Role Description Join Archy as a Senior Platform Software Engineer and help revolutionize dental practice management with our cutting-edge SaaS solution. You’ll work with our Java Spring Boot backend to deliver reliable, scalable systems that empower dental professionals to focus on patient care. We are looking for a driven Senior Platform Engineer to join our growing team. You’ll thrive in our environment, where flexibility, adaptability, and initiative are key. You’ll have the opportunity to architect and scale our cloud infrastructure, collaborate with a mighty team, and see your work have a direct impact on the stability and velocity of our entire engineering organization. Job Responsibilities: - Own and evolve our cloud infrastructure and CI/CD pipelines, driving projects from inception to deployment. - Gain deep knowledge of our backend stack (Java Spring Boot) and partner with engineers to optimize system reliability, scalability, and deployment workflows. - Expected to actively adopt and integrate AI tools into day-to-day workflows to enhance productivity, decision-making, and overall impact. - Automate infrastructure provisioning and monitoring, ensuring our platform meets high-quality and security standards through rigorous testing and documentation. - Participate in code and architecture reviews, providing and receiving constructive feedback to help the team continuously improve. - Identify opportunities for improving developer productivity and system observability, and work to implement those improvements. - Estimate and plan infrastructure development efforts, ensuring timely and high-quality delivery of platform features. Qualifications - Bachelor’s degree in Engineering, Computer Science, or equivalent experience. - 6+ years of experience as a Platform, DevOps, or Site Reliability Engineer, with a strong emphasis on Infrastructure as Code (IaC) and automation. - Experience with cloud providers (AWS/GCP/Azure) and container orchestration (Kubernetes/Docker). - Leverages AI tools and automation in everyday work to move faster, improve outcomes, and continuously raise the bar on how we operate. - A deep focus on stability, performance, and security to ensure our platform remains rock-solid for our users. - A customer-centric mindset — understanding that both our internal developers and dental practices rely on our platform to run smoothly. - Strong collaboration and communication skills, with an openness to feedback and a respect for the diverse voices and talents on our team. Benefits - Competitive salary and equity (some roles may be eligible for performance-based incentives or bonuses) - Health, dental, and vision insurance - 401(k) plan - Flexible vacation policy - Remote-friendly culture Company Description Smile! Those teeth you are showing deserve the best care you can give them, yet the status quo of the software your dentist uses today is outdated. Archy is a Series B vertical SaaS solution revolutionizing the dental practice management space — giving dental providers AI agents and software that lets them do what they do best (be dentists!) while we handle the more technical sides of running their practice business.

• Own and drive technical initiatives • Design and build core platform components • Make architectural decisions (service boundaries, data modeling, API contracts) and document them so the team can build on them • Work through complex domain problems • Elevate the team around you • Mentor mid-level and junior engineers through pairing, code review, and design discussions. Not just catching bugs, but teaching patterns • Transfer knowledge proactively, mentoring engineers to discover the "why" with a deep foundation of how systems are built • Establish and maintain coding standards, testing strategies for your initiative area • Participate in domain learning sessions with PBM subject matter experts and help translate business rules into system design • Build and maintain production systems • Design and build gRPC APIs using NestJS or Go (depending on the component) with PostgreSQL for persistence • Build internal tooling interfaces in React • Implement normalized data models (3NF) for complex domain entities • Define and implement service communication patterns using Protocol Buffers and gRPC • Own observability for your systems. Maintain Datadog monitors, Sentry error tracking, and know when something is wrong before users report it • Build with test-driven development: define expected outcomes upfront, then build until they pass • Shape how we work • Contribute to architecture decisions in cross-team forums • Drive AI-native development practices by establishing workflows, sharing findings, and helping the team use AI tools effectively • Identify and raise risks early, including timeline slippage, technical debt, vendor reliability issues, and compliance gaps • Coordinate across team boundaries when your work touches other services or teams

Overview We are seeking an experienced Power Platform Senior Developer to lead the design, development, and delivery of enterprise-grade automation and application solutions. This role partners closely with business and IT stakeholders to architect scalable systems, optimize processes, and drive digital transformation across the organization. The Senior Developer will serve as a subject matter expert in Microsoft Power Platform technologies and provide technical leadership, solution best practices, and solution delivery. This position is a corporate support position home based in LMI’s ETS department. Responsibilities - Architect, build, and maintain automated workflows using Power Automate - Design, develop, and enhance advanced Power Apps solutions (canvas and model-driven) - Translate business and technical requirements into secure, scalable, and maintainable platform solutions - Integrate Power Platform capabilities with Microsoft 365 (Dataverse), Azure, and external systems - Perform solution testing, troubleshooting, performance tuning, and lifecycle optimization - Test, troubleshoot, and optimize workflows and applications for performance and reliability - Meet with business stakeholders to assess business processes and identify opportunities for improvement. - Collaborate and support as needed other Power Platform developers across the organization - Support the ETS goal of Agent-First AI Strategy as part of solutioning improvement and augmentation - Create and maintain technical documentation, solution diagrams, and operational procedures - Define and enforce governance, security, and platform standards - Lead or participate in sprint planning, technical reviews, and solution design sessions - Provide mentorship, guidance, and technical support to junior developers and citizen developers Qualifications Core Qualifications - Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field - 7+ years of experience developing solutions using Power Apps, Power Automate, and related technologies - Deep knowledge of Microsoft 365, Dataverse, connectors, and integration patterns - Strong analytical, architectural, and problem‑solving skills - Strong written, verbal, and cross-functional communication skills - Ability to lead complex projects and manage multiple priorities in a dynamic environment - Experience implementing secure, compliant, and scalable automation and application solutions Additional Desired Qualifications - Experience designing and optimizing enterprise workflow automations - Expertise in building advanced canvas and/or model-driven applications - Strong understanding of environment strategy, ALM, and solution deployment - Familiarity with AI tools and Agentic AI concepts - Familiarity with Power BI, Azure Functions, and other Microsoft ecosystem services - Experience supporting or leading low‑code governance programs - Passion for innovation, process improvement, and digital transformation

