Reliability Engineer III

ABOUT THE ROLE Mid level Software Engineer will be a member of the agile team which is responsible for design and development of scalable microservices for Peloton's core features across all platforms (Bike, Tread, Strength, and Digital). The Content AI Team is responsible for training and hosting various models in the domains of Natural Language Processing (NLP) and Automatic Speech Recognition (ASR). The candidate will be responsible for developing, testing, deploying, and monitoring microservices that specifically power features like search, voice, and subtitles, which are crucial for platform expansion and international growth. In addition to technical delivery, good communication skills are essential for providing updates to engineering leads and other stakeholders, such as Technical Program Managers (TPM). YOUR DAILY IMPACT AT PELOTON Develop and maintain business-critical APIs and services with a focus on high availability, low latency, security and scalability under guidance from senior engineers Effectively provide updates to the team leaders and participate in sprint planning and team meetings Write understandable, well-tested code with an eye towards maintainability and scalability Contribute to building reusable code, libraries, and patterns for use across teams Implement solutions to scale services while meeting business and product requirements, often under supervision Utilize production monitoring/profiling/tracing and load testing tools to discover bottlenecks and apply techniques such as data modeling, query optimization, and caching to address them Understand and implement industry best practices such as feature toggles, CI/CD, test automation, logging, and monitoring in order to ensure confidence in our release process Participate in on-call rotations and assist with incident response efforts to maintain system reliability YOU BRING TO PELOTON MS or BS degree in fields such as Computer Science, Engineering or Mathematics 3+ years of software devel

Location Details: At GoDaddy the future of work looks different for each team. Some teams work in the office full-time; others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely.​ Remote: This is a remote position, so you’ll be working remotely from your home. You may occasionally visit a GoDaddy office to meet with your team for events or meetings. About The Team.... Global Compute runs Optimised Hosting, GoDaddy's global platform for all customer hosting products. Squad R is the engineering team responsible for operating, scaling, and continuously improving the OpenStack-based clouds that power that platform. We treat reliability as an engineering problem: we automate toil away, we plan capacity ahead of demand, and we instrument everything so that we understand our systems before they surprise us. As an SRE III on the team, you'll be a senior technical contributor who others lean on for the hard problems. What you'll get to do... Operate and scale GoDaddy's cloud infrastructure, including our OpenStack-based hosting platform. You'll troubleshoot and improve services spanning compute, networking, and storage in large-scale production environments. Drive the OpenStack migration. Help move customer hosting workloads onto the platform safely — designing and executing migration tooling, validation, and rollback strategies that protect customer experience. Work within a large-scale global hosting environment supporting thousands of servers and customer workloads across multiple regions. Eliminate toil through automation. Build and maintain automation in Python and Puppet to replace manual operational work. Treat repeated manual effort as a bug to be fixed. Strengthen observability. Improve monitoring, alerting, and dashboards so that signal reaches the right engineer at the right time, and so that we can reason about system behavior from data. Participate in on-call and incident response. T

We anticipate the application window for this opening will close on - 9 Oct 2026 Careers that change lives start here. Medtronic is a global leader in healthcare technology with a Mission to alleviate pain, restore health, and extend life. Our 95,000 employees work across more than 150 countries to put patients first — developing innovative medical technologies that improve the lives of 72+ million patients each year. Your unique talents will help shape the future of healthcare while building a career grounded in purpose, growth, and impact. A Day in the Life The Process Engineer II will support the development of manufacturing processes and battery designs for New Product Development at the Medtronic Energy and Component Center (MECC) for Cardiac Rhythmn Management (CRM) business. MECC supports the design, development, and production of power components used in implantable devices. At Medtronic, we bring bold ideas forward with speed and decisiveness to put patients first in everything we do. In-person exchanges are invaluable to our work. We are working onsite a minimum of 4 days per week as part of our commitment to fostering a culture of professional growth and cross-functional collaboration as we work together to engineer the extraordinary. This role will require less than 10% travel to enhance collaboration and ensure successful completion of projects. Responsibilities may include the following and other duties may be assigned: Work with cross-functional teams including Design, Operations, Quality, and Reliability to develop processes for batteries in a regulated industry; ensure processes and designs are compatible and in compliance with regulations Contribute to the innovation, development and/or optimization of new manufacturing concepts, processes and procedur

