We're looking for an experienced DevOps Engineer to build and scale the infrastructure that powers our AI-driven coaching platform. As we grow our user base and expand upmarket, we need someone who can architect and maintain robust, scalable systems that support our complex data pipelines, multiple LLM integrations, and real-time coaching experiences. For this role, we are only hiring candidates in the United States or Canada.
Job listings
Join our Infrastructure Engineering team as an Infrastructure Engineer focusing on Observability! In this role, you'll design and operate metrics, logs, traces, and alerting pipelines, providing actionable insights for internal teams and external customers, ensuring reliability and transparency at scale.
Support the development, deployment, and observability of our mainnet and internal products. Manage observability and deployments for a complex, distributed system and CI/CD and build pipeline infrastructure. Author and maintain internal developer support tools.
The Infrastructure Engineer will design and build automation, tooling, and systems that bridge the gap between physical infrastructure and the platforms that power large-scale AI/ML and HPC workloads. The role combines the breadth of a core infrastructure engineer with a specialty in high-performance networking and GPU communication. The engineer will help ensure the InfiniBand fabric and NCCL stack are tuned, reliable, and efficient at scale β supporting some of the worldβs largest GPU clusters.
As a Lead GTM Engineer, you will build a robust revenue technology ecosystem with Salesforce at its core and drive efficiency and growth across our GTM teams by partnering with various departments to translate their requirements into actionable Salesforce project plans. You'll be hands-on as an individual contributor developing solutions within the Salesforce ecosystem, and also mentor a team of Salesforce Administrators.
As a key member of the Platform Engineering team, you will play a role in designing, building, and maintaining the systems and infrastructure necessary to support Omadaβs mission. The Platform Engineering team is responsible for both the operational integrity of our infrastructure, as well as DevOps processes which help other engineers get more done with less pain.
The Cloud Infrastructure/Site Reliability Engineer (SRE) will design, implement, and maintain API-driven, enterprise-grade infrastructure across Microsoft Azure and Amazon Web Services (AWS). This role will focus on Azure API Management (APIM), Amazon API Gateway, and automation using GitHub Runners to ensure high availability, scalability, and reliability of mission-critical applications.
As an Infrastructure Engineer, you'll ensure the continuous improvement and operation of our FedRAMP-High compliant infrastructure. You and your teammates will be responsible for our Infrastructure and Platform Engineering efforts. Youβll advocate for secure, scalable design decisions, and guide your co-workers in making optimal trade-offs to build the best infrastructure possible for our customersβ needs.
The Enterprise Agent Solutions Developer designs, builds, and deploys AI-powered automation and agent-based solutions to drive efficiency across enterprise SaaS business systems. This role independently designs, prototypes, and implements scalable & intelligent automation solutions that streamline cross-functional operations, integrating LLM-powered AI agents with tools like Salesforce, NetSuite, Workday, and other SaaS platforms.
Lead a team of engineers, contribute to DevOps strategy and infrastructure decisions, and improve developer happiness and productivity. You will empower developers to use AI, deliver cost savings, build AWS cloud infrastructure, and ensure its high availability, all while growing top engineering talent.