[![Image]() Meet Jobicy Copilot — free AI autofill for job applications + remote job alerts ›](#) [All remote jobs](https://jobicy.com/jobs.md)Open role[![UpBound logo](https://jobicy.com/data/server-nyc0409/galaxy/mercury/2025/06/15c8fee6-221.png)](https://jobicy.com/company/upbound.md)Remote opportunity at[UpBound](https://jobicy.com/company/upbound.md) # Senior Software Engineer Review the role, location requirements, compensation details, and application process before deciding whether this opportunity fits your next career move. [Apply for this job](#job-application)[View company](https://jobicy.com/company/upbound.md)Share6 Sep 2026Published24Listing views0Application actions6 Oct 2026Apply before Opportunity details ## About this role. AI SummaryUpbound seeks a Senior Software Engineer for its Spaces team, building and operating multi-control-plane management software within the Upbound Platform. The role centers on Go development, Kubernetes controllers, cloud-native distributed systems, and production reliability for multi-tenant SaaS and self-hosted deployments. Responsibilities span feature delivery, incident response, observability, debugging complex customer environments, operational tooling, and participation in an on-call rotation. The engineer will collaborate directly with customers and contribute to open-source projects including Crossplane. Clear technical writing is important, including design documents, post-incident reviews, runbooks, user guides, and blog posts. ## Role DNA A quick view of the complexity, pace, ownership and collaboration implied by the job description. ### Job Complexity 5/5EasyHard ### Pace & Pressure 5/5RelaxedFast-paced ### Autonomy Level 5/5GuidedFull ownership ### Communication Load 5/5IndependentCollaborative AI insightThis is a highly technical senior role requiring hands-on ownership of production Kubernetes-based distributed systems at significant scale. Success requires deep debugging capability, reliability engineering discipline, customer-facing incident management, and independent delivery across the full software lifecycle. ## Salary analysis Estimated compensation compared with the broader US market for similar roles. Estimated job medianMarket rate$175,000US market range$150k–$210k0$231k AI insightNo salary was disclosed in the posting. Estimated US annual base-salary market range for a Senior Software Engineer specializing in cloud infrastructure, Kubernetes controllers, Go, distributed systems, and production operations is $150,000-$210,000 USD, with an estimated midpoint of $175,000 USD; actual compensation may also include equity, bonus, or location-based adjustments. ## Core skills Skills and capabilities most closely associated with this opportunity. [Go](https://jobicy.com/jobs?search_keywords=Go.md)[Kubernetes](https://jobicy.com/jobs?search_keywords=Kubernetes.md)[Crossplane](https://jobicy.com/jobs?search_keywords=Crossplane.md)[Cloud Infrastructure](https://jobicy.com/jobs?search_keywords=Cloud%20Infrastructure.md)[Distributed Systems](https://jobicy.com/jobs?search_keywords=Distributed%20Systems.md)[Site Reliability Engineering](https://jobicy.com/jobs?search_keywords=Site%20Reliability%20Engineering.md)[Observability](https://jobicy.com/jobs?search_keywords=Observability.md)[Prometheus](https://jobicy.com/jobs?search_keywords=Prometheus.md)[OpenTelemetry](https://jobicy.com/jobs?search_keywords=OpenTelemetry.md)[Incident Response](https://jobicy.com/jobs?search_keywords=Incident%20Response.md) Sample interview questionsDescribe a Kubernetes controller you have built or operated. How did you handle reconciliation failures and API rate limits?I would describe the controller's desired and observed state model, use idempotent reconciliation, classify transient versus terminal errors, and apply bounded retries with backoff. I would also use work queues, client-side rate limiting, status conditions, and targeted metrics to identify hot loops, API throttling, and unhealthy resources. How would you investigate rising reconciliation latency across a multi-tenant control-plane service? I would begin with dashboards and traces to isolate whether latency is driven by API-server calls, queue depth, external provider calls, database dependencies, or a specific tenant. I would correlate logs and metrics by controller, resource type, and tenant, reproduce the issue where possible, then mitigate with capacity adjustments, concurrency tuning, rate-limit changes, or a focused code fix. What makes an effective production incident response process? An effective process establishes a clear incident commander, rapid customer-impact assessment, frequent concise communication, and parallel technical investigation with documented decisions. After recovery, I would lead a blameless review that identifies contributing factors, durable corrective actions, owners, and verification criteria. How do you design a service for observability and debuggability from the start? I define meaningful service-level indicators, structured logs with correlation identifiers, actionable metrics, distributed tracing, health signals, and safe diagnostic endpoints early in design. I also ensure alerts map to customer impact and that runbooks explain how to validate, mitigate, and escalate common failure modes. How would you balance a customer-requested feature with reliability and operational concerns? I would clarify the customer outcome, assess the design's failure modes and operational cost, and document tradeoffs in a design proposal. I would deliver iteratively behind appropriate safeguards, such as feature flags, validation, telemetry, and rollback plans, while communicating scope and reliability implications clearly to stakeholders. Upbound is redefining how modern infrastructure is built for the Agentic AI Era. We’re the creators and primary maintainers of Crossplane, and we’re building the Intelligent Control Plane—a new platform layer that makes infrastructure