| Location | Atlanta, GA |
Aufgaben About UsMercedes-Benz USA headquartered in Atlanta GA is responsible for the sales marketing and service of Mercedes-Benz and Maybach products in the United States. Our people demonstrate a strong commitment to our corporate values customer experience operational excellence and continuous improvement. We are looking for diverse top-notch individuals to join the Mercedes-Benz team and uphold these hallmarks.Job OverviewThe Enterprise Technology Architect owns the technology foundation of CodeCraft the NAFTA shared engineering platform - the runtime cloud infrastructure developer tooling and security controls that application teams across the region build on. Where the Enterprise Solution Architect defines what is built and why the Enterprise Technology Architect defines the technology stack and platform capabilities that make it real the EKS-based cloud-native runtime infrastructure as code and GitOps delivery the CodeCraft common libraries Gradle plugins and managed dependency baseline BOM the CodeCraft CLIforge developer tooling the API gateway and centralized configuration observability and the DevSecOps controls that keep it compliant.The role is accountable for the technical currency reliability and cost efficiency of the platform across a ~40-repository ecosystem - runtime and dependency version baselines container and Kubernetes patterns vulnerability and license remediation cadence - and for the automation increasingly agentic that sustains it without manual toil.CodeCraft serves multiple NAFTA entities. The Enterprise Technology Architect works across Mercedes-Benz USA MBUSA Mercedes-Benz Financial Services MBFS and other NAFTA entities designing platform capabilities that accommodate differing regulatory data-residency cloud-account and isolation requirements from a shared core rather than entity-specific forks.This is a hands-on architecture role expect to prototype review Terraform and platform code and pair with engineers alongside producing designs and standards.ResponsibilitiesPlatform & Enterprise Technology Architecture· Own the CodeCraft technology reference stack JVM and Node runtimes container and Kubernetes EKS patterns ingressservice mesh caching messaging Kafka and data-access patterns.· Architect the cloud-native runtime and its delivery model - Helm charts GitOps ArgoCD environment topology and multi-accountmulti-entity segregation for MBUSA MBFS and other NAFTA entities.· Own infrastructure as code architecture TerraformTerragrunt module design state and environment layout drift detection and reusable infrastructure building blocks consumed by entity teams.·Own the technical design of CodeCrafts shared engineering assets common- libraries Gradle plugins versions BOM and dependency baselines API gateway config-server and the CodeCraft CLIforge developer tooling.· Define developer golden paths - project templates scaffolding and platform SDKs - so the compliant path is the easiest path for teams in every entity.· Architect the observability stack metrics logs traces dashboards SLOs and drive platform reliability capacity and cloud cost engineering.DevSecOps Governance & Standards· Embed security into the platform by design container image hardening and signing secrets management and rotation workload and agent identity least-privilege IAM and software supply-chain integrity.· Own the vulnerability and license remediation cadence across the ecosystem SASTSCA findings dependency currency EOL runtimes and the platform-level automation that drives it down.· Define and steward technology standards - approved runtimes and base images dependency currency and deprecation policy Kubernetes and infrastructure baselines - and drive adoption across NAFTA entity teams.· Lead technical design reviews contribute to architecture governance forums and record decisions as ADRs.· Ensure platform controls satisfy enterprise and entity-specific compliance obligations TISAX ISO 27001 and the additional regulatory requirements applicable to MBFS with evidence and traceability.Automation AI & Innovation· Evaluate emerging technologies and deliver proofs of concept that reduce toil shorten lead time or lower run cost drive adoption of what proves out.· Apply Generative AI and Agentic AI to platform engineering and operations autonomous agents for dependency upgrades vulnerability and finding remediation test and documentation generation infrastructure diagnostics and code review - with human-in-the-loop approval gates.· Design the technical enablement for agents on CodeCraft scoped agent identities and credentials toolMCP integrations agent-ready repository conventions sandboxed execution environments and observability over agent actions.· Apply AI governance and responsible-AI principles to automated changes autonomy boundaries auditability review requirements and rollback paths.