Cloud Engineer

• Define technical vision, architectural blueprints and engineering roadmaps for enterprise-scale applications
• Modernize legacy C++ modules into high-performance, cloud-native services using .NET technologies
• Design robust APIs and integration layers connecting .NET applications with Java and Node.js microservices
• Establish and enforce coding standards, architectural patterns and security best practices across engineering teams
• Conduct architecture assessments and detailed code reviews for mission-critical application components
• Optimize system performance, scalability, reliability, resilience and cost efficiency
• Mentor senior developers and engineers while promoting technical excellence and continuous improvement
• Partner with engineering teams, product managers and executive stakeholders to guide technical decisions
• Evaluate third-party tools, frameworks and cloud technologies to accelerate secure and sustainable delivery

Dotnet Architect – Cloud

• Serve as the cloud architecture subject matter expert, providing strategic direction, governance, and technical leadership across cloud platforms and services
• Lead the design, deployment, and operation of secure, scalable, and cost-effective cloud solutions across AWS, Azure, and other cloud environments
• Manage complex cloud initiatives from strategy through implementation, partnering with project managers, engineers, vendors, and service providers
• Define and maintain cloud architecture standards, design patterns, operational procedures, and technology roadmaps
• Establish and optimize multi-cloud operational support models, including processes, runbooks, and standard operating procedures
• Collaborate with business stakeholders, research and development teams, security teams, and enterprise architects to design integrated cloud solutions
• Guide cloud migration initiatives, including application modernization and large-scale infrastructure transitions
• Champion infrastructure as code, automation, DevOps, and cloud governance practices to improve efficiency and delivery
• Evaluate architectural risks and develop mitigation strategies that support business continuity, security, compliance, and operational excellence
• Drive continuous improvement in cloud performance, reliability, security, scalability, disaster recovery, and cost optimization

Senior Cloud Architect

• Architect and lead Azure-based Disaster Recovery and Business Continuity Planning solutions
• Design and maintain Azure DR architectures using Azure Site Recovery, Azure Backup, and multi-region strategies
• Define RTO/RPO targets, recovery strategies, and application dependency mapping for Azure workloads
• Develop and govern Azure DR/BCP policies, standards, and recovery plans
• Conduct risk assessments and Business Impact Analysis for Azure and hybrid environments
• Plan, execute, and oversee Azure DR drills, failover/failback tests, and BCP exercises
• Ensure compliance and audit readiness aligned with security, regulatory, and organizational requirements
• Identify resiliency gaps and drive continuous improvement in Azure recovery capabilities
• Collaborate with cloud, application, security, and leadership teams for DR/BCP readiness
• Own governance, documentation, and stakeholder communication as Azure DR/BCP Architect and Lead
• Lead DR tabletop exercises through scripted failure scenarios
• Conduct full-scale DR drills and oversee failover to secondary sites or cloud, including monitoring restore times, data integrity, and failback processes
• Perform hands-on testing of critical Oracle EBS modules, databases, and cloud workloads to ensure recovery

Lead Architect – Azure DR

• Design, deploy, and manage cloud-based infrastructure using Microsoft Entra ID
• Administer and optimize Microsoft 365 services, including Exchange Online, SharePoint, Teams, and Intune
• Implement and manage identity and access management policies using Entra ID, including Conditional Access, MFA, and RBAC
• Automate provisioning and configuration tasks using PowerShell
• Monitor system performance, availability, and security using ManageEngine ServiceDesk Plus, Vulnerability Management, and Log360
• Set up, deploy, and administer ManageEngine MDM on Macintosh and Windows clients
• Manage the Egnyte Storage platform
• Collaborate with internal teams to enforce data protection and governance policies
• Support incident response and root cause analysis for cloud-related issues
• Create and maintain documentation and knowledge base articles for internal IT teams
• Configure SaaS environments for SSO
• Automate computer provisioning using Windows Autopilot, Apple Business Manager, and ManageEngine MDM
• Manage cloud-based infrastructure services including AWS, Sophos Anti-Virus, Mimecast, and Bitwarden
• Provide emergency or pre-planned out-of-hours support when required
• Perform ad hoc IT duties assigned by the manager
• Liaise with suppliers to enable access to IT supplies
• Research and recommend technologies, equipment, and services, documenting implemented systems
• Develop and maintain installation and configuration procedures and documentation
• Respond to and manage Service Desk incidents as a level 3 escalation point
• Report to an offsite manager and manage time and presence independently

IT Cloud Systems Engineer

• Design, develop, and optimize scalable data pipelines using AWS and Databricks
• Build and manage modern Lakehouse architectures leveraging Delta Lake, Iceberg, and Unity Catalog
• Implement data governance capabilities including data quality, data lineage, metadata management, and data security
• Develop ETL/ELT solutions using Python, PySpark, and SQL
• Design and deploy GenAI solutions, including RAG-based chatbots and AI agents
• Implement Context Engineering and semantic search frameworks to improve AI outcomes
• Collaborate with architects, data scientists, and business stakeholders to deliver enterprise data solutions
• Ensure platform scalability, performance, reliability, and cost optimization

