Platform Engineer II

Amerisure Insurance•Farmington Hills, MI

10d•Hybrid

About The Position

The Platform Engineer II works with application engineering teams to enhance the design, development, and maintenance of an internal developer platform (IDP) that provides self-service capabilities. The role handles complex platform responsibilities, including optimizing cloud-based solutions, ensuring compliance with security policies, and implementing scalable automation to improve efficiency and reduce manual processes. This is a hybrid position based at Amerisure’s Farmington Hills, Michigan office, with three days in the office and two days working from home. Amerisure describes its total rewards package as including competitive base pay, performance-based incentive pay, health and welfare benefits, a 401(k) savings plan with profit sharing, paid time off programs, and flexible work arrangements.

Requirements

Bachelor’s degree in computer science, engineering, or a related field, or equivalent experience.
3 years of experience in Platform Engineering, DevOps, or Site Reliability Engineering (SRE), focused on building developer platforms.
3 years of experience with DevOps principles, including version control systems such as Git and CI/CD pipelines.
3 years of experience working with cloud platforms such as AWS, Azure, or OCI.
AWS Solutions Architect certification or equivalent experience.
3 years of experience with Infrastructure as Code tools such as Terraform, CloudFormation, and Ansible.
3 years of experience with containerization and orchestration tools such as ECS, EKS, Docker, and Kubernetes.
Experience deploying and managing large-scale cloud data platforms or infrastructure, such as Databricks, Aurora, or RDS.
Databricks Platform Administrator certification or equivalent experience.
Experience designing and building self-service infrastructure, preferably within a microservices architecture.
5 years of progressive server administration experience with Windows and Linux.
Experience leveraging artificial intelligence to drive innovation and solve complex problems, including implementing AI-driven solutions to optimize processes, enhance decision-making, or create business outcomes.
Expertise with monitoring and observability tools such as Datadog and PagerDuty.
Scripting skills in Bash, Python, or PowerShell.
Strong understanding of networking, security, and identity management in cloud environments.
Knowledge of security best practices and compliance frameworks such as SOC2 and ISO 27001.
Strong knowledge of agile methodologies.
Strong problem-solving skills and ability to work in a fast-paced, collaborative environment.
Excellent communication and teamwork skills.

Nice To Haves

Certification in containerization and orchestration tools is preferred.

Responsibilities

Contribute to the design and implementation of scalable, reliable platform services for product engineering teams.
Build tools, libraries, and frameworks that improve developer experience and streamline deployment pipelines.
Maintain the infrastructure codebase with attention to quality and security practices.
Help maintain self-service infrastructure capabilities, including CI/CD pipelines, automated provisioning, and monitoring systems.
Implement and manage infrastructure using IaC tools such as Terraform, CloudFormation, and Ansible to provide consistent development, staging, and production environments.
Monitor platform performance and reliability with logging and alerting systems such as Datadog and PagerDuty, and provide input on resource utilization and system stability.
Manage containerized environments with tools such as ECS and Docker, and work with development teams to deploy and monitor orchestration systems such as EKS and Kubernetes.
Develop and maintain scalable, high-performance data platform infrastructure using technologies such as Databricks and AWS RDS.
Collaborate with software engineers, QA, and DevOps teams to understand platform needs and improve development and deployment workflows.
Support platform security, compliance, and reliability in accordance with organizational policies and best practices, automating related processes where possible.
Optimize data workflows and infrastructure through automation and performance tuning.
Stay informed about technologies and trends in platform engineering, cloud services, and DevOps, and identify opportunities to improve processes and tools.