AWS architect
Lake Forest, CA
Date Posted:14-Oct-2026
Work Type:On-Site
Job Number:503757
Job Description
Job Title – AWS architect
Duration – 12 months
Location – Onsite. Lake Forest, CA
Job Description:
Visionary and deeply technical R&D Architect to drive the operational maturity of the CONNECT Platform. This is high-impact position that will work side-by-side with our COI, system test and execution teams to identify and address complex issues related to reliability/availability, performance, scale and cost. The problem space will span diverse topics such as deployment pipelines, system testing, feature flags, Kubernetes configuration, resource allocation/utilization, cost management, multi-tenancy architectures.
The successful candidate will be responsible for researching, defining, and validating the advanced architectural patterns and practices required to operate our system at scale.
Key Skills and Knowledge:
Duration – 12 months
Location – Onsite. Lake Forest, CA
Job Description:
Visionary and deeply technical R&D Architect to drive the operational maturity of the CONNECT Platform. This is high-impact position that will work side-by-side with our COI, system test and execution teams to identify and address complex issues related to reliability/availability, performance, scale and cost. The problem space will span diverse topics such as deployment pipelines, system testing, feature flags, Kubernetes configuration, resource allocation/utilization, cost management, multi-tenancy architectures.
The successful candidate will be responsible for researching, defining, and validating the advanced architectural patterns and practices required to operate our system at scale.
Key Skills and Knowledge:
- Collaborative Leadership: Partner directly with COI and execution teams to identify challenges and opportunities for maturing our cloud capabilities. This is a role of influence, not authority.
- Research & Prototyping: Lead research into emerging technologies and architectural patterns. An example is Prototype and validate solutions that enhance our use of Kubernetes and AKS on Azure, focusing on:
- Workload Balancing & Efficiency: Develop advanced strategies for intelligent workload scheduling, auto-scaling, and resource optimization.
- Cost Management: Architect and prove out cost-control models that allow the platform to scale efficiently without compromising performance.
- Reliability & High Availability: Design and validate architectural patterns that ensure system resilience, fault tolerance, and seamless disaster recovery.
- System-Level Validation: Work with system test teams to design and implement experiments that validate the interaction between major system components under stress. Your focus will be on creating scenarios that simulate real-world customer use cases to uncover systemic issues before they reach production.
- Knowledge Transfer and Enablement: Act as a catalyst for skill growth by demonstrating the "art of the possible." Through proofs-of-concept and close collaboration, you will provide the technical credibility and motivation necessary for teams to learn, grow, and adopt new operational paradigms.
Key Skills and Knowledge:
- Expert-Level Kubernetes: Deep, hands-on knowledge of Kubernetes architecture, including the control plane, scheduling, service mesh, network policies, and resource management.
Azure - AKS Expertise:
AWS – EKS Expertise: - Proven expertise in designing and managing complex, scalable solutions on Azure Kubernetes Service (AKS) and AWS EKS. Strong command of the broader Azure and AWS ecosystems.
- Infrastructure as Code (IaC): Proficiency with tools like Terraform or Bicep for automating the provisioning and management of complex cloud topologies.
- CI/CD and GitOps: Strong background in building and optimizing CI/CD pipelines and implementing GitOps principles for automated and reliable application delivery.
- Observability: In-depth knowledge of modern observability stacks, including logging, metrics, and tracing (e.g., Prometheus, Grafana, Azure Monitor, Open telemetry).
- Distributed Systems Architecture: A fundamental understanding of the principles and trade-offs involved in designing and operating large-scale distributed systems.
Applicant Notices & Disclaimers
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At SPECTRAFORCE, we are committed to maintaining a workplace that ensures fair compensation and wage transparency in adherence with all applicable state and local laws. This position's pay range is $64.00/hr – $65.00/hr.