Senior Software Engineer, DevOps
Experience: 5+ years
Salary :Competitive
Expected Notice Period: 2 to 4Weeks
Shift: 5:00PM to 1:00AM IST
Opportunity Type: Remote
PlacementType: Permanent
CompetitiveExpected Notice Period: 2 to 4WeeksShift: 5:00PM to 1:00AM ISTOpportunity Type: RemotePlacementType: Permanent(*Note: This is a requirement for one of Uplers’Partners)What do you need for this opportunity?Primary Skills:AWS Sagemaker, Gcp Vertex, GoogleCloud, Kubeflow, Ml Architectures And Lifecycle, Pulumi, Seldon,Infrastructure As Code, Terraform, AWS, Azure, Docker, Kubernetes, Linux,PythonAssessment: Role based AI Screeningcovering Communication and Technical SkillsOur Hiring Partner is Looking for:Senior SoftwareEngineer, DevOps who is passionate about their work, eager to learn andgrow, and who is committed to delivering exceptional results. If you are ateam player, with a positive attitude and a desire to make a difference,then we want to hear from you.Roles & ResponsibilitiesAboutYouYou are a detail-oriented, self-directed person whoenjoys creating infrastructure-as-code. You are excited about the prospectof working across a broad array of DevOps concerns, including automatingdeployment and scaling of traditional web architectures, and ML pipelinesfor our AI systems. You will also help build and manage CI/CD pipelines andmonitoring and observability infrastructure, and keep our infrastructuresecure. Maybe youve worked on big projects before/for a big company, or perhapsmany small consulting projects where standard infrastructure was needed, ormaybe even a startup where you were turning ideas into working softwareplatforms. You are ready for a fresh challenge – to be the personthat defines what DevOps and deployment looks like at a fast-growing, AI-and robotics-centric company. You love test-driving new technologies, andyou like the challenge of incorporating them into your organization in asecure, sustainable way. Joining a startup, you are excited to collaborate with our customers andacross our team to understand their needs and have a profound positiveimpact on us and our customers.What Youll DoLaunch or own specific technology or process initiatives within ourorganization.Collaborate across teams, and with our customers when the opportunityarises.Identify and implement containerization, networking, and security bestpractices for our web and ML back-end applications.Help us scale up our ML pipeline packaging by improving how wedistribute the inference workload to multiple nodes. Ensure the reliability and observability of our pipelines byintroducing monitoring, metrics, and logging tools.Increase our development velocity by leveraging containerization,infrastructure-as-code, and modern CI/CD practices.Create tools, automation scripts, and processes to manage our ML modelsand our datasets.Project Requirements:What YoullNeedBS in Computer Science/Engineering or equivalent technicalexperience.5+ years of internet technology work experience, as a programmer orinfrastructure-as-code developer.2+ years experience working with production infrastructure-as-codetechnologies (e.g. AWS CDK, Terraform, Pulumi, etc.)Comfortable with cloud technologies; cloud compute, storage,monitoring, and networking.Experience in implementing secure design principles and working withinindustry’s compliance standards (PCI-DSS, ISO, SOC 2, GDPR,etc.)Strong familiarity with the GitHub ecosystem and modern CI/CDpractices.Customer obsession! We are a customer-obsessed company. If you are notalready customer-obsessed, expect to become soNice to HaveDeep knowledge and experience in at least one major cloud computingplatform (AWS, Azure, and/or Google Cloud) – note that we arecurrently multi-provider (AWS, Azure.)Experience in distributed ML inference with platforms such as AWSSagemaker, GCP Vertex, Seldon, or Kubeflow.Interest and experience in building complete code-to-productionpipelines.Experience configuring and managing Kubernetes clusters.Familiarity with ML architectures and lifecycle, especially in computervision with deep learningCompensation and BenefitsFlexible scheduleUnlimited paid leaveRemote work & home office stipendWellness benefitsHow to apply for this opportunity?Register or login on our portal & fill out the applicationClear the given AI Screening (30 min) and Click on Apply to getshortlistedOur team of talent matchmakers will matchmake you with the HiringPartnerCrack a quick interview with our Hiring PartnerLand your global dream job and get your exciting career started!About our Hiring Partner:Gather AI is a supplychain robotics company founded by the PhDs from Carnegie Mellon’sRobotics Institute who created the world’s first provably-safe autonomoushelicopter. We have developed an Inventory as a Service platform wherefully autonomous drones collect warehouse inventory data at a press of abutton.About Uplers:Our goal is to make hiring reliable,simple, and fast. Our role will be to help all our talents find and applyfor relevant opportunities and progress in their career. We will supportany grievances or challenges you may face during the engagement. You willalso be assigned to a dedicated Talent Success Coach during the engagement.(Note: There are many more opportunities apart fromthis on the portal. Depending on the assessments you clear, you can applyfor them as well). So, if you are ready for a new challenge, a great work environment, andan opportunity to take your career to the next level, don’t hesitateto apply today. We are waiting for you!Tagged as: remote, remote job, virtual, Virtual Job,virtual position, Work at Home, work from home
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