Senior Staff Software Engineer, Content Intelligence

Responsibilities

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

Lead major architectural changes end to end, including solution design, security review, incremental rollout, and deprecation of what it replaced

Set technical direction that holds across the organization, keeping decisions coherent with the services we depend on

Own and evolve the evaluation infrastructure, keeping shared metrics reliable, relevant, and aligned with evolving quality needs

Lead the safe adoption of new models through staged rollout practices, quality checks, and clear recovery paths

Define and maintain AI guardrails that protect users, tenants, and platform reliability while keeping model capabilities aligned with product needs

Own the multi-tenancy model and enforce tenant isolation in all new development

Partner with Security to strengthen privacy-by-default practices, with clear standards for data retention, minimization, erasure, and compliance controls

Partner with Security on threat modeling, secure design reviews, and prioritizing vulnerability remediation

Own the release train from customer test environments to production across regions, hotfixes included, without needing someone else to decide when it is safe to ship

Participate in the on-call rotation

Define and track key metrics for system health, customer activity, and business-critical workflows

Partner with operations and customer enablement to streamline customer setup and onboarding

Drive what gets built. Bring ideas forward, shape the roadmap for your product area, and advocate for priorities with product and engineering leadership

Lead mob programming sessions, design reviews, and architecture discussions, using them to raise engineering standards rather than simply approving changes

Mentor and unblock other engineers through hands-on collaboration and design partnership

Benefits

Competitive medical, dental and vision coverage (benefits may vary based on the job, full-time or part-time schedule, location, and collectively bargained status)

Company-paid pension and 401(k) match (benefits may vary based on the job, full-time or part-time schedule, location, and collectively bargained status)

Three weeks of vacation and up to three weeks of paid sick leave (benefits may vary based on the job, full-time or part-time schedule, location, and collectively bargained status)

Nine paid holidays and two personal days (benefits may vary based on the job, full-time or part-time schedule, location, and collectively bargained status)

20 weeks paid parental leave for any new parent (benefits may vary based on the job, full-time or part-time schedule, location, and collectively bargained status)

Robust mental health resources (benefits may vary based on the job, full-time or part-time schedule, location, and collectively bargained status)

Backup care and caregiver concierge services (benefits may vary based on the job, full-time or part-time schedule, location, and collectively bargained status)

Gender affirming services (benefits may vary based on the job, full-time or part-time schedule, location, and collectively bargained status)

Pet insurance (benefits may vary based on the job, full-time or part-time schedule, location, and collectively bargained status)

Free Post digital subscription (benefits may vary based on the job, full-time or part-time schedule, location, and collectively bargained status)

Leadership and career development program (benefits may vary based on the job, full-time or part-time schedule, location, and collectively bargained status)

May be eligible for a bonus or incentive program

Arc XP is a SaaS platform that provides agile content management and a hosted low-code UI to deliver engaging digital experiences.

Washington, District of Columbia, USA

https://www.arcxp.com/

Distribution of Different Job Fields Receiving Sponsorship

79

Represents job field similar to this job

Engineering and Development

Management and Executive

Product Management

Creatives and Design

Customer Service and Support

Human Resources

Accounting and Finance

Marketing

Legal and Compliance

Trends of Total Sponsorships

*2025

(18)

Qualifications

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 core services, including 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: 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 — much of this role's leverage is text

We weigh practical equivalent experience equally

Production-scale experience with vector embeddings, storage, and retrieval

Familiarity with workflow orchestration frameworks, such as Temporal

Familiarity with event streaming platforms, such as Kafka

Experience with NoSQL and document databases, such as MongoDB Atlas

Experience implementing observability with Datadog or comparable tooling, including APM, LLM observability, and application security monitoring

Experience evaluating and integrating multiple model providers and hosting options

Strong API and developer-experience craft: OpenAPI discipline, versioning, deprecation paths, backward compatibility, and predictable usage contracts

Comfortable leveraging AI-assisted development tools, such as Claude Code, across prototyping, implementation, testing, and documentation while applying strong engineering judgment

Experience evolving large-scale production systems while maintaining customer continuity across multiple languages or regions

Media, publishing, or newsroom technology background

Experience developing streaming media or rich content delivery workflows

Hands-on experience with multimodal AI tools for media analysis and generation, including video, photo, or audio

8+ years designing, building, and operating backend distributed systems at scale, including significant experience setting technical direction at the senior, staff, or principal level.

Required skills

API Design Backward Compatibility, API Design OpenAPI, API Design Versioning, AWS Bedrock, AWS CloudFront, AWS CodeBuild, AWS CodePipeline, AWS DynamoDB, AWS ECS, AWS Lambda, AWS S3, Datadog, FastAPI, Infrastructure as Code CloudFormation, Infrastructure as Code OpenTofu, Infrastructure as Code Terraform, Infrastructure as Code Terragrunt, Kafka, MongoDB Atlas, Multi-Tenant SaaS Architecture, Production AI Systems Chunking, Production AI Systems Embeddings, Production AI Systems Evaluation, Production AI Systems Guardrails, Production AI Systems Model Routing, Production AI Systems Reranking, Production AI Systems Retrieval, Python, Vector Embeddings and Retrieval

Experience

8+ years