Software Architect

• Abacus is scaling fast – more Data Solutions applications, more agent-assisted engineering, more complexity worth getting right
• We’re creating this role to put a single, senior technical voice at the center of that growth: someone who can take sharp architectural judgment and turn it into standards the whole organization can build on with confidence
• We’re looking for an experienced Principal Software Architect to set the technical vision for how Abacus builds, secures, and scales its healthcare data platform
• This is a senior individual-contributor role, not a management track – you’ll be the architecture guru and evangelist for our platform, translating business and customer needs into target-state architectures across data, applications, cloud, and agent-assisted engineering, and mentoring engineers and Solution Architects as you go
• You’ll build the reusable application foundation – design system, application blueprints, integration contracts, and production-readiness gates – that lets Data Solutions applications move fast without reinventing the wheel every time
• And as agent-driven development becomes a bigger part of how we ship, you’ll be the one turning architecture standards into skills, rules, templates, and evaluation rubrics that let AI-assisted output meet the same bar as our best human-written code – putting you at the center of how Abacus builds software for years to come
• You’ll bring enough depth to guide decisions across data, application, integration, cloud, and agentic development, while staying pragmatic about fit-for-purpose architecture and delivery constraints
• You won’t do it alone – you’ll partner closely with Product Engineering, our XPORT Principal Engineering team, AI Engineering, Security, and Client Solutions, bringing architecture to life from concept through production, not just on a whiteboard
• Core architecture leadership:
• Own and evolve the reference architecture for Abacus’s core platform – data ingestion, transformation, distribution, and serving – partnering with teams where ingestion and distribution ownership is shared, and with Product Engineering on application and service layers
• Set and enforce architecture standards for scaling, high availability/disaster recovery design, serverless patterns, and multi-tenant SaaS architecture across our AWS and Azure environments
• Guide architecture for HITRUST and GovRamp compliance alignment, partnering with Security and Compliance so designs meet audit and control expectations from the outset rather than as an afterthought
• Healthcare data and platform architecture:
• Design scalable architectures for payer data solutions spanning claims, membership, provider, clinical, lab, and pharmacy/Rx domains, and their analytical and operational serving layers
• Apply FHIR-based interoperability patterns and healthcare data standards where relevant to product or client implementations
• Establish data contracts, lineage, quality controls, metadata, and integration patterns across ingestion, transformation, and serving layers
• Application architecture and user experience foundation:
• Own the design system and front-end/UX standards for Data Solutions applications, partnering with UX/Design on accessibility, branding, and consistent interaction patterns
• Define standard user-management capabilities – tenant setup, roles, permissions, and admin experiences – as reusable patterns instead of something each team reinvents
• Agent-driven development and AI-enabled engineering:
• Translate approved architecture standards into skills, rules, templates, and evaluation rubrics that our ADD Harness and agent-assisted development workflows can consume directly
• Evaluate agent-generated code and designs against architectural gold standards, and build the scoring and review mechanisms that let us scale the quality of agent-produced merge requests across engineering teams
• Partner with AI Engineering on semantic/context layers, agent interfaces (MCP and A2A), retrieval patterns, AI gateways, evaluation, traceability, and governed model access
• Architecture governance, mentoring, and influence:
• Be an active senior member and contributor to Abacus’s Architecture and Data Guilds – introducing ideas, taking them to realization, and helping drive a culture of innovation through hackathons and beyond
• Mentor engineers and Solution Architects through pairing on designs, reviews, and pilots, growing architectural capability across the team rather than concentrating it in one person
• Establish lightweight architecture review mechanisms that protect critical standards without slowing delivery, measuring adoption through signals like reuse, exception volume, and escaped design defects
• Production readiness and operability:
• Ensure every architecture package includes deployment topology, support model, rollback strategy, and operational telemetry, partnering with DevOps/Platform and Security on CI/CD, infrastructure as code, and observability. Help to establish quality metrics like DORA
• Hold designs to a resiliency bar appropriate for a platform of Abacus’s scale, and help teams reason through trade-offs between delivery speed and operational risk
• In your first 6–12 months, you’ll leave a clear mark on how Abacus builds software:
• Deliver a reference architecture for Data Solutions applications that teams adopt from day one – a shared blueprint, design system, API/data contracts, and starter implementations that let new work move faster instead of starting from scratch
• Stand up the skills, rules, templates, and evaluation rubrics that let our ADD Harness and agent-assisted workflows produce work that meets our architectural bar – a foundation that scales with the team, not just with you
• Build the architecture decision records, non-functional requirements, and operational-readiness checklists that give every release clear evidence it’s production-ready – deployment, observability, support, and rollback accounted for before go-live
• Grow architecture capability across the team through pairing, reviews, and ownership handoffs – leaving Abacus with more senior architectural judgment than it had when you started, not just your own

Benefits

• 401k: Save for your retirement with confidence, leveraging our company-sponsored plan
• Vacation: Recharge with unlimited paid time off
• Ownership: Become not only an employee but an owner of a company on a mission to imrpvoe healthcare
• Health Insurance: From Day 1, maintain peace of mind with our healthcare insurance coverage for you and your family
• Fun: Bond with your fellow teammates during company-sponsored social events

• Excellent communication skills – able to align senior business and technical stakeholders, explain trade-offs, and produce clear architecture artifacts for both technical and non-technical audiences
• A proven ability to establish standards – you’ve helped define architecture patterns and guardrails and gotten teams to adopt them through influence and collaboration. At the senior and principal levels, this extends to leading adoption across teams and mentoring others
• Strong experience with a modern data platform and distributed data processing (e.g., Databricks and Spark, or Snowflake) and with modern application and service architectures (API-first services, with exposure to Python), identity and authorization, and multi-tenant SaaS patterns
• Direct experience building or maintaining reference architectures or developer platforms used by multiple teams
• Drive standardization without sacrificing business agility
• A full-stack engineering background – hands-on experience across services and APIs, data, and cloud infrastructure – that gives you the credibility to guide architecture end to end
• Shape the long-term technical foundation while balancing immediate delivery needs
• Working knowledge of agentic and AI-enabled engineering – LLM-enabled applications, MCP/A2A, LangGraph or comparable orchestration, AI-assisted developer tools (e.g., Cursor), Agent Driven Development and Harnesses, retrieval/context patterns, evaluation, and responsible AI controls
• Software engineering experience (typically 8+ years, with more depth expected at the senior and principal levels), including significant time in architecture roles designing and guiding complex cloud, data, integration, and application solutions from discovery through production operation
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent experience
• Continuously identify opportunities to convert custom implementations into reusable platform capabilities
• Experience defining architecture standards, rules, or evaluation rubrics for AI- or agent-assisted development workflows
• Deep, hands-on experience with cloud platforms (AWS and/or Azure), including containers and container orchestration (Kubernetes/K8s, Amazon EKS, Azure AKS, Google GKE, OpenShift, or comparable), Git-based CI/CD, Infrastructure as Code, observability, and secure production operations
• Healthcare data experience (a big plus): familiarity with healthcare payer, provider, clinical, and claims data, and with FHIR or other healthcare data exchange standards. It’s the area where you’ll ramp fastest here, and we’ll make sure you get up to speed on the rest
• Transformation experience: you’ve been part of a digital transformation or cloud modernization effort – for example, moving legacy systems to cloud-native architectures or breaking apart monoliths – and can bring those lessons with you
• Terraform for infrastructure as code
• Front-end experience: React/TypeScript and design-system or UX standards work
• Familiarity with HITRUST, GovRamp, or comparable compliance and control frameworks, and the ability to design for privacy, least privilege, auditability, and secure SDLC