Enterprise Customer Success Manager, Brazil (Remote)
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Gravie develops health benefits and insurance solutions for small and midsize employers, brokers, and their employees. Its offerings include Comfort, a level-funded health plan; Gravie ICHRA administration; Gravie Pay for healthcare cost support; and Gravie Care. The company’s platform is designed to make individualized coverage more accessible while simplifying the administration of employee benefits.
Staff Platform Engineer - Gravie Remote
Lead platform architecture and AWS foundations while building production AI systems for Gravie’s healthcare benefits platform. Shape distributed systems, developer pathways, and regulated decision-support capabilities.
Description
- Create golden paths and paved roads through reference implementations, shared libraries, service templates, scaffolding, and pipeline templates
- Track adoption of paved paths and time to first success, then improve the areas teams avoid
- Deliver the first production workload in partnership with an operating team
- Develop distributed-systems patterns spanning backend services, event-driven workers, job pipelines, APIs, and relational data models
- Collaborate with Platform Engineering to build, roadmap, and transition shared infrastructure
- Lead the migration and adoption of existing services onto new paths while retiring superseded systems
- Take part in cross-team code reviews and production incident response
- Define and maintain target-state architecture with accountable owners and decision dates
- Own AWS foundations for platform and AI workloads, including accounts, identity, networks, isolation, runtimes, managed data services, tagging, and cost governance
- Increase standards adoption through tooling and delivery pipelines
- Guide buy, build, and reuse decisions for models, frameworks, and vendors
- Unify overlapping tools and standards and manage their retirement plans
- Create production-grade AI agent systems, multi-agent workflows, orchestration layers, and supporting services
- Design retrieval, context, and memory systems with sensitive-data scoping, redaction, and auditability
- Develop AI decision-support systems that satisfy healthcare and regulated-environment expectations for accuracy, traceability, and explainability
- Build React and TypeScript user experiences for AI capabilities
- Define AI quality-assurance practices covering automated evaluations, regression testing, groundedness checks, and compliance safeguards
- Create a consistent operating model for building, running, evaluating, and managing AI systems
- Connect teams, expose duplicated work, assign unowned decisions, and coordinate cross-team efforts
- Communicate through clear writing, demonstrations, and working sessions
- Support roadmap development and capacity planning
- Coordinate collaboration across Engineering, Product, Data, Security, and Infrastructure
- Explain technical direction to leadership and bring business context back to engineering
- Work with Product to turn ambiguous business needs into architecture
- Elevate engineering standards through design reviews, mentorship, and decision records
- Collaborate with Security, Compliance, and Data on AI governance, access controls, and data handling
Requirements
- At least eight years of software engineering experience, with architectural ownership, organization-wide scope, and responsibility for complex systems from design through production
- Current hands-on experience writing code and conducting code reviews
- Experience creating internal platform capabilities that other teams adopt voluntarily
- Production experience with AI applications, including evaluation, monitoring, failure handling, guardrails, latency, and cost management
- Advanced AWS expertise across multi-account organizations, identity and permission boundaries, networking, compute and serverless runtimes, managed data and model services, and cost and tagging governance
- Infrastructure-as-code experience with Terraform, CDK, or both
- A record of establishing architectural foundations and standards and driving their adoption
- Hands-on experience developing agentic software with AI coding agents
- Deep expertise in Python or JVM backend and distributed systems, or in React and TypeScript product engineering
- Ability to contribute across the full technology stack
- Experience with retrieval, embeddings, context, memory, evaluation, monitoring, or AI agent architectures and workflows
- Sound judgment around testing, monitoring, failure handling, privacy, security, access control, and data governance in regulated or audited environments
- Experience partnering with platform or infrastructure teams to deliver organization-wide change
- Experience acting as a central technical resource across multiple teams without becoming an approval bottleneck
- Ability to align teams with differing views and contribute to roadmap and capacity planning
- Clear written communication and effective collaboration with technical and non-technical stakeholders
- United States work authorization is required; the application asks about visa sponsorship
- Preferred: experience in healthcare, health insurance, or benefits administration, including ICHRA, claims, eligibility and enrollment, EDI, or FHIR
- Preferred: experience at a venture-backed, high-growth company
- Preferred: experience with internal developer platforms or developer experience
- Preferred: GitLab CI experience at scale
- Preferred: production observability and LLM observability experience, including Datadog
- Preferred: event-driven or streaming architecture experience, such as Kafka or Flink
- Preferred: familiarity with agent tooling and standards such as Claude Code, MCP, and agent SDKs
- Preferred: AI governance or technology radar experience with security or compliance partners
Benefits
- Coverage for alternative medicine
- Flexible paid time off
- Up to 16 weeks of paid parental leave
- Paid holidays
- 401(k) program
- Transportation perks
- Education reimbursement
- Two paid days of paw-ternity leave
- Standard health and wellness benefits
- Equity offering
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