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As a Senior Observability Platform Developer, you will create a resilient and scalable cloud-native monitoring stack leveraging open-source tools. Your role involves writing high-quality code, debugging, collaborating with a distributed team, and representing Canonical at conferences. You will work on monitoring applications in diverse cloud environments, fostering a great user experience.
As a Rust Engineering Lead at Canonical, you'll design and implement software in Rust, advocate for its adoption, debug and fix user issues, and contribute to the engineering process through reviews and collaboration. You will enhance the Ubuntu platform to support Rust development and engage in community discussions on technical specifications.
As a Python Engineer at Canonical, you will write and maintain high-quality Python software while collaborating with a distributed team. Responsibilities include debugging, technical documentation, and contributing to open-source community efforts. You will engage in global travel for company events.
As a Performance Engineer at Canonical, you will enhance software performance and correctness across teams, drive performance culture, and influence design through insights on the software stack. Responsibilities include collaborating on performance measurement tools, strengthening testing pipelines, and providing mentorship on performance strategies.
As an Engineering Manager at Canonical, lead a distributed team focused on developing Logging, Monitoring, and Alerting solutions. Oversee team operations, conduct code reviews, and foster a positive work environment while promoting healthy engineering practices and fulfilling project goals.
As the OpenStack Engineering Manager, you will lead a team focused on managed services for customer environments, ensuring quality and timely delivery while collaborating with various stakeholders. Your role will include process implementation and measuring team health indicators.
As a Senior Engineering Manager at Canonical, you will lead a distributed team of engineers working on essential components of Ubuntu. Your role involves planning, execution, and driving the adoption of best software development practices while collaborating with cross-functional teams. A deep understanding of Linux, demonstrated experience in software engineering, and exceptional leadership skills are key to success in this role.
As a Linux System Engineer at Canonical, you will focus on enhancing the quality of Ubuntu through automation and testing. You'll monitor quality indicators, troubleshoot issues, improve continuous integration processes, and develop automated test cases, while collaborating with various teams.
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The Engineering Manager at Canonical will lead a diverse team of engineers, providing coaching and mentorship while driving the execution of disciplined engineering processes. This role involves setting technical direction, engaging with stakeholders, and contributing to team growth and development. The manager will also measure team performance and promote effective engineering practices.
The Engineering Manager will lead a team to build scalable data solutions using Python and cloud technologies, manage expectations with stakeholders, foster a collaborative engineering culture, and contribute code as needed. Responsibilities include hiring, mentoring, and upholding high engineering standards.
The Cloud Engineering Manager will lead a team in the BootStack team responsible for managing the development and operations of cloud services, ensuring quality service delivery and focusing on team health and productivity. The role requires collaboration with various stakeholders and an emphasis on agile methodologies, as well as an understanding of complex distributed systems.
As a Containerization & Virtualisation Engineer at Canonical, you will focus on developing features for open source virtualisation and container technologies, collaborating with global teams, conducting security analyses, and writing high-quality code. Your role involves engaging with communities, optimizing performance benchmarks, and contributing to the advancement of cloud computing technologies.
As an MLOps Field Engineer at Canonical, you will help customers implement AI/ML solutions using open source technologies. This involves designing cloud infrastructure, collecting customer requirements, and delivering presentations on Ubuntu and AI/ML capabilities. You will work closely with sales and engineering teams to solve complex challenges in data architecture and deployment.
Oportun is seeking a Senior Software Engineer responsible for architecting and managing CICD platforms, source control systems, and test automation. The role requires strong understanding of SDLC, software security best practices, and experience with modern programming languages while working collaboratively in a team environment.
The Software Engineer II in Test will focus on developing and maintaining tools for Quality Engineers (QE) while ensuring software quality. Responsibilities include debugging test failures, collaborating with product teams, managing bugs, and utilizing various testing methodologies and tools.
The Data Catalog Lead will implement and maintain the enterprise data catalog solution, engage stakeholders, enhance features, monitor compliance with data governance policies, and serve as a subject matter expert. They will leverage AI for automation and ensure user-friendly access to data.
The SAP PI/PO Developer at Cencora is responsible for designing and supporting integration solutions, optimizing performance of SAP interfaces, and ensuring effective connectivity between SAP and legacy systems. The role involves troubleshooting, developing technical strategies for data integrations, and mentoring junior team members.
The Engineer II will collaborate with stakeholders to identify business problems, design data management solutions, and execute data analyses. Responsibilities include developing machine learning models, improving data quality, coding and debugging programs, and optimizing data platforms.
This role involves leading the development of AI/ML technologies and platforms, designing architecture, implementing infrastructure, collaborating with various teams, managing project roadmaps, and driving the technical vision and strategy of AI/ML within the organization. Additionally, it encompasses mentoring engineering teams and ensuring continuous improvement in quality, security, and performance metrics.
As a DevOps Engineer at Amherst, you will build and configure infrastructure, manage CI/CD pipelines, support cloud environments, automate tasks, and collaborate with various teams to enhance operational efficiency.
The Salesforce QA analyst will drive innovation and quality assurance for Salesforce solutions, creating test plans, executing functional and regression testing, documenting results, and collaborating with cross-functional teams. They will support UAT and provide training for end users, enhancing testing processes and contributing to overall quality assurance efforts.
The Salesforce CRM Analytics Developer will architect and design analytics solutions utilizing Salesforce CRM data. Responsibilities include developing data models, creating interactive dashboards, integrating external data sources, implementing ETL processes, and providing training and support to end-users to facilitate data-driven decisions.
As a Lead Data Engineer at Cencora, you'll manage Microsoft Azure environments, design and develop scalable solutions, oversee cloud-based infrastructure, and lead a team of engineers. Your expertise will be critical in migrating services to the cloud, implementing IaC, and ensuring security and efficiency. Collaboration with IT teams to enhance operations is also key in this innovative role.
As a QA Automation Engineer, you'll ensure the quality of software releases by testing web and mobile applications, creating automated test cases, analyzing tests for efficiency, and improving quality processes. You'll collaborate closely with the development team throughout the entire development process and mentor junior members.
As a Backend Engineer at Jarvis ML, you will develop and improve machine learning infrastructure, design scalable applications, and tackle real-world large-scale problems while managing project priorities and deliverables.
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