Seeking a candidate with strong hands-on technical experience in”:
Kubernetes Architecture
LOCATION: Chicago, IL
Hybrid 3 days onsite
Open to h1b
Platform architecture- infrastructure, cloud, networking, storage, observability tooling, Kubernetes.
This is a hands-on architecture role with enterprise-wide impact.
Define and Own Platform Architecture
- Lead architecture design and decision-making for core platform capabilities: container orchestration, streaming infrastructure, cloud architecture, CI/CD and
- GitOps pipelines, and observability
- Develop and maintain target-state platform architectures with clear transition plans from current state
- Own reference architectures for Kubernetes-based workloads, Kafka streaming topologies, Flink stream processing, and AWS infrastructure patterns
- Establish platform architecture standards and guardrails that application teams can build against reliably
- Ensure non-functional requirements — availability, latency, throughput, recoverability — are addressed at the platform level, not delegated to individual application teams
Drive Platform Modernization
- Architect and guide migration of workloads to cloud-native patterns on AWS, including compute, networking, storage, and security services
- Define GitOps model — infrastructure-as-code practices, pipeline standards, environment promotion, and configuration management at scale
- Evaluate and recommend platform technologies and tooling; lead proof-of-concept efforts to validate architectural decisions before commitment
- Identify and reduce platform risk across the portfolio — single points of failure, unsupported dependencies, capacity constraints, and operational gaps
Qualifications
Required
- 10+ years of experience in infrastructure, platform, or systems architecture roles with demonstrated ownership of enterprise-scale platform decisions
- Deep, hands-on expertise with Kubernetes — cluster architecture, workload design, networking, security, and operational patterns at scale
- Hands-on experience architecting Apache Kafka deployments — topic design, partitioning strategy, consumer group patterns, schema management, and operational concerns
- Practical experience with Apache Flink or equivalent stream processing frameworks — job design, state management, and deployment on Kubernetes
- Strong AWS architecture experience — VPCs, EC2, EKS,MSK, S3, IAM, KMS, networking, and security services
- Demonstrated experience designing and implementing GitOps pipelines — infrastructure-as-code, environment promotion, secrets management, and release automation using tools such as Flux, ArgoCD, Terraform, or Helm
- Experience with brownfield/legacy environments alongside cloud-native programs
- Ability to produce clear, comprehensive architecture artifacts: diagrams, ADRs, reference architectures, and transition plans
- Strong communication skills — able to present platform decisions to executive audiences and work through technical trade-offs with engineering teams