Sr DevOps Engineer


Alpha Omega Integration LLC

2019-09-04 12:34:10

Job location Silver Spring, Maryland, United States

Job type: fulltime

Job industry: I.T. & Communications

Job description

Sr DevOps Engineer

Location: Silver Spring, MD
Fulltime(Remote work available after 2-3 Months of on-site work)

Job Description
We are seeking a Senior-Level DevOps Engineer with cloud experience to support a Federal cloud Infrastructure as a Service (IaaS) contract for National Environmental Satellite, Data, and Information Service (NESDIS) in Silver Spring, MD. The Cloud DevOps Engineer understands the Software Development Lifecycle (SDLC) and has an in-depth understanding of automation tools for developing, implementing, and maintaining digital pipelines (CI/CD pipelines). The Cloud DevOps Engineer will liaise with NESDIS scientists and HPC Architects to containerize their algorithm and integrate the container image into the cloud-based development environment.

Responsibilities

    1. Design and implement a containerization strategy in Dev that could be applied to Ops for a cloud-based environment (AWS, GCP, or Microsoft Azure).

    1. Automate management and orchestration tasks. Building CI/CD pipelines for Microservices and deployment to Kubernetes

    1. Conduct root cause analysis for container runtime problems.
    2. Author documentation and procedures for NESDIS DevOps in a cloud-based environment.

    1. Monitor, measure, and automate all things to ensure exceed performance and availability goals.
      Identify bottlenecks in development and deployment processes.

    1. Participate and potentially lead technical presentations on the work.
    2. Understand the current systems, algorithms, and cloud-based HPC architecture.

  1. Instrument the infrastructure with frameworks that can be appropriately adopted for logging, monitoring, and alerting.
  2. Participate in team meetings, interface independently with SMEs, and interact with funding clients.

Education
Bachelor of Science (BS) + 5 Years Experience -- OR --
Master of Science (MS) + 3 Years Experience
Area of Study: Computer Science; Computer Engineering

CERTIFICATIONS:

  1. AWS Certified SysOps Administrator OR GCP Associate Cloud Engineer OR Microsoft Certified: Azure Administrator Associate (Required)
    AWS Certified DevOps Engineer Professional -- OR Microsoft Certified: Azure DevOps Engineer Expert (Desired)

Required Experience/Skills Qualifications

  1. 5+ years professional Linux experience (Red Hat Enterprise Linux (RHEL) preferred).
  2. 3+ years Docker/Kubernetes container infrastructure and orchestration.
  3. 2+ years design and maintenance expertise with system administration of Cloud infrastructure, including Amazon Web Services, Google Cloud Platform, and/or Microsoft Azure cloud services.
    Build and Deployment Management (Jenkins) in a CI/CD workflow.
  4. Strong shell scripting skills (BASH, CSH).
  5. Strong scripting language skills (Python, Perl).
  6. Experience with systems and IT operations.
  7. Excellent written, oral, and verbal communication skills.
  8. Ability to obtain a Public Trust clearance.
  9. US Citizenship and must continuously reside in the United States for the last two years.

Preferred Qualifications

    1. 5+ years Docker/Kubernetes container infrastructure and orchestration.
    2. 3+ design and maintenance expertise with system administration of Cloud infrastructure, including AWS, such as provisioning (using Cloudformation or Terraform), logging or monitoring, and articulating these concepts to technical and non-technical audiences.
    3. Experience with IaaS, PaaS; implementing scalable cloud-based environments and systems;
    4. service-oriented architectures and microservices; deploying resilient, scalable, high-throughput systems that process large amounts of data.

    1. Experience with cloud vendor-specific monitoring tools (AWS CloudWatch, GCP Stackdriver, Azure Monitor).

  1. Experience with microservices, serverless architectures, and clusters.
  2. Experience implementing HPC solutions in a commercial cloud environment, specifically with Amazon Web Services, Google Cloud Platform, and/or Microsoft Azure.
  3. Scientific background to contextualize algorithms and applications being containerized.

- provided by Dice

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