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Lead Application & Product Architect, Audit

Job in Coppell, Dallas County, Texas, 75019, USA
Listing for: Wolters Kluwer N.V.
Full Time position
Listed on 2026-01-12
Job specializations:
  • IT/Tech
    Systems Engineer
Salary/Wage Range or Industry Benchmark: 125000 - 150000 USD Yearly USD 125000.00 150000.00 YEAR
Job Description & How to Apply Below
Lead Application & Product Architect, Audit page is loaded## Lead Application & Product Architect, Audit remote type:
Hybrid (8 days/month) locations:
USA - Coppell, TXtime type:
Full time posted on:
Posted Yesterday job requisition :
R0053485

As a hands-on
** Lead Application & Product Architect**, you will play a critical role in designing and guiding the implementation of applications across the Global Audit portfolio. In this position, you’ll develop detailed product blueprints, data models, integration patterns, and non-functional requirements (NFRs), ensuring alignment with portfolio standards. You will collaborate closely with product owners and engineering leads, leveraging your ability to code and build quick proofs of concept.

Proficiency in Azure Well-Architected principles, experience with VS Code and Git Hub Copilot, and the capability to reverse-engineer .NET solutions to inform pragmatic designs are essential for success in this role.

You will report to the Principal Application & Product Architect and work a hybrid work schedule from our local office in Coppell, TX. (2 days in office, 3 days remote)
** Responsibilities:*
* · Own product‑level architecture for one or more audit applications: context/container diagrams, runtime flows, data models, and integration contracts.
· Make technology selections within established portfolio standards; document decisions with ADRs and align to governance.
· Author SDD‑aligned documentation (Current/Target/Transition states, security, availability, compliance) and keep it current in version‑controlled repos.
· Define and validate NFRs (performance, security, reliability/DR, operability/observability, cost) with measurable acceptance criteria.
· Guide engineers on implementation details: APIs, events, caching, resiliency, error handling, and observability.
· Build quick POCs and spikes to de‑risk approaches (retrieval/RAG, agent workflow integrations, storage lifecycle, performance tuning).
· Reverse‑engineer .NET services where needed; propose modularization boundaries and refactor plans.
· Design product‑specific interfaces and integrations with adjacent systems; ensure backwards compatibility and contract testing.
· Implement enterprise patterns at the product level (API‑first, event‑driven, zero‑trust, IaC) and coach teams on their application.
· Troubleshoot complex technical issues; drive root‑cause analysis and preventive patterns.
** Outcomes & Measures (examples):*
* · Product architecture doc and diagrams published within first 30 days.
· NFR dashboards live for latency, throughput, availability, error budgets, and security posture.
· Two POCs per quarter with ADRs and go/no‑go decisions.
· Performance targets achieved: p95 ≤ 250 ms for key product interactions; ≤ 500 ms at 3× corpus.
· Reliability targets: service SLO 99.9% monthly; DR RPO/RTO ≤ 15 minutes.
*
* Required Qualifications:

*
* · 8+ years in software engineering; 3+ years in product/application architecture for SaaS or distributed systems.
· Azure (or equivalent) experience: AKS/Kubernetes, Key Vault, Blob/ADLS, networking/ingress, observability; practice of Well‑Architected pillars.· .NET/C# fluency with ability to reverse‑engineer and refactor legacy code (ASP.NET Core, API design, performance profiling).
· VS Code + Git Hub Copilot proficiency for code exploration, test/document generation, and diagram scaffolding; strong prompt discipline.
· Strong documentation skills: C4/Mermaid/sequence diagrams; ADRs; SDD‑aligned records.
· POC execution: spikes across storage, indexing/search, agentic flows, and APIs; measure/report latency, cost, robustness.
*
* Preferred Qualifications:

*
* · AI agent design patterns applied at product level:
· Planner–Executor or Manager→Executor orchestration for product workflows, when to use pipeline vs. swarm patterns.
· Structured task decomposition, tool routing, and prompt specifications with guardrails for cost/performance.
· RAG patterns: chunking, citations, provenance, and evidence binding to audit artifacts.
· Memory/state: short‑term conversation, long‑term vector/graph, thread memory; lineage tracking and immutable evidence stores (WORM).
· Evaluation & safety…
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