About the teamWe are seeking a highly skilled Modern Platform Engineer with expertise in Cloud Computing on AWS, running workloads in Kubernetes, and a focus on ML Ops and other Data Engineering workloads. This is a challenging and exciting opportunity for a highly motivated and skilled Modern Platform Engineer to join our team and work on cutting-edge technologies. The ideal candidate will have a deep understanding of cloud infrastructure, containerization, and automation, as well as experience in designing, deploying, and maintaining complex systems. The candidate should also have experience in data engineering, machine learning, and data pipelines. If you are passionate about cloud computing, Kubernetes, and ML Ops or other data engineering workloads, we encourage you to apply.What you'll doDesign, deploy, and maintain cloud infrastructure on AWSDevelop and maintain Kubernetes clusters for running workloadsBuild and maintain CI/CD pipelines for deploying applicationsDevelop and maintain data pipelines for ML Ops or other data engineering workloadsCollaborate with data scientists and engineers to design and deploy ML modelsMonitor and troubleshoot system performance and availabilityAutomate infrastructure and application deploymentsStay up-to-date with emerging technologies and industry trendsWho you areBachelor's degree in Computer Science or related field5+ years of experience in cloud computing on AWS3+ years of experience in Kubernetes and container orchestrationExperience in ML Ops or other data engineering workloads Experience in data engineering, machine learning, and data pipelinesStrong programming skills in Python, Java, or GoExperience in automation and infrastructure as codeStrong problem-solving skills and attention to detailExcellent communication and collaboration skillsStrong understanding of complex distributed systemsExperience with monitoring and alerting systemsPreferred QualificationsMaster's degree in Computer Science or related fieldAWS certificationKubernetes certificationExperience in Terraform, Helm, or other infrastructure as code toolsExperience in Docker or other containerization technologiesExperience in data visualization and dashboarding toolsExperience with big data technologies (Hadoop, Spark)We value diversityWe know that the best ideas come from teams where diverse points of view uncover new solutions to hard problems. We welcome and value individuals who bring diverse life experiences, educational backgrounds, cultures, and work experiences.Compensation & BenefitsThe salary band for this position ranges from $155,000 - $200,000, commensurate with experience and performance. Compensation may vary based on factors such as cost of livingThis position will be eligible for a competitive year end performance bonus & equity packageFull medical, dental, vision package to fit your needs Flexible vacation policy; work hard and take time when you need it Pet discount plans & retirement plan with company match (401K) The rare opportunity to work with sharp, motivated teammates solving some of the most unique challenges and changing the world #LI-Remote