Senior Software Engineer – AWS, Databricks, GenAI

• Design, configure, and deploy IVR flows in Genesys Cloud Architect
• Develop and integrate the WhatsApp Business channel within Genesys Cloud
• Configure and optimize Outbound and Skill Based Dialling campaigns
• Act as a technical reference for Marketing rollout initiatives
• Contribute to Genesys Cloud integration architecture with internal applications using the Embeddable Framework, EventBridge, and APIs
• Provide functional and technical support for incidents and requests related to IVR, WhatsApp, and Outbound functionality
• Document solution designs, flows, and configurations
• Prepare technical deliverables, including manuals, diagrams, and test cases, in English and Spanish
• Define and apply best practices, configuration standards, and test plans
• Collaborate with Genesys, system integrators, and vendors on incident resolution and new platform feature evaluation
• Work with Marketing, Operations, Development, and Platform teams to translate business requirements into technical solutions

Senior Genesys Cloud Engineer

• Build production-ready AI applications and deploy them on Azure Databricks and Azure cloud infrastructure
• Design end-to-end data and AI pipelines using Azure Databricks
• Develop ETL/ELT workflows with Python/PySpark and SQL
• Implement CI/CD pipelines for Databricks jobs, notebooks, and workflows
• Integrate Databricks with Azure Data Lake, Blob Storage, Key Vault, Azure OpenAI, Azure Functions, and related services
• Optimize jobs for performance, cost, and reliability
• Build reusable, modular code
• Collaborate with data scientists, platform engineers, and business stakeholders to move models from experimentation to production
• Implement logging, monitoring, and error handling for production pipelines
• Develop and deploy ML and Generative AI models, including LLMs, embeddings, and RAG pipelines, for NLP, computer vision, and predictive analytics
• Fine-tune LLMs using LoRA/QLoRA and integrate them with Azure OpenAI or Hugging Face models
• Implement vector search and retrieval pipelines using FAISS or Azure Cognitive Search
• Apply responsible AI practices, including bias detection and model governance
• Ingest data into Databricks from sources such as SAP and website scraping
• Write scenario-based and edge-case tests and finalize code changes and acceptance criteria with stakeholders
• Send custom notifications from Databricks using APIs and custom Teams channel webhooks
• Build chat UI interfaces and Claude-based applications
• Use graphs to detect rule dependencies and circular references
• Reengineer code and map it to user requirements
• Implement AI safety guardrails and caching mechanisms

Lead/Sr AI Engineer, Azure Data Bricks

• Develop and maintain Microsoft Fabric / OneLake Lakehouse solutions across Bronze, Silver, and Gold layers
• Build reusable data ingestion pipelines and CDC frameworks for sources including GCP, CSV, Excel, email files, and SharePoint
• Implement Bronze-layer ingestion with audit logging, schema validation, schema-drift detection, and error handling
• Develop Silver-layer transformations for cleansing, standardization, data quality, validation, and exception handling
• Build Gold-layer datasets including curated entities, conformed dimensions, business metrics, KPIs, aggregations, and secure views
• Develop and optimize Spark / PySpark, Python, and SQL workloads for scalable data processing
• Build data pipelines using Fabric Data Pipelines, Synapse Pipelines, and Notebooks
• Support Power BI semantic models and Direct Lake data consumption requirements
• Implement data quality checks, reconciliation processes, monitoring, and operational controls
• Follow data governance and security standards, including Purview, RBAC, PII/PHI controls, classification, and lineage
• Troubleshoot pipeline failures, performance issues, data discrepancies, and production incidents
• Collaborate with Solution Architects, Lead Data Engineers, BI teams, and business stakeholders to deliver scalable data solutions

Lead Data Engineer – Azure, Fabric

• Design, implement, and optimize cloud infrastructure and services supporting global software solutions
• Solve complex cloud engineering challenges through advanced technical expertise and cross-functional collaboration
• Shape cloud practices and drive technical excellence across teams and projects
• Analyze complex systems and troubleshoot distributed applications
• Perform root cause analysis and contribute to continuous improvement
• Manage and optimize cloud costs
• Perform other duties and activities as required
• Act in accordance with Duck Creek Technologies’ mission, vision, and core values

Cloud Engineer I

• Design, implement, and optimize cloud infrastructure and services supporting Duck Creek’s global SaaS insurance solutions
• Solve complex cloud engineering challenges using advanced technical expertise and cross-functional collaboration
• Shape cloud practices and drive technical excellence across teams and projects
• Analyze complex systems and troubleshoot distributed applications
• Perform root cause analysis and pursue continuous improvement
• Manage and optimize cloud costs
• Perform other duties and activities as required
• Act in accordance with Duck Creek Technologies’ mission, vision, and core values