• Build and operate an AI infrastructure platform: You will design, build, and operate cloud-native infrastructure and platform tooling that accelerates AI development across the company. This includes enabling teams to develop, deploy, and operate AI-powered services safely and efficiently in production environments. • Own the DevOps and infrastructure side of MLOps and Agentic Systems: You will focus on the operational foundations of AI systems, including CI/CD for AI workloads, scalable inference infrastructure, observability, cost management, and reliability. You will establish repeatable patterns and shared services that reduce friction for teams building AI-enabled applications. • Enable AI services, agents, and runtime platforms: You will build and maintain infrastructure to support AI services such as LLM-backed APIs, Model Context Protocol (MCP) servers, and agentic systems used by production applications. You will enable secure tool access, runtime orchestration, and isolation boundaries for AI-driven workloads. • Integrate MLOps capabilities into platform operations: You will apply MLOps concepts to improve platform operations, including using AI-driven approaches for monitoring, alerting, anomaly detection, and incident response across AI and non-AI systems. You will help evolve how the platform observes and operates complex AI-enabled systems at scale. • Establish governance, security, and operational guardrails: You will help define and implement infrastructure-level governance for AI systems, including access controls, deployment policies, auditability, and secure-by-default patterns. You will partner with security and compliance teams to ensure AI infrastructure aligns with organizational risk and regulatory requirements. • Provide technical leadership and enablement: You will act as a technical leader, influencing platform architecture and best practices across teams. You will mentor engineers and work closely with product, data, and application teams to align AI platform capabilities with business goals.

• Ship meaningful improvements to our infrastructure, reliability and developer experience • Take ownership of key platform areas and processes • Partner with product engineers to understand pain points, unblock delivery, and raise standards and improve how we operate

• Develop custom Kubernetes controllers and operators in Go using Kubebuilder. • Design and own CRDs, reconciliation logic, and controller lifecycles. • Implement and evolve GitOps pipelines for platform automation. • Program infrastructure by extending the Kubernetes API rather than relying on standard tooling. • Contribute to architectural design and platform strategy discussions. • Write clean, testable, production-grade Go code with strong testing coverage. • Participate actively in sprint ceremonies, code reviews, and backlog refinement. • Collaborate with cross-functional teams to improve platform maturity, reliability, and developer experience.

Mixmax is the #1 product helping Revenue teams to become automatically proactive by eliminating busywork for a flawless customer experience The Opportunity We're looking for a Senior Platform Engineer who wants high ownership: leading projects end-to-end, improving how services are built and operated, and creating paved paths that reduce toil across engineering. This role can be based in LATAM or Europe. We cannot hire in the USA for this position. Within your first few months, you'll: Ship meaningful improvements to our infrastructure, reliability and developer experience Take ownership of key platform areas and processes Partner with product engineers to understand pain points, unblock delivery, and raise standards and improve how we operate Preferred skills and background: Strong experience with TypeScript/Node.js and AWS Familiarity with infrastructure-as-code (Terraform) Experience operating and supporting the systems you build, not just shipping and moving on Clear written communication. We're a distributed team, and documentation matters It's also awesome (but not required) for you to have: Experience with MongoDB, OpenSearch/Elasticsearch, or Redis/Valkey Familiarity with observability tooling (OpenTelemetry, Datadog, etc.) Experience building internal platforms or developer tools Familiarity with microservices / event-driven / serverless architectures Experience with networking (DNS, load balancing, VPCs, etc.) How we work We’re a globally distributed team. We default to asynchronous communication, keep meetings lightweight, and rely on strong written docs to stay aligned. Our core stack is Node.js/TypeScript, React, MongoDB, and AWS. We mainly use Jira and Slack day-to-day. The Mixmax Story At Mixmax, our vision is a world without busywork. Since our launch in 2015, Mixmax has become the product of choice for over 10,000 Sales and Customer Success teams to eliminate and automate repetitive work. This means more time to focus on what matters: engaging and serving the needs of customers. We’re extraordinarily proud of the company we’ve built. We’re a driven, passionate, responsible group that values personal and professional growth equally. We take care of ourselves, our families, our customers, and one another. We believe in sustainable and diverse approaches to work and life, because optimizing for the long-term is the best path to success. Our company is globally distributed, with remote team members worldwide. We offer competitive salaries, meaningful equity, and generous benefits. And with Mixmax, you get to work on a product people love. 💜 Why Mixmax? We’re a product-led company with strong product–market fit, ambitious new AI initiatives, and a clear mission You’ll join at a pivotal moment - shaping the next generation of our platform and helping define how Mixmax scales technically and culturally. You’ll work in a team that values ownership, creativity, and building things that matter, where good ideas can come from anywhere. You’ll have autonomy, trust, and direct access to leadership, with the support to explore high-leverage opportunities and make real impact. Ready to lead and build at scale with a team that moves fast and cares deeply? We’d love to hear from you.