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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Software Engineer, Cloud Platform - **Company:** Zilliz Inc. - **Location:** Redwood City, CA, United States - **Experience:** Expert - **Salary:** $175,000.0 - $225,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Software as a Service, Cloud Computing, Cloud Foundry, Code Generation, Databases, Software Debugging, Distributed Data Store, Octopus Deploy, Prometheus, Software Engineering, Database Engines, Cloud Platform System, Grafana, Multi-Cloud, Build Management, Kubernetes, Infrastructure Automation Frameworks, Information Technology, Data Management, Terraform, Docker, Microservices - **Published:** June 24, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=6e4552dba6a06340 ## About the Role Do you have experience in Production systems?, Do you have a Bachelor's degree?, * 3+ years of experience building production systems such as large-scale SaaS platforms, data platforms, AI applications, microservices, or cloud infrastructure * Bachelor's degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience * Strong hands-on experience with Kubernetes, Docker, and at least one major cloud platform such as AWS, GCP, or Azure * Familiarity with infrastructure automation and cloud operations tooling such as Terraform, Helm, Argo CD, Prometheus, Grafana, CI/CD systems, or similar tools * Experience building cloud-native platform systems is a strong plus, including scheduling, orchestration, deployment, configuration, upgrades, lifecycle management, or resource management * Understanding of distributed databases or database engine internals is a strong plus, especially around scalability, performance, reliability, and multi-tenant isolation * Strong interest in AI-assisted development and engineering productivity. We value engineers who actively use AI to multiply their output across coding, debugging, testing, documentation, and operations ## Description This is not a standard control-plane platform role. You will work across both the cloud platform and database runtime, building cloud-and-engine integrated systems around Vector Lakebase so AI workloads can be scheduled faster, run more reliably, and serve real customers more efficiently., * Design and build the cloud platform behind Zilliz Cloud and Vector Lakebase, bringing together cloud control plane, database runtime, scheduling, resource management, deployment, and lifecycle management to support fast workload placement, elastic scaling, multi-tenant isolation, and cost-efficient execution * Build cloud-native systems that make distributed database provisioning, scaling, upgrades, recovery, and workload migration automated, observable, rollback-safe, and efficient * Work deep across Kubernetes, multi-cloud infrastructure, networking, storage, and database engine runtimes to deliver a tightly integrated cloud-and-engine product experience * Improve platform scalability, reliability, performance, and operational simplicity as we grow across customers, regions, tenants, datasets, and AI workloads * Partner with database, reliability, and product engineers to bring new Vector Lakebase capabilities into cloud production safely and quickly * Use AI deeply across the platform engineering workflow, including deployment validation, diagnosis, incident analysis, capacity planning, documentation, code generation, and operational tooling, AI-first engineering: We actively use AI to improve coding, testing, documentation, diagnosis, and operations, but human engineering taste still matters most Fast and focused: We ship often while keeping a high bar. This team suits engineers who want speed, autonomy, and a steep growth curve Global collaboration: We work closely with engineering teams across APAC and the US, designing collaboration around timezone coverage to support customers globally ## Related Videos - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [5 steps for running a Kubernetes environment at scale](https://www.wearedevelopers.com/videos/88-5-steps-for-running-a-kubernetes-environment-at-scale) - [Infrastructure as Code: The Developer's Secret Weapon](https://www.wearedevelopers.com/videos/1221-infrastructure-as-code-the-developer-s-secret-weapon) - [Empowering Thousands of Developers: Our Journey to an Internal Developer Platform](https://www.wearedevelopers.com/videos/1519-empowering-thousands-of-developers-our-journey-to-an-internal-developer-platform) - [Docker build without Docker](https://www.wearedevelopers.com/videos/100114-docker-build-without-docker) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [7 Cloud Computing Trends Coming in 2025 for Developers](https://www.wearedevelopers.com/magazine/412-7-cloud-computing-trends-coming-in-2025-for-developers) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline) - [Fully Remote Software Engineer Jobs](https://www.wearedevelopers.com/magazine/447-fully-remote-software-engineer-jobs) - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers)