The Site Reliability Engineer will modernize reliability engineering by implementing AIOps, observability, and AI-assisted automation to improve service performance. They will also manage on-call production support, lead incident response, and build scalable, resilient platforms.
Manage the end-to-end incident lifecycle, including detection, triage, and resolution while coordinating cross-functional teams. Leverage AI-driven insights and automation to improve system reliability, reduce incident recurrence, and enhance operational outcomes.
The role involves providing advanced technical support for cloud-based solutions and assisting leadership with queue monitoring and case escalations. You will also be responsible for troubleshooting complex software issues and participating in 24/7/365 on-call support rotations.
Design, develop, and maintain scalable backend services and multi-agent systems using Python, FastAPI, and LangChain. Collaborate with cross-functional teams to integrate agents with third-party tools and mentor junior developers.
The Site Reliability Engineer will ensure the reliability, scalability, and performance of services through proactive monitoring, incident management, and system improvements. They will also lead automation efforts, provide on-call production support, and collaborate with engineering teams to implement best practices.
The Business Intelligence Architect will develop and maintain Power BI dashboards, operational KPI reports, and automated reporting pipelines. They will also identify automation opportunities using AI and Python to streamline business processes and improve operational efficiency.
The Site Reliability Engineer will modernize reliability engineering through AIOps, automation, and intelligent incident response. Responsibilities include managing observability pipelines, driving alert-noise reduction, and implementing AI-assisted diagnostics to ensure system scalability and resilience.
Design, implement, and support automation, deployment, and operational reliability across cloud and hosted environments. Partner with engineering and security teams to optimize CI/CD pipelines and integrate AI-driven operations for better service resilience.
Design and implement automation, deployment, and monitoring systems to ensure operational reliability across cloud environments. Lead the integration of AI-driven DevOps platforms to optimize CI/CD pipelines, observability, and infrastructure efficiency.
Build and deploy AI-powered automations across Forethought, Salesforce, and Microsoft Copilot to improve resolution rates. Design scalable support workflows for auto-resolution, case enrichment, and routing to reduce manual operational work.
Design, build, and optimize AI-driven support workflows to improve resolution rates and reduce manual triage across systems like Salesforce and Forethought. Partner with cross-functional teams to implement governed AI agents and monitor performance through measurable reporting.
The Product Owner will manage the product backlog and collaborate with engineering teams to deliver high-quality, customer-focused outcomes. They are expected to integrate AI capabilities to accelerate product discovery, refine requirements, and optimize the product lifecycle.
