94 applicants

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Company

Scout Motors Inc. · 1 month ago

Senior Site Reliability Engineer

Remote, United States

Full-time

Remote

Senior Level, Lead/Staff

$150K/yr - $180K/yr

8+ years exp

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Responsibilities

Contribute to the design, implementation, and maintenance of the overall cloud infrastructure platform using modern IaC (Infrastructure as Code) practices.

Work closely with software development and systems integration teams to build end-to-end solutions.

Design and build infrastructure utilizing container orchestration such as EKS/K8S

Provide and participate in an Incident Response process for establishing disaster recovery practices.

Ensure high uptime of critical systems.

Design and implement an availability reporting framework working with engineering teams to develop SLO and SLI measurements and targets

Participate in scaling and performance testing of critical components and services

Design and implement cloud infrastructure components, ensuring high availability, reliability, scalability, and performance.

Implement monitoring solutions to proactively identify and address potential issues.

Implement logging solutions to facilitate efficient troubleshooting and analysis.

Collaborate with security teams to ensure the platform meets industry standards and compliance requirements.

Collaborate with cross-functional teams, including product managers, developers, and QA engineers to ensure robust and reliable systems.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Cloud infrastructureInfrastructure as CodeContainer orchestrationAutomation languagesConfiguration managementCI/CD toolsCloud platformsMonitoring toolsLogging solutionsTeaching approach

Required

Bachelor's degree in computer science, information technology, or related field or equivalent work experience.

8+ years of hands-on experience as a Site Reliability, DevOps, or Cloud engineer.

Proficient in building automation using languages such as Python, Shell, Ruby, and others.

Strong experience with containerization technologies (Docker, Kubernetes).

Expertise in configuration management tools (e.g., Ansible, Chef, Puppet).

Solid understanding of CI/CD concepts and tools (GitHub Actions, GitLab Pipelines, Harness.io, ArgoCD).

Multiple years of experience working with cloud platforms such as AWS, Azure, or Google Cloud.

Experience with monitoring and alerting tools such as Datadog, New Relic, SignalFX, Prometheus, AWS CloudWatch etc.

Experience with logging solutions AWS CloudWatch, ELK, Splunk or equivalent.

Experience with infrastructure as code (Terraform, Pulumi, or CDK).

Excellent problem-solving and troubleshooting skills. When a problem occurs, you run towards it not away.

Effective communication and collaboration skills. You treat colleagues with respect. You have a desire for clean implementations but are also humble in discussing alternative solutions and options.

A teaching and coaching approach to guiding engineers and teams in approaches.