Head of Platform Engineering Underwriting
Job Summary
Its fun to work in a company where people truly BELIEVE in what they are doing!
Were committed to bringing passion and customer focus to the business.
Head of Platform Engineering / Principal Architect
Company Overview:
Fractal Analytics is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices freedom and diversity are the greatest assets. An ecosystem where human imagination is at the heart of every decision.
Fractal is focusing on selling world-class suite of vertical and functional AI products that solve high value enterprise problems under the brand Cogentiq.
About Cogentiq UnderWriting Platform:
Role Description:
You will own the end-to-end architecture reliability and integration strategy forCogentiq-UWa cloud-native multi-tenant underwriting platform that provides centralized visibility governance and configuration across modules and agents.Youllarchitect high-performance backend systems design a robust integration layer with insurers core systems andthird-partydata providers and partner with Data Science to productionize agents safely andexplainable.
This is a hands-on leadership role:youlldefine the platform blueprint (APIs workflows state machines) set reliability and security bars (SLOs DR SOC2 readiness GDPR) build out observability & FinOps champion demo/sandbox environments and represent engineering in pre-sales and conferences.Youllalso hire and grow ahighcaliberteam that balances quality with execution speed.
You will:
Architect the platforms multi-tenant API-first event-driven design including HIL (Human-in-the-Loop) workbenches exception handling state-machines and audit trails.
Lead cloud deployment (multi-region auto-scaling active-active/DR) achieve 99.9% SLOs and design forlow-latencyreal-time APIs with graceful degradation.
Own the integration layerout-of-the-box connectors for Guidewire/Duck Creek SSO (OAuth2/OIDC/SAML) third-party data (credit bureaus CAT/exposure models loss databases) and internal tools.
Establish security & compliance (E2E encryption least privilege key rotation vuln scanning SOC 2 readiness GDPR-aligned data privacy with zero PII retention in analytics stores).
Partner with Data Science to deploy agentic/LLM features with guardrails evaluation harnesses explainability and versioned rollout.
Build observability (tracing/metrics/logs) alerting based on SLOs FinOps dashboards (cost monitoring/optimization) usage & billing/chargeback metering and ROI reporting.
Stand up demo & sandbox environments (pre-loaded data module/agent config testing) to accelerate sales and implementation.
Lead presales conversations with IT/Tech leaders handle RFPs deliver conference talks and act as a credible technical face of the platform.
Hire mentor and evolve the team; define paved roads (CI/CD/IaC) coding standards and operational excellence (runbooks incident reviews upgrade pathways).
Technical Mastery:
Platform & Systems Architecture (SaaS/B2B)
Multi-tenantAPI-first event-driven design withstate machinesfor underwriting workflows; strong versioning backward compatibility and feature-flagged rollouts.
RobustHILandexception handlingwith auditability and idempotent reprocessing.
Cloud Reliability & Performance (SRE Discipline)
Kubernetes IaC(Terraform/Helm)multi-regiontopologiesRTO/RPOdefined and tested autoscaling caching backpressure circuit breakers andp95 latencyownership.
Enterprise Integrations (Data Providers)
REST/OAS3 webhooks OAuth2/OIDC/SAML API gateways; resilient connectors toGuidewire/Duck Creek credit/score providers CAT/exposure models loss databases;retries/DLQs/idempotencyanddynamic endpoint switching.
Security Compliance & Data Governance (BFSI-grade)
E2E encryption KMS/Vault least privilege key rotation vulnerabilityscanning/pen tests;SOC 2 Type II readiness GDPR controls and anoPII analyticsarchitecture with anonymization pipelines and strict access controls.
Agents/AIProductionization& Data Collaboration
Deployingagentic/LLMcomponents with guardrails sandboxed tool-use timeouts evaluation frameworks drift monitoring and explainability surfaced in theHILinterface; tight collaboration with Data Science across batch/stream features model registries and safe rollouts.
Qualifications:
Must-Haves
1215 yearsin backend/platform engineering with5 yearsleading platform or core backend teams forB2B/SaaSproducts.
Proven ownership ofcloud-native multi-tenantplatforms with99.9% SLOsmulti-regiondeploymentsDR drills and incident management (runbooks postmortems).
DeepexpertiseinKubernetesIaC(Terraform/Helm) API gateways queues/streams; strong command oflow-latencyAPI design caching and throughput optimization.
Hands-onenterprise integrationsexperience with insurer core systems (preferablyGuidewire/Duck Creek) SSO (OAuth2/OIDC/SAML) andthirdpartydata sources.
Strongsecurity & compliancegrounding: encryption at rest/in transit secretsmgmt key rotation SOC 2 readiness GDPR-aligned data privacy audit trails.
Demonstrated delivery ofagentic/LLM or ML-powered featuresin production with measurable reliability and quality (evals guardrails rollbacks).
Effectivecustomer-facingcommunicatorconfident with CIO/CTO/CISO stakeholders experienced inpresales RFPs and conference presentations.
Track recordbuilding high-performing teams and cultures balancingquality with speed(paved roads CI/CD trunk-based dev strong code review standards).
Nice-to-Haves
Direct accelerators or integration frameworks forGuidewire/Duck Creek; BPM/workflow engines (Temporal/Cadence Camunda).
FinOps practice leadership: cost allocationshowback/chargebackoptimizationplaybooks.
Experience designingusage/billing metering ROI dashboards andadmin/observabilityportals.
Prior conference talks publications or community contributions
Location Preference: Bengaluru
#LI-RT1
If you like wild growth and working with happy enthusiastic over-achievers youll enjoy your career with us!
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Required Experience:
Director
About Company
Fractal Analytics helps global Fortune 100 companies power every human decision in the enterprise by bringing analytics and AI to the decision.