CMG (Capital Markets Gateway)

• Design and implement tools and technologies to provision and configure an enterprise software system hosted in Kubernetes • Design and implement architecture and networking solutions within Azure • Automate/script existing processes using languages such as python and bash • Provision, configure, and maintain cloud resources using Terraform and Terragrunt • Actively monitor the application environment and respond to incidents • Conduct root cause analysis for production incidents • Oversee cloud infrastructure and recommend any potential improvements to technology or process • Contribute to team planning to solve engineering challenges • Be a dependable and highly skilled development resource for peers through education and review • Have a broad awareness of related projects and industry trends, and encourage innovative practices among peers • Provide detailed feedback and suggestions to team code reviews • Document and demonstrate solutions through written documentation, diagrams, and readable code

• Design, implement, and maintain monitoring and observability solutions using tools like Prometheus, Grafana Stack (Loki/Grafana/Tempo/Alert Manager), Datadog, and OpenTelemetry. • Define and implement SLOs, SLIs, and error budgets to measure system reliability. • Develop and optimize dashboards, alerts, and reports for system performance and business metrics. • Design actionable alerting strategies to minimize noise and improve MTTR. • Integrate alerting systems with Jira. • Establish and refine runbooks for on-call teams to handle alerts efficiently. • Empower teams to ensure observability coverage and incident response practices. • Analyze system performance metrics, identify bottlenecks, and implement optimizations to improve system efficiency, scalability, and cost-effectiveness. • Help conduct load testing and capacity planning to ensure systems can handle peak traffic loads. • Identify opportunities for automation and develop tools to streamline operational processes, such as fail-over, configuration management, and monitoring. • Implement monitoring and alerting systems within automations to detect and resolve issues proactively. • Collaborate closely with cross-functional teams, including software engineers, operations, and infrastructure teams, to understand system requirements, provide technical guidance, and drive solutions. • Communicate effectively to stakeholders about system changes, incidents, and improvements. • Foment and spread SRE principles and practices across the company.

• Design and implement tools and technologies to provision and configure an enterprise software system hosted in Kubernetes • Design and implement architecture and networking solutions within Azure • Automate/script existing processes using languages such as python and bash • Provision, configure, and maintain cloud resources using Terraform and Terragrunt • Actively monitor the application environment and respond to incidents • Conduct root cause analysis for production incidents • Oversee cloud infrastructure and recommend any potential improvements to technology or process • Contribute to team planning to solve engineering challenges • Be a dependable and highly skilled development resource for peers through education and review • Have a broad awareness of related projects and industry trends, and encourage innovative practices among peers • Provide detailed feedback and suggestions to team code reviews • Document and demonstrate solutions through written documentation, diagrams, and readable code

• Operate as a product engineer focused on solving real user and business problems, not clearing a backlog. You bring ideas, challenge assumptions, and own outcomes. • Work in an AI-first development flow. Use tools like OpenAI Codex and GitHub Copilot not just to go faster, but to do more: explore multiple approaches, validate ideas quickly, and build things that previously wouldn't have been worth the effort. • Primarily focused on backend: designing, developing, and maintaining scalable services with .NET 10, ASP.NET Core, and GraphQL. Comfortable stepping into front-end work when the problem calls for it, since AI-assisted development means you don't need to be a specialist to ship quality UI. • You're aligned to a product team and typically work alongside one or two other engineers on any given project, pairing on tough problems, reviewing each other's work, and shipping together rather than in parallel. • Uphold a high quality bar. Engineers write their own tests at the unit, integration, and end-to-end levels, and every line of code, human-written or AI-assisted, is reviewed by a human before it ships. • Drive technical improvements across the codebase. Proactively identify friction, propose changes, and see them through to adoption. Be a first responder for production. Use DataDog, Grafana, OpenTelemetry, and Microsoft Azure to quickly diagnose incidents, minimize impact, and harden the system against recurrence.

• Design, implement, and maintain monitoring and observability solutions using tools like Prometheus, Grafana Stack (Loki/Grafana/Tempo/Alert Manager), Datadog, and OpenTelemetry. • Define and implement SLOs, SLIs, and error budgets to measure system reliability. • Develop and optimize dashboards, alerts, and reports for system performance and business metrics. • Design actionable alerting strategies to minimize noise and improve MTTR. • Integrate alerting systems with Jira. • Establish and refine runbooks for on-call teams to handle alerts efficiently. • Empower teams to ensure observability coverage and incident response practices. • Analyze system performance metrics, identify bottlenecks, and implement optimizations to improve system efficiency, scalability, and cost-effectiveness. • Help conduct load testing and capacity planning to ensure systems can handle peak traffic loads. • Identify opportunities for automation and develop tools to streamline operational processes, such as fail-over, configuration management, and monitoring. • Implement monitoring and alerting systems within automations to detect and resolve issues proactively. • Collaborate closely with cross-functional teams, including software engineers, operations, and infrastructure teams, to understand system requirements, provide technical guidance, and drive solutions. • Communicate effectively to stakeholders about system changes, incidents, and improvements. • Foment and spread SRE principles and practices across the company.