AI Platform Engineer Remote California, California, United States DevOps Job detailsApply Job description OpenVPN is building out AI tooling across the organization, but the infrastructure, governance, and operational patterns around it don't exist yet. This is a greenfield ownership role. You won't be inheriting a playbook — you'll be writing it. You'll define the architectural standards, establish the governance frameworks, and build the platform layer from the ground up: developer tooling, internal AI-powered workflows, and the cloud infrastructure (Vertex AI, etc.) that supports it all. If it touches AI at OpenVPN, it runs through you. What You’ll Own AI Developer Tooling & Enablement • Own the rollout and operational management of AI-assisted development tools across engineering (e.g., Cursor, Copilot, Claude Code) • Define and implement access controls, license management, and usage policies that satisfy SOC2/ISO 27001 requirements • Build cost tracking and reporting so leadership has visibility into AI tool spend and usage patterns across the org • Reduce friction for engineers adopting these tools while maintaining security and auditability Internal AI-Powered Workflows • Partner with teams across the org to identify, build, and support internal AI applications such as RAG pipelines, agents, and automation workflows • Evaluate and recommend tooling, frameworks, and patterns based on what teams actually need • Define where IaaS’s responsibility ends and consuming teams’ begins – this boundary doesn’t exist yet; you’ll help draw it Governance, Security & Compliance • Advise on data governance policies for LLM usage, including what data can go into which models, where outputs are stored, and how audit trails are maintained • Ensure AI infrastructure and tooling meets existing SOC2 and ISO 27001 controls and can be evidenced in audits • Provide leadership with clear, regular reporting on AI adoption, cost, risk, and usage across the org AI/ML Cloud Infrastructure • Stand up and manage AI/ML infrastructure, primarily on GCP (Vertex AI) within OpenVPN’s existing environment • Design the Terraform modules and IaC patterns for AI infrastructure that follow the team’s existing conventions (e.g., Atlantis-driven GitOps workflows) Cost Management • Build visibility into AI/ML infrastructure costs and implement controls (spot instances, auto-scaling policies, idle resource cleanup) consistent with how compute costs are managed elsewhere • Evaluate build-vs-buy decisions for AI/ML infrastructure components and managed services with an eye toward operational fit within existing patterns Job requirements Must Have ✓ Hands-on experience standing up and managing AI/ML infrastructure such as Vertex AI, or comparable platforms (SageMaker, Azure ML) ✓ Has set up AI developer tooling (Cursor, Copilot, etc.) at an org level, including managing rollout, access, and cost ✓ Infrastructure-as-code fluency: Terraform is our primary tool, managed through Atlantis. You should be able to write modules that other teams consume through self-service ✓ Ability to work across teams and define boundaries for a new capability area that doesn’t have established patterns yet ✓ Can communicate clearly with leadership about cost, risk, and value of AI investments Strong Preference • Strong GCP experience • Understanding of security and compliance in a regulated environment (SOC2, ISO 27001); experience implementing controls or working within audit frameworks • Platform engineering mindset: thinks about how to make things self-service, auditable, and repeatable rather than one-off • Experience with model serving infrastructure: managed inference services (Vertex AI endpoints, Bedrock, Azure OpenAI) or self-hosted frameworks, including routing, scaling, monitoring, and cost controls • Experience with RAG infrastructure components such as vector databases, embedding pipelines, and retrieval systems • Familiarity with LLM operational patterns including prompt caching, batching strategies, model versioning, and monitoring/observability approaches specific to inference workloads Nice to Have • Familiarity with Kubernetes/EKS since the rest of the team’s infra lives there • Experience with data infrastructure (BigQuery, Kafka, Cloud Composer) • Configuration management experience with Ansible or Puppet • Familiarity with AI/ML managed services on AWS (Bedrock, SageMaker) and how they fit alongside self-managed infrastructure • Has gone through an ownership transition or greenfield buildout before and knows how to establish patterns from scratch without over-engineering Our philosophy is that we are a small, closely-knit team and we care deeply about you. What We Offer: - Competitive compensation that reflects your skills and contributions(compensation for this position will be tailored based on qualifications and experience. Candidates offered the position can expect a starting base salary between $140,000 and $150,000 per year) - Generous time off opportunities to recharge and enjoy life outside of work - Flexible scheduling to support work‑life balance - Fully remote work environment — work from anywhere you’re most productive - Global collaboration with talented colleagues in Silicon Valley and around the world