About the team: As a Staff Software Engineer with the Data Platform organization, you will be responsible for leading key initiatives that span different products and significantly affect our Kubernetes platform ecosystem, allowing our customers to create innovative, elegant, and high-performing experiences across multiple devices.   What you get to do in this role: Deploy, manage, and scale applications using KubernetesBuild software applications using containerization concepts and technologies like Docker and deploy them on Kubernetes.You will design and implement scalable, fault-tolerant systems using Kubernetes (absolute must)Leverage cloud platforms like AWS, Azure, or GCP, deploy software applications using the Kubernetes platform environment. Set up monitoring and logging systems in a Kubernetes environment using tools like Prometheus, Grafana, or ELK (Elasticsearch, Logstash, Kibana, etc.) As well as the inner workings of how to troubleshoot, performance optimization, and Kubernetes networking concepts (service discovery, land balancing, and network policies, etc). All important for building and painting reliable communication between application components.     You'll work on the continuous integration and deployment (CI/CD) Day-to-day includes scripting and automation using languages like Bash or Python to automate common tasks related to Kubernetes (cluster provisioning, application deployment, and scaling, etc.) Be able to troubleshoot and debug issues related to and around Kubernetes deployments, networking, performance, and application scalability. Build high-quality, clean, scalable and reusable code by enforcing best practices around software engineering architecture and processes (Code Reviews, Unit testing, etc.) Work with the product owners to understand detailed requirements and own your code from design, implementation, test automation and delivery of high-quality products to our users. Design software that is simple to use to allow customers to extend and customize the functionality to meet their specific needs. Contribute to the design and implementation of new products and features while also enhancing the existing product suite.Be a mentor for colleagues and help promote knowledge-sharing  To be successful in this role you have: Proficiency in working with Kubernetes is a must. Candidates should have hands-on experience with deploying, managing, and scaling applications using Kubernetes. Understanding containerization concepts and experience with containerization technologies like Docker is essential for building and deploying applications on Kubernetes. Infrastructure as Code (IaC): Familiarity with tools like Terraform or Ansible to automate the provisioning and management of infrastructure resources. Experience working with cloud platforms like AWS, Azure, or GCP, as Kubernetes is commonly deployed on these platforms. Understanding how to leverage cloud services in a Kubernetes environment is valuable. Understanding Kubernetes networking concepts, such as service discovery, load balancing, and network policies, is important for building and maintaining reliable communication between application components. Experience with CI/CD pipelines, utilizing tools like Jenkins, GitLab CI/CD, or CircleCI, to automate the build, test, and deployment of Kubernetes-based applications. Experience with scripting and automation (Bash or Python). Experience around day-to-day common tasks related to Kubernetes like, cluster provisioning, application deployment, and scaling, etc. to name a few. Strong problem-solving skills and the ability to troubleshoot issues related to Kubernetes deployments, networking, performance, and application scalability. Proficiency in implementing robust observability and monitoring practices within Kubernetes clusters, including metrics, logging, and distributed tracing, is highly desired. Familiarity with tools such as Prometheus, Grafana, Jaeger, and Elasticsearch can be advantageous. Skills in infrastructure automation using tools like Terraform or Ansible can help candidates automate the deployment and management of Kubernetes clusters and associated resources.Good interpersonal and communication skills are essential for collaborating with cross-functional teams, including DevOps, infrastructure, and software engineering teams. The ability to effectively communicate ideas, share knowledge, and work collaboratively can greatly contribute to success in this role. The field of Kubernetes and cloud-native technologies is rapidly evolving. Candidates who demonstrate a passion for continuous learning, staying updated with the latest industry trends, and actively seeking opportunities for self-improvement, can thrive in this dynamic environment. Nice to have: Cloud Native Development: Expertise in cloud-native development practices and principles is highly valuable. This includes designing applications that are loosely coupled, resilient, and can fully leverage the benefits of Kubernetes and cloud platforms. Security and Compliance: Understanding Kubernetes security best practices, container image scanning, RBAC (Role-Based Access Control), network policies, and compliance frameworks such as CIS benchmarks is important for ensuring the security and compliance of Kubernetes workloads. Familiarity with service mesh technologies like Istio or Linkerd can be an added advantage. Knowledge of how to leverage service mesh for traffic management, security, and observability within a Kubernetes environment can greatly enhance application development and management.Experience with GitOps practices, such as using Git as the single source of truth for declarative infrastructure and application configuration, can streamline deployment and management
