• Diseñar y mantener aplicaciones web escalables integrando componentes de frontend y backend con altos estándares de calidad. • Desarrollar interfaces de usuario modernas, responsivas y altamente eficientes utilizando React y TypeScript. • Optimizar consultas SQL complejas para asegurar un acceso rápido y seguro a bases de datos relacionales. • Implementar y gestionar servicios RESTful para garantizar una comunicación fluida entre sistemas y microservicios. • Colaborar con equipos multidisciplinarios en la definición y lanzamiento de nuevas funcionalidades bajo metodologías ágiles. • Diagnosticar y resolver incidencias técnicas en software existente, priorizando la estabilidad y el rendimiento. • Investigar y aplicar nuevas tecnologías para fomentar la mejora continua en el ciclo de vida del desarrollo.

• Support the design and development of modern, cloud‑native healthcare and public sector products • Contribute as a senior individual contributor position blending hands‑on engineering with technical advisory leadership • Modernize and scale platforms used in healthcare delivery, public health, and government services • Design, develop, and maintain scalable Java‑based product platforms • Build and evolve cloud‑native applications using modern frameworks and engineering best practices • Translate policy, regulatory, and program requirements into secure, production‑ready software • Develop reusable services, shared components, and platform capabilities to support multiple programs • Design and deploy solutions on AWS, leveraging secure, compliant, and cost‑effective cloud services • Apply microservices, API‑first, and event‑driven architectures • Ensure systems meet requirements for availability, resiliency, performance, and disaster recovery • Support modernization initiatives moving legacy platforms toward cloud‑native architectures • Design and improve CI/CD pipelines • Apply DevOps practices to improve release reliability • Partner with platform, SRE, and security teams for monitoring and operational readiness • Support Infrastructure as Code (IaC) • Utilize AI‑assisted engineering tools to improve development efficiency, code quality, and test coverage • Implement automation to streamline software delivery, testing, and operational workflows • Serve as a technical advisor to product, architecture, and delivery teams • Conduct design and code reviews, mentor engineers, and promote engineering standards

• Build and maintain production-grade backend services using Java and Spring Boot within a microservices architecture. • Execute complex migration patterns to transition services from legacy systems to modern cloud-native platforms. • Manage high-volume data flows using Kafka and ensure seamless synchronization between relational (MySQL/PostgreSQL) and NoSQL databases. • Participate in architectural discussions and code reviews, contributing to the roadmap for AI-driven workflows and LLM-based service patterns. • Partner with international product and engineering squads to translate business requirements into technical solutions that impact millions of users.

Role Description We are building a multi-tenant, hardware-agnostic IoT platform from the ground up. We need a senior engineer who can design the system architecture in the morning and write production backend code in the afternoon. This is not an architecture-only role and not a coding-only role — it is both, simultaneously, in a fast-moving early-stage environment. You will also own cloud infrastructure as interim DevOps until we scale. Qualifications - 7–12 years software or systems engineering; minimum 4 years specifically building IoT platform backends or connected product infrastructure - Expert-level, hands-on experience with AWS IoT Core or Azure IoT Hub — production deployments, not tutorials ⚑ NON-NEGOTIABLE - Expert MQTT knowledge: v3.1 and v5.0, topic hierarchy design, QoS levels, retained messages, Last Will & Testament, broker sizing and clustering ⚑ NON-NEGOTIABLE - Proficiency in Python and Node.js/TypeScript for production backend services — Go is a strong advantage - Hands-on experience with a time-series database: InfluxDB, TimescaleDB, or AWS Timestream - Terraform or AWS CloudFormation — you provision cloud infrastructure programmatically, not through the console - Multi-tenant SaaS backend architecture: data isolation patterns, tenant-scoped access control, shared infrastructure design - Security fundamentals applied in practice: TLS/mTLS, X.509 certificates, OAuth 2.0, JWT, secrets management (Vault or AWS Secrets Manager) - Message broker or streaming experience: Kafka, RabbitMQ, AWS Kinesis, or AWS IoT Rules Engine - Proven ability to work autonomously at a senior level — makes decisions, documents rationale, flags risks without needing to be prompted ⚑ REMOTE DISCIPLINE Requirements - Design the full end-to-end IoT platform architecture: device connectivity layer → MQTT/protocol ingestion → stream processing → time-series storage → REST/GraphQL API layer → real-time WebSocket delivery - Define the multi-tenant data model: strict data isolation between customers, tenant-scoped API tokens, row-level security - Design the device lifecycle system: provisioning, X.509/JWT authentication, device registry, status tracking, decommissioning - Architect the protocol abstraction layer so MQTT, Modbus, OPC-UA, CoAP, and HTTP devices all normalise to the same internal data model - Design a configurable rule engine: event-condition-action rules for alerts, automations, and integrations — no code required from customers - Plan OTA firmware update management: secure delivery, versioning, rollback, fleet orchestration - Write Architecture Decision Records (ADRs) for every major technical choice — nothing undocumented - Design the scaling path from 100 devices (pilot) to 500,000+ (production) without structural rework - Build core platform services from scratch: device management, telemetry ingestion, rule engine, notification/alerting, OTA update, multi-tenant API gateway - Develop REST and GraphQL APIs with full OpenAPI specification — version-controlled from Day 1 - Implement WebSocket and SSE endpoints for real-time telemetry delivery to web and mobile clients - Build device command-and-control with acknowledgement, retry logic, and timeout handling - Implement device shadow service: last-known state of every device accessible even when offline - Write unit, integration, and load tests — no service reaches staging without test coverage - Own service reliability: SLO definitions, alerting runbooks, on-call incident response - Provision and manage all AWS environments (dev, staging, production) using Terraform — no click-ops - Configure AWS IoT Core: MQTT endpoint, topic namespace, rules engine, certificate management - Set up CI/CD pipelines via GitHub Actions for all backend services - Configure CloudWatch monitoring, log aggregation, and automated health alerts - Manage IAM for all team members — least-privilege access, no shared credentials - Hand off infrastructure fully documented when a DevOps engineer joins in Phase 2 Benefits - Competitive salary - Flexible working hours - Remote work options - Health and wellness benefits - Professional development opportunities