Jobs at Hexaware Technologies

Designs, develops, deploys, and supports enterprise API solutions using Apigee and Kubernetes. Responsibilities include managing API proxies and lifecycles, implementing API security, deploying microservices and containerized workloads, maintaining Kubernetes resources, automating CI/CD pipelines, monitoring performance, troubleshooting production issues, and implementing observability. The role collaborates with developers, architects, and stakeholders to deliver scalable, secure, and reliable cloud-native platforms.

Develop and maintain scalable, secure ServiceNow scoped and custom applications. Apply platform engineering best practices, scripting, integrations, troubleshooting, code reviews, and performance standards. Collaborate with technical and business stakeholders on enterprise implementations while minimizing technical debt. The role requires ServiceNow implementation experience, AWS knowledge, AI-assisted development experience, and five days per week onsite in Alpharetta, Georgia.

Implement, support, and troubleshoot ServiceNow Discovery across enterprise environments. Manage MID Servers, Discovery Patterns, Sensors, IRE, CMDB Health, credentials, performance, and cloud resource discovery across AWS, Azure, and GCP. Develop Python automation and use AI-assisted development tools. Support ServiceNow solutions hosted primarily on AWS, participate in live technical interviews, maintain a ServiceNow PDI, and complete background, employment, and certification verification.

Administer and monitor enterprise backup and recovery infrastructure, troubleshoot complex backup failures, resolve incidents, maintain platforms, support disaster recovery readiness, and participate in upgrades, migrations, and modernization initiatives. The role requires hands-on expertise with Dell Avamar, PowerProtect Data Manager, and PowerProtect Data Domain, plus knowledge of enterprise infrastructure, networking, storage, databases, and virtualization.

Develop and enhance Salesforce solutions using declarative tools, Apex, LWC, asynchronous processing, SOQL/SOSL, APIs, and Salesforce DX. Provide production support, estimate and design enhancements, and lead offshore team members supporting implementations and users.

Leads the design and development of enterprise-wide data and analytics systems using Snowflake, Python, advanced SQL, and AWS services. Requires strong data engineering expertise and experience supporting financial services organizations, with knowledge of asset management and financial markets.

Leads the design and development of enterprise-wide data and analytics systems using Snowflake, Python, advanced SQL, and AWS services including Lambda, Step Functions, and ECS. Requires strong data engineering expertise and practical experience building modern platforms within financial services, with knowledge of asset management and financial markets.

Develop generative AI solutions using Python, AWS, LLMs, chatbots, prompt and context engineering, RAG, vector databases, and agentic AI frameworks. Build coding prompts and contexts with GitHub Copilot, Claude Code, and Amazon Q Developer to convert business stories into production code and pull requests. Design autonomous and multi-agent workflows, memory and token-management systems, caching strategies, MCPs, and real-time AI decisioning features. Auto-lending experience and A/B testing expertise are advantageous.

Administers and supports Omnissa Workspace ONE, Microsoft Intune, and macOS endpoints while developing ServiceNow and Power BI dashboards, KPIs, and executive reports. Automates reporting and operational workflows using Power Automate, PowerShell, Python, and APIs. Monitors endpoint compliance, system health, and security posture; partners with engineering, security, and operations teams; and documents incidents, resolutions, and change-management activities.

Develop and support Salesforce solutions using declarative tools, Apex, Lightning Web Components, asynchronous processing, SOQL, SOSL, Salesforce DX, APIs, and metadata-driven configuration. Provide production support, estimate and design enhancements, implement new functionality, and lead offshore team members supporting production and enhancement delivery.

Supports Workday-related consulting and telecom processes through customer-focused communication, escalation management, process improvement, quality assurance, coaching, mentoring, and team coordination. Requires analytical problem-solving, multitasking, active listening, Microsoft Office proficiency, typing accuracy, written communication at B1/B2 level, and familiarity with GDS and telecom processes.

Develops, configures, and supports Salesforce Service Cloud and Experience Cloud solutions. Builds Apex classes, triggers, batch jobs, Flows, Lightning Web Components, Aura Components, and Visualforce applications. Integrates Salesforce with enterprise and third-party systems through REST and SOAP APIs. Handles security configuration, code reviews, testing, deployments, release management, troubleshooting, and production support while collaborating with stakeholders in Agile environments.

Designs, develops, and deploys enterprise applications using Java, Spring Boot, microservices, REST APIs, cloud services, databases, DevOps tools, and Angular or React. The role also involves AI exposure with Python, LangChain, and LangGraph, along with application security, monitoring, performance, deployment, and collaboration with project teams. The position is onsite in McLean, Virginia.

Owns end-to-end ServiceNow solution architecture across Workplace Service Delivery, Enterprise Asset Management, Field Service Management, and Workflow Data Fabric. Defines platform, CMDB, asset, integration, and security architecture; leads design governance; establishes IntegrationHub, API, MID Server, and WDF patterns; reviews designs; promotes out-of-box adoption; manages technical risk and deployment planning; and guides CMDB, ITAM, HAM, and CSDM initiatives.

Owns end-to-end testing decisions and coordinates scenario alignment, stakeholder sign-off, testing team readiness, testbed criteria, test data preparation, and status communications throughout unified testing.

Lead the design, development, customization, integration, optimization, and support of ServiceNow ITSM solutions. Manage modules including Incident, Problem, Change, Request, Service Catalog, and CMDB; develop scripts, workflows, integrations, and platform enhancements; troubleshoot production issues and support upgrades. Partner with stakeholders to deliver ITIL-aligned solutions, provide technical leadership, and mentor junior developers.

Manages data center vendor procurement and delivery activities, including obtaining quotations, negotiating terms, coordinating kickoff and status meetings, monitoring timelines, validating testing and turnover documentation, coordinating patching and end-to-end testing, and updating installation, acceptance, and circuit records for billing accuracy.

Leads hands-on big data processing, data engineering, and analytics workflows using Azure Databricks, Python, and SQL. Develops insights and reporting with Power BI, Tableau, and Excel. Analyzes complex datasets, communicates findings to business stakeholders, manages competing priorities, meets deadlines, and promotes continuous improvement.

Leads development of cloud-native, AI-powered applications using Python, React.js, OpenAI APIs, Azure OpenAI Service, and Azure AI services. Designs backend services, REST APIs, responsive front ends, third-party integrations, and generative AI capabilities including prompt engineering, embeddings, vector search, and RAG. Responsible for testing, deployment, monitoring, optimization, and collaboration across application development initiatives.

Lead the architecture and delivery of enterprise generative AI solutions across document processing, language, vision, and agentic systems. Design Azure-based pipelines, RAG workflows, multi-agent solutions, integrations, and human-in-the-loop processes. Partner with stakeholders, lead engineering teams, and establish MLOps, governance, security, cost optimization, and responsible AI practices.