📌 Position: Senior Fullstack Engineer (React/Java) Location: Remote from LATAM Contract Type: Full-time vendor (via Inallmedia.com) Time Zone Alignment: CST (Central Standard Time) 🧭 About Inallmedia.com Inallmedia.com is a global technology and design firm focused on building impactful digital solutions through remote, distributed teams across LATAM. We partner with international clients across industries, providing long-term technical expertise, product innovation, and team augmentation. 🚀 Project Overview You will join the Company Insights & Connections (CIC) squad for a world-leading job marketplace platform. This team is responsible for the Employer Brand Marketplace, a high-traffic ecosystem where millions of job seekers research company values, reviews, and culture. As a Senior Fullstack Engineer, you will have end-to-end ownership of features that enhance employer branding tools and company pages. You will tackle technical challenges related to SEO optimization, high-scale User-Generated Content (UGC), and performance engineering, ensuring a seamless experience for both global employers and candidates. 🔍 Key Responsibilities - End-to-End Ownership: Scope, estimate, and execute complex technical projects from initial ideation to production deployment with high professional autonomy. - Full-Stack Development: Ship production-quality, high-performance code across the stack, focusing on sophisticated user interfaces and robust backend services. - SEO & Marketing Initiatives: Build and optimize features for company pages to improve search engine visibility, Core Web Vitals, and user acquisition. - Stakeholder Partnership: Act as a primary technical partner to Product Managers and Engineering Leads, translating business requirements into scalable code and proactively managing technical trade-offs. - Technical Decision Making: Navigate ambiguous requirements and make independent choices between speed of delivery and long-term code scalability. - Feature Evolution: Maintain and innovate on UGC modules, including company reviews, Q&A sections, and employer micro-content. 💡 Must-Have Skills - Front-End Expertise: Advanced proficiency in React and TypeScript (or expert-level modern JavaScript/ES6+). - Back-End Proficiency: Strong experience building scalable services using Java and Spring Boot. - Senior-Level Judgment: Proven ability to work "end-to-end" without hand-holding, demonstrating high ownership and architectural thinking. - Production Standards: Extensive experience shipping high-scale, production-ready code within Agile environments. - Communication: Strong ability to manage relationships with stakeholders, negotiate scope, and surface blockers clearly. - Language: Fluent English for daily technical discussions and documentation. 🌟 Nice-to-Have Skills - SEO Engineering: Familiarity with Server-Side Rendering (SSR) and optimizing for Core Web Vitals. - UGC Experience: Previous work with user-generated content platforms or marketplace dynamics. - Cloud & CI/CD: Exposure to modern cloud infrastructure and automated deployment pipelines. 🌐 Time Zone & Collaboration The role requires close collaboration with teams aligned to CST (Central Standard Time). As this is a 100% remote position for LATAM, candidates must be able to maintain a consistent overlap with US-based stakeholders. 💬 Language All interviews, technical documentation, and daily communication will be conducted exclusively in English. #LI

