As a Senior Site Reliability Engineer at Regrello, you'll shape the developer platform, collaborate with customers, and ensure the reliability and security of infrastructure and applications.
Company
Regrello is a 40-person startup reimagining automation in supply chains, in which companies still communicate about $13T of annual shipments almost entirely via email. This is a $220-billion, Amazon-sized market opportunity that’s been largely overlooked for over 20 years. Our team has experience building billion-dollar companies and includes veterans from Oracle, Palantir, Apple, Amazon, and Microsoft. Our customers include some of the largest electronics manufacturers in the world, all of which are hungry for us to succeed. Regrello has been funded by Andreessen Horowitz, Tiger Global, Dell, Bloomberg, and Ram Sriram (first investor in Google).
Product
We are building a global operating network that finally enables supply-chain companies to collaborate within one platform. Our workflow engine empowers non-technical industry experts to model their complex manufacturing and operational processes. Our forms engine enables unprecedented data exchange between companies. And our upcoming AI engine can generate entire new processes and summarize the complex goings-on across thousands of workflows, identifying inefficiencies and driving optimization as companies react to a constantly-shifting global landscape. Quote one user: ”I’ve been waiting for this for 20 years.”
Role
SRE@Regrello's customers aren't just internal teams: operating and deploying Regrello are part of the product, and the processes and tools we build are shared with many of our customers. As an SRE you will have the opportunity to shape our developer platform, work directly with customers, and architect solutions that balance the rigorous security and reliability requirements of global enterprises with the speed and flexibility of a rapidly growing series A organization.
Some of the projects the team is working on include: becoming cloud-neutral by turning all application infrastructure clients into plugins, helping our AI team manage GPU infrastructure to train new foundational models, and applying changes to our architecture to increase reliability.
Culture and Compensation
We are a customer-obsessed, product-driven company that is building a flexible, hybrid/remote culture to enable the brightest minds in the industry. We are particularly interested in candidates based in our hubs of Seattle, San Francisco, and New York, but we will consider candidates who live anywhere in the US, Canada, or Mexico. We have industry-leading compensation packages, including equity and health benefits. We are willing to sponsor US work authorization if needed.
Requirements
- Bachelor’s degree in Computer Science or a related field.
- 4-8 years of experience in site reliability, software engineering, or a related role.
- Strong understanding of software development lifecycle (SDLC) and Agile methodologies.
- Experience with CI/CD tools such as Github Actions, GitLab CI, or CircleCI.
- Proficiency in scripting languages for automation tasks.
- Fluency with cloud platforms (AWS, Azure, GCP), kubernetes, feature flags, and modern backend technologies (experience with Go is strongly preferred, with the ability to quickly learn new technologies as needed).
- A builder's spirit (you have a track record of building projects for fun, staying updated with open-source developments, etc.)
- Excellent problem-solving and communications skills, and attention to detail, with the ability to work effectively in a remote team environment.
Responsibilities
- Contribute to SRE-owned portions of application codebases related to infrastructure clients, SaaS clients, observability, and reliability patterns.
- Contribute to the developer platform interfaces to enable a growing number of engineers, microservices, and environments (helm charts, CI platform, and deploy processes).
- Advocate for new tools and processes that will help Regrello grow.
- Take part in on-call rotations.
- Collaborate with cross-functional teams, including Development, QA, Product Management, to ensure successful releases.
Stack
- GCP: GKE, CloudRun, Memorystore, CloudSQL, BigQuery
- Kubernetes: helm, helmfile
- Automation: Terraform, shell
- Queue: Temporal, Machinery, Celery
- Launchdarkly
- Otel / Prometheus / Grafana / Splunk
If you are passionate about improving software release processes and want to be part of a team that is transforming the supply chain industry, we would love to hear from you.
Regrello San Francisco, California, USA Office
San Francisco, California, United States
Similar Jobs
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Lead and scale multidisciplinary engineering teams to deliver cloud-native, AI-enabled enterprise applications and data platforms. Own architecture, modernization, DevOps/MLOps, observability, and AI adoption (RAG, vector DBs, conversational AI). Partner with executives and cross-functional teams to define roadmaps, ensure reliability, and drive engineering excellence and organizational growth.
Top Skills:
.NetAWSAzureCi/CdCloud-Native Application ArchitecturesData LakehouseDatabricksDevOpsDistributed Data Processing PlatformsEvent-Driven ArchitecturesFlinkGoogle Cloud PlatformJavaKafkaMicroservicesMlopsOraclePower BIPythonRest ApisSparkSQLSQL Server
Blockchain • Fintech • Payments • Financial Services • Cryptocurrency • Web3
Design, build, and operate secure, scalable Kubernetes platforms and infrastructure as code (Terraform). Develop backend services and automation (Go, Python, JS/TS), improve CI/CD and observability, run on-call and incident response, define SLIs/SLOs and disaster recovery, embed security and compliance, mentor team members, and partner with product and engineering to raise reliability, performance, and cost-efficiency across hybrid and public-cloud environments.
Top Skills:
Ci/CdGitopsGoJavaScriptKubernetesPythonTerraformTypescript
Cloud • Software
Design, deploy, and operate large-scale, multi-region cloud-native services to improve reliability, performance, and security. Partner with application teams to build automation, run SLO-driven incident response and on-call rotations, leverage Kubernetes and CNCF tooling, and implement scalable operations, chaos and scale testing, and infrastructure-as-code for a resilient SaaS platform.
Top Skills:
ArgocdAWSGoKubernetesLinux/UnixOpentelemetryPrometheusPythonService Mesh
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
