3 Docker Registry Jobs

Job Duties and Responsibilities Drive the long-term architecture of our CI/CD platform and developer tools; be the thought Leader in optimizing for developer productivity. Design CI and automation components for the scale of Okta, which, at its peak, runs over 55 million tests a day. Set direction and influence the development of tools that support the end-to-end lifecycle of code management Act as an innovator by advising, recommending, and managing the introduction of new technology and practices Consults with other architects across the R&D and Infrastructure Engineering teams to ensure our solution is addressing the top concerns of engineers Build high-quality tools and automation for internal use to support continuous integration, continuous delivery, and developer productivity. Design software or customize software for engineering use with the aim of optimizing operational efficiency. Provide technical input by implementing Proof of Concept, influence the choice of the right technology, contribute to existing frameworks, and review design and code. Roll out deliverables to internal customers in phases, monitor adoption, collect feedback, and fine-tune the project to respond to internal customers needs. Support pre-prod infrastructure in the cloud--monitoring, backup and restore, SLA, cost control, deployment. Minimum REQUIRED Knowledge, Skills, and Abilities: In-depth understanding of application development, micro services architecture, and successful elements of a multi-service ecosystem In-depth knowledge of large-scale and high-transactional continuous integration systems aimed at performance, accuracy, and stability. Expert at Git, maven, build automation tools (e.g,. Jenkins, CircleCI, Github Actions) Experience with public cloud(AWS), its services, and its supporting tools (cost control, reporting, environment management). Experience working with Gradle, Bazel, Artifactory, Docker Registry, npm registry, and Github Administration. Experience in Kubernetes is a plus. Experience in developing/managing infrastructure as a service is a plus. Education and Training: B.S. in CS or equivalent

Job Title Generative AI Architect Responsibilities Collect architecture requirements for system/ application from multiple stakeholders Anchor technology comparison and selection activities supported by PoCs Define application architecture – logical, technical, information & deployment Communicate architecture to project teams & business users Implement architecture by guiding project teams Anchor NFRs implementation & validation in project Drive standards and reuse in project implementation Work closely with Data scientists to embed/ integrated ML models in application Explore new advances in technology continuously and execute PoCs in emerging areas Identify solution ideas and develop new solutions Mentor junior team members & evangelize new technologies in organization Technical and Professional Requirements: J2EE – full stack, Python Containerization – Docker, Docker registry, Kubernetes, OpenShift ML Ops – Kubeflow/ ML Flow/ Airflow/ Data Robot Cloud platform architecture & AI capabilities on Cloud - Azure, AWS, GCP Knowledge of architecture and design patterns Past experience of playing Technical Architect role Preferred Skills: Technology->Architecture->Architecture - ALL Technology->Machine Learning->Accord Technology->Machine Learning->AI/ML Solution Architecture and Design->generative ai Additional Responsibilities: Min. 9+ years of relevant experience In-depth knowledge of design issues and best practices Solid understanding of object-oriented programming Familiar with various design, architectural patterns and software development process. Experience with both external and embedded databases Creating database schemas that represent and support business processes Implementing automated testing platforms and unit tests Good verbal and written communication skills Ability to communicate with remote teams in effective manner High flexibility to travel Educational Requirements Bachelor of Engineering Service Line AI & Automation Service Line * Location of posting is subject to business requirements

Key Responsibilities: 7+ years of recent hands-on experience in development and/or DevOps. Strong experience in container orchestration and deployment using Docker and Kubernetes. Expertise in building, updating, and managing Docker Images. Proficiency in configuration management tools such as Ansible or Chef. Experience in CI/CD Pipelines in a globally distributed environment using tools like Git, Artifactory, Jenkins, Docker registry, etc. Hands-on experience with Azure DevOps for building and updating CI/CD pipelines. Strong core Java, J2EE, Spring knowledge for integration with DevOps workflows. Excellent scripting skills with tools such as Bash and Python. Proficiency in deploying and managing microservices using container orchestration platforms. Experience in building solutions focused on monitoring, logging, security, and scalability of applications. Knowledge and experience with Active Directory, LDAP, DNS, DHCP, and Firewalls. Preferred Skills: Familiarity with cloud applications and microservices architectures. Experience in Jenkins or other CI tools is a plus. Certified Kubernetes Administrator (CKA) and/or Certified Kubernetes Application Developer (CKAD) is an added advantage. Certifications: Certified Kubernetes Administrator (CKA) and/or Certified Kubernetes Application Developer (CKAD) are a plus.