Lead Software Engineer

hace 6 días


Municipio de Rincón de los Sauces, Argentina MUBA A tiempo completo

Lead Software Engineer - Pre-Seed Company 3 days ago Be among the first 25 applicants Lead Software Engineer — MUBA (Pre-Seed · Health Insurtech) Location: Buenos Aires (CABA) hybrid / LATAM-remote friendly Type: Full-time (early-stage) — competitive cash compensation (negotiable) + success fee / performance bonuses tied to milestones Start: Immediate About MUBA MUBA is building an evidence-first fraud & transparency platform for health insurers in LATAM: point-of-service identity & presence proofing, temporal-graph + causal analytics on claims, and auditor-grade evidence packs that turn pilots into measurable savings. We’re a small founding team (product, data, delivery) with pilot momentum. As Lead Software Engineer you’ll be the technical heart of the company — shipping product, owning the platform and mentoring the first engineers. Why this role matters At pre‑seed stage you will convert prototypes into production‑grade systems that auditors and payers trust. You’ll shape architecture, reliability, security and engineering culture — and directly affect product adoption, revenue from pilots and investor traction. What you’ll own Architect, build and operate the core platform (API, data ingestion, pipelines, storage, authentication, audit trail). Productionize ML/Data prototypes (temporal graph analytics, causal scoring) together with data scientists. Implement secure IDV integration flows (SDKs/APIs), signed audit events and evidence packaging. Lead devops: CI/CD, infra‑as‑code, container strategy, monitoring, backups, recovery. Set security & compliance baseline (encryption, RBAC, logging, SOC2/HIPAA/GDPR/LGPD readiness practices). Design APIs and integration patterns for payer systems (SFTP, HL7/FHIR connectors, CSV/API ingest). Own engineering delivery: plan sprints, write PRDs with Product, estimate effort and ship. Hire, onboard and mentor the first engineers/contractors. Be hands‑on: you will code, review and deploy day‑to‑day. Must-have 5+ years backend engineering experience; at least 2+ years leading/mentoring engineers or technical teams. Strong production backend skills in Python (or similar) and proven experience building APIs (FastAPI/Flask/Node). Solid experience with data pipelines & ETL (batch + streaming), familiarity with Kafka or equivalent. Experience deploying and operating services on cloud (AWS/GCP) using containers (Docker) and orchestration (K8s or managed alternatives). Experience with relational DBs (Postgres), data warehouses (BigQuery / Snowflake) or graph DBs (Neo4j/TigerGraph) — or demonstrated ability to pick them up fast. Practical knowledge of deploying ML models to production (model serving, monitoring, MLflow or similar). Security & privacy mindset: logging/audit trails, encryption, RBAC, GDPR/LGPD/HIPAA awareness. Excellent problem solving, ownership and ability to translate product needs into robust technical design. Fluent English; Spanish native or advanced preferred. Nice-to-have Prior experience in healthcare, insurance, payments, or other regulated industries. Familiarity with FHIR/HL7 and healthcare integration patterns. Experience with graph ML, PyTorch or DGL/PyG. Experience negotiating integrations with external vendors (IDV, auditors). Observability / SRE experience (Prometheus/Grafana, ELK). Startup experience (early stage, shipped from zero to production). Compensation (updated) Base salary: competitive and negotiable depending on experience and market. Success fee / performance bonus: structure agreed at hiring, paid on delivery of clear milestones (examples: production Go‑Live of core module; successful pilot converted to paid contract; uptime/security benchmark achieved). Exact milestones and amounts will be defined in the offer and contract. Other: standard benefits as applicable; flexible/hybrid work arrangements. Important: this role does not include equity . Compensation package focuses on immediate cash + milestone-aligned incentives. Responsibilities (day‑to‑day) ~60% coding & architecture (core platform, ingestion, integrations). ~20% cross‑team work with Product & Data (productionizing models & audit packs). ~10% DevOps / Security ops and automation. ~10% hiring, mentoring, documentation and process building. What we offer High ownership role with real impact on product, pilots and fundraising narrative. Competitive pay + clear, significant success fees tied to measurable outcomes. Flexible work model; small, experienced founding team; rapid decision cycles. Opportunity to define engineering standards and hire direct reports. Work on an important mission: reduce waste & fraud in health financing across LATAM. #J-18808-Ljbffr


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