• Design and evolve GCP-based infrastructure architecture for scalability, resilience, and security. • Define standards for: • Project and environment structure • Multi-region deployments • High availability and failover strategies • Lead architectural reviews for high-impact infrastructure changes. • Ensure infrastructure supports high-scale, multi-tenant SaaS workloads. • Architect and optimize Kubernetes (GKE) platforms for production workloads. • Define and enforce: • Cluster architecture and node pool strategies • Workload isolation and scheduling policies • Upgrade and lifecycle management strategies • Improve reliability, scalability, and operational efficiency of Kubernetes environments. • Design and manage secure and scalable cloud networking: • VPCs, subnets, routing, and firewalls • Load balancing and traffic routing • Own integration with Cloudflare, including: • CDN configuration • WAF rules and DDoS protection • Edge security and traffic management • Ensure low-latency, resilient, and secure traffic flows. • Design and enforce least-privilege IAM architecture across GCP and platform systems. • Define standards for: • Service accounts and roles • Access control policies • Just-in-time access and auditing • Partner with Cyber Security to continuously improve access posture and reduce risk. • Build and enforce secure-by-default infrastructure patterns. • Partner closely with Cyber Security teams to: • Identify and remediate vulnerabilities • Implement security controls and guardrails • Support threat modeling and risk assessments • Secure Kubernetes workloads, networking layers, and cloud services. • Drive adoption and quality of Infrastructure as Code (IaC) using tools like Terraform. • Build reusable infrastructure modules and automation frameworks. • Ensure infrastructure changes are Auditable, Repeatable & Safe • Reduce manual operational work through automation. • Design and improve disaster recovery (DR) and failover strategies. • Define and validate RTO / RPO objectives. • Partner with SRE teams to improve Incident response, System resilience & Operational readiness. • Participate in postmortems and drive systemic improvements. • Identify infrastructure inefficiencies and performance bottlenecks. • Partner with FinOps and Cloud teams to: • Optimize resource utilization • Improve cost visibility and predictability • Balance performance, reliability, and cost in architectural decisions. • Act as a technical leader across Cloud Infrastructure and Security domains. • Mentor SDE2, SDE3, and Lead engineers. • Drive design reviews, architecture discussions, and best practices. • Influence teams across the organization without direct authority. • Work closely with: • Platform Engineering (CI/CD, DevEx) • SRE & InfraOps (operations and reliability) • Cyber Security teams (security and compliance) • Communicate complex technical concepts clearly to stakeholders and leadership.

• Support and maintain Azure-based cloud infrastructure powering the Playa platform. • Manage and optimize Azure Virtual Desktop (AVD) environments. • Assist in the onboarding of desktop products onto the Playa platform. • Support the implementation and rollout of new product features and add-ons. • Troubleshoot and resolve infrastructure and application-related issues. • Collaborate with development teams to support .NET desktop application deployment and operation in the cloud. • Monitor system performance, availability, and reliability, ensuring optimal user experience. • Contribute to automation and operational efficiency improvements. • Participate in incident management, root cause analysis, and continuous improvement. • Work within SCRUM/Agile teams, contributing to sprint planning, stand-ups, and retrospectives. • Document operational procedures, configurations, and best practices.

