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.

Role Description Guardian is transforming how we deliver digital and data-driven experiences. This role leads the strategy and execution of our enterprise API ecosystem—enabling secure, scalable, and reusable services that power customer, product, and AI capabilities across the organization. You will modernize our API landscape, establish engineering standards, and lead teams delivering high-quality integration solutions across the enterprise. - Lead the design and delivery of scalable, reliable API platforms across the enterprise - Establish and enforce API standards across security, performance, and lifecycle management - Modernize legacy integrations into reusable, well-governed APIs - Drive adoption and reuse of APIs across product and engineering teams - Partner with architecture, cybersecurity, and platform teams to align on integration patterns - Improve developer experience through tooling, automation, and self-service capabilities - Build and lead high-performing engineering teams across platform and delivery - Reduce duplication and improve efficiency across enterprise integrations - Influence technology direction through strong cross-functional partnerships Qualifications - Bachelor’s degree or equivalent experience in Computer Science, Engineering, or related field - 10+ years of experience in software engineering, API development, or platform engineering - 5+ years of experience leading engineering teams and delivering at enterprise scale - Proven experience designing and implementing API strategies and integration architectures - Experience modernizing legacy systems into scalable, service-based architectures - Strong understanding of API security, governance, and lifecycle management - Experience operating in complex, cross-functional environments with multiple stakeholders - Demonstrated ability to influence senior leaders and drive enterprise-wide initiatives Requirements - Experience leading API, platform, or integration engineering in large-scale environments - Strong expertise in API design, microservices, and modern integration patterns - Proven ability to establish standards and drive adoption across teams - Experience modernizing legacy systems into scalable services - Strong understanding of security (authentication, authorization, zero-trust) - Experience leading and developing engineering teams - Ability to influence senior stakeholders and drive enterprise outcomes Preferred Qualifications - Experience with cloud-native architectures (e.g., AWS, Azure) - Familiarity with event-driven architectures and distributed systems - Exposure to data and AI integration patterns - Experience implementing developer platforms or API marketplaces - Background in financial services or regulated industries Success Measures - High platform reliability, performance, and developer experience - Increased API adoption and reuse across teams - Reduction in redundant integrations and services - Strong compliance with security and engineering standards - Improved delivery speed and predictability - Reduction in API-related incidents Salary Range $178,690.00 - $293,560.00 The salary range reflected above is a good faith estimate of base pay for the primary location of the position. The salary for this position ultimately will be determined based on the education, experience, knowledge, and abilities of the successful candidate. In addition to salary, this role may also be eligible for annual, sales, or other incentive compensation. Our Promise At Guardian, you’ll have the support and flexibility to achieve your professional and personal goals. Through skill-building, leadership development and philanthropic opportunities, we provide opportunities to build communities and grow your career, surrounded by diverse colleagues with high ethical standards. Benefits As part of Guardian’s Purpose – to inspire well-being – we are committed to offering contemporary, supportive, flexible, and inclusive benefits and resources to our colleagues. Explore our company benefits at www.guardianlife.com/careers/corporate/benefits . Benefits apply to full-time eligible employees. Interns are not eligible for most Company benefits. Equal Employment Opportunity Guardian is an equal opportunity employer. All qualified applicants will be considered for employment without regard to age, race, color, creed, religion, sex, affectional or sexual orientation, national origin, ancestry, marital status, disability, military or veteran status, or any other classification protected by applicable law. Accommodations Guardian is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Guardian also provides reasonable accommodations to qualified job applicants (and employees) to accommodate the individual's known limitations related to pregnancy, childbirth, or related medical conditions, unless doing so would create an undue hardship. Visa Sponsorship Guardian is not currently or in the foreseeable future sponsoring employment visas. In order to be a successful applicant, you must be legally authorized to work in the United States, without the need for employer sponsorship. Notice Regarding Guardian’s Use of Artificial Intelligence in Recruitment As part of Guardian’s job application process, Guardian may use artificial intelligence tools (“AI Tools") to automate the sorting and filtering of information provided by applicants as part of its preliminary screening. This preliminary screening may be used to help identify applicant materials and resumes relative to their indication that the applicant meets the requirements for the specific job for which they are applying, as specified in the listing posted on Guardian’s jobs website. At Guardian, we do not use AI Tools to substantially assist or replace human judgment or discretionary decision making in our hiring process. All hiring decisions will be made by Guardian colleagues. Please be aware that if you apply for a specific position with Guardian, you will have the choice of opting out of Guardian’s use of AI Tools during the job application process.