Job Description

Our client is seeking a Senior Platform Engineer / Software Engineer to join their engineering team. Perfect for a skilled software engineer who also has cloud and infrastructure experiences and looking to grow! Great opportunity for software tooling!

Required Skills -

Python, Platform engineering, Infrastructure As Code, Automation

Must have a software engineering/problem solving background.

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

This is a remote position.