ShiftKey

Platform Engineer

• Lead and grow a distributed platform and infrastructure organization, staying hands-on with the team when issues arise.
• Drive infrastructure modernization and cloud migration initiatives, including moving services to managed cloud offerings.
• Own reliability, deployment, and disaster recovery practices across the organization's core environments.
• Set engineering standards for infrastructure automation, CI/CD, and operational resilience.
• Partner with engineering and senior leadership to translate platform strategy into practical roadmaps.

Director – Platform & Infrastructure

Credentialing Specialist

• Manage and process a high volume of credential verifications - around 2,500 per month once fully ramped - while maintaining a minimum 90% accuracy rate.
• Carefully review applications, primary source verifications, licenses, and certifications to ensure all data meets internal and regulatory standards.
• Organize your daily workflow independently to balance speed and precision, avoiding bottlenecks in onboarding and re-credentialing cycles.
• Independently manage your own credentialing queue while collaborating with the broader team to share best practices.
• Validate credentials and licenses to ensure compliance with local, state, and federal regulations.
• Partner with Credentialing Leads to process background checks and other verification tasks.
• Maintain accurate documentation for all credentialing activities.
• Report potential roadblocks, barriers, or other issues to leadership proactively.
• Support special projects and initiatives within the credentialing team.
• Perform other duties as assigned by leadership.

Infrastructure Engineer

• Evolving the AI knowledge platform - taking the retrieval, indexing, and synthesis layer (currently semantic RAG + re-ranking + HyDE) to an organization-wide platform serving both internal engineering tools and customer-facing capabilities.
• Architecting and operating agentic infrastructure on AWS - multi-step, tool-using AI systems that plan, retrieve, and act on complex queries and operational events, with cost guardrails and observability built in from day one.
• Designing and building graph-based, relationship-aware retrieval across the organization's data sources, enabling multi-hop queries and letting agents accumulate organizational knowledge over time. This is on our roadmap, not in production - you will define the approach.
• Partnering with product engineering to define the AI platform API surface, translating infrastructure primitives into developer-ready abstractions.
• Building reference agent implementations on the platform - operational-incident triage, customer support, and future agentic use cases - grounding each agent's reasoning in institutional knowledge.
• Owning the AI infrastructure cost model: monitoring compute, model, and storage spend, flagging anomalies, and proposing guardrails to keep workloads within defined budgets.

Staff AI Engineer – AI Infrastructure, Agentic Platform

Data Specialist

• Review licenses and verify that each healthcare professional’s documentation is complete.
• Confirm that all required vaccinations are completed during the onboarding and credentialing process.
• Conduct a thorough review and validation of all documents and credentials required for onboarding.

Data Verification Specialist

Backend Engineer

• Lead backend development on our core scheduling platform modernization - setting Python best practices, guiding architecture decisions, and owning the quality of Python-driven services as the system evolves.
• Contribute across a multi-product ecosystem (Engage, Auth, Messaging, Time) that spans Python and .NET - this role is built for engineers who thrive across stacks, not single-use specialists.
• Write APIs, own services review code, and ship - the full range of what senior engineering looks like in practice.
• Help drive the team’s evolution toward an AI-accelerate SDLC, using tools like Claude Code to orchestrate agents that write, debug, and test software - this is an active part of how we work, not a future ambition.

Senior Software Engineer, Python/.NET

Senior Python Engineer - .NET

QA Engineer

• Audit a sample of the credential reviews done by our Operations team and outside vendors, checking that each professional's credentials were validated correctly and entered accurately.
• Write weekly reports that surface recurring errors and trends - both by credential type and by individual reviewer.
• Help managers and team leads make sense of their team's performance and guide better coaching conversations.
• Give regional Credentialing Leads tailored insights and recommend improvements to processes and training materials.
• Pitch in on training new hires, plus the occasional special project or time-sensitive audit request.

ShiftKey

Director – Platform & Infrastructure

Credentialing Specialist

Staff AI Engineer – AI Infrastructure, Agentic Platform

Staff AI Engineer – AI Infrastructure, Agentic Platform

Data Verification Specialist

Senior Software Engineer, Python/.NET

Senior Python Engineer - .NET

Quality Assurance Specialist – Credentialing

Credentialing Auditor