Architect AWS

We are looking for an Architect to own the technical vision for large-scale, distributed, cloud-native platforms built primarily on AWS (including EKS) and Red Hat OpenShift, with Go, Python, and Node.js, extending into adjacent technologies as engagements require. This role works closely with client stakeholders, engineering leadership, and onshore/offshore delivery teams to define architecture standards, guide technology choices, and ensure platforms are scalable, secure, and cost-effective. The scope is intentionally broader than a single language or service stack: while Go, Python, Node.js, AWS/EKS, OpenShift, and automation form the core, the architect is expected to evaluate and guide adjacent technologies (containers and orchestration, event streaming, infrastructure-as-code, data platforms, and API management) as the right tool for a given problem.

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Key Responsibilities

• Own end-to-end architecture forlarge-scale, distributed, cloud-native systems on AWS (including EKS) and RedHat OpenShift, extending into adjacent technologies such as Kafka, Terraform,and service mesh as needed
• Set platform strategy forcontainer orchestration across cloud (AWS EKS) and enterprise Kubernetes(OpenShift) environments, including decisions on workload placement,portability, and multi-platform standards
• Define enterprise architecturestandards, design patterns, and engineering guardrails across teams
• Lead architecture reviews,produce system blueprints, and maintain technology roadmaps
• Drive an automation-firstengineering culture: infrastructure-as-code, CI/CD, self-healing systems, andobservability
• Guide technology selection andevaluate emerging tools and frameworks across the core stack and adjacenttechnologies
• Act as the primary technical advisor to client stakeholders on platform strategy, with particular depth inUS health insurance and payer environments
• Ensure architecture decisions account for relevant compliance and security requirements (e.g., HIPAA, SOC 2);any compliance-related documentation produced is draft guidance for review against approved source policies, not an attestation of record
• Mentor senior engineers andemerging architects, building technical capability across onshore and offshoreteams
• Partner with pre-sales anddelivery leadership on technical solutioning for prospective and existingclients
• Own non-functional requirements across engagements: scalability, performance, security, cost efficiency, andresilience

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Required Qualifications

• Bachelor’s or Master’s degreein Computer Science, Engineering, or a related field
• 15+ years in softwareengineering, including at least 7 years in an architecture-level role
• Deep expertise in distributedsystems design and cloud-native architecture on AWS
• Strong hands-on background inGo, Python, and Node.js, with the ability to evaluate and guide adjacentlanguages and frameworks as needed
• Proven, hands-on experiencearchitecting and operating container platforms on both AWS EKS and Red HatOpenShift, including workload portability and platform selection trade-offs
• Proven experience designingautomation-first platforms (infrastructure-as-code, CI/CD, orchestration)
• Strong working knowledge ofadjacent technologies: Docker, Kafka or similar event-streaming platforms,service mesh, API gateways, and Terraform
• Experience leading architectureacross multi-team, multi-region engagements, including onshore/offshoredelivery models
• Excellent stakeholdermanagement and client-facing communication skills
• Track record of mentoringengineering teams and setting technical direction at scale

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AI Knowledge & AI-Assisted Development (Required)

• Deep understanding ofAI-assisted and agentic software development practices, with the ability todefine organization- or program-wide standards, tooling choices, and governancefor AI-assisted engineering
• Strong working knowledge ofapplied AI/LLM architecture patterns: LLM APIs, prompt engineering, RAG, vectorstores/embeddings, agent frameworks, and Model Context Protocol (MCP), and howthese integrate with distributed, cloud-native systems on AWS
• Able to evaluate build-vs-buydecisions for AI capabilities and architect AI-enabled features responsiblywithin compliance-sensitive environments, including data privacy and securityguardrails for AI usage around PHI and other sensitive health plan data
• Experience shaping anorganization’s AI adoption strategy for the software …