We're looking for an Engineering Manager to lead a team responsible for onboarding new customers onto our healthcare payer platform and keeping existing customers running at a high standard of quality, reliability, and satisfaction. You'll work with existing teams and partner closely with a modernization team as the platform integrates into a larger ecosystem. This is a delivery-and-quality role. The work is customer-facing in consequence: onboarding timelines, data correctness, production stability, and responsiveness to customer–reported issues are what success looks like. You'll be operating on an established platform with established patterns, and your job is to execute against them reliably while raising the bar on engineering quality. This is a hands-on management role. You will not be expected to write production code day to day, but you are expected to stay close enough to the system to review critical designs and code, spot problems in a PR yourself, and unblock your team on hard technical decisions rather than deferring all technical judgment to senior engineers. What You'll Own Customer onboarding delivery • Own end-to-end engineering delivery for new customer implementations – sequencing, staffing, dependencies, and commitments • Surface delivery risks early, and make scope and quality tradeoffs explicit • Partner with Product, Implementation, and Customer Success as the engineering point of contact for onboarding commitments Running the existing platform • Own production health for your team's surface area: incident response, root cause analysis, and durable fixes over one-off patches • Drive down recurring defect and escalation volume; build mechanisms that prevent recurrence • Improve observability, alerting, and operational readiness for the systems your team owns • Balance customer-driven work against the technical investment needed to keep the platform maintainable Ecosystem integration and cloud execution • Deliver your team's portion of platform integration work as the product joins a larger ecosystem • Execute your team's scope of the Azure-to-AWS migration, following established architecture patterns and processes set by Architecture and DevOps • Maintain availability and customer experience through migration and integration changes Engineering quality • Set and hold a high standard for code review, testing, CI/CD discipline, automated testing, and release practices • Ensure appropriate handling of sensitive customer and healthcare data, including access controls and auditability • Keep technical debt visible and negotiate paying it down against delivery pressure AI-assisted engineering • Establish practical AI-assisted development process on your team – coding, testing, review, debugging, and documentation • Steer usage through guardrails: repo-level agent instructions, prompt and context practices, and CI checks for common AI-generated defects • Coach engineers on effective application of AI • Evaluate what's actually working and adjust; make the practices durable so they don't depend on you personally driving them People leadership • Hire, onboard, and retain strong engineers • Give direct, timely feedback; address underperformance • Delegate meaningful ownership and grow engineers into larger scope • Build a team environment with real accountability and healthy disagreement Required Qualifications • 8+ years of software engineering experience • 3+ years managing engineering teams, with direct ownership of delivery, hiring, performance, and development • Demonstrated technical credibility: able to independently review designs and code, reason about API and data boundaries, evaluate migration and reliability tradeoffs, and challenge engineers on technical decisions • Track record of predictable delivery against external commitments and deadlines • Experience operating a production system with real customers – incident response, quality management, and customer–impacting escalations • Hands-on familiarity with AI-assisted development tooling and a point of view on how to use it well within a team Preferred Qualifications • Working experience across both AWS and Azure, including multi-cloud or cross-cloud migration work • Experience delivering enterprise B2B SaaS with implementation or onboarding cycles • Experience working in an environment with regulated or sensitive data ***The US base salary range for this full-time position is: $150,289.00 - $225,434.00 The specific salary offered to a candidate may be influenced by a variety of factors including but not limited to the candidate’s relevant experience, education, and work location. Please note that the compensation details listed in US role postings reflect the base salary only, and does not reflect the value of the total rewards compensation. ***