Platform Engineer
Equiliem
Platform Engineer Location: Onsite in Seattle, WA Visa: GC and USC only - W2 Role Location: - Seattle, WA. (need to be local and be okay with a final round interview that is onsite) Top Skills:
- Python
- Platform Engineering
- IaaS
- Automation
- Platform Engineering: highly proficient with tools like Ansible, Docker, Kubernetes, and Terraform; deep experience building and maintaining CI/CD pipelines, automating deployments, and managing infrastructure as code
- Strong scripting abilities, particularly in Python and shell scripting, for automation, data manipulation, and system administration tasks
- Architecting and building internal software tools. Must have a software engineering/problem solving background.
- Experience with Distributed Systems and Microservices: The roles and responsibilities involve working with complex, distributed systems and microservices architectures
- Strong understanding of CI/CD including deployment automation, configuration management, test, and source code/git repositories
- Experience with containers and orchestration
- Experience with NoSQL and SQL databases, including at an administration and architecture level
- Experience and preference for working within an Agile/Scrum environment
- Experience with monitoring tools (Prometheus, Grafana for example) and the ability to diagnose and resolve performance and availability issues in distributed systems
- A strong history of diving in and solving complex problems
- 8 years software engineering
- 4+ years of software engineering in App Dev capacity
- 4+ years of automation and scripting using Python
- 8+ years of experience building automation/configuration management infrastructure such as Ansible, Terraform, Chef, and/or Puppet
- 8+ years of experience of building CI/CD pipelines
- 6+ years of experience with deployment of production code leveraging Docker containers
- Experience using cloud services (AWS and Azure preferred); public cloud IaaS and PaaS services
- Experience with large-scale distributed systems architectures. Examples include Java/Spring Boot, CQRS, event streaming, Kafka, Spark Knowledge in databases
- Streaming platforms such as Kafka/NATS/Kinesis/Event Hub
- Databricks/Apache Spark
- Elastic Search
- Apigee
- Datadog/New Relic Equiliem
Vacancy posted 4 days ago
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