Platform Engineer
Carbon Mapper
- Location
- United States
- Workplace
- Remote
- Employment
- Full Time
- Salary
- USD 130,000–150,000/yr
Posted 2mo ago
The employer’s full description could not be read from their board. This is a summary of the posting — follow the apply link for the original.
Responsibilities
- Support, operate, and improve cloud infrastructure
- Support AWS cloud services
- Deploy, configure, and troubleshoot cloud resources
- Identify and implement infrastructure improvements
- Maintain, improve, and troubleshoot GitLab CI/CD pipelines
- Standardize deployment workflows
- Automate repetitive manual tasks
- Improve logging, metrics, and dashboards
- Participate in incident response and follow-up
- Triage and troubleshoot issues
- Help implement guardrails for secure and efficient cloud operations
- Identify underused, misconfigured, or inconsistent resources
- Write and maintain deployment guides, runbooks, and operational references
- Partner with software engineers and scientists on effective use of platform tools
Requirements
- 3+ years of experience in platform engineering, DevOps, cloud operations, infrastructure, systems administration, software engineering, data engineering, or a related technical role
- Hands-on experience with AWS or another major cloud provider
- Familiarity with serverless, containerized, or batch-oriented cloud workloads
- Experience with CI/CD concepts and tools, preferably GitLab CI/CD
- Experience with scripting or software development in Python, Bash, JavaScript, or a similar language
- Familiarity with Linux command-line tools and common software development workflows
- Basic understanding of networking, IAM/access control, environment configuration, and deployment concepts
- Familiarity with observability concepts such as logs, metrics, dashboards, alerting, and incident response
- Ability to troubleshoot technical issues using logs, diagnostic tools, documentation, and methodical investigation
- Strong writing, documentation, communication, and collaboration skills across engineering and science teams
- Interest in learning new tools, improving operational processes, and supporting production systems
Preferred
- Experience with AWS services such as Lambda, Step Functions, ECS, AWS Batch, CloudWatch, S3, IAM, or VPC networking
- Experience building or maintaining GitLab CI/CD pipelines
- Experience with New Relic, PagerDuty, Grafana, Prometheus, or similar observability and incident management tools
- Experience with Infrastructure as Code tools such as AWS CDK for Python, Pulumi, or similar
- Experience with Docker, EKS, Kubernetes, JupyterHub, or related platform technologies
- Experience supporting production systems, incident response, or on-call rotations
- Experience supporting data pipelines, batch jobs, scientific workflows, geospatial data, or data-intensive cloud environments
- Experience with cloud cost monitoring, resource tagging, rightsizing, or infrastructure cleanup
Skills
- AWS
- Lambda
- Step Functions
- ECS
- AWS Batch
- CloudWatch
- S3
- IAM
- GitLab CI/CD
- Python
- Bash
- JavaScript
- Linux
- New Relic
- PagerDuty
- Grafana
- Prometheus
- AWS CDK
- Pulumi
- Docker
- EKS
- Kubernetes
- JupyterHub
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