Title: Senior Metrics Engineer - Grafana Location: Arlington United States Job Description: Why GM Financial Technology? Innovation isn't just a talking point at GM Financial, it's how we operate. From generative AI and cloud-native technologies to peer-led learning and hackathons, our tech teams are building real solutions that make a difference. We're committed to AI-powered transformation, using advanced machine learning and automation to help us reimagine customer interactions and modernize operations, positioning GM Financial as a leader in digital innovation within a dynamic industry. Join us and discover a workplace where your ideas matter, your development is prioritized, and you can truly make a global impact. Software Development at GMF: As a Software Developer at GM Financial you will be fueled by all areas of technology including: multiple domains, AI technology, new tools and coding languages. This role provides you the opportunity to hit the road with the best of your abilities and turn the corner of your new career. Location: Arlington, TX Work Arrangement: Hybrid - 2 days onsite, 3 days remote per week Sponsorship Notice: At this time, we are unable to offer employment sponsorship for this position. This includes, but is not limited to, H-1B, TN, L1, and OPT visa types. Software Development at GMF As a Software Developer at GM Financial you will be fueled by all areas of technology including multiple domains, AI technology, new tools and coding languages. This role provides you the opportunity to hit the road with the best of your abilities and turn the corner of your new career. What makes you a dream candidate? - Expert skills in metrics and dashboard creation - Proficient skills in Grafana and similar data tools - Experience with SQL - Experience using Python for development - The SDE III establishes direction and provides guidance to other team members while consistently delivering on commitments - The SDE III engages beyond the team to accomplish objectives, influencing and collaborating with other teams within GM Financial, and working directly with organizations external to the company - The SDE III is expected to demonstrate mastery of software development practices performed by Scrum teams - The SDE III provides technology leadership and promotes team learning throughout the product development lifecycle - Adoption of and migration to the public cloud within the team as appropriate - The SDE III understands cloud technologies and how best to employ them; and assists other team members to speed the implementation - As a technology leader, the SDE III coaches the team to achieve full participation and high quality reviews - Maintaining a production-first mindset focused on scale, uptime, and the team's ability to rapidly triage/resolve production issues - Investing in our Agile practice to continuously improve product quality, time to market, and team member happiness Have Other Skills? We Use These Too - Software development expertise in one or more high level programming languages - The SDE III has developed language agility to move easily from one product to another - The SDE III promotes modern software development patterns and practices that promote simplicity, understanding, reuse, and security - Expertise optimizing the data architecture, database queries and indexes as a cornerstone for delivering scalable, performant products and services - Ability to implement features across mobile, web, and API service levels as applicable to the product team - Proficient at designing, building, and optimizing automated pipelines with automated testing and automated security controls - Experience working in Agile Scrum teams with demonstrated success leading improvements (getting better/faster/happier) - Brings passion and enthusiasm to the team; leads by example - Champions and executes strategies across teams that deliver measurable business value - Demonstrates mastery of software languages, architecture, and design; is perceived by most as the expert - Works through others to achieve more than individual contribution - Strong interpersonal, verbal, and writing skills - Demonstrated expertise in the following technologies as required for the product being developed: - Low-code environments: Logic Apps, Outsystems - Enterprise Service Bus: Tibco BusinessWorks (APIs and integration workflows) - Pipeline Automation: Azure DevOps (YAML, ARM), Terraform, Jenkins, Chef, Octopus Deploy - Code Scanning: SonarQube, Checkmarx - Source Code repos: Git - Mobile: Xamarin.iOS, Xamarin.Android, Xamarin.Forms - UI: Angular, Javascript, CSS, Node.js, ASP.NET MVC - High level programming languages: Java, C# (.NET MVC and .NET Core), Go - Scripting: Powershell, Bash - Database: Oracle, Microsoft SQL Server, NoSQL (e.g. CosmosDB) - Test Automation: Xamarin.UITest, Specflow, DevTest, Selenium, Test Data Manager, Postman, Maven, TestNG, JMeter - Operating systems: Windows, Linux Work Experience - 4-6 years software development experience required Education - High School Diploma or equivalent required - Bachelor's Degree in Computer Science or related Engineering field; and/or commensurate experience preferred What We Offer On Day One - 401K matching - Bonding leave for new parents (12 weeks, 100% paid) - Tuition assistance - Training - GM employee auto discount - Community service pay and nine company holidays. - Flexible hybrid work environment, 2-3 days a week in office What We Offer: Generous benefits package available on day one to include: 401K matching, bonding leave for new parents (12 weeks, 100% paid), tuition assistance, training, GM employee auto discount, community service pay and nine company holidays. Our Culture: Our team members define and shape our culture - an environment that welcomes innovative ideas, fosters integrity, and creates a sense of community and belonging. Here we do more than work - we thrive. Compensation: Competitive salary and bonus eligibility. Work Life Balance: Flexible hybrid work environment at least 2 days per week in office. #GMFJobs #LI-DH1 #LI-Hybrid

Role Description We are looking for a Cloud Infrastructure Cost Analyst to help us understand, forecast, and optimize the cost structure of our cloud-based products. This role sits between engineering, finance, and data analytics. You will work closely with our Cloud Engineering team to understand how architectural decisions impact infrastructure cost and help the company make better data-driven decisions around scaling, resources, pricing, and usage. You should be comfortable diving into cloud infrastructure concepts, analyzing usage data, and building tools and reports that help engineering, finance, and sales understand the economics of our platform. What you will own - Analyze cloud usage and infrastructure spend to understand the main cost drivers across our platform. - Build and maintain reports on infrastructure cost (e.g. free vs paid tier usage, POC environments, product-level cost). - Work closely with the Cloud Engineering team to understand how architecture and resource usage affect cost. - Develop models to estimate cost per customer, feature, or workload. - Forecast infrastructure spend based on usage trends and upcoming changes in our architecture. - Identify opportunities for cost optimization (e.g. savings plans, resource sizing, usage patterns). - Build internal dashboards and simple tools to make cloud cost data accessible to engineering, finance, and sales. - Support internal teams with data for pricing, deal modeling, and infrastructure planning. Qualifications - Strong analytical skills and experience working with Python and SQL. - Experience analyzing large datasets and building reports or dashboards. - Familiarity with public cloud platforms (AWS, GCP, or Azure) and a basic understanding of infrastructure components such as compute, load balancing, and serverless workloads. - Ability to translate technical usage data into cost models, forecasts, or business insights. - Comfortable working with engineers and understanding how cloud architecture and resource usage affect cost. - Experience working with modern data platforms (e.g. Snowflake or similar). Requirements - Experience with cloud cost analysis, FinOps, or infrastructure cost modeling. - Experience working in cloud engineering, DevOps, or infrastructure-heavy environments. - Familiarity with cloud billing tools or cost management tools (AWS Cost Explorer, GCP Billing, etc.). - Experience with forecasting, budgeting, or usage modeling. Benefits - A remote-first, international team working on cutting-edge AI infrastructure. - A competitive salary with additional perks. - Flexible working hours and async-friendly culture. - High ownership and real impact. - Open-source, engineering-driven culture. - Choose your own laptop equipment. - For US-based candidates, we also offer a comprehensive benefits package including 401k match, health, dental, and vision insurance, plus flexible PTO policy.