with Docker, operating production Azure Kubernetes Service clusters, provisioning Azure infrastructure through infrastructure-as-code, and automating operational tasks with Python, shell, or PowerShell scripting.

Lead DevOps engineering as an individual contributor, designing multi-stage CI/CD pipelines, managing source-control repositories, and deploying containerized applications. Maintain and troubleshoot production Azure Kubernetes Service clusters, provision Azure infrastructure through infrastructure-as-code tools, and automate operational tasks using Python, shell, or PowerShell scripting. Apply current AI tools to DevOps workflows.

Performs business and functional analysis for travel and airline applications, translating customer needs into user stories, business requirements, process flows, and gap documents. Collaborates with customers, product owners, development, testing, and Scrum teams; facilitates workshops, application walkthroughs, demos, and requirements reviews. Analyzes data and reports, clarifies scope, decomposes requirements, supports business mapping, tracks action items, and delivers knowledge-transfer sessions.

Build and maintain data pipelines using dbt, Python, and Airflow; develop reliable data models and analytics datasets; create Power BI dashboards, semantic models, and DAX measures; investigate and validate data; troubleshoot issues across the data lifecycle; translate business needs into reporting solutions; and collaborate with business, analytics, and engineering teams on production-ready solutions.

Design and implement enterprise-scale data platforms, strategies, and modern cloud data architectures. Define architecture standards, build scalable and secure data platforms, and architect end-to-end solutions spanning data ingestion, transformation, storage, governance, analytics, and consumption. The role requires strong hands-on expertise with dbt and Snowflake, along with broad knowledge of the modern data ecosystem.

Lead manual and automated QA across UI, APIs, and backend systems. Create test scenarios, execute functional and integration testing, develop Playwright automation using Python/PyTest or TypeScript, validate databases with SQL, manage defects, support CI/CD, participate in Agile ceremonies, and contribute to release sign-off. Use AI tools to improve test generation, scripting, analysis, and documentation.

Lead the design and development of scalable Microsoft Fabric data solutions, including end-to-end pipelines, Spark notebooks, ETL/ELT processes, Salesforce ingestion, data modeling, semantic models, and BI reporting. Establish config-driven frameworks, ensure CI/CD and documentation standards, and own deliverables with minimal supervision.

Design and build scalable batch and real-time data pipelines using Databricks, PySpark, Structured Streaming, Delta Lake, and Medallion Architecture. Develop reusable ingestion and data quality frameworks, implement ABAC and RBAC security, and build agentic AI workflows using MCP and serverless computing. Create RAG pipelines with vector database integration, while managing governance, lineage, access controls, CI/CD, and LLM evaluation frameworks through Unity Catalog.

Develop and enhance Oracle FCCS applications, business rules, and calculation scripts. Manage data integration and automation activities, perform testing and deployments, provide production support, analyze requirements, and create technical documentation. The role requires strong Oracle FCCS and EPM Cloud experience across configuration, consolidations, data management, reporting, and application development.

Designs, configures, and supports Medallia Experience Cloud solutions for customer and employee experience programs. Develops surveys, workflows, dashboards, reporting, integrations, and text analytics. Manages data ingestion, transformation, validation, and reporting processes using APIs, Salesforce, SQL, and data warehouses. Collaborates with stakeholders to deliver scalable solutions, troubleshoot implementations, optimize performance, and support testing, deployments, and post-implementation activities.

Develop, optimize, and maintain scalable ETL/ELT data pipelines for structured and unstructured data using Python and PySpark. Ensure data quality through validation, cleansing, transformation, and reconciliation. Collaborate with technical and business stakeholders, troubleshoot performance issues, conduct code reviews, and implement coding standards and CI/CD pipelines. Work with big data frameworks, cloud platforms, databases, data models, schemas, and warehousing solutions.

Build scalable data pipelines for large datasets using Microsoft Fabric, Azure data services, advanced SQL, and Python/Spark. Develop data transformations and apply data modeling principles such as star schemas. Experience working with financial services data is desirable.

Design, develop, and support scalable low-code applications on the Appian platform. Translate client requirements into process models, SAIL interfaces, records, reports, rules, data stores, and integrations. Troubleshoot defects, perform root-cause analysis, document technical solutions, and ensure compliance with Appian best practices, quality standards, and delivery procedures.

Develop, maintain, and optimize native Android applications using Kotlin. Design responsive UIs, integrate features into existing codebases, troubleshoot performance and stability issues, conduct testing and debugging, follow architecture and coding best practices, and collaborate with designers, backend developers, QA teams, and stakeholders.

Design, develop, and support scalable Appian low-code applications, including SAIL interfaces, process models, records, reports, rules, and data stores. Translate client requirements into robust solutions, build REST/SOAP and JDBC integrations, troubleshoot defects, perform root-cause analysis, and maintain technical documentation, compliance, and quality standards.

Leads hands-on DevOps engineering as an individual contributor. Builds and manages multi-stage CI/CD pipelines, source-control repositories, Docker containers, and production Azure Kubernetes Service clusters. Provisions Azure infrastructure using Terraform, ARM Templates, or Bicep, and develops automation scripts with Python, shell scripting, or PowerShell. Uses AI productivity tools such as Microsoft Copilot, ChatGPT, and GitHub Copilot.

Designs and manages Azure DevOps CI/CD pipelines; integrates source control, testing, security, and artifact tools. Containerizes applications with Docker and deploys them to Kubernetes and AKS. Automates Azure infrastructure using Terraform and ARM templates, implements monitoring and alerting, troubleshoots Azure data services, and develops data pipelines for Azure Data Factory, Data Lake, and Databricks.