> Markdown version of [/jobs/ext/1376502-senior-backend-cloud-engineer](https://www.wearedevelopers.com/jobs/ext/1376502-senior-backend-cloud-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Backend Cloud Engineer - **Company:** Inc. (kai) - **Location:** San Jose, CA, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Amazon Web Services, Automation of Tests, Microsoft Azure, Cloud Computing, Cloud Engineering, Cyber Security, Continuous Integration, Distributed Systems, Amazon DynamoDB, Fault Tolerance, Github, Identity and Access Management, Python (Programming Language), SQL Azure, Role-Based Access Control, Azure Active Directory, Cloud Services, Data Streaming, Software Organization, Cloud Platform System, Backend, Amazon Relational Database Service, Infrastructure Automation Frameworks, Bicep, Apache Kafka, Build Tools, Cosmos DB, Api Gateway, Terraform, Software Version Control, Data Pipelines, Api Management, Serverless Computing, Golang, Microservices - **Published:** July 22, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=5b364f163b51ae91 ## About the Role * 7+ years of experience as a cloud or backend engineer * Experience designing and building microservices in a production cloud environment * Strong understanding of distributed systems - fault tolerance, consistency, and scalability at production scale * Strong experience designing APIs and building asynchronous systems with robust error handling * Hands-on experience with AWS, including serverless and cloud-native architectures * Experience with Azure services and Infrastructure as Code tools, such as API Management, Azure Functions, Azure SQL Database, Cosmos DB, Azure Active Directory, or Bicep/Terraform * Familiarity with data pipelines and cloud-native data streaming tools such as Kinesis * Strong Python experience for backend services, automation, and tooling * Golang development experience for backend services * Experience with AWS services and Infrastructure-as-Code tools, such as API Gateway, Lambda, RDS, DynamoDB, IAM, and CDK * Knowledge of observability, tracing, and system performance best practices for distributed backend systems * Excellent communication skills and the ability to collaborate with distributed teams Nice to Haves, * Experience with data streaming tools such as Kafka * Experience operating at scale - high-throughput, data-intensive, or large-scale distributed systems * Cybersecurity domain experience - IAM, access control, security-adjacent products, or experience building for security teams * Designing access control systems, such as Role-Based Access Control (RBAC) * Experience with version control, CI/CD, and build systems (e.g., GitHub Actions) * Familiarity with compliance and security standards such as ISO 27001, SOC 2, GDPR, or CPRA in cloud environments * Startup experience and hustle Why You'll Succeed * You take ownership end-to-end - from architecture and design through deployment and production support * You move fast without breaking things - high-velocity delivery with a track record to prove it * You can mentor and elevate the engineers around you * You thrive in ambiguity and can independently execute complex tasks with minimal direction ## Description * Collaborate with cross-functional teams, building cloud backends and data pipelines * Design, build, and own microservices and distributed backend systems from architecture through deployment and production operations * Lead technical delivery from architecture and design to implementation, testing, deployment, and operations * Work with product and design teams to deliver performant and reliable backend services and APIs * Champion software development best practices, including CI/CD, Infrastructure as Code, observability, and test automation * Ensure reliability, scalability, and maintainability of backend and cloud systems at production scale * Mentor engineers and foster a culture of ownership, learning, and continuous improvement within the engineering team ## Related Videos - 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