Role Purpose: At Jumio, the Software Engineer II (QA) will focus on ensuring the quality and performance of highly scalable web and backend applications. In this role, you will design and implement automated tests for web (Playwright/Selenium) and API-based solutions, leveraging your knowledge of Java or JavaScript. Collaborating closely with development and product teams, you will ensure Jumio's products meet the highest standards of quality and reliability. You’ll have an opportunity to learn and grow in a fast-paced environment while exploring new tools and methodologies. A problem-solving mindset, willingness to innovate, and attention to detail will make you successful in this role. T-Shaped Engineering Expectation: As part of Jumio’s engineering culture, you will adopt a T-shaped engineering approach. In addition to developing expertise in test automation and quality engineering, you will collaborate across the development lifecycle, including understanding software architecture, contributing to design discussions, and ensuring robust and scalable test solutions. Role Value: This role is critical to ensuring the reliability, scalability, and security of Jumio’s products. By building and maintaining automated testing frameworks, you will enable faster releases and higher confidence in the quality of our software. Example Responsibilities: Develop, maintain, and execute automated test scripts for web applications using Playwright, Selenium, or similar automation frameworks. Create and execute API test suites using tools such as Postman, REST Assured, or equivalent testing frameworks. Design and execute functional, regression, integration, and exploratory test cases based on business and technical requirements. Validate application functionality, backend services, APIs, and data flows across different environments. Identify, document, track, and verify defects, working closely with developers to ensure timely resolution. Execute automated test suites as part of C

About the Team OpenAI’s Applied AI Engineering team helps organizations turn frontier AI capabilities into safe, reliable, and high-impact production systems. We work with customer executives, product and engineeriIng teams, security leaders, and transformation teams to identify valuable opportunities, accelerate technical implementation, and scale what works. Enterprise deployments are defined by complexity rather than any one industry: existing architectures, diverse data environments, security and governance requirements, multiple stakeholder groups, and organization-wide change. We turn lessons from these deployments into better products and reusable patterns for customers everywhere. About the Role As an Enterprise Applied AI Engineer you will partner directly with leading organizations to design, build, and deploy AI systems that deliver measurable business outcomes. You will combine deep technical judgment, hands-on engineering, and customer leadership to take ambitious ideas from use-case selection and architecture through prototyping, evaluation, production launch, and scale. You will write and debug code, build evaluation systems, resolve complex integrations, and guide decisions involving model behavior, reliability, latency, cost, safety, security, governance, and operational readiness. Success is measured by production systems, sustained adoption, and meaningful customer impact—not simply activity or successful demonstrations. This is a rare opportunity to work on consequential real-world deployments at the frontier of AI while directly influencing how OpenAI’s products evolve. This role is based in our SF or NYC office. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Partner directly with enterprise customers to identify high-value opportunities and translate them into technical architectures, implementation plans, evaluation strategies, and measurable success criteri

About the Team DoorDash Labs, established in 2018, serves as the innovation hub for DoorDash, focusing on developing automation and robotics solutions to enhance last-mile logistics. The team's mission is to create technologies that support and augment human networks, aiming to improve efficiency for Dashers, merchants, and consumers alike. We’re ruthlessly focused on business impact. We are a highly senior team composed of former pioneers from a variety of different robotics industries. As of 2025, DoorDash has completed 10B lifetime deliveries. We’re focused on how to do the next 10B even better. About the Role We are seeking a highly motivated Senior Reliability & Test Engineer to join our team. This individual will play a key role in the development and validation of our unmanned platforms at the system and component levels. You will partner closely with EE, ME, and Autonomy teams to translate mission needs into robust, reliable hardware. The ideal candidate thrives in a fast-moving, cross-functional environment where reliability and test rigor determine program success. You will be hands-on in developing test methods and equipment to uncover failures before they happen in the field. You will partner closely with EE, ME, and Autonomy teams to translate mission needs into robust, reliable hardware. The ideal candidate thrives in a fast-moving, cross-functional environment where reliability and test rigor determine program success. You’re excited about this opportunity because you will… Architect and implement rigorous validation strategies, utilizing Python scripts for automation while leveraging CAD and shop tools to engineer bespoke test fixtures and hardware rigs. Oversee experimental execution across internal facilities and external laboratories, maintaining technical mastery over vibration tables, environmental chambers, DAQ systems, and ingress protection testing. Translate high-level vehicle reliability requirements into granula