· Define and manage by platform metrics - reliability remediation lead time version currency cost per workload agent success and intervention rates.Collaboration & Enablement· Partner with the Enterprise Solution Architect Security and IAM architects to keep target architecture and delivery reality aligned.· Work directly with engineering teams across MBUSA MBFS and other NAFTA entities onboarding to platform standards troubleshooting runtime and infrastructure issues and raising engineering maturity.· Build alignment across entities on shared technology baselines balancing central standardization against entity-specific needs.· Communicate technical trade-offs risks and roadmaps clearly to both engineering and management audiences.· Operate within AgileSAFeSCRUM delivery contribute to PI planning the architectural runway and enabler backlogs.Success Measures - First 12 Months· Standardized runtime Kubernetes and IaC baselines adopted across CodeCraft repositories and consuming applications with measurable conformance.· Platform capabilities consumed by teams in more than one NAFTA entity e.g. MBUSA and MBFS from a shared core without entity-specific forks.· Version currency and vulnerabilitylicense posture demonstrably improved against a defined remediation cadence with no criticalhigh findings past SLA.· Observability and SLOs in place for platform services with actionable rather than noisy alerting and a measured reduction in cloud run cost per workload.· At least one agentic automation in production use on the platform e.g. dependency upgrade or finding remediation operating within approved guardrails with impact measured. Qualifikationen QualificationsEducationBachelors degree in Computer Science Information Technology Engineering or a related field required.Required Qualifications· 10 years of experience designing building and operating enterprise technology solutions including 3 years in a Enterprise Technology Architecture Platform Architecture Enterprise Solution Architecture or Software Architecture role.· Deep hands-on expertise in cloud-native architecture and hybrid-cloud environments containers Kubernetes microservices APIs service-oriented and event-driven patterns and networking fundamentals.· Strong experience with infrastructure as code TerraformTerragrunt or equivalent and GitOps-based delivery Helm ArgoCD or equivalent in multi-account cloud environments.· Experience designing and maintaining shared platform assets - common libraries SDKs plugins dependency baselines and developer tooling - consumed by multiple engineering teams.· Practical DevSecOps depth SASTSCA tooling dependency and vulnerability management secrets management container hardening and least-privilege identity design.· Experience with observability and reliability engineering - metrics logs traces SLOs alerting - and with cloud cost optimization.· Working knowledge of enterprise architecture frameworks and tools such as TOGAF ArchiMate LeanIX or equivalent and of architecture governance and technology standards development.· Experience applying AIML Generative AI and Agentic AI to engineering and operations using platforms such as Azure AI OpenAI AWS BedrockSageMaker Google Vertex AI or equivalent.· Understanding of AI governance responsible AI principles agentic AI risk autonomy boundaries prompt injection data leakage auditability and AI-enabled Software Development Life Cycle SDLC practices.· Proven track record of leading technical initiatives developing proofs of concept evaluating emerging technologies and driving adoption.· Experience working in AgileSAFeSCRUM environments.· Strong analytical problem-solving communication and presentation skills.Preferred Qualifications· Masters degree in a related field.· Certifications AWSAzureGCP Professional Architect CKACKAD HashiCorp Terraform Associate TOGAF or equivalent.· Hands-on depth in the CodeCraft stack Java 21 Spring Boot Gradle Kotlin DSL TypeScript Next.js Python PostgreSQL Kafka Redis.· Experience with the DevSecOps and observability toolchain in use Checkmarx Black Duck SonarQube Artifactory Datadog Grafana OpenTelemetry.· Experience with agentic coding platforms and agent tooling e.g. Devin GitHub Copilot agents Claude Code or equivalent Model Context Protocol MCP and orchestration frameworks LangGraph AutoGen Bedrock Agents Semantic Kernel or equivalent.· Experience delivering shared platforms across multiple legal entities business units or regions with federated governance and differing compliance regimes.· Automotive manufacturing financial services or other regulated enterprise environment experience.EEO StatementMercedes Benz USA is committed to fostering an inclusive environment that appreciates and leverages the diversity of our team. We provide equal employment opportunity EEO to all qualified applicants and employees without regard to race color ethnicity gender age national origin religion marital status veteran status physical or other disability sexual orientation gender identity or expression or any other characteristic protected by federal state or local law.