Senior Systems Integration Engineer

Python Automation and Internal Tooling:

• Design, build, and maintain production-grade automations and internal tools in Python to eliminate manual work.
• Develop resilient API integrations and event-driven workflows with robust error handling, retries, and observability; package reusable libraries and CLIs that standardize how IT automates.
• Codify repeatable infrastructure with Terraform; manage changes via Git and CI/CD.

Systems Data Integrations and Pipelines:

• Build and operate integrations between HRIS/IdP/SaaS and financial platforms, ensuring data quality, lineage, and reconciliation across systems.
• Create and maintain lightweight services that normalize and enrich data flows to power business intelligence and compliance reporting.

Data Analytics and Dashboarding:

• Define KPIs/SLIs/SLOs for core IT services and implement monitoring/alerting.
• Build data warehouses and write SQL against them and build self-serve dashboards for IT, Security, Finance, People Ops, and Engineering; instrument pipelines for accuracy and freshness.

AI Enablement:

• Evaluate and deploy AI tools with guardrails to boost IT productivity; automate helpdesk workflows
• Define and track value metrics (adoption, deflection, CSAT, MTTR, time saved); iterate based on experiments and user feedback.