DevOps Engineer

Recruiting From Scratch

  • San Francisco, California
  • 30+ days ago

    Highlights

    This organization is making strides in the B2B software development space, particularly within API SDKs and AI-driven solutions. Familiarity with programming in Python and working with monitoring tools like Prometheus.

    Numbers & Facts

    LocationSan Francisco, California

    Description

    DevOps Engineer

    • Title of Role: DevOps Engineer
    • Location: San Francisco, on-site or remote
    • Company Stage of Funding: Series B
    • Office Type: On-site or remote
    • Salary: $150K–$240K

    Company Description

    We're representing a dynamic company focused on delivering fast, secure integrations for their products and agents. This organization is making strides in the B2B software development space, particularly within API SDKs and AI-driven solutions. With a strong commitment to innovation and excellence, they are poised for significant growth as they continue to enhance their enterprise offerings.

    What You Will Do

    • Design and implement robust infrastructure solutions using AWS, GCP, and Azure.
    • Automate deployment processes with Terraform and Kubernetes to improve efficiency.
    • Monitor system performance with Prometheus and troubleshoot issues proactively.
    • Manage data solutions utilizing Redis, ElasticSearch, RDS, and Redshift.
    • Collaborate with engineering teams to streamline CI/CD pipelines using Argo CD and Atlantis.
    • Ensure the security and reliability of integrations across various platforms.
    • Contribute to architectural decisions that enhance scalability and performance.

    Ideal Candidate Background

    • 8–10 years of experience in a DevOps or Infrastructure Engineering role.
    • Proficient in cloud services, specifically AWS, GCP, and Azure.
    • Strong experience with container orchestration tools, particularly Kubernetes.
    • Skilled in automation and configuration management using Terraform.
    • Familiarity with programming in Python and working with monitoring tools like Prometheus.
    • Experience with data management technologies such as Redis and ElasticSearch.

    Preferred

    • Experience with streaming data solutions, including Kinesis.
    • Knowledge of advanced CI/CD practices and tools.
    • Familiarity with the AI and enterprise software development landscape.
    • Previous involvement in a Series B funded startup environment.

    Compensation and Benefits

    The salary for this role ranges from $150K to $240K, complemented by competitive equity options. This is an excellent opportunity to join a forward-thinking company that values innovation and offers a collaborative work environment.

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