The Cloud Software and Platform Architect is responsible for defining and leading the end-to-end architecture of cloud hosted applications and the underlying platform, ensuring scalability, security, reliability, and cost efficiency. They partner with engineering, security, and product teams to shape cloud strategy, reference architectures, and implementation of roadmaps. Responsibilities Cloud & Platform Architecture Main - Architect and oversee implementation of shared platform capabilities (landing zones, PaaS services, internal developer platforms, golden paths). - Review solution designs and pull requests for architectural alignment, technical risk, and adherence to standards. - Stay current on cloud provider roadmaps and emerging technologies, evaluating their fit and proposing adoption where it is beneficial. Security, Governance & Cost Optimization - Collaborate with security teams to embed security-by-design (identity, network segmentation, encryption, secrets management, compliance controls) into cloud and platform architectures. - Contribute to cloud governance, cost management, and optimization practices (tagging standards, right sizing, reserved instances, FinOps). Data & Integration Architecture - Partner with data and integration teams to design data platforms (warehouses/lakes, streaming, ETL/ELT) and integration patterns (APIs, events, messaging) on the cloud. - Define and govern data architecture standards across structured, semi-structured, and unstructured data, ensuring consistency, scalability, and interoperability across domains. - Partner with enterprise and solution architects to establish canonical data models, data contracts, and metadata management frameworks aligned to business capabilities. - Design data movement, lineage, and governance patterns supporting both analytical and operational workloads. Modernization, Observability & Technical Leadership - Lead or support migration and modernization initiatives from on-prem to cloud (rehost, re-platform, refactor) including assessment, roadmaps, and solution designs. - Define observability strategy (logging, metrics, tracing, SLOs) and resilience patterns (auto scaling, failover, DR, backup/restore). - Provide technical leadership and mentorship to engineers, SREs, and developers; evangelize best practices in cloud native and platform engineering. REQUIREMENTS - 8–12+ years in software engineering, infrastructure, or DevOps, including 3–5+ years in cloud architecture. - Deep hands-on expertise with AWS or Azure and strong knowledge of core cloud services (compute, storage, networking, IAM, security). - Experience designing and building cloud‑native and distributed systems (microservices, containers, serverless). - Proven ability to architect and operate containerized workloads with appropriate networking, security, and observability. - Advanced proficiency with Infrastructure as Code (Terraform, ARM/Bicep, CloudFormation, Pulumi) and CI/CD automation. - Strong understanding of API design, event-driven architecture, and cloud integration patterns. - Knowledge of modern data platforms (Databricks, data lakes/warehouses, streaming, ETL/ELT) and data modeling. - Strong grasp of cloud security, compliance, and risk management (least privilege, zero trust, encryption, regulatory requirements). - Excellent communication, documentation, and stakeholder engagement skills. - Self-driven, collaborative, and experienced in mentoring and promoting engineering best practices. - PREFERRED REQUIREMENTS - - Experience designing internal developer platforms or platform engineering offerings (self-service environments, golden paths, platform APIs). - Background in SRE practices (SLOs, error budgets, incident management) and building highly available, resilient systems. - Certifications from major cloud providers (e.g., AWS Solutions Architect Professional, Azure Solutions Architect Expert, Google Professional Cloud Architect). - Experience in multi-cloud or hybrid cloud architectures and connectivity with on-premise environments. For the past 40 years we’ve woken up each day to support those that never stop feeding the world – and we have no plans to quit. We set the standard for farm management solutions and fix our eyes on raising the bar to meet the next generation of expectations. Our software and information solutions help collect and connect a farm's data – from herd management to feed performance, tracking and more. These insights are a source of truth, empowering producers and their trusted advisors to make profit-driven and sustainable management decisions. Whether near or far, large or small, VAS is at the heart of your dairy. VAS has deep roots in the industry through its origin within the URUS family of companies. As a holding company with cooperative and private ownership, URUS is a family of businesses at the heart of the dairy and beef industry – Alta Genetics, GENEX, Genetics Australia, Leachman Cattle, Jetstream, PEAK, SCCL, Trans Ova Genetics and VAS. Each organization has its unique identity, products, and services. These companies work globally to provide cutting-edge dairy and beef genetics, customized reproductive services to maximize conceptions, dairy management information to take producers to the frontline of progressive dairy farming, and an array of products and services to help bovines reach their full genetic potential. URUS has 9 brands in 17 retail countries and employs nearly 2,800 people globally.

• As an ML Platform Engineer on the ML Platform Engineering team, you will be instrumental in elevating our core ML platform to its next level of performance, reliability, and scalability. • You'll work on the critical infrastructure that directly enables all of Afresh's Machine Learning and Applied Science teams to innovate faster and deliver impact. • Your contributions will empower our product suite, including our flagship Prediction Engine, to power replenishment decisions on more than 15% of all produce sold in the United States. • In your first 3 months, you might deliver a project that helps generalize model configuration, enables no-code model deploys for our various ML solutions, or vastly improves integration testing across our ML systems. • By the end of your first 6 months, you will have owned the design and implementation of significant scalability improvements and additions to our ML platform.

• Define and align technical strategies for multi-year, multi-team initiatives with broader company goals. • Own technology decisions for large-scale architectures, including frameworks and build-versus-buy choices for key components. • Design systems with high reliability, scalability, and long-term maintainability, incorporating staged validation plans where necessary. • Ensure engineering quality through regular health reviews, curated testing strategies, and technical documentation that supports maintainability independent of your expertise. • Drive overall testing strategies for systems requiring high reliability or quality, including creating validation frameworks or systems. • Design platforms with long-term maintainability and embedded ML components, ensuring anomaly detection and NLP features were both scalable and production-ready. • Collaborate with machine learning engineers to design, validate, and deploy ML-based anomaly detection systems, ensuring performance met system SLAs • Employ systems-level mindset to integrate ML in production environments. • Partner with Directors, product managers, and design leadership to ensure alignment on technical strategy and business objectives. • Collaborate with stakeholders to identify and deliver new business opportunities enabled by technical capabilities. • Influence product decisions, scope, and technical trade-offs to prioritize customer value without compromising quality. • Drive technical choices that have sweeping implications across the engineering organization, rallying teams around clear rationales and technical visions. • Proactively identify and refocus engineering efforts when projects are off-course or not driving meaningful business impact. • Partner with senior leadership to define a long-term vision for engineering teams that aligns with business and market opportunities. • Serve as a mentor and technical guide for engineers at all levels, fostering a culture of learning and growth. • Champion engineering excellence by setting high standards for system design, coding, testing, and operational practices.