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Gravie
Gravie
201 – 500 Darbinieki
ApdrošināšanaB2BVeselības aprūpe
Gravie izstrādā veselības pabalstu un apdrošināšanas risinājumus maziem un vidējiem darba devējiem, apdrošināšanas brokeriem un viņu darbiniekiem. Uzņēmuma piedāvājumā ietilpst Comfort — veselības plāns ar noteiktu finansējumu, Gravie ICHRA administrēšana, Gravie Pay veselības aprūpes izmaksu atbalstam un Gravie Care. Uzņēmuma platforma ir izstrādāta, lai padarītu individualizētu apdrošināšanas segumu pieejamāku, vienlaikus vienkāršojot darbinieku pabalstu administrēšanu.
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Vakances uzņēmumā

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.

USAmerikas Savienotās Valstis
193 875 $ – 258 500 $ / gads
AttālinātiPilna slodzeVadošais speciālistsNepieciešamā Valoda: angļuPlatformas inženieris
AWSKafkaPythonReactSadalītās sistēmasTerraformTypeScript

Apraksts

  • 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  • Lead the migration and adoption of existing services onto new paths while retiring superseded systems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

Prasības

  • 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

Priekšrocības

  • 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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