Developer - Mastery

Role Summary:

Client is seeking a senior calculation systems Developer/Architect to support technical discovery and modernization planning for the enterprise calculation platform. The role will assess the existing DXC VP/MS-powered calculation ecosystem, understand client customizations, evaluate upgrade options for client Design GUI and the calculation engine, and help define a future-state service-based architecture.

Modernization Context

Area	Positioning
Modernization context	client is evaluating upgrades to client Design GUI, report generation capabilities, and the calculation engine currently powered by DXC VP/MS with client customizations.
Target direction	Support a more modular, API-driven product calculation and rules capability that can be wrapped, abstracted, and incrementally modernized.
AI expectation	Use AI-assisted analysis and development tools such as Claude AI and GitHub Copilot, where appropriate, to accelerate discovery, documentation, code analysis, and prototyping.
Primary outcome	Produce actionable discovery findings, options, risks, dependencies, and roadmap recommendations for client planning and vendor alignment.

Key Responsibilities:

• Analyze the technical architecture of the existing calculation platform, including VP/MS model usage, integration points, data inputs, and calculation outputs.
• Reverse engineer client -specific customizations, interfaces, and dependencies around the DXC VP/MS-powered calculation engine.
• Perform BA-style discovery with business and technical stakeholders to capture requirements, pain points, current-state flows, and decision points.
• Evaluate technical upgrade paths for client Design GUI and related calculation authoring or modeling capabilities.
• Assess API, service, batch, reporting, and downstream integration touchpoints that depend on calculation outputs.
• Partner with BIRT reporting SMEs to understand report engine integration points, data dependencies, and upgrade considerations.
• Identify candidate areas for wrapping, abstraction, modularization, or replacement using product rules, pricing, projection, and scenario services.
• Use Claude AI, GitHub Copilot, and approved tools to accelerate code analysis, documentation, and proof-of-concept work.

Skills:

Required Skills / Experience

Dimension	Expectation
Engineering depth	10+ years of enterprise software engineering, architecture, or legacy-system modernization experience.
Calculation systems	Experience with product calculation engines, rules engines, pricing logic, projections, or highly configurable business rules platforms.
BA/discovery skillset	Required for all Developer candidates as well: stakeholder interviewing, requirement elicitation, process and dependency mapping, current-state documentation, gap/risk identification, and business-facing recommendations.
Integration architecture	Strong understanding of APIs, service orchestration, data contracts, dependency mapping, and enterprise integration patterns.
Legacy assessment	Ability to reverse engineer older platforms, document technical debt, identify coupling, and recommend phased modernization options.
Insurance technology	Experience in life insurance, annuities, illustrations, product definition, policy administration, or financial services technology.
Communication	Ability to translate technical findings into executive-ready recommendations, risks, and roadmap options.

Preferred Skills / Nice-to-Have Experience

Dimension	Expectation
VP/MS or DXC platforms	Hands-on experience with DXC VP/MS, Vantage, Assure Product, or comparable product/modeling platforms.
BIRT reporting & Office 365	Experience with BIRT report engine configuration, templates, data sources, rendering, or modernization. Along with O365 Expert knowledge.
AI-assisted engineering	Practical use of Claude AI, GitHub Copilot, or similar tools for code analysis, refactoring, documentation, and POC acceleration.
Cloud/API modernization	Experience designing modular product services, calculation services, decision services, or strangler-pattern modernization approaches.

Expected Deliverables

• Technical architecture assessment for calculation platform, Design GUI, reporting, and integration dependencies.
• Inventory of critical VP/MS customizations, interfaces, calculation touchpoints, and modernization constraints.
• BA-quality discovery documentation including requirements, stakeholder inputs, current-state flows, gaps, and risks.
• Upgrade options analysis for client Design GUI and calculation engine components.
• Conceptual target-state architecture for modular product rules, pricing, scenario, and calculation services.
• Risk, dependency, validation, and sequencing recommendations for phased modernization.

Engagement Success Criteria

Technical discovery produces enough detail to support vendor sizing, roadmap planning, and architecture decisions.

client has clear recommendations on what to wrap, refactor, upgrade, prototype, or defer.

Risk areas such as calculation/result parity, actuarial validation, reporting dependencies, and integration complexity are clearly identified.

Developers can operate independently in discovery conversations, not just implementation tasks.

EEO:

Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.