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DevOps Engineer - Los Angeles California

Company: BuildOps
Location: Los Angeles, California
Posted On: 01/17/2025

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  • Knowledge of modern metrics and APM systems (Datadog, New Relic, Prometheus, Grafana, StatsD, etc)Collaboration & Support:
    • Work closely with development, QA, and product teams to ensure smooth software delivery.
    • Provide support for incident management and troubleshooting.What We Look For:
      • Bachelor's degree in Computer Science, Engineering, or a related field; Master's degree preferred.
      • 3+ years of experience in DevOps or related roles.
      • Proficiency in cloud platforms such as AWS, Azure, or Google Cloud.
      • Experience with CI/CD tools like Jenkins, GitLab CI, or CircleCI.
      • Strong scripting skills in languages like Bash, Python, or Ruby.
      • Familiarity with containerization technologies such as Docker and Kubernetes.
      • Excellent problem-solving skills and attention to detail.
      • Strong communication skills and ability to work collaboratively in a team environment.
      • Ability to work in a fast-paced, dynamic startup environment and adapt to change.
      • Ability to work hybrid schedule - Monday/Friday WFH, Tuesday - Thursday, in office.What we offer:
        • Competitive base salary + bonus.
        • Company equity/stock options.
        • Comprehensive benefits package.
        • Work from home stipend and flexible PTO.
        • MacBook computer and accessories.
        • Fast-paced, collaborative, and dynamic work environment.
        • Opportunities for growth and career advancement.
        • Chance to work with cutting-edge technology and innovative solutions.
        • Ability to make a significant impact on the growth and success of the company.About BuildOps:BuildOps is a fast-paced, high-growth start-up committed to transforming a $300B+ industry through an innovative all-in-one SaaS platform. Leveraging the latest technology, we're taking Commercial Specialty Contractors from the world of pen and paper to cloud-based, data-driven operations.
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