programmable, autonomous, and composable. Our mission is to power the AI-native enterprise with a foundational platform layer that helps teams provision, operate, and adapt infrastructure at scale—so platforms are ready for both humans and AI agents. We partner with leading cloud providers, ISVs, and open-source communities to help organizations move faster with greater confidence. Today, Upbound supports Fortune 500 companies and platform engineers across 100+ countries. Crossplane has surpassed 100M+ downloads and is used by 1,000+ teams worldwide. We’re a Series B company backed by GV (formerly Google Ventures), Altimeter Capital, and Intel Capital, and we’ve raised $69M to date. Learn more at [upbound.io](http://upbound.io/) Upbound is hiring a Senior Software Engineer to help us build and operate Upbound Spaces, the multiple control plane management software at the heart of the Upbound Platform. As part of the Spaces team, you will help us scale Upbound to reliably support thousands of control planes, while also extending enterprise control plane management and operations both in the cloud and on premises. Our team is expanding, and this is the perfect opportunity for you to make a significant engineering impact in both development and production operations. ### What You’ll Do * Actively build and operate Upbound Spaces in production, troubleshooting and resolving issues across multi-tenant SaaS environments, as well as contributing to Upbound’s open-source projects, including Crossplane. * Take ownership of building features in high demand by Upbound’s customers and deliver new functionality that will delight and amaze our users. * Investigate and debug complex issues in customer environments, including multi-control plane scenarios, resource reconciliation problems, and performance bottlenecks. * Communicate through thoughtful and thorough design documents for new initiatives and detailed post-incident reviews that drive system improvements. * Support the full project lifecycle for highly scalable and reliable services running in a cloud environment – discovery, analysis, architecture, design, review, documentation, building, migration, automation, deployment, production-readiness, and ongoing operational support. * Write and maintain Go code that interfaces with the Kubernetes API, such as operators, controllers, add-ons, etc., with a focus on observability, debuggability, and operational excellence. * Deploy, manage, and troubleshoot our Kubernetes services in production, using metrics, logs, and traces to identify and resolve issues quickly. * Build and maintain operational tooling for debugging customer environments, analyzing control plane health, and automating incident response. * Author documentation, user guides, runbooks, and blog posts to support and promote new features that you release. * Support the software release cycle for Spaces self-hosted distributions, including diagnosing issues in customer-managed deployments. * Participate in on-call rotation to support Upbound Cloud, responding to incidents and driving them to resolution. ### What You’ll Bring * Have experience operating production cloud services at scale: monitoring, alerting, incident response, post-mortems, and continuous improvement of service reliability. * Have strong debugging skills across distributed systems, including experience with observability tools (Prometheus, Grafana, OpenTelemetry, distributed tracing) and techniques for diagnosing issues in production environments. * Have experience building and operating controllers that interact with the Kubernetes API server, including troubleshooting reconciliation loops, managing API rate limits, and optimizing controller performance. * Are comfortable working directly with customers to understand, reproduce, and resolve complex technical issues in their environments. * Take responsibility and ownership for solving problems even if they are outside your lane, especially during incidents affecting customer workloads. * Demonstrate excellence in your work, constantly trying to improve your skills and the operational posture of the systems you build. * Have empathy for customers and keep them in mind as you build solutions, understanding that reliability and debuggability are features. * Realize the importance of clear communication and effective collaboration to work as a team, deliver great results, and support customers through technical challenges. * Help create a safe environment where everyone can contribute, learn from failures, share on-call knowledge, and help each other grow as operators and engineers. #LI-REMOTE ### Why Upbound? At Upbound, you’ll help shape the systems and strategies that drive predictable, scalable growth in a product-led company embracing usage-based models. If you’re excited to build from the ground up, work with cutting-edge cloud technologies, and directly impact how revenue is generated and scaled—this is your seat at the table. About Upbound Upbound is pioneering infrastructure platforms for the Agentic AI Era, serving Fortune 500 companies and platform engineers across more than 100 countries. The company empowers infrastructure and platform teams with Intelligent Control Planes – based on Kubernetes and Crossplane – that provision, operate, and adapt so platforms are ready for both humans and AI agents. Upbound is the creator and primary maintainer of Crossplane, the popular open-source framework for building cloud-native control planes, with over 100 million downloads and adoption by more than 1,000 teams worldwide. A Series B startup backed by GV (formerly Google Ventures), Altimeter Capital, and Intel Capital, Upbound has raised $69M to date. For more information, visit [www.upbound.io](http://www.upbound.io/). Show more [Apply now >](https://jobicy.com/jobs/152630-senior-software-engineer-7.md) > Annual salary information is not provided for this position. 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