Platform Site Reliability Engineer

Remote - United Statesfull time

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Remote

mid

H1B: no

Localitymediallcdbafirstdue Platform Site Reliability Engineer builds, scales, and maintains cloud infrastructure and deployment pipelines to improve system reliability and performance. The role partners with engineering, product, and security teams to enhance automation, observability, and operational excellence.

Responsibilities

Infrastructure & Platform Engineering
Design, implement, and maintain scalable, secure, and highly available cloud infrastructure.
Build and manage infrastructure-as-code solutions to support repeatable and reliable deployments.
Continuously improve platform reliability, resiliency, scalability, and performance.
Partner with engineering teams to ensure services are designed and operated with reliability and observability in mind.
Support disaster recovery, backup, and business continuity initiatives.
DevOps & Automation
Design, implement, and maintain CI/CD pipelines to enable efficient and reliable software delivery.
Automate manual operational tasks and improve deployment processes across environments.
Partner with engineering teams to streamline development workflows and reduce operational overhead.
Improve release management practices and deployment strategies.
Champion DevOps best practices across the organization.

Qualification

Knowledge of networkingStrong analyticalExperience with AWSExperience with KubernetesExperience with TerraformExperience with GitHub ActionsExperience with Database Operations

Required

5+ years of experience in Site Reliability Engineering, DevOps, Cloud Infrastructure, Platform Engineering, or a related role.
Strong experience managing and supporting production cloud environments.
Experience building and maintaining CI/CD pipelines and deployment automation.
Strong understanding of infrastructure-as-code principles and tooling.
Experience troubleshooting production systems and resolving complex operational issues.
Knowledge of networking, security, scalability, and high-availability architectures.
Strong scripting or automation experience using languages such as Python, Bash, PowerShell, or similar.
Experience working closely with software engineering teams throughout the software development lifecycle.
Strong analytical, problem-solving, and communication skills.
Ability to balance operational stability with delivery speed and business priorities.

Preferred

Experience supporting high-growth SaaS platforms.
Experience with AWS, Azure, or Google Cloud Platform.
Experience with Kubernetes, Docker, and containerized environments.
Experience with Terraform, Pulumi, CloudFormation, or other infrastructure-as-code tools.
Experience with GitHub Actions, GitLab CI/CD, Jenkins, CircleCI, or similar automation platforms.
Experience with observability platforms such as Datadog, New Relic, Grafana, Prometheus, Splunk, or similar tools.
Experience with Database Operations, Database Scacling, Query Optimization, and BCDR
Experience with implementing Zero-downtime deployments