Senior Backend Cloud Engineer

Inc. (kai)

San Jose, CA, United States

3 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

7 years minimum

Working hours

Regular working hours

Job source

www.indeed.com

Tech stack

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

+24 more

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

Job 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

Requirements

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