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The Senior Backend Engineer will design scalable notification workflows and alert evaluation pipelines while collaborating with cross-functional teams to enhance the platform's infrastructure.

Owner of end-to-end integration lifecycle: build, test, deploy, and support data pipelines and orchestrations. Lead migration from .NET/SAP CPI to GCP, ensure PII security (PGP/SSH/Secret Manager), provide Tier-3 production support, and develop Vertex AI agents to automate data interactions.

Manage a portfolio of customer renewals and conversions, focusing on software sales, maintaining metrics like GRR and GPIM, and using Salesforce CRM for sales activities.

Own end-to-end integration lifecycle: design, build, test, deploy, and support secure data pipelines (PII-safe), migrate legacy .NET/SAP integrations to GCP (BigQuery-centric), manage orchestration and scheduling, provide Tier-3 support, and help develop Vertex AI agents to automate data interactions.

The role involves providing analytical services, preparing P&L reports, forecasting, modeling structural relationships, and improving processes while collaborating with finance and management teams.

As a Software Engineering Intern, you'll join an agile team to write code, maintain software quality, and grow your skills in a collaborative, international environment.

Lead design and implementation of Salesforce and Impartner architectures to support channel GTM and partner programs. Own channel systems, data models, governance, integrations, and roadmap. Translate channel strategy into scalable processes, drive cross-functional alignment, and manage end-to-end delivery of channel initiatives to improve data quality, pipeline attribution, and partner engagement.

The Account Manager will guide customers through the conversion renewal sales cycle, resolve issues, and manage Salesforce records while achieving sales targets.

Own reliability and uptime of production infrastructure and data platforms. Lead zero-downtime Kubernetes upgrades, manage ELK logging, ClickHouse, and Kafka at scale. Improve observability, runbooks, incident response, CI/CD and IaC automation, and collaborate with engineering, data, and product teams.

Manage and improve email marketing database health, governance, and deliverability. Build audience segments, develop personas, track performance metrics, run A/B tests, and provide analytics and reporting to optimize email strategy and lifecycle campaigns in collaboration with marketing and automation teams.