Lead Platform Engineer (AI)

Location: Remote Nationwide with a hybrid work arrangement required for candidates living in, or willing to relocate to, a commutable distance from Washington, D.C.; Louisville, KY; Denver, CO; Dallas, TX; or Fort Lauderdale, FL. Boston, MA is preferred. Occasional travel to hirify.global offices may be required.

Salary: $129,300–$177,800 per year, plus eligibility for a bonus incentive plan.

Company

hirify.global is a U.S. healthcare and insurance company serving Medicare, Medicaid, families, individuals, and communities.

What you will do

• Own delivery, reliability, scalability, and operational readiness for the Next Best Action platform scale and reliability pod.
• Design and implement authoritative state machines and transactional outbox services for dependable, auditable real-time recommendations.
• Build automated unit, integration, end-to-end, regression, load, and performance testing frameworks.
• Develop observability capabilities covering structured logging, metrics, distributed tracing, alerting, and monitoring.
• Improve fault tolerance, recovery, performance, throughput, cost efficiency, and production readiness across distributed services.
• Lead and mentor engineers and contractors while collaborating with decisioning, orchestration, activation, platform, and data teams.

Requirements

• Bachelor’s degree in computer science or a related field.
• 8+ years of full-stack software engineering experience, including 1–2 years leading platform reliability, quality engineering, SRE, or production operations initiatives.
• Production development experience with Java, Python, Node.js, or TypeScript.
• Experience with automated testing, observability, distributed-system reliability patterns, and cloud-native applications on Kubernetes.
• Ability to lead a small engineering pod, manage contractors, conduct code reviews, and remain an active individual contributor.
• Experience using AI-assisted development tools such as Claude or GitHub Copilot.

Nice to have

• Experience with Kafka, event-driven architectures, SRE practices, SLOs, SLIs, and incident management.
• Experience with performance testing, chaos engineering, fault injection, Azure DevOps pipelines, CI/CD, and quality gates.
• Background in healthcare, insurance, or another regulated industry.
• Familiarity with workflow orchestration, decisioning services, and activation platforms.

Culture & Benefits

• Full-time schedule of 40 hours per week during typical Monday–Friday business hours, with some flexibility based on business needs.
• Medical, dental, and vision coverage, 401(k), paid time off, holidays, parental and caregiver leave, disability coverage, and life insurance.
• Home or hybrid work requires a dedicated workspace protecting member PHI and HIPAA information.
• Home internet must provide at least 25 Mbps download and 10 Mbps upload speeds.
• Work includes minimal travel for training, meetings, or conferences.

Hiring process

• Selected applicants complete a 10–15 minute on-demand HireVue assessment.
• Candidates who pass the assessment proceed to subsequent interview rounds.
• After a formal offer, SSN entry in Workday is required to check for duplicate profiles.