Application Development Architect

Job not on LinkedIn

🔥 10 minutes ago

🌽 Illinois – Remote

🌽 Illinois – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🏛️ Architect

👻 Ghost score 25%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Ontrac Solutions

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2010

🤖 Artificial Intelligence

💼 Consulting

🤝 B2B

Artificial Intelligence • Consulting • B2B

Ontrac Solutions is an AI-first technology services firm that helps organizations design, implement, and scale AI-driven systems, cloud architectures, and enterprise platform integrations. They provide AI strategy and generative AI implementation (including RAG and intelligent search), cloud migration and optimization (multi-cloud architecture, Kubernetes, Terraform, GitOps, and FinOps), data and integration engineering, CRM/CMS/e-commerce platform development, and embedded technical talent / staff augmentation to move AI from experimentation into production. With innovation hubs in Chicago and Karachi, Ontrac focuses on delivering production-ready AI and cloud solutions that drive measurable business outcomes.

📋 Description

• Own application architecture on assigned billable engagements, including technical design documents, architecture diagrams, and key implementation decisions, and remain hands-on in the codebase where needed • Support Enterprise Cloud Architects in pre-sales by joining discovery sessions, defining application development scope, producing level-of-effort estimates and staffing recommendations, and authoring application development sections of SOWs and proposals • Translate SOW scope into an implementation plan and backlog the engineering team can execute, and keep delivery aligned to that scope • Identify problems in architecture, delivery, or team practice across engagements and resolve them or drive them to resolution without waiting for escalation • Act in the best interest of stakeholders and customers when scope, quality, and timeline compete, escalating conflicts to Application Development leadership and Enterprise Cloud Architects early • Lead engineering teams by setting technical direction, reviewing designs and code from L3 and L4 engineers, and developing engineers • Set and improve the department's engineering standards, including agent-driven delivery procedures, and carry them across engagements • Maintain the billable utilization target set by Application Development leadership while carrying pre-sales responsibilities • Work across multiple customer engagements and pre-sales opportunities concurrently, from initial definition through final delivery

🎯 Requirements

• Professional software engineering and architecture experience with a demonstrated record of operating at a staff or principal level, owning solution architecture for customer engagements and guiding delivery teams • Production delivery experience on Google Cloud Platform • Bachelor's degree in Computer Science or equivalent practical experience • Experience with application architecture for cloud-native systems, including microservices, API design, event-driven patterns, and data modeling • Deep Java and Spring Boot experience, with working knowledge of at least one other backend stack such as Node.js/TypeScript or Python • Experience with GCP application services, including Cloud Run, GKE, Pub/Sub, Cloud SQL or AlloyDB, and IAM • Experience designing agentic AI systems on Google Cloud, including Gemini models, Google ADK, and Vertex AI • Pre-sales skills including discovery facilitation, solution scoping, level-of-effort estimation, and technical input to SOWs and proposals • Ability to author technical design documents and architecture diagrams • Ability to present and negotiate technical trade-offs with customer stakeholders • Leadership of engineering teams, including setting technical direction, resolving problems independently, and developing engineers • Daily use of AI coding assistants and agentic development tools, with the ability to define team usage • Security and compliance awareness for enterprise and public-sector environments • Google Cloud Professional Cloud Architect and other Google Cloud Professional certifications are useful qualifications • Experience with workflow or business rules engines such as Camunda or Flowable is useful • Frontend architecture with React is useful • Experience building reusable platform components or accelerators across engagements is useful • Experience in government or regulated environments is useful • Prior professional services experience at a cloud partner is useful

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