Database Administrator responsible for migrating Oracle, Microsoft SQL Server, and PostgreSQL databases to Azure, ensuring data integrity, performance, and high availability.
As a Senior Test Engineer, you will be responsible for validating the functional reliability and performance of our connected camera fleet across the entire hardware-to-cloud ecosystem.
Compensation
Estimated Annual Pay Range
$150,000—$220,000 USD
Responsibilities
Execute structured system validation test plans for release candidates to ensure core firmware functionality, network resilience, and seamless cloud connectivity
Perform augmented and exploratory testing on new camera features, focusing on hardware-software integration
Run repeated stress and longevity tests to identify memory leaks, thermal bottlenecks, and overall system degradation over time
Write, maintain, and execute automated test scripts (primarily in Python) to run against physical hardware in our test lab
Automate critical regression test cases to increase coverage and reduce manual testing cycles for weekly/monthly firmware OTA releases
Design, automate, and deliver network changes for Amazon fulfillment centers worldwide, ensuring minimal downtime and scalable automation across a global fleet.
Compensation
USA, WA, Bellevue - 136,000.00 - 184,000.00 USD annually
Responsibilities
Design and test network architectures for hardware refreshes and automate capacity upgrades across a global fleet of sites
Build and improve automation for configuration generation, pre- and post-change validation, and deployment
Plan and run large hardware replacements and migrations with little or no downtime for the building
Write change plans and runbooks, and help define which changes are low-risk enough to deploy automatically
Troubleshoot complex issues across LAN, WAN, and wireless, and turn recurring problems into automated fixes or checks
Lead the deployment and integration of Enterprise AI solutions across corporate applications, databases, and business systems, focusing on building autonomous agentic workloads.
Compensation
Salary Base: $186,000 - $215,000 salary, commensurate with experience
Responsibilities
Architect and integrate Enterprise AI platforms directly into business systems, proprietary applications, databases, and core corporate resources to enable autonomous agentic workflows.
Design, deploy, and automate middleware servers to securely bridge data flow between secure and non-secure networks across hybrid cloud and on-premise environments.
Develop, automate, and maintain secure API integrations and database connections (SQL, NoSQL, vector databases) that allow AI agents to safely query, process, and act upon corporate data.
Automate the provisioning of integration layers, middleware, and network boundaries using tools like Terraform or Ansible.
Build and optimize pipelines specifically tailored for deploying AI models, automation scripts, and system integrations while enforcing shift-left security baselines.
Requirements
Bachelors degree in Computer Science
Bachelors degree in Applied Mathematics
Bachelors degree in Mechatronics/Robotics Engineering
Nice to have: Business Systems Integration (HRIS, ERP, MES)
An HPC Systems Engineer to administer and manage HPC clusters, storage systems, and high-speed networks, providing application support to SpaceX personnel across engineering disciplines.
Responsible for the engineering of Cloud Infrastructure Platforms to provide robust, reliable and cost-efficient Platform so that we can deliver the best experience for our growing customers base.
Compensation
Annual salary paid in 12 installments (monthly) Based on skills, experience, and abilities Reviewed once a year Late overtime allowance
Responsibilities
Architect and build a robust, scalable and stable infrastructure
Architect and build Infrastructure that is easily maintainable during patching and upgrades without downtime
Architect and build Infrastructure with AWS regional level failure tolerance
Work together with our Security Engineers to provision a secure Infrastructure
Automations for AWS Deployments to ensure fast delivery of Cloud Services to our developers
Requirements
Bachelor’s degree and above in a Computer Science related field
Nice to have: AWS Professional or Specialty certification
Senior big data engineer to build world‑class data platforms/products at a very large scale across multiple cloud environments running on S3, Kafka, Flink, Spark, LLMs and AI/ML.
Responsibilities
Automate processes and document them for others
Provide incident resolution for all technical production issues
Create and maintain accurate, up-to-date documentation
Write justifications, training materials, status reports, and procedures
Interact with Apple staff and management
Requirements
Bachelor's in Computer Science or Computer Engineering or equivalent work related experience
Nice to have: MS in Computer Science or equivalent with 5+ years of overall industry experience
Nice to have: CI/CD practices
Nice to have: open-source software development
Nice to have: automation and engineering processes
Join the Server Certification team to develop Python based testing tools used to test Ubuntu Server on the latest enterprise hardware, ensuring a smooth, secure out of the box Ubuntu experience.
Responsibilities
Contribute to Canonical’s open source testing tools such as Checkbox and Testflinger
Troubleshoot issues related to hardware compatibility, functionality, and performance
Technically support Canonical’s hardware partners in their hardware certification efforts
Educate the partner about Canonical’s tools, processes, and product roadmaps
Support Canonical’s internal teams on customer deployments of Canonical’s suite of Datacenter and Cloud products that utilize the partner’s hardware
Requirements
Nice to have: test automation tools for validating hardware compatibility
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