Jobs at Inxite Out

Designs and documents Cloud FinOps processes for enterprise clients. Assesses FinOps frameworks, tooling, maturity, and gaps; develops processes for showback, budgeting and forecasting, marketplace governance, and cost optimization. Produces client-ready process documentation and reporting specifications while collaborating with client FinOps, cloud engineering, finance, application owner, and global delivery teams.

Conduct outbound prospecting through calls, emails, and LinkedIn to generate qualified meetings for the sales team. Research target accounts, personalize messaging, meet daily activity targets, maintain accurate CRM records, and collaborate with sales leadership to refine outreach. The role focuses on new-logo pipeline generation across international markets and enterprise accounts, requiring resilience, organization, coachability, and curiosity about AI and technology.

Lead the design and development of scalable Azure data pipelines and ETL/ELT solutions using Python, PySpark, SQL, Databricks, Data Factory, Synapse, and related Azure services. Provide technical leadership through code reviews, documentation, troubleshooting, mentoring, and engineering best practices. Collaborate with cross-functional teams to translate business requirements into technical solutions and support data warehousing, lakehouse architecture, and governance initiatives.

Manage Azure administration and DevOps infrastructure, including CI/CD pipelines, infrastructure as code, containers, Kubernetes, and microservice deployments. Deploy and scale AI and ETL workloads using Azure services, Python, and PySpark. Implement DevSecOps, secrets management, RBAC, monitoring, logging, governance, and Git-based collaboration while supporting Agile development practices.

Lead global implementations, rollouts, localization, configuration, and support for Microsoft Dynamics 365 Finance and Operations. Responsibilities include finance module configuration, fit-gap analysis, data migration, integrations, testing, cutover, go-live, hypercare, incident management, and month-end close support. The consultant works with multinational stakeholders to standardize finance processes across entities while ensuring compliance with local regulations, IFRS, and GAAP. The role also requires functional documentation, stakeholder management, and collaboration with technical teams.

Lead global Dynamics 365 Finance and Operations Supply Chain Management rollouts, template design, localization, configuration, data migration, testing, cutover, go-live, and post-go-live support. Configure inventory, procurement, sales, distribution, planning, asset management, and warehouse processes. Conduct fit-gap analysis, manage incidents and SLAs, support O2C and P2P processes, and collaborate with finance, manufacturing, technical, and global stakeholder teams.

Designs and executes automated end-to-end tests for AI-powered IVR flows and intent recognition. Builds conversational AI evaluation suites and benchmarks for developer unit testing, creates test cases, and partners with developers to improve quality across conversational interactions. Requires expertise with Google Enterprise CX, Dialogflow, IVR testing, and conversational AI automation testing.

Designs and reviews Microsoft Dynamics 365 Finance & Operations technical solutions, including integrations, customizations, performance optimization, multithreading, debugging, and data management. Resolves complex production and technical issues, reviews X++ code, supports Azure DevOps deployments, and ensures solutions are scalable, maintainable, and upgrade-safe. The role also involves Dual-write, Dataverse, Electronic Reporting, automation scripts, database concurrency, and deployment pipelines.

Develop and maintain scalable data pipelines using Python and PySpark. Build Azure-based ETL and ELT solutions with Data Factory, Data Lake, Blob Storage, Databricks, Synapse, and Azure SQL. Write complex SQL queries, stored procedures, and transformations; troubleshoot pipeline issues; collaborate with technical and business teams; and follow engineering best practices using Git, Azure DevOps, and Jira.