Role Description HiveRx is a production pharmacy operations platform built for regulated compounding environments. It is actively used, actively growing, and actively being extended across pharmacy workflows, integrations, and compliance-heavy operations. This role owns core platform development: the features and systems that power every pharmacy we support. That includes sterile compounding workflows, pharmacy-specific operational needs, insurance and ERP touchpoints, and the platform foundations that will eventually support AI-assisted and agentic workflows. This is not a pure feature-ticket role, and it is not a generic backend role. It requires someone who can understand the business process, the regulatory constraints, the technical architecture, and the long-term platform consequences of what they build. Job Activities and Responsibilities - Build and extend core HiveRx platform capabilities used across regulated pharmacy operations - Work on compliance-heavy workflows involving compounding, dispensing, pharmacy configuration, insurance, and operational controls - Contribute to architecture decisions for platform features that need to scale across many pharmacies with different workflows - Write production-quality Laravel and Vue code that fits the existing system rather than fighting it - Participate in QA, release planning, and post-release validation for platform changes - Translate business needs and regulatory requirements into detailed, unambiguous feature specifications - Research workflows, compliance constraints, vendor APIs, ERP behavior, and integration patterns - Help bring more ERP, inventory, finance, and operational integration ownership in-house, with NetSuite experience especially valuable across the hiring slate - Work directly with internal stakeholders to extract and validate requirements - Write specs that are complete enough to be handed off without a follow-up meeting - Support active platform tracks and keep implementation moving without unnecessary consultant dependency - Identify gaps, inefficiencies, and risks proactively across data integrity, auditability, workflow edge cases, access control, and operational failure modes - Contribute to technical, user-facing, and compliance-relevant documentation - Help define implementation standards for HiveRx platform work - Raise architectural concerns before they become expensive product problems - Other duties as assigned Qualifications - Strong command of PHP and Laravel; you can read, debug, and write production code in a real codebase - Comfortable with Vue 3, Inertia.js, Tailwind CSS, and Vite-based frontend tooling - Experience designing and maintaining integrations with ERP, finance, inventory, or operational systems is strongly preferred - NetSuite experience is especially valuable because we want at least one senior product engineer who can help bring that integration knowledge in-house - Able to work within an established architecture without needing to rebuild it - Experience working in or building software for regulated industries, preferably healthcare - Understanding of compliance considerations that affect software design: audit trails, data integrity, access control, and change documentation - Familiarity with pharmacy, compounding, dispensing, ERP, or adjacent workflows is a meaningful plus - Able to learn pharmacy workflows deeply enough to make correct product and engineering decisions - Comfortable using AI tools as a productivity layer for research, code review, implementation support, and documentation - Able to critically evaluate AI-generated code and documentation, especially in compliance-sensitive contexts - Understands where AI output requires extra scrutiny: edge cases, regulatory logic, data handling, and integration boundaries - Strong technical writer; your specs require minimal clarification - Able to communicate clearly with both engineers and non-technical stakeholders - Detail-oriented without being slow; you know when a spec is done - Comfortable explaining tradeoffs, risks, and implementation constraints clearly - Senior ownership mentality; you do not wait for perfect instructions before structuring the work - Comfortable with ambiguity; able to impose structure on it - Skeptical in the right ways; you look for failure modes before they reach production - Not looking for a role with clean lines; this role has overlap by design and requires someone who can context-switch without losing quality Requirements - Backend: PHP 8.4 / Laravel 13 - Postgres via Eloquent ORM - Laravel Horizon (Redis queues), Scout (search), Sanctum (auth), Reverb (WebSockets) - Saloon for API integrations - Frontend: Vue 3 / Inertia.js v2 - Tailwind CSS v4 / Vite - Testing: Pest v4 / PHPUnit 12 - Infrastructure: Kubernetes on AWS Physical Requirements - Ability to sit for extended periods. - Effective communication skills via telephone and email. - Ability to lift forty (40) pounds. Moving, lifting, or carrying boxes. - Fine Motor Skills - Visual acuity Benefits - Health care insurance (medical, dental, vision) - Life Insurance - Supplemental Insurance - PTO - 401K matching - Sick leave - Remote-first

