Adomik

Backend Engineer

• Build and maintain backend services and APIs in Python as part of our MCP project.
• Collaborate closely with the Product team to understand requirements, propose solutions, and iterate on feedback.
• Optimize existing application code to improve performance and maintainability.
• Share best development practices and contribute to technical documentation.

Python Backend Engineer

Technical Program Manager

• Ensure data availability and quality for customers by evolving connectors and supporting product changes.
• Advance internal ingestion capabilities to maximize customer satisfaction and platform reliability.
• Coordinate Support, CSM, Engineering, and QA (and occasionally clients) to secure delivery.
• Own relationships with Data Sources (API/reporting providers).
• Industrialize connector creation and maintenance (processes, standards, monitoring).
• Expand automation and AI usage to reduce manual work and accelerate operations.
• Own the roadmap and evolution of connectors and ingestion capabilities to sustain platform reliability and unlock product value.
• Deliver data that is available, fresh, and reliable at scale, with clear standards and predictable timelines.
• Strengthen operations and incident management with effective, reassuring stakeholder communication.
• Increase operational leverage through automation and AI, prioritizing repeatability, throughput, and robustness.
• Build constructive relationships with data providers to anticipate changes and minimize disruption.
• Align cross-functional teams (Support, CSM, Engineering, QA) on priorities, quality standards, and execution.
• Execution principles: Reliability first: data availability and quality at scale.
• Leverage and speed: automate repeatable work to increase throughput.
• Customer trust: transparent communication and predictable delivery.
• Anticipation: proactive management of changes on Data Sources.

Python Backend Engineer

Technical Integration Manager