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Cloud Production Support Engineer

  • New Hampshire, Merrimack

  • 05/14/2026

  • Contract

  • Active

Job Description:

  • Job Summary
    The Cloud Production Support Engineer is responsible for maintaining the stability, performance, and resilience of cloud-based archival platforms. 
    The role focuses on observability, real-time performance monitoring, automation of response mechanisms, and reducing operational risk while improving recovery time. 
    This position requires hands-on cloud expertise, strong troubleshooting abilities, and the ability to collaborate across multiple technical teams.

    Key Responsibilities
    • Support cloud-based applications and archival platforms to ensure high availability, reliability, and stability.
    • Enhance observability capabilities to improve real-time monitoring and visibility into application and infrastructure performance.
    • Automate response mechanisms to reduce operational risk and improve recovery times.
    • Troubleshoot and resolve cloud-related production issues, including networking, compute, storage, and application performance problems.
    • Collaborate with cross-functional teams to document issues, share knowledge, and ensure effective communication.
    • Maintain and support infrastructure components such as EC2, VPC, S3, IAM, and Lambda.
    • Utilize tools and technologies for CI/CD, monitoring, logging, and container orchestration.
    • Support WORM-compliant archival systems ensuring data integrity and regulatory adherence.
    • Apply scripting and programming skills to automate tasks and support production environments.
    • Troubleshoot under pressure and provide timely resolutions to production incidents.
    • Learn and navigate basic mainframe systems as needed.

    Required Qualifications
    • Experience working with AWS services including EC2, VPC, S3, IAM, Lambda, and CloudFormation.
    • Knowledge of Terraform for infrastructure as code.
    • Strong Linux experience.
    • Understanding of networking, firewalls, and load balancers.
    • Experience with Docker and Kubernetes.
    • Programming or scripting experience with Java, Python, Bash, or PowerShell.
    • Experience with CI/CD and DevOps tools.
    • Knowledge of monitoring, logging, and observability tools and practices.
    • Database and storage knowledge.
    • Ability to problem-solve, document solutions, and collaborate across teams.
    • Ability to troubleshoot effectively under pressure.
    • Motivation to learn mainframe navigation.
    • Strong communication and teamwork skills.

    Preferred Qualifications
    • Knowledge of GenAI technologies.
    • Good understanding of CICS systems.
    • Experience supporting WORM-compliant archival platforms.

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