Site Reliability Engineer (SRE)

Intellibus designs and engineers platforms trusted by established FinTech and financial-services firms. Our engineering teams build systems that support mission-critical business operations, data-intensive applications, and financial technology platforms.We value engineers who combine strong technical fundamentals with ownership, sound judgment, and the ability to deliver reliable production systems.The Reliability Engineer RoleWe are hiring a hands-on Reliability Engineer to improve the availability, performance, resilience, and operational stability of enterprise applications and cloud platforms.You will work across cloud infrastructure, application monitoring, incident management, automation, and data platforms to identify reliability risks and deliver measurable improvements. This is an engineering role for someone who can troubleshoot complex issues, automate repetitive operational work, and implement lasting solutions rather than simply respond to alerts.Experience with Microsoft Azure, Python, SQL, and data-intensive applications will be particularly valuable.What You Will DoReliability & Production EngineeringMonitor application health, availability, latency, and system performance.Troubleshoot production incidents, perform root-cause analysis, and implement preventive measures.Improve system resilience through fault analysis, capacity planning, and recovery strategies.Establish and maintain service-level indicators (SLIs), service-level objectives (SLOs), and operational standards.|Cloud & Platform EngineeringSupport and optimize cloud-hosted applications and services on Microsoft Azure.Automate infrastructure and operational tasks using Python and scripting.Improve deployment reliability, configuration management, and release processes.Identify bottlenecks across applications, databases, integrations, and cloud infrastructure.Monitoring & AutomationDevelop monitoring, alerting, logging, and operational dashboards.Reduce manual intervention through automation and repeatable operational workflows.Participate in incident reviews and translate findings into engineering improvements.Data & AI Platform ReliabilitySupport the reliability and performance of data-intensive applications involving SQL, data modeling, and Microsoft Fabric.Help monitor data pipelines, integration workflows, and data-processing failures.Where applicable, support operational monitoring of AI/LLM-enabled services and their dependencies.What Sets You ApartWe are looking for engineers who demonstrate several of the following:You have hands-on experience supporting production applications or cloud platforms.You can troubleshoot complex technical issues and identify root causes independently.You have practical experience with Microsoft Azure and Python scripting.You understand SQL, databases, data flows, and performance troubleshooting.You can automate operational tasks instead of relying on manual processes.You understand monitoring, incident response, capacity planning, and reliability engineering.You take ownership of issues through resolution and prevention.You communicate clearly with developers, infrastructure engineers, and business stakeholders.Technology EcosystemCloud: Microsoft AzureProgramming & Automation: Python, scriptingData: SQL, data modeling, Microsoft FabricReliabilityMonitoring, alerting, incident management, root-cause analysis, performance optimizationEngineering Practices: CI/CD, automation, production support, disaster recovery, service reliabilityCompensation: $75 - $85 / HourOur Hiring ProcessInitial Screening: 15-minute video call with the Recruiting Team.Assessments: One proctored GQ multiple-choice assessment and a SlideWare presentation (under 2 hours).Interview Rounds: Three 30-minute video interviews with the Technical Team, Project Lead, and Executive Team.Offer: Final decision and job offer.If this sounds like the kind of work you want to be doing, apply now. Our team will be in touch within the hour.