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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Principal Site Reliability Engineer, Platform - **Company:** Blue River Technology - **Location:** Santa Clara, CA, United States (Remote available) - **Experience:** Expert - **Salary:** $174,000.0 - $305,000.0 - **Contract:** Permanent contract - **Skills:** JavaScript (Programming Language), Artificial Intelligence, Amazon Web Services, Data Analysis, Computer Vision, Software as a Service, Cloud Computing, Continuous Integration, Software Design Patterns, Github, Intrusion Detection and Prevention, Python (Programming Language), Machine Learning, Object-Oriented Software Development, Reliability Engineering, Robotic Automation Software, Software Engineering, Web Services, Workflow Management Systems, Rust (Programming Language), System Availability, IT Architecture, Backend, Kubernetes, SailPoint, Terraform, Artifactory, Golang - **Published:** August 24, 2026 - **Apply:** https://www.bluerivertechnology.com/job/?gh_jid=8155631 ## About the Role * Min. of 8 years of deep experience in building and maintaining infrastructure for data-intensive, high-availability applications, including six years building and maintaining public cloud solutions. * Deep understanding of cloud orchestration tools such as Kubernetes and Terraform. * Deep understanding of software design methodologies, information systems architecture, object-oriented design, and software design patterns. * Deep understanding of securing cloud infrastructure (preferably AWS and Kubernetes). * Deep experience in one or more of the following languages: Golang (preference), Python, JavaScript, Rust. * Deep experience in CI/CD tooling (GitHub Actions, ArgoCD, ArgoCD Image Updater, Artifactory). Preferred Experience and Skills * You are interested in robotic applications and developing software that assists robots. * You are excited about robotics and the future of automation. * You are a self-starter with infectious enthusiasm, energy, and problem-solving abilities. ## Description Architects and owns highly available infrastructure and Kubernetes-based platforms supporting autonomous systems. Builds Golang backend services, platform tooling, observability systems, dashboards, alerts, and log aggregation. Partners with product teams to launch services, performs performance analysis, manages cloud upgrades, and participates in incident response and postmortems. Collaborates on cloud security risk assessments, intrusion detection, threat-feed systems, risk mitigation, and SaaS payment processes. Provides architectural leadership and mentorship across engineering teams. The summary above was generated by AI We're Blue River, a team of innovators driven to create intelligent machinery that solves monumental problems for our customers. We empower our customers - farmers, construction crews, and foresters - to implement safer and more sustainable solutions, driving increased profitability with less reliance on scarce labor. We believe that focusing on the small stuff - pixel-by-pixel and task-by-task - leads to big gains. Blue River Technology aligns with John Deere's vision to "innovate on behalf of humanity" by quickly identifying and solving high-value, high-uncertainty challenges in AI, machine learning, computer vision, and robotics. BRT acts as a research and development flywheel, building not only new products but also new platforms that reliably create value for both Deere and its customers. From fully autonomous machines to highly precise farming equipment, BRT and Deere are partnering to create technical breakthroughs in industries like agriculture and construction. Our people are at the heart of what we do. Through cross-disciplinary collaboration, this mission-driven team is eager to define the new frontier of robotics. We are always asking hard questions, rapidly iterating, and getting our boots in the field to figure it out. We won't give up until we've made a tangible and positive impact on the planet!, We are seeking a Principal Site Reliability Engineer to join the Platform organization, which accelerates company-wide adoption and scaling of automation and robotics. The Platform's product is a set of API services and infrastructure designed to overcome scaling hurdles, such as operational complexity and system exceptions, thereby enabling the rapid launch and scaling of new autonomy innovations and products at Blue River. In this role, you will join a fun, fast-moving engineering team to drive architectural decisions, mentor engineers across teams, and shape our platform's direction., A combination, not necessarily all-inclusive, of the following: * Architect, scale, and own essential infrastructure. * Build and maintain a Kubernetes-based platform supporting multiple teams and services. * Build backend services (Golang) to support autonomous systems. * Partner with product teams to launch new products on the platform. * Grow our high availability infrastructure while maintaining key metrics such as uptime. * Build tooling to support our platform and development teams. * Perform end-to-end performance analysis, identify areas for improvement, and implement robust solutions. * Work with cloud vendors and external technical support for upgrades and rapid problem resolution. * Participate in on-call rotation, triaging and resolving production incidents with thorough root cause analysis and postmortem documentation. * Design and maintain observability infrastructure, dashboards, alerts, and log aggregation to ensure visibility into platform health and service performance. * Collaborate with the security team to conduct regular risk assessments. * Maintain the risk register and develop and implement mitigation plans. * Assess intrusion detection alerts. Improve systems and services that digest threat feeds. * In collaboration with IT and purchasing teams, establish and maintain the payment process for each SaaS service., Artificial Intelligence * Big Data * Cloud * Machine Learning * Software * Business Intelligence * Data Privacy The role involves designing cloud infrastructure, managing production Kubernetes clusters, optimizing CI/CD pipelines, enhancing developer experience, and ensuring reliable AI workloads. Candidates should have extensive experience in infrastructure and distributed systems engineering with strong coding skills and cloud expertise. 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