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    Devops Engineer Level 2 - Union, United States - Strategic Data Systems

    Strategic Data Systems
    Strategic Data Systems Union, United States

    1 week ago

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    Description
    11th June, 2024

    For more than three decades, Strategic Data Systems (SDS) has been a software consultancy firm specializing in strategy, technology, and business transformation for Fortune 100 companies, mid-sized firms, and startups. At SDS, we empower our development teams to address our clients' critical business challenges by leveraging cutting edge technologies. If you seek a workplace where your contributions are truly appreciated, then SDS is the company for you. Join us today to work alongside fellow development specialists and become a crucial part of our dynamic and cohesive community.

    What You'll Do

    We are looking for an experienced Senior DevOps Engineer / Architect who is comfortable with automating and maintaining cloud infrastructures as it relates Azure Kubernetes Service and applications running within it. We support a diverse set of needs across application hosting, data science, and AI workloads and want to increase our team's capacity to work on new projects, support existing workloads, and provide recommendations / automation for improvements to our hosting platform. You will be supporting the platform, with a particular priority focus on certain highly available applications during "second shift" hours (4P-12A) as primary working hours for coverage, with expectations to participate in an on-call rotation. This will mean a drive to understand our systems and become a relatively independent operator as our core hours are 9-6 with typical on-call coverage from 8-8 EST for most team members. Communicating well via documentation, tickets, and pull requests/review process will be vital to success.

    What You'll Need
    • Proven experience as a Senior DevOps Engineer or similar software engineering role.
    • Strong experience with Kubernetes, Docker, and containerization.
    • Proficiency in scripting languages such as Python, Bash
    • Experience with CI/CD tools - we use Github Actions
    • Knowledge of cloud platforms like AWS, GCP, or Azure - Azure preferred
    • Strong problem-solving skills and attention to detail.
    • Excellent communication and teamwork skills.
    • Degree in Computer Science, Engineering or relevant field or equivalent experience (success in this role will likely require >5 years of progressive experience in Kubernetes hosting)
    • Experience with Java and Python applications hosted in containers, including resource utilization/optimization, build and deployment patterns
    • Experience with monitoring / alerting tools - we are working towards Datadog as our primary platform and have some legacy use of Dynatrace and Grafana
    Nice to Have
    • Certifications like Certified Kubernetes Administrator (CKA) or Certified Kubernetes Application Developer (CKAD).
    Key Responsibilities

    Take all of these through the lens of "understand what we have already, and improve or recommend changes to it"

    Design, build, and maintain efficient, reusable, and reliable infrastructure code.
    Implement and manage continuous delivery systems and methodologies using Kubernetes.
    Manage and optimize Kubernetes clusters for maximum efficiency and scalability.
    Work closely with development teams to identify and resolve system issues
    Implement automation tools and frameworks (CI/CD pipelines, IaC pipelines, and other cluster management software)
    Collaborate with team members to improve the company's engineering tools, systems and procedures, and data security.
    Conduct systems tests for security, performance, and availability.
    Develop and maintain design and troubleshooting documentation.
    Work within support channels as required to support applications / migration efforts

    Note to Vendors

    **Important**- This is a remote role that is open to all time zones. The required shift is 4:00pm-Midnight EST.
    Length: 6-month contract

    Top Skills/Experience:
    1. Kubernetes- complex, recent experience
    2. Azure
    3. Experience creating management strategies to deploy workload requests from AI (ML Ops)
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