Staff Software Engineer — Search Platform, API & Infrastructure

This posting is for proactive recruitment purposes and may be used to fill current openings or future vacancies within our organization.

 

 

Overview of the Role:
Advanced Content Engineering (ACE) is seeking a Staff Software Engineer to lead the design and delivery of the search platform’s control-plane API and cloud infrastructure. The platform’s core promise is self-service: internal client teams must be able to create a search system, configure an ingestion topology, promote a new index to production, and monitor system health — entirely through APIs — without requiring direct involvement from the platform team. Building, operating, and continuously improving that self-service experience is the heart of this role.
This is a high-ownership, high-leverage position at the intersection of platform engineering, API design, and cloud infrastructure. Staff Engineers on this team define, build, test, deploy, scale, and operate what they ship — full-stack ownership is the baseline, not a bonus. Delivery friction is treated as an urgent engineering problem: the team ships to production constantly, AI-assisted development is the norm, and removing obstacles to fast, safe delivery is everyone’s responsibility. The successful candidate brings enterprise-grade security instincts, deep AWS expertise, and a product-minded approach to developer experience — treating the platform’s API as a product in its own right.

About the Role
In this position, you will focus on:
Platform Control-Plane API
• Plan, design, develop, and own the platform’s management API — the self-service interface through which client teams create and configure search systems, manage ingestion topologies, register reusable components, promote index versions, and monitor system health — resolving problems of diverse scope with innovative thinking and little or no precedent to guide solutions
• Architect the platform’s multi-tenant access model: implement strict data isolation between client tenants, integrate with enterprise identity providers, establish role-based access control across all API endpoints, and define the governance framework that ensures the platform can make credible security commitments to enterprise customers
• Establish API strategy and cross-system integration patterns — designing versioned, backward-compatible interfaces with clear contracts, comprehensive documentation, and developer-experience patterns drawn from best-in-class
search platform providers — and set governance standards that the team follows for all future API surface
• Design and expose the API surface required to support the platform’s evaluation and experimentation workflows — including endpoints that enable the search grading tool to consume experiment run outputs, query/result pairs, and relevance judgments, and that allow client teams to configure and trigger A/B search experiments through self-service interfaces
• Design the configuration data model and persistence layer (DynamoDB and related services) that stores search system definitions, component registry entries, index lifecycle state, and audit logs — applying architectural patterns that scale to the platform’s multi-tenant and multi-region ambitions
• Break down complex business requirements into functional and technical requirements with consideration for security, ethical AI implementation, and operational efficiency; contribute to recommendations where technology transformation can spark business growth

Cloud Infrastructure & DevOps
• Own the platform’s AWS infrastructure as code — defining, provisioning, and maintaining ECS services, MSK clusters, OpenSearch/Vespa deployments, DynamoDB tables, networking (VPC, security groups, NAT), and IAM roles using Terraform or AWS CDK — establishing infrastructure governance standards and a cloud strategy for multi-environment and eventual multi-region operation
• Design and own the CI/CD pipeline for platform services — establishing DevOps culture and toolchain strategy for the team, with a clear mandate to eliminate delivery friction: the team ships to production constantly, and any obstacle to doing so safely is an engineering problem to be solved, not a process to be accepted
• Drive adoption of AI-assisted development practices across the team’s infrastructure and API work — establishing the tooling, patterns, and norms that enable engineers to leverage AI to move faster while maintaining the quality and reliability bar the platform demands
• Own infrastructure cost management: monitor AWS spend across platform components, evaluate architectural trade-offs at the system level, and implement an enterprise performance and optimization framework that keeps the platform’s economics sustainable as it scales — including compute cost governance for inference workloads as custom model serving is introduced
• Implement and operate customer-c