Job Description

• AWS Production Environment: Stand up and operate the team’s AWS PROD environment end-to-end — networking, IAM, compute, storage, observability. Set the standards every Strike Team’s workloads will run inside.

• CI/CD Across Strike Teams: Build and maintain unified CI/CD pipelines that all Strike Teams consume. Ensure consistent quality gates, deployment patterns, and rollback safety across 4–6 concurrent projects.

• Vector Database Operations: Own the vector database tier (e.g., OpenSearch, Pinecone, Weaviate, neo4j). Scale indexes, manage ingestion pipelines, and ensure cost-efficient operation as project volume grows.

• API Hosting & Token Optimization: Manage LLM API integrations and hosting — quotas, rate limits, model routing, caching, and ongoing cost optimization across providers (Bedrock, Anthropic, OpenAI).

• Cross-Team Enablement: Build reusable Terraform/CDK modules, golden paths, and platform documentation that let Product Engineers ship features without re-inventing infrastructure.

• Technical Standards: Set platform standards in partnership with the AI Architect, QA Architect, and SecOps Engineer — coherent decisions across infra, AI, quality, and security so that projects compose cleanly

KPIs & Success Metrics

• AWS PROD environment availability and operational SLAs met.

• CI/CD adoption: share of Strike Teams on the unified pipeline; deployment frequency and rollback safety.

• Vector database performance and cost-efficiency (retrieval latency and cost per query within budget).

• LLM API and token-cost optimization — cost per project trending down with no quota incidents.

• Developer enablement: reusable Terraform/CDK modules and golden paths adopted; reduced per-project infra setup time.

Key Skills & Experience

• Education: Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related technical field.

• Experience: 12+ years of software/infrastructure engineering experience, with at least 5 years in a senior platform or cloud architect role.

• Technical Proficiency:

  Deep expertise in AWS — networking (VPC, PrivateLink), compute (ECS/EKS, Lambda), data services (RDS, OpenSearch, S3), and IAM.

  Strong Infrastructure-as-Code skills with Terraform or AWS CDK.

  Hands-on experience operating production vector databases at scale.

  Production experience integrating and operating LLM APIs (Bedrock, Anthropic, OpenAI) — including cost modeling, caching strategies, and observability.

  Strong CI/CD background (GitHub Actions, CodePipeline, or equivalent) with multi-team pipeline design experience.

• Engineering Excellence: Proven track record of operating platforms used by multiple downstream teams. Strong instincts for self-service tooling, golden paths, and developer experience.

• Domain Context: Experience supporting AI or data-intensive workloads in production.

Preferred Skills & Experience

• Guidewire Knowledge: Prior experience with Guidewire Cloud or insurance/regulated-industry platforms.

• MLOps: Experience building MLOps platforms, model evaluation pipelines, or LLM observability stacks.

• Security: AWS security specialization or familiarity with SOC 2 / compliance-driven environments.

• Multi-Region: Experience operating production platforms across multiple AWS regions.