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.
Granicus India
12 Remote Job Openings at Granicus India
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.
Develop and maintain SaaS-based web applications while integrating AI-driven solutions into product features and workflows. Collaborate with stakeholders to design scalable, secure architectures and mentor junior team members.
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.
Lead requirement gathering and configuration for Salesforce Service Cloud projects to enhance support operations. Act as a bridge between technical teams and business stakeholders to deliver strategic initiatives and process improvements.
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.
The role focuses on validating AI-generated responses and automating support workflows across Salesforce, Jira, and Wrike. It involves analyzing customer satisfaction data to improve AI model performance and overall customer experience.
Lead a cross-functional engineering team while remaining hands-on with coding for 40-50% of the time. Drive the design, development, and delivery of scalable cloud-native distributed systems and oversee quality engineering governance.