Jobs at Addepto

Develop and modernize business-critical Java platforms by rebuilding legacy Spring and Oracle logic into cloud-native Spring Boot services. Design PostgreSQL data layers, REST APIs, migrations, asynchronous integrations, automated tests, and Databricks data feeds. Support Azure deployment, CI/CD, monitoring, troubleshooting, parallel migration, reconciliation, and production readiness while collaborating with product stakeholders and using AI coding assistants.

Maintain Azure infrastructure, Terraform configurations, CI/CD pipelines, cloud data platforms, serverless services, monitoring, and operational automation. Troubleshoot networking, identity, access, deployments, and production incidents while supporting reliable releases and recovery testing. Develop scripts, runbooks, and tooling improvements, optimize cloud resource usage, and collaborate with software, data, and operations teams. The role requires approximately three years of DevOps or cloud infrastructure experience and practical Azure, Terraform, CI/CD, and automation skills.

Coordinate Poland accounting activities, validate local data against group reporting requirements, post NetSuite adjustments, reconcile general ledger and intercompany transactions, support month-end closing and financial reporting, monitor cash flow, perform bank reconciliations, ensure US GAAP compliance, assist audits, and improve accounting processes.

Oversee accounting, financial reporting, compliance, budgeting, forecasting, cash flow, and working capital for Addepto’s Polish operations. Analyze financial and operational data, monitor KPIs, identify risks and opportunities, and provide data-driven recommendations to management. Manage audits, statutory filings, reconciliations, external accounting providers, financial systems, process improvements, and coordination with international finance teams across Poland, Vietnam, and the United States.

Analyze and reverse-engineer legacy systems and operational processes, document As-Is and To-Be states, define integrations, data mappings, portals, and business rules, and own the prioritized product backlog. Lead stakeholder workshops, specify acceptance criteria, support migration and UAT, coordinate with architects and engineers, and prepare operational documentation and training for platform modernization in the aviation industry.

Design and develop scalable data ingestion pipelines, backend services, REST APIs, and data-processing systems using Python and Django. Build reliable integrations from file and API sources into cloud data platforms, with strong emphasis on validation, data quality, error handling, testing, scalability, and production readiness. Collaborate with stakeholders, maintain CI/CD environments and documentation, use workflow orchestration tools such as Airflow, and contribute to cloud-based data engineering projects.

Plan and coordinate European industry events, conferences, and meetups from selection through follow-up. Build and adapt marketing campaigns for European audiences, support inbound marketing and AI-search visibility, and collaborate with global teams on content, messaging, tools, and integration initiatives. Manage multiple stakeholders across time zones while helping establish the combined organization’s European marketing strategy.

Manages and grows strategic enterprise and scale-up accounts for AI and data consulting services. Builds executive relationships, develops account plans, identifies cross-sell and upsell opportunities, leads QBRs and workshops, negotiates renewals, monitors revenue and pipeline performance, and coordinates delivery and technical teams to ensure client satisfaction and value realization. Represents the company as a trusted AI consulting partner and supports international client engagements.

Design and implement scalable batch and streaming data pipelines on Databricks and cloud platforms; build data transformations, CI/CD and MLOps practices; collaborate with data scientists; create data governance, monitoring, and Power BI visualizations; translate business requirements into performant technical solutions.

Lead design and implementation of scalable, secure architectures bridging legacy systems and cloud-native platforms. Provide technical leadership, define integration patterns (WebLogic, IBM MQ, Kafka), apply DDD, leverage Azure and Kubernetes, document architectures, and mentor teams to ensure performance, reliability, and alignment with business goals.

Design, build, and maintain scalable data pipelines and platforms for batch and streaming data using Spark, Airflow, Iceberg, and cloud services. Optimize ingestion, processing, and storage, collaborate with stakeholders, monitor platform performance, and write high-quality Python/Java/Scala code to support enterprise reporting and analytics.

Lead design and delivery of end-to-end ML/AI solutions: architect systems, implement and validate models, oversee data pipelines, coordinate cross-functional teams, mentor engineers, liaise with clients, and ensure timely Agile delivery.

As an AI Solution Architect, you'll lead AI strategies, design architectures, evaluate frameworks, ensure compliance, and collaborate with teams for production deployment in enterprises.

Lead end-to-end delivery of AI, ML, Big Data, and software projects for international enterprise clients. Act as primary client contact, define scope, manage risks, budgets, and resources, mentor cross-functional teams, drive business-aligned technical roadmaps, support pre-sales, and contribute to account growth and recruitment.

Design, build, and maintain Azure Data Factory pipelines and ETL/ELT processes; monitor and optimize ADF; develop Python components (Azure Functions, API integrations); support Azure SQL/Synapse warehousing and occasional Power BI reporting; contribute to Azure DevOps CI/CD and collaborate with Product Owner and Architect to deliver scalable data platform improvements.

Own the full sales cycle for enterprise AI, Generative AI, data engineering and analytics opportunities in the DACH region: prospecting, engaging C-level stakeholders, developing proposals, negotiating contracts, forecasting pipeline, and representing the company at industry events while collaborating with Pre-Sales, Delivery, Marketing, and Strategic Alliances.

Own the full enterprise sales cycle to acquire new clients for AI, generative AI, data engineering, and analytics services. Prospect and qualify opportunities, engage C-level stakeholders, develop proposals with Pre-Sales and Delivery, negotiate contracts, manage pipeline and forecasting, represent the company at events, and support GTM and handover to delivery and customer success.