• Manage and support a multi-site on-premises Oracle Endeca environment, with dedicated applications and MDEX engines for each site. • Administer, monitor, and optimize MDEX engines, DGraph, Forge pipelines, and search/navigation configurations. • Analyze and resolve search relevance, navigation, facets, and product discovery issues across multiple sites. • Monitor and tune query performance, indexing, and system resource usage to ensure the best customer experience. • Investigate and resolve production incidents related to search availability, indexing failures, performance degradation, and application integrations. • Design, maintain, and troubleshoot data ingestion pipelines based on Forge and custom ETL processes from flat files. • Manage deployments, versioning, and releases using GitLab (custom cartridges, scripts, configurations). • Work with Squid proxy infrastructure for cache troubleshooting, routing, latency, and availability between the application and Endeca. • Execute Endeca index builds, deployments, rollbacks, and validations in a controlled production environment. • Develop and maintain operational runbooks, support documentation, deployment procedures, and disaster recovery plans.

Role Description Managing business expenses shouldn’t be a guessing game. Yet many SMEs still lack clear cash flow visibility and spend control. At Budgetly, we’re changing that. We’re building an AI-first platform that simplifies expense management and helps businesses make better financial decisions, faster. The goal is simple: help you spend smarter, save time, and grow profitably. Six months ago, “agentic engineering” felt novel. Today, it’s rapidly becoming the default way teams ship software. Most companies are using AI to make engineers type faster. We’re building something more ambitious: - We’re building an AI-first delivery system where agents ship product features end-to-end — and engineers build the platform (the harness) that makes it safe, reliable, and scalable. - If this works, feature delivery scales with product ambition, not headcount. In this role, you’ll build that harness: - Agent runtimes & execution loops (plan → act → observe → reflect; retries; stop conditions) - Agentic loops & feedback loops that convert outcomes into improvements (evals, regressions, learnings) - Tooling & skills (MCP/tool integration, internal APIs, secure credentials, sandboxes) - Governance (permissions, policy, human-in-the-loop gates, audit trails) - Observability (traces, cost attribution, failure taxonomies, runbooks) - Evaluation harnesses (scenario suites, trajectory scoring, tool-arg correctness, “non-deterministic unit tests”) What success looks like in ~12 months: - A managed agent platform that product can rely on for meaningful, customer-facing delivery - Agent workflows ship features with high repeatability, not “poke-and-hope” - Clear quality gates: eval harnesses, review agents, regression suites, and rollout controls - Engineers spend less time in the loop and on reviews and more on improving the factory (reliability, speed, safety) This isn’t a traditional senior engineering role. You won’t spend most of your time implementing product features directly. Your time will roughly split: - 50% building and evolving agent harnesses: orchestration, toolchains, approvals, secure execution, managed agents - 50% reviewing and improving outputs: tracing failures, improving prompts/steering, tightening eval harnesses, reducing loop count Concretely, you’ll: - Design and implement agentic workflows that take a requirement from spec → code → review → deploy - Build agentic loops that turn mistakes into system-level improvements (not one-off fixes) - Develop evaluation harnesses (offline + CI) to detect regressions in behavior, not just tests in code - Define and maintain review gates (human-in-the-loop + automated reviewers) for risky changes - Improve tool reliability: schemas, typed tool interfaces, retries, timeouts, safety checks - Build platform capabilities for managed agents: long-running sessions, checkpoints, state/memory boundaries, and recovery - Evolve the platform architecture (TypeScript, serverless architecture, shared codebase) with an eye for simplicity and maintainability - Partner with Product to reduce ambiguity and translate intent into testable, evaluable spec Qualifications - Strength in systems thinking for agent harnesses and loops - Ability to design the execution harness around agents: feedback loops, evaluation strategy, safety constraints, and the “glue code” that makes autonomy safe in production - Engineering taste: ability to judge agent-generated code for conventions, simplicity, correctness, maintainability, security - Strong TypeScript and React experience in production environments - Experience shipping real software to real users (not just prototypes) - Ability to read a codebase and quickly identify its patterns, conventions, and architecture - Comfortable working in ambiguity and turning fuzzy intent into clear acceptance criteria + evals - Familiarity with agent tooling concepts: tool calling, MCP/tool integration, guardrails, evals, tracing/observability, and permissioning - Nice to have: AWS serverless experience (CDK, Lambda, DynamoDB) Requirements - Strong TypeScript and React experience in production environments - Experience shipping real software to real users (not just prototypes) - Ability to read a codebase and quickly identify its patterns, conventions, and architecture - Comfortable working in ambiguity and turning fuzzy intent into clear acceptance criteria + evals - Familiarity with agent tooling concepts: tool calling, MCP/tool integration, guardrails, evals, tracing/observability, and permissioning - Nice to have: AWS serverless experience (CDK, Lambda, DynamoDB) Benefits - Fully remote (work from anywhere in Australia) - 5 weeks annual leave and flexible working - Monthly Wellness Budget (mental & physical health) - Employee share options (ESOP) for all team members Company Description We’re guided by trust, respect, and ownership. Our values, Embrace Change, Carte Blanche, Find Wisdom in Data, and We All “Own It”, shape how we work. We welcome applications from all backgrounds, abilities, and identities. We value diversity and believe that it enhances our creativity, innovation, and overall success. Join us in creating a workplace where everyone can thrive. Compensation: AUD 140000 - AUD 170000 yearly

