
1001 - 5000 employees
âïž Healthcare Insurance
đ„ Healthcare
âïž SaaS
Healthcare Insurance âą Healthcare âą SaaS
Evolent is a healthcare company focused on improving care outcomes through its comprehensive management solutions across multiple medical specialties. They aim to enhance the patient care journey by offering coordinated services in areas like oncology, cardiology, musculoskeletal disorders, and primary care, while ensuring high-quality treatment pathways and cost management. Evolent believes every person deserves quality care, striving to align treatment guidelines and innovative approaches to meet patient needs effectively.
đ„ 13 hours ago
đșđž United States â Remote
đ” $175k - $185k / year
â° Full Time
đ Senior
đ§âđ» Full-stack Engineer
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đ» Ghost score 0%
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1001 - 5000 employees
âïž Healthcare Insurance
đ„ Healthcare
âïž SaaS
Healthcare Insurance âą Healthcare âą SaaS
Evolent is a healthcare company focused on improving care outcomes through its comprehensive management solutions across multiple medical specialties. They aim to enhance the patient care journey by offering coordinated services in areas like oncology, cardiology, musculoskeletal disorders, and primary care, while ensuring high-quality treatment pathways and cost management. Evolent believes every person deserves quality care, striving to align treatment guidelines and innovative approaches to meet patient needs effectively.
âą Lead engineering teams delivering document pipeline, event-driven architecture, and agentic user interface capabilities from build through production support âą Sequence platform roadmaps with architecture and product partners âą Implement platform contracts and standards agreed with Enterprise Architecture âą Drive capabilities from first production consumer to broader enterprise adoption âą Partner with infrastructure and security teams on cloud, messaging, and hosting foundations âą Establish and scale engineering teams, defining team topology, role mix, and skill profiles âą Recruit, hire, onboard, mentor, and develop engineers and engineering managers âą Build an engineering culture focused on innovation, collaboration, accountability, continuous improvement, domain expertise, and quality âą Shape platform roadmap and long-term strategy with executive leadership, architecture, product management, and stakeholders âą Apply enterprise standards for software development, architecture, and quality assurance âą Oversee scalable, high-quality software delivery with observability, cost telemetry, and operational readiness âą Support integration seams, migration paths, and fallback handling for existing systems âą Represent engineering in executive and business discussions regarding progress, risks, and opportunities âą Lead use of AI-assisted engineering tools for development, testing, documentation, troubleshooting, and analysis âą Validate AI-generated outputs for correctness, security, maintainability, compliance, and business appropriateness âą Improve productivity and solution quality through AI-enabled workflows and automation âą Develop reusable prompts, workflow templates, playbooks, and AI-assisted development patterns âą Deliver systems using AI services, APIs, agents, and automation where appropriate âą Enforce AI usage, intellectual property, security, privacy, PHI handling, and Responsible AI policies âą Establish peer review, validation, audit visibility, and traceability for AI-assisted solutions
âą Bachelor's degree in computer science, software engineering, or equivalent experience âą 12+ years of software engineering experience âą At least 7+ years in leadership roles managing large, distributed teams âą Proven delivery of complex, enterprise-scale software projects on time and within budget âą Experience launching at least one initiative from inception âą Experience building engineering teams for new initiatives, including organization definition, rapid hiring, and delivery during team formation âą High technical acumen and ability to influence technical strategy âą Expertise in software architecture, API development, system integration, cloud services, and DevOps practices âą Experience with AI-assisted development platforms such as GitHub Copilot, Cursor, or similar tools âą Familiarity with prompt engineering, AI-assisted testing, and AI-enabled software delivery âą Experience establishing engineering operating models and agile methodologies âą Exceptional leadership and team-building skills âą Strong business acumen âą Outstanding communication, collaboration, and stakeholder management skills âą Ability to work from home with high-speed internet over 10 Mbps âą Must complete identity verification, comprehensive background check, in-person I-9 verification, and potentially drug screening âą Preferred: Healthcare domain knowledge, FHIR, HL7v2, CDA, Domain Driven Design, identity/access control/observability patterns, production AI integrations, Azure, event-driven architectures, document processing pipelines, and operational workflow user interfaces
âą Work/life balance âą Flexible work arrangements âą Autonomy in getting things done âą Health insurance benefits for qualifying employees âą Equal opportunity employment âą Reasonable accommodation support âą High-speed home internet requirement for employees
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