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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Solution Architect - **Company:** Iron Mountain, Inc. - **Location:** Austin, TX, United States (Remote available) - **Experience:** Expert - **Salary:** $107,500.0 - $143,300.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Microsoft Azure, Bash Shell, Cloud Computing, Cloud Engineering, Information Engineering, Disaster Recovery, Python (Programming Language), PostgreSQL, Machine Learning, MongoDB, Software Engineering, SQL Databases, Workflow Management Systems, Software Repository, Scripting, System Availability, Large Language Models, Low Latency, Graphql, Restful APIs, Document Classification, Data Pipelines, Serverless Computing - **Published:** September 25, 2026 - **Apply:** https://dejobs.org/x/x/22E809BCC88D4D25B2D0C25297E61CE3/job/ ## About the Role * 5+ years of experience in Solutions Architecture, Data Engineering, or Software Engineering supporting enterprise cloud platforms. * Hands-on Scripting Proficiency: Active experience in Python, Bash, SQL, and REST/GraphQL API integration development. * Cloud & Data Stack Expertise: Strong technical background in GCP or Azure infrastructure, MongoDB/PostgreSQL, and cloud-native serverless architecture. * AI/ML & IDP Mastery: Deep practical understanding of document classification, OCR/ICR extraction, schema design, and model fine-tuning. * Startup Growth Mindset: Thrives in fast-paced environments with a bias for action, creative problem-solving, and continuous learning. ## Description * End-to-End Solution Design: Lead architectural design and hands-on implementation of custom enterprise use cases, ensuring platform scalability, security, and performance. * Data Pipeline & Workflow Orchestration: Architect and build automated ingestion data pipelines, custom API connections, and intelligent document processing (IDP) workflows operating flawlessly at scale. * Extraction Model & HITL Optimization: Configure and tune machine learning models, Document AI extraction pipelines, and Human-in-the-Loop (HITL) validation workflows for accuracy and speed. 2. Production Readiness & Non-Functional Requirements (NFRs) * Performance & Latency Benchmarking: Guarantee system throughput and p95 processing latency limits against strict customer NFRs before handing solutions over to post-sales execution. * Security & High Availability Architecture: Ensure architectures adhere to strict enterprise security standards, high availability (HA), disaster recovery (DR), and multi-tenant data isolation parameters. * Reusable Blueprint Development: Develop version-controlled code repositories, reusable integration patterns, and standardized solution topology blueprints. 3. Customer Enablement & Field Feedback Loop * Developer Mentorship & Alignment: Work side-by-side with customer developers and system integrator (SI) teams, guiding cloud migrations and mentoring engineering staff on platform best practices. * Pre-Sales Technical Execution: Partner with account teams to conduct technical pitches, execute Proof of Concepts (PoCs), and eliminate complex technical deployment friction. * Co-Defining Tomorrow's Roadmap: Relay real-world technical edge cases, model performance data, and builder feedback directly to Core Engineering to drive next-generation platform features. ## Related Videos - [40 Minutes to Build a Serverless COVID-19 REST and GraphQL APIs](https://www.wearedevelopers.com/videos/208-40-minutes-to-build-a-serverless-covid-19-rest-and-graphql-apis) - [Putting the Graph In GraphQL With The Neo4j GraphQL Library](https://www.wearedevelopers.com/videos/257-putting-the-graph-in-graphql-with-the-neo4j-graphql-library) - [JavaScript? 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