Jobs at Hexaware Technologies

Lead cloud-native development and deployment of .NET/Angular/SQL applications on Microsoft Azure. Implement and manage Docker and Kubernetes/AKS deployments (ingress, scaling, monitoring, secrets, Helm). Integrate secrets with Azure Key Vault, build CI/CD (Azure DevOps/GitHub Actions), troubleshoot containerized environments, and apply cloud security and compliance best practices.

Lead DataStage developer responsible for production support and enhancements: resolve incidents, perform root-cause analysis, implement CRs, develop and optimize DataStage jobs, tune Oracle SQL and UNIX processes, manage scheduling with Control-M, and follow SDLC and release procedures while interfacing with clients.

Develop and maintain infrastructure automation using shell scripting and Python. Manage and troubleshoot application servers (Tomcat, Apache, WebSphere), perform advanced memory consumption analysis, work with CI pipelines and cloud environments (AWS/Azure), and collaborate in Agile teams. Strong communication and problem-solving required; hybrid work required (2 weeks onsite per month).

Design, build, and maintain automated test suites for web applications using Java, Selenium, and Cucumber. Develop automation frameworks (Page Object Model, BDD), integrate tests into CI, add API test coverage, and collaborate with product and engineering to shift testing left and improve release quality.

Design, develop, maintain, and support mainframe applications and processes. Troubleshoot production incidents, perform root cause analysis, tune performance, manage batch jobs and online transactions, participate in testing and deployments, ensure security and audit compliance, and collaborate on modernization or integration initiatives.

Lead end-to-end big data development on Azure Databricks: design/implement data ingestion, preparation, integration and operationalization. Hands-on PySpark coding, advanced SQL, DWH and data architecture knowledge; own coding, testing, debugging and deployment. Strong communication required.

Lead design, deploy, and operate secure, highly available multi-region Azure IaaS/PaaS solutions. Build Infrastructure as Code (Terraform, Bicep, ARM), establish governance and Entra ID security controls, manage migrations and cloud operations, optimize costs, and act as L3 escalation. Mentor team members, manage incident/change/ticket workflows (ServiceNow), create architecture docs and SOPs, and communicate project status to customers and executives.

Identify, analyze, and remediate security vulnerabilities in Java applications using secure coding and dependency upgrade strategies. Leverage GitHub Copilot to assist code remediation, manage framework/library version upgrades to address CVEs, support SAST/DAST/dependency scans, collaborate with dev/security/DevOps teams, and document remediation best practices.

Design and deliver secure, scalable AEM Cloud Service solutions and robust component architectures focused on server-side rendering, accessibility, resilience, and availability. Translate business requirements into enterprise-grade technical solutions, partner with engineers and product teams for consistent platform delivery, and improve developer productivity through modern build, deployment, and operational practices.

Hands-on implementation and optimization of large-scale GCP data pipelines and analytical solutions. Build production data pipelines using BigQuery, Cloud Composer, Dataflow, Dataproc, Cloud Storage, and Pub/Sub. Develop complex transformations following medallion architecture using Python, SQL, and Java/Scala.

Hands-on Big Data Engineer to develop ETL and analytics pipelines on Azure Databricks using PySpark and advanced SQL. Own end-to-end development, data ingestion, preparation, integration, testing, debugging and deployment. Must understand architectures involving Data Lakes, Data Warehouses and Data Marts. Strong communication required.

Design and model Neo4j graph database solutions, define graph schemas, and optimize Cypher queries. Integrate Neo4j with Java, develop backend services using Java 8+ and Spring Boot, build REST APIs, and implement CI/CD on Azure (Azure DevOps). Use Git, Maven/Gradle, and application monitoring.

Implement SAML SSO and identity federation between Salesforce and Anaplan. Build secure Salesforce custom UI using LWC to embed Anaplan dashboards with role-based access. Configure Anaplan workspace, model, and role permissions aligned to Salesforce authorization. Design and govern data exports/integrations to Anaplan via Snowflake, ensuring data quality and scalability. Drive platform governance, manage technical debt, and optimize solutions within Salesforce governor limits, favoring declarative and performance-focused approaches.

Lead SAML-based SSO and identity federation between Salesforce and Anaplan. Build secure Salesforce custom UI (LWC) to embed Anaplan dashboards with role-based access. Configure Anaplan workspace/model/role permissions aligned to Salesforce authorization. Design and govern data exports/integrations to Anaplan via Snowflake, ensure data quality and scalability. Drive platform governance, manage technical debt, and optimize solutions within Salesforce governor limits.

Lead end-to-end solution architecture for Guidewire InsuranceSuite implementations (PolicyCenter, BillingCenter, ClaimCenter). Design integrations using GIF, REST/SOAP, and messaging middleware (MuleSoft, IBM MQ, Kafka). Produce architecture artifacts, define coding/configuration governance, and enforce PCF/Digital Portal standards. Serve as technical authority across delivery lifecycle, conduct architecture reviews and code walkthroughs, mentor developers on GOSU, data model extensions, PCF screens, and workflow design, and build reusable integration accelerators and platform IP.

Hands-on Big Data Engineer responsible for PySpark development on Azure Databricks, writing advanced SQL, and working with DWH, data lakes, and marts. Own end-to-end development including ingestion, integration, testing, debugging, deployment, and operationalization. Strong communication required.

Lead design, development, and optimization of large-scale Azure data pipelines using Databricks, Synapse, and ADF. Build scalable solutions on ADLS Gen2, design ETL/ELT and data models, ensure data quality, security compliance, and implement CI/CD for data workflows via Azure DevOps. Mentor teams and maintain best practices for PySpark/SparkSQL and integration with Informatica/SQL.

Lead design, configuration, and delivery of Guidewire ClaimCenter solutions. Develop workflows, business rules, PCF UI, data model extensions, and integrations (GIF, REST/SOAP, messaging). Guide technical design, enforce coding standards, optimize performance, mentor developers, conduct code reviews, and translate requirements with BAs and QA to ensure quality delivery.

Build and maintain cloud data pipelines and ETL/ELT workflows using Snowflake, Spark/PySpark, and Python on AWS (EMR/Glue). Implement data modeling with SQL, manage Iceberg tables, and integrate CI/CD using CodePipeline/CodeBuild with GitHub/GitLab for deployments.

Lead end-to-end big data development on Azure Databricks using PySpark and SQL. Build and operationalize data ingestion, preparation, integration pipelines across data lakes, data warehouses and marts. Own coding, testing, debugging, and deployment while collaborating with stakeholders and communicating technical designs.