Troubleshooting Jobs in United States

We are seeking a skilled Mid-Level Data Engineer to design, build, and optimize scalable data pipelines and architectures. The ideal candidate will have strong experience in data processing, ETL development, and cloud-based data platforms, supporting data-driven decision-making across the organization.

Design and develop microservices using Go that power our AI cloud platform`s core functionalityBuild and maintain Kubernetes-based infrastructure for container orchestration and workload managementImplement and optimize cloud native solutions for scalability, reliability, and performanceContribute to code reviews, technical documentation, and knowledge sharing within the engineering teamExplore and integrate emerging cloud native technologies like Volcano, Prometheus, and service mesh solutionsDesign distributed systems architecture for high-availability AI workload processingCollaborate with DevOps and SRE teams to ensure production reliability and monitoringLeverage AI-assisted coding tools (GitHub Copilot, ChatGPT, Cursor IDE, etc.) to boost productivity and code qualityYou`ll thrive here if you7+ years of software engineering experience with focus on distributed systems and cloud native technologiesStrong proficiency in Go with deep understanding of concurrency patterns and standard librariesFamiliarity with Python or other backend languages for polyglot development environmentsHands-on Kubernetes experience including development, deployment, and maintenance of production clustersSolid understanding of microservices architecture design patterns and implementation best practicesExperience with containerization technologies (Docker, containerd) and container runtime optimizationProblem-solving mindset with ability to independently design and implement complex system componentsStrong collaboration and communication skills for working in cross-functional teamsExperience using AI-assisted coding tools and willingness to integrate them into development workflowBonus qualificationsFamiliarity with cloud native ecosystem tools such as Prometheus, Grafana, Volcano, or service mesh technologiesOpen source contributions to cloud native projects (Kubernetes, CNCF ecosystem)Experience with large-scale Kubernetes cluster operations and troubleshooting in production environmentsKnowledge of microservices architecture patterns including circuit breakers, service discovery, and distributed tracingKnowledge of Mandarin.

Were offering a competitive salary of $15,000 to $18,500 a month for our next Software Engineer!Total Shape is looking for that awesome someone to design, develop, test and deploy software solutions that meet the needs of our business and customers. You will be working with the latest technologies and collaborating with cross-functional groups to deliver quality products and services. Benefits: Health Insurance Performance bonus Paid leave Flexible work arrangements with possibility of work-from-home good for single parents, women, minorities, etc.To apply, please follow these instructions:Search on Google for Total Shape then go to our Jobs page from the homepage. This is a test to see how well you follow instructions, given that we have hundreds of applicants competing for the position.Once you reach the Jobs page, fill out the Google Form there. Upload the CV in PDF format using the Google Form.We will contact you if we believe youre a good fit. But if you get no response within two (2) weeks, feel free to follow up by sending an email to our careers email with the subject line in this format: Position Applied For - Total Shape.* Due to the large volume of applications we receive, we will only reply to those we deem qualified for the positions applied for.We will not reply to messages sent to our social media accounts about job applications -- all communications from us will only be sent via email.If you don't receive a message, please feel free to re-apply after 6 months to another opening suitable for you in our company. *Your responsibilities will include: Analyzing user requirements and translating them into technical specifications Developing, testing and deploying software applications and systems in a variety of programming languages and frameworks Implementing best practices and standards in software engineering, code quality, performance, security, and documentation Troubleshooting

Design and develop microservices using Go that power our AI cloud platform`s core functionalityBuild and maintain Kubernetes-based infrastructure for container orchestration and workload managementImplement and optimize cloud native solutions for scalability, reliability, and performanceContribute to code reviews, technical documentation, and knowledge sharing within the engineering teamExplore and integrate emerging cloud native technologies like Volcano, Prometheus, and service mesh solutionsDesign distributed systems architecture for high-availability AI workload processingCollaborate with DevOps and SRE teams to ensure production reliability and monitoringLeverage AI-assisted coding tools (GitHub Copilot, ChatGPT, Cursor IDE, etc.) to boost productivity and code qualityYou`ll thrive here if you7+ years of software engineering experience with focus on distributed systems and cloud native technologiesStrong proficiency in Go with deep understanding of concurrency patterns and standard librariesFamiliarity with Python or other backend languages for polyglot development environmentsHands-on Kubernetes experience including development, deployment, and maintenance of production clustersSolid understanding of microservices architecture design patterns and implementation best practicesExperience with containerization technologies (Docker, containerd) and container runtime optimizationProblem-solving mindset with ability to independently design and implement complex system componentsStrong collaboration and communication skills for working in cross-functional teamsExperience using AI-assisted coding tools and willingness to integrate them into development workflowBonus qualificationsFamiliarity with cloud native ecosystem tools such as Prometheus, Grafana, Volcano, or service mesh technologiesOpen source contributions to cloud native projects (Kubernetes, CNCF ecosystem)Experience with large-scale Kubernetes cluster operations and troubleshooting in production environmentsKnowledge of microservices architecture patterns including circuit breakers, service discovery, and distributed tracingKnowledge of Mandarin.