Role Description Based in our Manila office (or remote in PHT), you will be working in a global automation and operations team, focusing on building, deploying, and managing mission-critical infrastructure. Responsibilities - Design, implement, and maintain infrastructure services supporting 30+ development teams. - Develop and manage infrastructure as code using GitOps principles. - Manage and optimize AWS cloud infrastructure for scalability, reliability, and security. - Participate in on-call rotations and lead incident response within the team. - Monitor, troubleshoot, and resolve issues across infrastructure, networks, and applications. - Collaborate closely with development teams to deliver robust, production-ready solutions. - Set a strong technical example through code reviews, architecture discussions, and hands-on delivery. Qualifications - 3+ years of demonstrable experience in Platform Engineering, DevOps, or Site Reliability Engineering (SRE) roles. - Solid experience in maintaining large-scale, business-critical cloud production environments (AWS preferred). - Experience with infrastructure automation (Chef, Terraform, etc.). - Deep hands-on experience on managing and scaling containers like Docker and Kubernetes. - Proven track record of designing secure and efficient CI/CD (like GitHub actions). - Proficiency as a developer (Python, Ruby, and Go Lang). - Strong passion for automation. Requirements - Experience with ELK (Elasticsearch, Logstash, Kibana), RabbitMQ, NoSQL or similar applications. - Comfortable working in distributed and global teams. - Comfortable participating in a periodic on-call rotation to support critical production systems. - Ubuntu operating system expertise. - Fluent in English (written and verbal).

Role Description Buscamos un/a Senior Platform Engineer para sumarse a Darwoft y colaborar en un proyecto fintech internacional enfocado en pagos digitales. La persona será responsable de implementar, configurar y customizar Port.io como Internal Developer Portal, con el objetivo de mejorar la visibilidad, gobernanza, autonomía y eficiencia operativa de los equipos de ingeniería. Este rol combina experiencia en: - DevOps - Platform Engineering - Automatización - Integración de herramientas - Developer experience - Diseño de plataformas internas No se trata únicamente de configurar una herramienta, sino de construir una solución que ayude a los equipos técnicos a trabajar con mayor claridad, trazabilidad y autonomía. Responsibilities - Implementar y customizar Port.io como Internal Developer Portal. - Diseñar y mantener el catálogo interno de servicios, aplicaciones, APIs, repositorios, ownership e infraestructura. - Configurar blueprints, entities, scorecards, dashboards y self-service actions dentro de Port.io. - Integrar Port.io con herramientas del ecosistema de ingeniería, DevOps, cloud, CI/CD y gestión de proyectos. - Diseñar flujos self-service para reducir dependencias operativas entre equipos. - Colaborar con equipos de desarrollo, DevOps, arquitectura, seguridad y producto. - Definir criterios de madurez técnica, production readiness, ownership, documentación y observabilidad. - Automatizar procesos internos mediante APIs, webhooks, scripts o integraciones nativas. - Documentar integraciones, procesos, estándares y buenas prácticas de uso de la plataforma. - Proponer mejoras orientadas a developer experience, gobernanza técnica y eficiencia operativa. - Acompañar la adopción interna de la plataforma dentro de los equipos técnicos. Qualifications - Experiencia sólida como Platform Engineer, DevOps Engineer, SRE, Cloud Engineer o rol similar. - Experiencia trabajando con herramientas de CI/CD. - Conocimientos sólidos de Kubernetes. - Experiencia con Terraform u otras herramientas de Infrastructure as Code. - Experiencia integrando herramientas mediante APIs, webhooks o automatizaciones. - Conocimiento de entornos cloud como AWS, Azure o GCP. - Experiencia con sistemas de versionado como GitHub, GitLab o Bitbucket. - Capacidad para diseñar y documentar procesos técnicos internos. - Conocimiento de conceptos de RBAC, permisos, seguridad, secretos y compliance técnico. - Experiencia trabajando con arquitecturas distribuidas, microservicios o plataformas cloud-native. - Inglés avanzado para interactuar con equipos y stakeholders internacionales. Nice-to-Have - Experiencia previa con Port.io. - Experiencia con herramientas similares como Backstage, Cortex, OpsLevel, Humanitec u otros Internal Developer Portals. - Experiencia implementando plataformas internas para equipos de desarrollo. - Conocimiento de métricas de ingeniería como DORA metrics, service maturity, operational readiness o engineering health. - Experiencia en proyectos fintech, pagos digitales, wallets, banking, lending o productos financieros. - Experiencia con herramientas de observabilidad como Datadog, Grafana, Prometheus, New Relic o similares. - Experiencia con GitOps, Helm, Argo CD o workflows cloud-native. - Experiencia trabajando con equipos distribuidos en LATAM y Estados Unidos. Education - Se valorará formación en Ingeniería en Sistemas, Ciencias de la Computación, Ingeniería en Software, carreras afines o experiencia equivalente en roles de Platform Engineering, DevOps, SRE o Cloud Engineering. Benefits - Contratación contractor full-time. - Trabajo remoto desde LATAM. - Participación en un proyecto fintech internacional de alto impacto. - Colaboración directa con equipos técnicos senior. - Desafíos reales de Platform Engineering, DevOps y developer experience. - Entorno de trabajo colaborativo, profesional y orientado a calidad técnica. - Posibilidad de trabajar en la implementación de una plataforma interna estratégica para equipos de ingeniería.