Platform Engineer

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


Required Skills -


Python, Platform engineering, Infrastructure As Code, Automation


Job Duties -
• 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


Job Requirements -
• 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


Desired Skills & Experience -
• Streaming platforms such as Kafka/NATS/Kinesis/Event Hub
• Databricks/Apache Spark
• Elastic Search
• Apigee
• Datadog/New Relic