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    Software Engineer - San Francisco, United States - Talent Software Services

    Talent Software Services
    Talent Software Services San Francisco, United States

    2 weeks ago

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    Description
    About The Job
    This is a unique opportunity to grow as an engineer. You will work closely with lots of product development teams, operations teams, and leadership inside the org and outside the organization to design and build tools and infrastructure to empower engineers to develop and deliver fast and produce high quality software, which will impact millions and millions of PS4 users. We look for problem solvers, who can intuitively anticipate problems; look beyond immediate issues; and take initiative to tackle the most interesting challenges and diverse technical challenges of developing software at scale. We are open to adoption of the latest tools and techniques for solving the complex problems.

    Responsibilities
    • Collaborate with cross-functional teams to develop and maintain CI/CD pipelines, ensuring high-quality software release.
    • Develop and maintain containerization solutions using Docker and Kubernetes
    • Design and build, on-boarding and support tools to accelerate build, testing, release, and deployment.
    • Conduct research on new technologies. Lead/contribute the effort of solving complex technical challenges to improve engineering productivity.
    Minimum qualifications
    • Bachelor's or master's degree in computer science or related area
    • At least 6 years software development experience in Groovy, Golang, Java or similar major programming language
    • Experience with public cloud platforms such as AWS or GCP
    • Strong understanding of CICD standard methodologies and familiar with tools used in CICD pipeline: such as Jenkins, GitHub, Artifactory, Maven, Gradle, and SonarQube
    • Demonstrated expertise in containerization technologies such as Kubernetes ,Docker, Helm is required.
    Preferred qualifications
    • Proficiency in Groovy and Golang
    • Experience with large-scale distributed systems
    • Experience with tools like Grafana, Prometheus and Data Dog will be a plus
    • Strong technical, analytical, and problem-solving skills
    • Strong interpersonal and communication skill
    • AWS certified DevOps Engineering or similar level expertise is preferred.
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