Senior Staff Software Engineer, Content Intelligence

Arc XP

. Own the end-to-end design of Arc's AI platform, including model routing, prompt management, vector storage, and agentic runtimes .

Posted 10/14/2026full-timeRemote • United StatesSenior💰 $144,600 - $241,100 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and operating backend distributed systems at scale, with a strong focus on AI platform architecture, multi-tenancy, and security practices. Proven ability to lead cross-functional teams, influence technical direction, and ensure system reliability through effective metrics and quality checks.

Highest-signal resume keywords

Backend Distributed Systems DesignPython API DevelopmentAWS Services (Lambda, ECS, S3, etc.)Infrastructure as Code (Terraform, CloudFormation)Multi-Tenant SaaS Architecture

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Backend Distributed SystemsPythonFastAPIAWSTerraformOpenTofuModel RoutingEvaluation HarnessesMulti-TenancyAPI Development

Soft Skills

LeadershipMentoringCollaborationWritten ClarityInfluencing Without Authority

Tools & Technologies

AWS LambdaAWS ECSAWS S3AWS CloudFrontAWS DynamoDBTerraformOpenTofuDatadogKafkaMongoDB Atlas

Industry Keywords

AI PlatformModel RoutingTenant IsolationSecurity ReviewQuality MetricsProduction AI SystemsStreaming MediaMultimodal AI ToolsMedia TechnologyContent Delivery Workflows

Tech Stack

Tools & technologies

AWSDistributed SystemsDynamoDBKafkaMongoDBPythonTerraform

About the role

Key responsibilities & impact

Own the end-to-end design of Arc's AI platform, including model routing, prompt management, vector storage, and agentic runtimes
Lead major architectural changes through solution design, security review, incremental rollout, and deprecation
Set coherent technical direction across the organization and dependent services
Own and evolve evaluation infrastructure and shared AI quality metrics
Lead safe adoption of new models through staged rollouts, quality checks, and recovery paths
Define and maintain AI guardrails for users, tenants, platform reliability, and product alignment
Enforce multi-tenancy and tenant isolation in new development
Partner with Security on privacy-by-default practices, threat modeling, secure design reviews, and vulnerability remediation
Own the release train from customer test environments to production across regions, including hotfixes
Participate in the on-call rotation
Define and track metrics for system health, customer activity, and business-critical workflows
Partner with operations and customer enablement on customer setup and onboarding
Shape the roadmap and advocate for product-area priorities with product and engineering leadership
Lead mob programming sessions, design reviews, and architecture discussions
Mentor and unblock engineers through hands-on collaboration and design partnership

Requirements

What you’ll need

8+ years designing, building, and operating backend distributed systems at scale, including significant experience setting technical direction at the senior, staff, or principal level
Demonstrated ability to lead and architect across teams, influence technical direction without formal authority, and stay accountable for outcomes that depend on other teams' work
Strong Python experience, including production API development with FastAPI or a close equivalent
Deep AWS experience across Lambda, ECS, S3, CloudFront, DynamoDB, Bedrock, CodePipeline, and CodeBuild
Experience with infrastructure as code frameworks, including Terraform, OpenTofu, Terragrunt, CloudFormation, or similar
Hands-on experience building production AI systems, including model routing, retrieval architecture, embedding and chunking strategy, reranking, streaming responses, guardrails, and evaluation harnesses
Experience with multi-tenant SaaS architecture, including tenant isolation enforcement, per-tenant configuration, and usage metering
Demonstrated written clarity across design documents, roadmaps, and runbooks
Practical equivalent experience is weighed equally; no formal degree is required
Preferred: production-scale experience with vector embeddings, storage, and retrieval
Preferred: familiarity with Temporal, Kafka, MongoDB Atlas, Datadog or comparable tooling, multiple model providers and hosting options, OpenAPI, AI-assisted development tools, large-scale multilingual or regional production systems, media/publishing/newsroom technology, streaming media or rich content delivery workflows, and multimodal AI tools

Benefits

Comp & perks

Competitive medical, dental and vision coverage
Company-paid pension and 401(k) match
Three weeks of vacation and up to three weeks of paid sick leave
Nine paid holidays and two personal days
20 weeks paid parental leave for any new parent
Robust mental health resources
Backup care and caregiver concierge services
Gender affirming services
Pet insurance
Free Post digital subscription
Leadership and career development program