4 days ago
Responsibilities
- Define and evolve the end-to-end architecture for cloud-native applications across compute, data, networking, security, and observability layers on AWS.
- Design agentic AI architecture patterns covering multi-agent systems, tool orchestration, memory and retrieval, LLM routing, guardrails, feedback loops, evaluation, and monitoring.
- Establish organization-wide DevOps standards for CI/CD, GitOps, deployment strategies, environment parity, and release engineering.
- Design and oversee platform infrastructure including ECS, EKS, service mesh, API gateways, secrets management, IAM/RBAC, data stores, and multi-account or multi-region AWS topology.
- Lead architecture reviews and make binding technical decisions for high-risk changes while balancing velocity, reliability, cost, and security.
- Define SLOs, SLIs, error budgets, logging, distributed tracing, capacity planning, and incident response frameworks.
- Introduce technologies through proof-of-concept and risk-assessment processes and build communities of practice.
- Create architecture decision records, system diagrams, threat models, and runbooks as sources of truth for platform design.
- Advise Product and Partners on architectural constraints and strategic options.
- Mentor staff and senior engineers and conduct design reviews.
Requirements
- Bachelor’s or master’s degree in Computer Science, Systems Engineering, or a related discipline.
- 8+ years of experience in software engineering and systems architecture, including 3+ years in a dedicated architect or principal engineer role.
- 5+ years of AWS architecture experience at scale, including multi-account organization design, landing zones or Control Tower, VPC design, IAM governance, and cost optimization.
- Experience architecting highly available, low-latency, elastically scalable distributed systems supporting variable production loads.
- Experience designing agentic AI architectures using orchestration layers, agent frameworks such as LangGraph, AutoGen, or Semantic Kernel, tool and API integration, evaluation pipelines, and operational monitoring.
- Expertise in DevOps and platform engineering, including Kubernetes, Terraform or CDK, Helm, ArgoCD or Flux, CI/CD tools, and container security.
- Experience with API gateway patterns including REST, gRPC, and asynchronous event-driven architectures.
- Experience establishing SRE practices such as SLOs, error budgets, runbooks, chaos engineering, and game days.
- Knowledge of cloud security architecture, zero-trust networking, secrets management, SIEM integration, and compliance frameworks such as SOC 2 and ISO 27001.
- Experience with streaming pipelines, data lakes, OLAP/OLTP boundary design, and caching strategies.
- Experience presenting C4 diagrams, sequence diagrams, threat models, and ADRs.
- Experience scaling engineering organizations through architecture standards, platform investment, and internal developer experience improvements.
Benefits
- Comprehensive medical, dental, vision, and matching 401(k) benefits.
- Variable pay opportunity, bonus plan, and flexible time off including volunteer time, vacation, sick leave, and 12 paid holidays.
- Flexible work environment with remote, hybrid, or in-office options; this posting is marked remote.
- Inclusive, purpose-driven culture and employee benefits programs.
Tech Stack
Amazon DynamoDBApache KafkaAWSGitHub ActionsgRPCHarnessHelmJenkinsKubernetesPostgreSQLRedisTerraformVault
Categories
About Experian
Experian builds credit reporting, identity and fraud prevention, and data analytics software that help lenders, insurers, healthcare providers, and marketers make decisions; it also offers consumer credit monitoring and scores. The company earns via data licensing, decisioning software, and subscription services, operates in 30+ countries, is headquartered in Costa Mesa, California, and is a FTSE 100 public company listed on the London Stock Exchange (EXPN); it is one of the three major U.S. credit bureaus.