Role Description The role will be tasked with developing and maintaining our Application Hosting Infrastructure on Kubernetes in GCP. As a Platform Engineer, you will play a critical role in developing and maintaining our core application infrastructure that supports our business operations. You’ll be part of a small, focused team that prioritizes automation and security while engineering a robust platform for hosting internal applications. This position offers the chance to work with the latest technologies in an AI-forward environment, allowing you to contribute to impactful projects that drive our growth. What You Will Be Doing - Design scalable infrastructure solutions that meet the demands of our core applications. - Implement infrastructure as code practices to automate and streamline processes. - Monitor system performance, optimize resources, and integrate cloud services while troubleshooting and resolving any infrastructure issues that arise. - Implement CI/CD pipelines to streamline the software development lifecycle. - Design and develop scalable build systems to ensure applications are delivered quickly and proficiently, matching the pace of business needs. - Ensure compliance with security regulations and best practices to protect application infrastructure. - Collaborate with Infosec and other engineering teams to implement effective incident response and CVE remediation processes. - Collaborate with cross-functional teams to gather requirements for platform improvements. - Provide technical support and guidance to internal users of the platform. - Facilitate knowledge sharing sessions to educate team members on platform features and best practices. - Analyze cloud spending patterns to ensure cost optimization and implement financial governance policies for cloud resources. - Identify opportunities for cost savings while enhancing operational efficiency. - Regularly assess application usage to eliminate unused resources and maintain a proficient environment. Qualifications - Bachelor's degree in Computer Science or equivalent experience. - 5+ years with infrastructure as code tools like Terraform or Crossplane. - 5+ years with cloud service providers like AWS, Azure, or Google Cloud. - Kubernetes and Cloud Native Associate or equivalent certification. - Knowledge of service mesh architectures such as Istio or Linkerd. - Hands-on experience with cloud security practices and tools. - Experience with cost management tools for cloud infrastructure. - Led cross-functional initiatives that improved platform usability and performance based on user feedback. - Experience with Elasticsearch is a plus. Requirements - Compensation for this role is in the form of base salary. This role does not have a variable compensation component. - The typical starting salary range for new hires in this role is $94,300 — $149,200 USD. - In select locations (including Seattle WA, Los Angeles CA, the San Francisco Bay Area CA, and the New York City Metro Area), an alternate range may apply: $113,300 — $179,200 USD. - An employee's position within the salary range will be based on several factors including, but not limited to, relevant education, qualifications, certifications, experience, skills, geographic location, performance, and business or organizational needs. - Elastic believes that employees should have the opportunity to share in the value that we create together for our shareholders. Benefits - Competitive pay based on the work you do here and not your previous salary. - Health coverage for you and your family in many locations. - Ability to craft your calendar with flexible locations and schedules for many roles. - Generous number of vacation days each year. - Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service. - Up to 40 hours each year to use toward volunteer projects you love. - Embracing parenthood with a minimum of 16 weeks of parental leave.

• Platform Engineers at Bright Machines are responsible for defining and implementing the systems that make Software Defined Manufacturing possible and that power our flexible robotic manufacturing lines. • As a Senior Platform Engineer, you will build scalable systems that are foundational to the Bright Machines technology stack. • You will work with Engineers across the Bright Machines organization to define, architect, implement, and deploy our software stack – from robot to cloud. • If you’re ready to apply exceptional engineering practices and build the platform that will define the next generation in manufacturing, this is your opportunity to “Be Bright”.

• Design, implement, and maintain cloud-native platform to support AI and data workloads. • Build and manage scalable data pipelines for ML and analytics. • Develop infrastructure-as-code using tools like Cloudformation and AWS CDK. • Collaborate with AI engineers, data engineers, and platform teams to improve AI model performance. • Drive best practices for observability including monitoring, alerting, and logging. • Integrate AI models and LLMs into production systems for various use cases.