Remote Artificial Intelligence Jobs in Bothell, WA

Overview The Silver Edge team brings the power of Azure to the edge for our customers, tackling some of the most complex and mission-critical challenges in cloud and edge computing. Our mission is to provide stellar customer service so that their mission can succeed. We support the new Azure Local product that brings cloud computing to local hardware. We're looking for a new member of our team that relishes solving complex, ambiguous problems at scale and is passionate about building resilient systems that matter. As a Site Reliability Engineer on the Silver Edge team, you will work on building out and ensuring the dependability of Azure Local services in 3 different sovereign clouds. You will be required to solve tough technical problems, and thrive in dynamic, sometimes chaotic environments. In this role, you will accelerate your career, deepen your expertise in sovereign cloud solutions and help implement the future of Azure edge solutions. We offer flexible work arrangements, including partial remote options, to support your best work. Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Responsibilities Primary Responsibilities • Support customer deployments and use of Azure Local and Azure Local disconnected operations. • Maintain Azure Service reliability including deployment, availability, security, performance and customer satisfaction for sovereign environments. Contributions to Development and Design * Leverages technical expertise in cloud technologies and specific products, as well as objective insights drawn from analyses of production telemetry data to suggest changes or add-ons to product features or the automation to improve the availability, security, quality, observability, reliability, efficiency, observability, and performance of product components or features supported by their team. * Engages with product engineering teams by participating code/design reviews, regular meetings, on-call rotations and incident responses throughout product development and operations cycles. Utilizes technical knowledge of systems/platforms and insights drawn from product engineering teams, security best practices, artificial intelligence (AI)/machine learning (ML), and telemetry analyses to suggest potential improvements in code base and designs across components and features of one or more products. Driving Operational Excellence * Leverages technical expertise and telemetry analysis alongside advanced artificial intelligence (AI) and machine learning (ML) algorithms across a range of components and/or features to identify patterns and opportunities to implement configuration and data changes for one or more platforms, systems, or products in production using code, tooling, and automation. * Independently writes code or scripts that automate the performance of scalable operations processes (e.g., monitoring, alerting, deploying products and updates) across components and features of products operating at scale. * Shares insights and best practices via documented artifacts that can be applied to improve development and operations of system, platform, or product components and features by participating in code/design reviews, incident drills and debriefs, and regular meetings, as well as interactions with more experienced SREs and members of product engineering teams. * Develops alerts and instrumentation across components and features to monitor product capacity, related security risk, and resource demands and analyze telemetry data using existing capacity planning models. Draws insights from analyses of capacity and resource data to optimize component and feature code to manage resources and capacity across limited range of use conditions and system parameters. * Independently uses existing tools and/or models to troubleshoot problems or flaws affecting the availability, security, reliability, performance, and/or efficiency of components and features, leveraging the artificial intelligence (AI) and machine learning (ML) capabilities. Proposes solutions that will resolve and prevent recurring issues and brings them to the attention of their Site Reliability Engineering (SRE) and/or product engineering teams. * Utilizes insights from performance and resource monitoring tools to identify whether there is a need to optimize the efficiency of component and feature code, or if changes to compute resources are required. Models the predicted effect of changes to code and/or compute resources across components or features to document the efficacy of proposed solutions. Proposes changes and drives implementation of solutions to identified performance and resource challenges. * Identifies opportunities to leverage existing tools and automation, including the safe deployment process (SDP), to enable product engineering teams to increase the velocity in which they can reliably and safely implement changes in production. Monitors the effects of changes across multiple components or features within a single platform or system. * Responds to incidents during regular on-call rotations by identifying the level of impact, troubleshooting issues, taking appropriate action to mitigate impact, and deploying appropriate fixes to resolve root cause(s). Notifies product teams and owners to major customer impacting issues and escalates resolution of highly impactful issues affecting multiple components or features to other engineers or engineering teams as needed. Communicates details and resolutions through post-mortem reports and review meetings. * Designs, develops, and maintains telemetry pipelines and monitoring tools that detail operations metrics (e.g., availability, reliability, performance, efficiency) of product components and features operating at scale. Independently performs analyses using existing tools and/or models to identify insights and shares them with product engineering teams to directly contribute to improvements in product development and/or operations. Monitors the impact of changes on operations metrics (e.g., Time-to-X). Technical Knowledge and Domain-Specific Expertise * Demonstrates expertise in distributed systems design, interactions between cloud technology layers and components, common dependencies at scale, and the code that defines infrastructures. Can identify and recommend configurations optimal of cloud technology solutions and modify the code base that defines systems or cloud technologies to improve the security, quality, reliability, and operability of supported products with minimal guidance from other engineers. * Researches and maintains an awareness in industry trends, advances in cloud technologies, new tools, and/or processes for maintaining and improving product availability, security, quality, observability, reliability, efficiency, observability, and/or performance. Contributes to the implementation of new solutions within their team by identifying ways they can be applied to solve persistent problems. * Develops technical expertise in the code, features, and operations of specific products as required to identify opportunities to improve product availability, security, quality, observability, reliability, efficiency, observability, and/or performance. Actively participates in on-boarding, code/design reviews, and regular meetings with engineering teams that develop and/or manage those products. Qualifications Required/minimum qualifications Master's Degree in Computer Science, Information Technology, or related field AND 1+ year(s) technical experience in software engineering, network engineering, or systems administration OR Bachelor's Degree in Computer Science, Information Technology, or related field AND 2+ years technical experience in software engineering, network engineering, or systems administration OR equivalent experience. Other Requirements: Security Clearance Requirements: Candidates must be able to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings: * The successful candidate must have an active U.S. Government Top Secret Clearance with access to Sensitive Compartmented Information (SCI) based on a Single Scope Background Investigation (SSBI) with Polygraph. Ability to meet Microsoft, customer and/or government security screening requirements are required pre-offer and post-hire for this role. Failure to maintain or obtain the appropriate U.S. Government clearance and/or customer screening requirements may result in employment action up to and including termination. Clearance Verification: This position requires successful verification of the stated security clearance to meet federal government customer requirements. You will be asked to provide clearance verification information prior to an offer of employment. Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter. Citizenship & Citizenship Verification: This position requires verification of U.S citizenship due to citizenship-based legal restrictions. Specifically, this position supports United States federal, state, and/or local United States government agency customers and is subject to certain citizenship-based restrictions where required or permitted by applicable law. To meet this legal requirement, citizenship will be verified via a valid passport, or other approved documents, or verified US government clearance. Preferred qualifications
Master's Degree in Computer Science, Information Technology, or related field AND 3+ years technical