Lead high performing API, Backend, Data and Cloud Engineering team
Adopt a ‘Design to Run’ mentality to architect robust solutions that are fully supportable in a production environment
Provide developmental advice and consult for business case/ideation, discovery, inception and enhancement requests by examining current vs target architectures ensuring align with ES strategy and architecture standards
Collaborate with Solution Architecture and functional SME’s to prototype solutions to explore alternatives, seeking simple & standard solutions with a low cost of ownership
Trusted advisor and cloud operations architect for Enterprise Support customers, driving adoption and operational health of AWS services.
Responsibilities
Build solutions and provide technical guidance to customers
Ensure AWS environments remain operationally healthy while reducing cost and complexity
Develop trusting relationships with customers to understand their business needs and technical challenges
Drive technical discussions regarding incidents, trade-offs, and risk management
Consult with partners from developers to C-suite executives
Requirements
Nice to have: Experience with AWS services or other cloud offerings
Nice to have: Experience in internal enterprise or external customer-facing environment as a technical lead
Nice to have: Experience as a technical account manager, consultant, solutions architect, platform engineer, systems engineer, cloud architect or similar role
An experienced Principal Engineering Architect to help shape the architecture of Dotmatics Luma, our next-generation, multi-tenant, AI-powered data management and workflow automation platform for multimodal scientific discovery. The role involves designing and refining AWS systems to deploy Luma efficiently to customers.
Compensation
Base Pay Range $173,400—$234,600 USD
Responsibilities
Support and drive the end-to-end architecture of Luma, from instrument connectivity and data ingestion through to the platform services and AI agent experience
Influence technology choices for the platform
Design solutions that are enterprise scalable and maintainable, with the data isolation and auditability that regulated scientific customers
Collaborate on architectural principles, frameworks, best practices, and standards
Drive strategic technology initiatives with Product Managers, other Architects, and Engineers
Requirements
BSc in Computer Science
Nice to have: Instrument integration and scientific data ingestion
Shape the future of Amazon Web Services (AWS) customer experience by improving service performance, enhancing a complex multi-cloud framework to orchestrate, run, and analyze performance benchmarking workloads.
Compensation
USA, WA, Seattle - 143,700.00 - 194,400.00 USD annually
Responsibilities
Design and build infrastructure and automation to execute performance benchmarks across AWS services
Own benchmark lifecycle from scoping, to execution, to delivery of findings and recommendations to AWS leadership
Work with stakeholders across service teams to define customer-critical performance metrics
Analyze results and create recommendations that directly impact AWS service improvements
Collaborate with multiple teams to continuously raise the bar on AWS service performance
Requirements
Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
Nice to have: full software development life cycle
Join the Apple Ads Engineering team and help build an advertising platform that benefits both customers and advertisers. In this role, you will design, develop, and launch the highly-performant, internet-scale backend systems that select and deliver the right ads in real time.
Responsibilities
Design, develop, and operate the distributed services that make real-time ad selection possible at Apple.
Architect and build low-latency, high-availability, high-throughput ad-serving systems in a cloud environment.
Engineer secure and scalable data processing pipelines that operate on petabyte-scale datasets.
Implement performant services that handle very high data volumes and QPS.
Work cross-functionally to ensure that optimal and correct ads are available for real-time selection.
Requirements
Bachelor's degree in Computer Science or equivalent experience
Design and deliver AI-powered features for AWS documentation authoring, build and maintain high-quality code, and collaborate with product and service teams to improve documentation quality and authoring speed.
Compensation
USA, NY, New York - 158,100.00 - 213,800.00 USD annually
Responsibilities
Design and deliver AI-powered features for AWS documentation authoring, from working backwards with customers through deployment and operations.
Write high-quality, well-tested code that meets the Amazon Code Bar, using AI coding tools with judgment and owning the result.
Build evaluations and guardrails that measure and improve the accuracy of AI-generated content.
Measure whether the features you ship improve documentation quality and authoring speed for service teams.
Design solutions to difficult problems, seeking guidance to align with the team's long-term architecture.
Requirements
Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field
Nice to have: Full software development life cycle experience
health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
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