Sr DevOps Engineer

Description

We are looking for a Sr. DevOps Engineer to help strengthen and scale a cloud-based platform in San Francisco, California. This opportunity is ideal for a senior engineer who can improve infrastructure performance, streamline delivery processes, and support production systems in a hybrid work environment. The role partners closely with engineering teams to build dependable deployment practices, enhance platform visibility, and maintain stable operations across modern cloud services.
This is a contract to permanent opportunity and requires 2 days a week on site.
Responsibilities: Develop, manage, and optimize cloud infrastructure that supports the company's live SaaS environment. Create and maintain delivery pipelines for application services and machine learning workloads to enable efficient releases. Oversee deployments across serverless components and container-based applications while ensuring consistency and reliability. Administer and support a PostgreSQL data environment, including performance, availability, and operational upkeep. Strengthen system dependability by improving monitoring, alerting, logging, and overall platform observability. Automate provisioning and release processes through infrastructure-as-code practices using tools such as Terraform. Collaborate with backend and machine learning teams to address infrastructure needs and enable smooth deployment workflows. Participate in production support activities, including incident response and an on-call rotation. Contribute to operational improvements that reduce manual effort and increase platform stability over time.

Requirements

5+ years of experience in DevOps, platform engineering, infrastructure engineering, site reliability engineering, or a closely related field.
Hands-on experience working with AWS in production environments.
Strong background using Terraform for infrastructure automation; exposure to Ansible is a plus.
Practical experience building and supporting CI/CD pipelines within Git-based development workflows.
Programming ability in Python and at least one additional scripting or programming language used for automation.
Experience supporting PostgreSQL databases in production settings.
Familiarity with serverless architectures and containerized services in cloud environments.

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