Abacus Insights

Software Architect

Abacus Insights
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2 months ago
USA (city not specified)Mid Level / Senior / Staff+
H1B sponsor

Responsibilities

  • Own or contribute to reference architectures for the core healthcare data platform, including ingestion, transformation, distribution, serving, applications, and services.
  • Define architecture standards for scalability, high availability, disaster recovery, serverless patterns, multi-tenant SaaS, secure operations, and cloud environments.
  • Design data application architectures across payer, membership, provider, clinical, laboratory, and pharmacy domains using healthcare interoperability patterns where relevant.
  • Establish reusable application blueprints, data contracts, lineage, metadata, quality controls, integration patterns, identity and authorization capabilities, and front-end standards.
  • Translate architecture standards into skills, rules, templates, evaluation rubrics, and review mechanisms for agent-assisted development workflows.
  • Partner with AI Engineering on semantic and context layers, agent interfaces, retrieval patterns, AI gateways, evaluation, traceability, and governed model access.
  • Define production-readiness requirements covering deployment topology, support models, rollback strategies, telemetry, observability, infrastructure as code, and operational metrics.
  • Participate in architecture and data guilds, design reviews, pairing, pilots, hackathons, mentoring, and organization-wide knowledge sharing.
  • Create architecture decision records, non-functional requirements, operational-readiness checklists, and adoption measurements for platform standards.

Requirements

  • Typically 8+ years of software engineering experience, including significant experience designing and guiding complex cloud, data, integration, and application solutions through production operations.
  • Full-stack engineering background with hands-on experience across services, APIs, data, and cloud infrastructure.
  • Proven ability to establish architecture standards, guardrails, reusable platform capabilities, and adoption across teams through influence and collaboration.
  • Deep hands-on experience with AWS and/or Azure, containers and orchestration, Git-based CI/CD, infrastructure as code, observability, and secure production operations.
  • Experience with modern data platforms and distributed data processing such as Databricks and Spark or Snowflake.
  • Experience with modern application and service architectures, API-first services, Python, identity and authorization, and multi-tenant SaaS patterns.
  • Working knowledge of agentic and AI-enabled engineering, LLM-enabled applications, MCP, A2A, LangGraph or comparable orchestration, AI-assisted developer tools, retrieval and context patterns, evaluation, and responsible AI controls.
  • Experience building or maintaining reference architectures or developer platforms used by multiple teams.
  • Experience defining architecture standards, rules, or evaluation rubrics for AI- or agent-assisted development workflows.
  • Strong communication skills for aligning technical and business stakeholders and producing architecture artifacts for technical and non-technical audiences.
  • Bachelor’s or master’s degree in Computer Science, Engineering, or a related field, or equivalent experience.
  • Preferred qualifications include healthcare data and FHIR experience, digital transformation or cloud modernization experience, Terraform, React/TypeScript, design-system or UX standards work, and familiarity with HITRUST, GovRamp, privacy, least privilege, auditability, and secure SDLC.

Benefits

  • Unlimited paid time off.
  • Work from anywhere with location flexibility.
  • Comprehensive health coverage with multiple plan options.
  • Equity for every employee.
  • Growth-focused environment supporting employee development.

Tech Stack

Abacus Insights

About Abacus Insights

201-500 employees

Abacus Insights builds a cloud-based, AI-ready data platform for health plans that ingests, standardizes, and governs payer and clinical data to power analytics and workflows. Sold as SaaS with pre-built connectors, it supports CMS interoperability, risk adjustment, HEDIS/Stars quality improvement, and payment integrity. Founded in 2017 and headquartered in Boston, the privately held company reports 35 payer customers covering 65 million members.

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