Security Benefit

Actuary

• VM22 modeling development and analysis to prepare for the Company’s VM22 adoption
• Support Stat modeling/preparation of actuarial memorandum, exhibits and reports
• Interpret and analyze model results from actuarial software systems
• Test model enhancements, including regression and unit testing
• Manage other projects as assigned

Full-stack Engineer

• Work up and down the full stack to ship features end to end, from the front end specialists see, through the APIs and services behind it, to the data and integration layers underneath.
• Build the internal Experience Center portal that our specialists use, including case workflows, agent assist, supervisor views, and admin tooling.
• Build and maintain the integrations that bring customer context, AI-drafted responses, and back office data to specialists at the moment of contact.
• Develop the API and service layer that classifies inbound inquiries, assembles customer context, and routes work to the right specialist with a prepared brief.
• Build data-backed views and reporting against Snowflake to give supervisors and operations leadership visibility into volume, queue health, and agent productivity.
• Use AI-assisted coding tools (Cursor, Claude Code, GitHub Copilot) as a standard part of your day, in a team that has invested in those tools and built a real point of view on how to use them well.
• Experiment with new AI tools, models, and techniques as they emerge, and bring back the patterns that work for the team.
• Write, test, and deploy services on AWS using serverless components (Lambda, Step Functions, API Gateway, S3, DynamoDB) and modern CI/CD.
• Partner with UX designers and product managers to turn workflow research and operations interviews into shippable features.
• Monitor, troubleshoot, and continually improve the systems you ship.

Software Engineer

• Enable end-to-end customer-facing Digital Experience platform, including authentication, the API gateway, the unified data layer, fraud and identity, and the application layer on top.
• Shape an outcome-based delivery model for the Digital Experience Center of Excellence: tie engineering investment to measurable customer and business outcomes, validate impact after launch, and prioritize platform work by the outcomes it unlocks.
• Set technical direction, patterns, and engineering standards for the Digital Experience Center of Excellence, including coordination with the Senior Software Engineer leading our internal Experience Center build.
• Lead the hardest design work, and personally own the most critical and complex systems.
• Stay hands-on as an individual contributor: write, review, and ship production code; pair with engineers across both pillars; lead incident response on the most consequential systems.
• Partner with our Enterprise Solution Architects on enterprise-level architecture decisions (auth and identity, API and integration strategy, data architecture, fraud, vendor selection) and represent Digital Experience engineering in those conversations.
• Architect integrations with our core policy administration systems, our fraud and identity providers, our internal generative AI platform, and our identity providers.
• Drive adoption of AI-assisted coding tools (Cursor, Claude Code, Codex) at the team and Center of Excellence level, including the patterns, guardrails, and reviews that make AI-assisted development safe and productive in regulated software.
• Mentor Software Engineers across both the Digital Experience and the Experience Center pillars, and act as the technical career model for our IC track.
• Establish performance, reliability, security, and accessibility targets for the platform, and own the engineering practice that keeps us within them.
• Identify, prioritize, and act on technical debt, platform reuse, and developer productivity work that compound team velocity over time.
• Communicate technical decisions, tradeoffs, and risk clearly to engineering leadership, product partners, and senior business and technology stakeholders.

Staff Software Engineer

• Lead the Experience Center build end to end, from problem framing and architecture through production deployment and operations.
• Drive outcome-based delivery for the Experience Center: partner with product to define the customer and business outcomes that matter, validate impact after launch, and prioritize work by the outcome it enables, not the features it ships.
• Set technical direction and patterns for the Experience Center stack, in close coordination with the Staff Software Engineer leading the customer-facing Digital Experience track.
• Personally write, review, and ship production code daily, especially during the foundational phase of the build.
• Architect integrations with our internal generative AI platform, Salesforce, our core policy administration systems, and our telephony and CTI layer.
• Establish and enforce engineering standards for the Experience Center: code review, testing, CI/CD, security, performance, accessibility.
• Mentor and coach Software Engineers on the Experience Center team, and raise the team’s collective technical capability.
• Champion AI-assisted coding tools (Cursor, Claude Code, Codex) and define the patterns that make them work in production.
• Partner with UX, AI Engineering, automation, the Data Platform team, and the Service Excellence and Experience product team.
• Lead incident response and post-incident review for the systems you own.
• Maintain solution design documents, architecture decision records, runbooks, and onboarding material that scale the team’s knowledge.

Senior Software Engineer

Manager

• Guide customer-centric product and platform teams toward high-quality, predictable delivery.
• Facilitate structured, iteration-based delivery cycles across multiple teams.
• Mentor less-experienced Delivery Managers.
• Drive continuous improvement at both the team and program level.
• Monitor delivery progress and flow across teams, identifying bottlenecks early.
• Address systemic issues impacting delivery effectiveness across multiple teams.
• Serve as a subject matter expert on Agile frameworks and conduct training sessions.
• Facilitate coordination and communication across teams, stakeholders, and Product Managers.

Senior Delivery Manager

Systems Engineer

• Serve as the connective tissue between business operations and technology delivery.
• Translate complex business and operational requirements into actionable system specifications.
• Provide business and technical support on business processes and systems.

Senior Business Systems Analyst

Data Analyst

• Lead operationalization of unstructured data governance across AWS-based cloud platforms, SharePoint, OneDrive, and other enterprise content stores — supporting Data Owners and Stewards in classifying, sensitivity-labeling, and retention-tagging content for AI fitness, regulatory compliance, and eDiscovery readiness
• Enable trusted use of unstructured data in AI, analytics, and RAG solutions; collaborate with the Gen AI & Innovation team and enterprise Risk function to provide governance inputs into AI intake processes, risk assessments, and data asset inventories
• Execute information lifecycle workflows including classification, retention scheduling, disposition, and audit readiness across enterprise content platforms; administer legal hold placement and release under Legal’s direction
• Support administration and user adoption of Microsoft Purview for sensitivity labeling and information protection across Microsoft 365 and connected platforms
• Develop and maintain metadata taxonomies, classification schemas, and controlled vocabularies for unstructured content; administer and extend enterprise data catalog coverage to include unstructured content assets
• Serve as governance SME for Security Benefit’s FSx-to-SharePoint migration initiative, ensuring governance standards — site architecture, content taxonomy, sensitivity labeling, and retention controls — are designed into the platform from the ground up
• Develop and advocate for automated and AI/ML-assisted tagging and classification approaches using Microsoft Purview auto-labeling, SharePoint Syntex, and comparable platform-native capabilities to minimize manual burden on business users
• Partner with Data Owners, Stewards, Legal, Privacy, Platform Architecture, and data teams to design workflows and automation supporting unstructured data classification, retention controls, and access governance
• Develop and deliver training materials, adoption guides, and governance communications to business and technology stakeholders on unstructured data governance standards and tooling
• Mentor and provide technical guidance to IC 1/IC 2 Governance Analysts on classification, metadata, and stewardship practices