EverOps

Backend Engineer

• Lead technical workshops to identify, refine, and prioritize high-impact AI and GenAI use cases aligned with business objectives.
• Translate business problems into system design requirements and AI workflows.
• Assess existing data platforms, pipelines, governance, and accessibility for AI workloads.
• Evaluate data quality, lineage, security, and suitability for training, RAG, and inference patterns.
• Design AI architectures that comply with enterprise security, privacy, and regulatory constraints (PII, PHI, internal policies).
• Evaluate and design integrations across APIs, event streams, and existing systems.
• Evaluate and recommend foundation models and AI services, including Amazon Bedrock, Amazon Nova, and open-source models.
• Analyze tradeoffs across cost, latency, accuracy, and scalability.
• Design GenAI patterns such as RAG, agent workflows, and inference pipelines.
• Produce high-level and detailed AWS reference architectures for prioritized AI use cases.
• Define phased implementation roadmaps that balance speed, risk, and long-term maintainability.
• Identify PoC scope that can be executed within a short engagement.
• Partner with stakeholders to develop ROI and TCO models for AI initiatives.
• Provide cost modeling for model usage, data pipelines, infrastructure, and operations.
• Deliver AI assessment findings and recommendations.
• Create target-state AI platform architecture diagrams.
• Summarize data readiness and compliance assessments.
• Provide model evaluation and selection rationale.
• Define phased implementation roadmap.
• Design and validate PoC.
• Prepare executive-ready presentations and documentation.

AI Platform Architect

DevOps Engineer

• Lead the migration of ad exchange workloads from EC2 to Amazon EKS architecture
• Execute AWS account separation into distinct environments with enterprise guardrails
• Design and maintain a DRY, component-driven infrastructure using Terraform and Atmos
• Architect and operate multi-tenant Kubernetes platforms
• Implement and optimize deployments using ArgoCD and GitHub Actions
• Mentor peers on complex troubleshooting and architectural best practices
• Manage secrets and encryption for secure access and Kubernetes integration

AI Platform Architect

Senior DevOps Engineer